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21
.devcontainer/Dockerfile
Normal file
21
.devcontainer/Dockerfile
Normal file
@@ -0,0 +1,21 @@
|
||||
# See here for image contents: https://github.com/microsoft/vscode-dev-containers/tree/v0.233.0/containers/python-3/.devcontainer/base.Dockerfile
|
||||
|
||||
# [Choice] Python version (use -bullseye variants on local arm64/Apple Silicon): 3, 3.10, 3.9, 3.8, 3.7, 3.6, 3-bullseye, 3.10-bullseye, 3.9-bullseye, 3.8-bullseye, 3.7-bullseye, 3.6-bullseye, 3-buster, 3.10-buster, 3.9-buster, 3.8-buster, 3.7-buster, 3.6-buster
|
||||
ARG VARIANT="3.10-bullseye"
|
||||
FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT}
|
||||
|
||||
# [Choice] Node.js version: none, lts/*, 16, 14, 12, 10
|
||||
ARG NODE_VERSION="none"
|
||||
RUN if [ "${NODE_VERSION}" != "none" ]; then su vscode -c "umask 0002 && . /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi
|
||||
|
||||
# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
|
||||
# COPY requirements.txt /tmp/pip-tmp/
|
||||
# RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
|
||||
# && rm -rf /tmp/pip-tmp
|
||||
|
||||
# [Optional] Uncomment this section to install additional OS packages.
|
||||
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
|
||||
# && apt-get -y install --no-install-recommends <your-package-list-here>
|
||||
|
||||
# [Optional] Uncomment this line to install global node packages.
|
||||
# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1
|
||||
51
.devcontainer/devcontainer.json
Normal file
51
.devcontainer/devcontainer.json
Normal file
@@ -0,0 +1,51 @@
|
||||
// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:
|
||||
// https://github.com/microsoft/vscode-dev-containers/tree/v0.233.0/containers/python-3
|
||||
{
|
||||
"name": "Python 3",
|
||||
"build": {
|
||||
"dockerfile": "Dockerfile",
|
||||
"context": "..",
|
||||
"args": {
|
||||
// Update 'VARIANT' to pick a Python version: 3, 3.10, 3.9, 3.8, 3.7, 3.6
|
||||
// Append -bullseye or -buster to pin to an OS version.
|
||||
// Use -bullseye variants on local on arm64/Apple Silicon.
|
||||
"VARIANT": "3.10",
|
||||
// Options
|
||||
"NODE_VERSION": "none"
|
||||
}
|
||||
},
|
||||
|
||||
// Set *default* container specific settings.json values on container create.
|
||||
"settings": {
|
||||
"python.defaultInterpreterPath": "/usr/local/bin/python",
|
||||
"python.linting.enabled": true,
|
||||
"python.linting.pylintEnabled": true,
|
||||
"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
|
||||
"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
|
||||
"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
|
||||
"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
|
||||
"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
|
||||
"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
|
||||
"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
|
||||
"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
|
||||
"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
|
||||
},
|
||||
|
||||
// Add the IDs of extensions you want installed when the container is created.
|
||||
"extensions": [
|
||||
"ms-python.python",
|
||||
"ms-python.vscode-pylance"
|
||||
],
|
||||
|
||||
// Use 'forwardPorts' to make a list of ports inside the container available locally.
|
||||
// "forwardPorts": [],
|
||||
|
||||
// Use 'postCreateCommand' to run commands after the container is created.
|
||||
"postCreateCommand": "git submodule update --init && pip3 install --user -e .[dev]",
|
||||
|
||||
// Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
|
||||
"remoteUser": "vscode",
|
||||
"features": {
|
||||
"git": "latest"
|
||||
}
|
||||
}
|
||||
9
.gitattributes
vendored
Normal file
9
.gitattributes
vendored
Normal file
@@ -0,0 +1,9 @@
|
||||
# Set the default behavior, in case people don't have core.autocrlf set.
|
||||
* text=auto
|
||||
|
||||
# Explicitly declare text files you want to always be normalized and converted
|
||||
# to native line endings on checkout.
|
||||
*.py text
|
||||
*.yml text
|
||||
*.md text
|
||||
*.txt text
|
||||
92
.github/CODE_OF_CONDUCT.md
vendored
92
.github/CODE_OF_CONDUCT.md
vendored
@@ -1,46 +1,46 @@
|
||||
# Contributor Covenant Code of Conduct
|
||||
|
||||
## Our Pledge
|
||||
|
||||
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
|
||||
|
||||
## Our Standards
|
||||
|
||||
Examples of behavior that contributes to creating a positive environment include:
|
||||
|
||||
* Using welcoming and inclusive language
|
||||
* Being respectful of differing viewpoints and experiences
|
||||
* Gracefully accepting constructive criticism
|
||||
* Focusing on what is best for the community
|
||||
* Showing empathy towards other community members
|
||||
|
||||
Examples of unacceptable behavior by participants include:
|
||||
|
||||
* The use of sexualized language or imagery and unwelcome sexual attention or advances
|
||||
* Trolling, insulting/derogatory comments, and personal or political attacks
|
||||
* Public or private harassment
|
||||
* Publishing others' private information, such as a physical or electronic address, without explicit permission
|
||||
* Other conduct which could reasonably be considered inappropriate in a professional setting
|
||||
|
||||
## Our Responsibilities
|
||||
|
||||
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
|
||||
|
||||
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
|
||||
|
||||
## Scope
|
||||
|
||||
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.
|
||||
|
||||
## Enforcement
|
||||
|
||||
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
|
||||
|
||||
Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
|
||||
|
||||
## Attribution
|
||||
|
||||
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [https://contributor-covenant.org/version/1/4][version]
|
||||
|
||||
[homepage]: https://contributor-covenant.org
|
||||
[version]: https://contributor-covenant.org/version/1/4/
|
||||
# Contributor Covenant Code of Conduct
|
||||
|
||||
## Our Pledge
|
||||
|
||||
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
|
||||
|
||||
## Our Standards
|
||||
|
||||
Examples of behavior that contributes to creating a positive environment include:
|
||||
|
||||
* Using welcoming and inclusive language
|
||||
* Being respectful of differing viewpoints and experiences
|
||||
* Gracefully accepting constructive criticism
|
||||
* Focusing on what is best for the community
|
||||
* Showing empathy towards other community members
|
||||
|
||||
Examples of unacceptable behavior by participants include:
|
||||
|
||||
* The use of sexualized language or imagery and unwelcome sexual attention or advances
|
||||
* Trolling, insulting/derogatory comments, and personal or political attacks
|
||||
* Public or private harassment
|
||||
* Publishing others' private information, such as a physical or electronic address, without explicit permission
|
||||
* Other conduct which could reasonably be considered inappropriate in a professional setting
|
||||
|
||||
## Our Responsibilities
|
||||
|
||||
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
|
||||
|
||||
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
|
||||
|
||||
## Scope
|
||||
|
||||
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.
|
||||
|
||||
## Enforcement
|
||||
|
||||
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
|
||||
|
||||
Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
|
||||
|
||||
## Attribution
|
||||
|
||||
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [https://contributor-covenant.org/version/1/4][version]
|
||||
|
||||
[homepage]: https://contributor-covenant.org
|
||||
[version]: https://contributor-covenant.org/version/1/4/
|
||||
|
||||
394
.github/CONTRIBUTING.md
vendored
394
.github/CONTRIBUTING.md
vendored
@@ -1,197 +1,197 @@
|
||||
# Contributing to Capa
|
||||
|
||||
First off, thanks for taking the time to contribute!
|
||||
|
||||
The following is a set of guidelines for contributing to capa and its packages, which are hosted in the [FireEye Organization](https://github.com/fireeye) on GitHub. These are mostly guidelines, not rules. Use your best judgment, and feel free to propose changes to this document in a pull request.
|
||||
|
||||
#### Table Of Contents
|
||||
|
||||
[Code of Conduct](#code-of-conduct)
|
||||
|
||||
[What should I know before I get started?](#what-should-i-know-before-i-get-started)
|
||||
* [Capa and its Repositories](#capa-and-its-repositories)
|
||||
* [Capa Design Decisions](#design-decisions)
|
||||
|
||||
[How Can I Contribute?](#how-can-i-contribute)
|
||||
* [Reporting Bugs](#reporting-bugs)
|
||||
* [Suggesting Enhancements](#suggesting-enhancements)
|
||||
* [Your First Code Contribution](#your-first-code-contribution)
|
||||
* [Pull Requests](#pull-requests)
|
||||
|
||||
[Styleguides](#styleguides)
|
||||
* [Git Commit Messages](#git-commit-messages)
|
||||
* [Python Styleguide](#python-styleguide)
|
||||
* [Rules Styleguide](#rules-styleguide)
|
||||
|
||||
## Code of Conduct
|
||||
|
||||
This project and everyone participating in it is governed by the [Capa Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to the maintainers.
|
||||
|
||||
## What should I know before I get started?
|
||||
|
||||
### Capa and its repositories
|
||||
|
||||
We host the capa project as three Github repositories:
|
||||
- [capa](https://github.com/fireeye/capa)
|
||||
- [capa-rules](https://github.com/fireeye/capa-rules)
|
||||
- [capa-testfiles](https://github.com/fireeye/capa-testfiles)
|
||||
|
||||
The command line tools, logic engine, and other Python source code are found in the `capa` repository.
|
||||
This is the repository to fork when you want to enhance the features, performance, or user interface of capa.
|
||||
Do *not* push rules directly to this repository, instead...
|
||||
|
||||
The standard rules contributed by the community are found in the `capa-rules` repository.
|
||||
When you have an idea for a new rule, you should open a PR against `capa-rules`.
|
||||
We keep `capa` and `capa-rules` separate to distinguish where ideas, bugs, and discussions should happen.
|
||||
If you're writing yaml it probably goes in `capa-rules` and if you're writing Python it probably goes in `capa`.
|
||||
Also, we encourage users to develop their own rule repositories, so we treat our default set of rules in the same way.
|
||||
|
||||
Test fixtures, such as malware samples and analysis workspaces, are found in the `capa-testfiles` repository.
|
||||
These are files you'll need in order to run the linter (in `--thorough` mode) and full test suites;
|
||||
however, they take up a lot of space (1GB+), so by keeping `capa-testfiles` separate,
|
||||
a shallow checkout of `capa` and `capa-rules` doesn't take much bandwidth.
|
||||
|
||||
### Design Decisions
|
||||
|
||||
When we make a significant decision in how we maintain the project and what we can or cannot support,
|
||||
we will document it in the [capa issues tracker](https://github.com/fireeye/capa/issues).
|
||||
This is the best place review our discussions about what/how/why we do things in the project.
|
||||
If you have a question, check to see if it is documented there.
|
||||
If it is *not* documented there, or you can't find an answer, please open a issue.
|
||||
We'll link to existing issues when appropriate to keep discussions in one place.
|
||||
|
||||
## How Can I Contribute?
|
||||
|
||||
### Reporting Bugs
|
||||
|
||||
This section guides you through submitting a bug report for capa.
|
||||
Following these guidelines helps maintainers and the community understand your report, reproduce the behavior, and find related reports.
|
||||
|
||||
Before creating bug reports, please check [this list](#before-submitting-a-bug-report)
|
||||
as you might find out that you don't need to create one.
|
||||
When you are creating a bug report, please [include as many details as possible](#how-do-i-submit-a-good-bug-report).
|
||||
Fill out [the required template](./ISSUE_TEMPLATE/bug_report.md),
|
||||
the information it asks for helps us resolve issues faster.
|
||||
|
||||
> **Note:** If you find a **Closed** issue that seems like it is the same thing that you're experiencing, open a new issue and include a link to the original issue in the body of your new one.
|
||||
|
||||
#### Before Submitting A Bug Report
|
||||
|
||||
* **Determine [which repository the problem should be reported in](#capa-and-its-repositories)**.
|
||||
* **Perform a [cursory search](https://github.com/fireeye/capa/issues?q=is%3Aissue)** to see if the problem has already been reported. If it has **and the issue is still open**, add a comment to the existing issue instead of opening a new one.
|
||||
|
||||
#### How Do I Submit A (Good) Bug Report?
|
||||
|
||||
Bugs are tracked as [GitHub issues](https://guides.github.com/features/issues/).
|
||||
After you've determined [which repository](#capa-and-its-repositories) your bug is related to,
|
||||
create an issue on that repository and provide the following information by filling in
|
||||
[the template](./ISSUE_TEMPLATE/bug_report.md).
|
||||
|
||||
Explain the problem and include additional details to help maintainers reproduce the problem:
|
||||
|
||||
* **Use a clear and descriptive title** for the issue to identify the problem.
|
||||
* **Describe the exact steps which reproduce the problem** in as many details as possible. For example, start by explaining how you started capa, e.g. which command exactly you used in the terminal, or how you started capa otherwise.
|
||||
* **Provide specific examples to demonstrate the steps**. Include links to files or GitHub projects, or copy/pasteable snippets, which you use in those examples. If you're providing snippets in the issue, use [Markdown code blocks](https://help.github.com/articles/markdown-basics/#multiple-lines).
|
||||
* **Describe the behavior you observed after following the steps** and point out what exactly is the problem with that behavior.
|
||||
* **Explain which behavior you expected to see instead and why.**
|
||||
* **Include screenshots and animated GIFs** which show you following the described steps and clearly demonstrate the problem. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux.
|
||||
* **If you're reporting that capa crashed**, include the stack trace from the terminal. Include the stack trace in the issue in a [code block](https://help.github.com/articles/markdown-basics/#multiple-lines), a [file attachment](https://help.github.com/articles/file-attachments-on-issues-and-pull-requests/), or put it in a [gist](https://gist.github.com/) and provide link to that gist.
|
||||
* **If the problem wasn't triggered by a specific action**, describe what you were doing before the problem happened and share more information using the guidelines below.
|
||||
|
||||
Provide more context by answering these questions:
|
||||
|
||||
* **Did the problem start happening recently** (e.g. after updating to a new version of capa) or was this always a problem?
|
||||
* If the problem started happening recently, **can you reproduce the problem in an older version of capa?** What's the most recent version in which the problem doesn't happen? You can download older versions of capa from [the releases page](https://github.com/fireeye/capa/releases).
|
||||
* **Can you reliably reproduce the issue?** If not, provide details about how often the problem happens and under which conditions it normally happens.
|
||||
* If the problem is related to working with files (e.g. opening and editing files), **does the problem happen for all files and projects or only some?** Does the problem happen only when working with local or remote files (e.g. on network drives), with files of a specific type (e.g. only JavaScript or Python files), with large files or files with very long lines, or with files in a specific encoding? Is there anything else special about the files you are using?
|
||||
|
||||
Include details about your configuration and environment:
|
||||
|
||||
* **Which version of capa are you using?** You can get the exact version by running `capa --version` in your terminal.
|
||||
* **What's the name and version of the OS you're using**?
|
||||
|
||||
### Suggesting Enhancements
|
||||
|
||||
This section guides you through submitting an enhancement suggestion for capa, including completely new features and minor improvements to existing functionality. Following these guidelines helps maintainers and the community understand your suggestion and find related suggestions.
|
||||
|
||||
Before creating enhancement suggestions, please check [this list](#before-submitting-an-enhancement-suggestion) as you might find out that you don't need to create one. When you are creating an enhancement suggestion, please [include as many details as possible](#how-do-i-submit-a-good-enhancement-suggestion). Fill in [the template](./ISSUE_TEMPLATE/feature_request.md), including the steps that you imagine you would take if the feature you're requesting existed.
|
||||
|
||||
#### Before Submitting An Enhancement Suggestion
|
||||
|
||||
* **Determine [which repository the enhancement should be suggested in](#capa-and-its-repositories).**
|
||||
* **Perform a [cursory search](https://github.com/fireeye/capa/issues?q=is%3Aissue)** to see if the enhancement has already been suggested. If it has, add a comment to the existing issue instead of opening a new one.
|
||||
|
||||
#### How Do I Submit A (Good) Enhancement Suggestion?
|
||||
|
||||
Enhancement suggestions are tracked as [GitHub issues](https://guides.github.com/features/issues/). After you've determined [which repository](#capa-and-its-repositories) your enhancement suggestion is related to, create an issue on that repository and provide the following information:
|
||||
|
||||
* **Use a clear and descriptive title** for the issue to identify the suggestion.
|
||||
* **Provide a step-by-step description of the suggested enhancement** in as many details as possible.
|
||||
* **Provide specific examples to demonstrate the steps**. Include copy/pasteable snippets which you use in those examples, as [Markdown code blocks](https://help.github.com/articles/markdown-basics/#multiple-lines).
|
||||
* **Describe the current behavior** and **explain which behavior you expected to see instead** and why.
|
||||
* **Include screenshots and animated GIFs** which help you demonstrate the steps or point out the part of capa which the suggestion is related to. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux.
|
||||
* **Explain why this enhancement would be useful** to most capa users and isn't something that can or should be implemented as an external tool that uses capa as a library.
|
||||
* **Specify which version of capa you're using.** You can get the exact version by running `capa --version` in your terminal.
|
||||
* **Specify the name and version of the OS you're using.**
|
||||
|
||||
### Your First Code Contribution
|
||||
|
||||
Unsure where to begin contributing to capa? You can start by looking through these `good-first-issue` and `rule-idea` issues:
|
||||
|
||||
* [good-first-issue](https://github.com/fireeye/capa/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) - issues which should only require a few lines of code, and a test or two.
|
||||
* [rule-idea](https://github.com/fireeye/capa-rules/issues?q=is%3Aissue+is%3Aopen+label%3A%22rule+idea%22) - issues that describe potential new rule ideas.
|
||||
|
||||
Both issue lists are sorted by total number of comments. While not perfect, number of comments is a reasonable proxy for impact a given change will have.
|
||||
|
||||
#### Local development
|
||||
|
||||
capa and all its resources can be developed locally.
|
||||
For instructions on how to do this, see the "Method 3" section of the [installation guide](https://github.com/fireeye/capa/blob/master/doc/installation.md).
|
||||
|
||||
### Pull Requests
|
||||
|
||||
The process described here has several goals:
|
||||
|
||||
- Maintain capa's quality
|
||||
- Fix problems that are important to users
|
||||
- Engage the community in working toward the best possible capa
|
||||
- Enable a sustainable system for capa's maintainers to review contributions
|
||||
|
||||
Please follow these steps to have your contribution considered by the maintainers:
|
||||
|
||||
1. Follow all instructions in [the template](PULL_REQUEST_TEMPLATE.md)
|
||||
2. Follow the [styleguides](#styleguides)
|
||||
3. After you submit your pull request, verify that all [status checks](https://help.github.com/articles/about-status-checks/) are passing <details><summary>What if the status checks are failing? </summary>If a status check is failing, and you believe that the failure is unrelated to your change, please leave a comment on the pull request explaining why you believe the failure is unrelated. A maintainer will re-run the status check for you. If we conclude that the failure was a false positive, then we will open an issue to track that problem with our status check suite.</details>
|
||||
|
||||
While the prerequisites above must be satisfied prior to having your pull request reviewed, the reviewer(s) may ask you to complete additional design work, tests, or other changes before your pull request can be ultimately accepted.
|
||||
|
||||
## Styleguides
|
||||
|
||||
### Git Commit Messages
|
||||
|
||||
* Use the present tense ("Add feature" not "Added feature")
|
||||
* Use the imperative mood ("Move cursor to..." not "Moves cursor to...")
|
||||
* Prefix the first line with the component in question ("rules: ..." or "render: ...")
|
||||
* Reference issues and pull requests liberally after the first line
|
||||
|
||||
### Python Styleguide
|
||||
|
||||
All Python code must adhere to the style guide used by capa:
|
||||
|
||||
1. [PEP8](https://www.python.org/dev/peps/pep-0008/), with clarifications from
|
||||
2. [Willi's style guide](https://docs.google.com/document/d/1iRpeg-w4DtibwytUyC_dDT7IGhNGBP25-nQfuBa-Fyk/edit?usp=sharing), formatted with
|
||||
3. [isort](https://pypi.org/project/isort/) (with line width 120 and ordered by line length), and formatted with
|
||||
4. [black](https://github.com/psf/black) (with line width 120), and formatted with
|
||||
5. [dos2unix](https://linux.die.net/man/1/dos2unix)
|
||||
|
||||
Our CI pipeline will reformat and enforce the Python styleguide.
|
||||
|
||||
### Rules Styleguide
|
||||
|
||||
All (non-nursery) capa rules must:
|
||||
|
||||
1. pass the [linter](https://github.com/fireeye/capa/blob/master/scripts/lint.py), and
|
||||
2. be formatted with [capafmt](https://github.com/fireeye/capa/blob/master/scripts/capafmt.py)
|
||||
|
||||
This ensures that all rules meet the same minimum level of quality and are structured in a consistent way.
|
||||
Our CI pipeline will reformat and enforce the capa rules styleguide.
|
||||
# Contributing to Capa
|
||||
|
||||
First off, thanks for taking the time to contribute!
|
||||
|
||||
The following is a set of guidelines for contributing to capa and its packages, which are hosted in the [Mandiant Organization](https://github.com/mandiant) on GitHub. These are mostly guidelines, not rules. Use your best judgment, and feel free to propose changes to this document in a pull request.
|
||||
|
||||
#### Table Of Contents
|
||||
|
||||
[Code of Conduct](#code-of-conduct)
|
||||
|
||||
[What should I know before I get started?](#what-should-i-know-before-i-get-started)
|
||||
* [Capa and its Repositories](#capa-and-its-repositories)
|
||||
* [Capa Design Decisions](#design-decisions)
|
||||
|
||||
[How Can I Contribute?](#how-can-i-contribute)
|
||||
* [Reporting Bugs](#reporting-bugs)
|
||||
* [Suggesting Enhancements](#suggesting-enhancements)
|
||||
* [Your First Code Contribution](#your-first-code-contribution)
|
||||
* [Pull Requests](#pull-requests)
|
||||
|
||||
[Styleguides](#styleguides)
|
||||
* [Git Commit Messages](#git-commit-messages)
|
||||
* [Python Styleguide](#python-styleguide)
|
||||
* [Rules Styleguide](#rules-styleguide)
|
||||
|
||||
## Code of Conduct
|
||||
|
||||
This project and everyone participating in it is governed by the [Capa Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to the maintainers.
|
||||
|
||||
## What should I know before I get started?
|
||||
|
||||
### Capa and its repositories
|
||||
|
||||
We host the capa project as three GitHub repositories:
|
||||
- [capa](https://github.com/mandiant/capa)
|
||||
- [capa-rules](https://github.com/mandiant/capa-rules)
|
||||
- [capa-testfiles](https://github.com/mandiant/capa-testfiles)
|
||||
|
||||
The command line tools, logic engine, and other Python source code are found in the `capa` repository.
|
||||
This is the repository to fork when you want to enhance the features, performance, or user interface of capa.
|
||||
Do *not* push rules directly to this repository, instead...
|
||||
|
||||
The standard rules contributed by the community are found in the `capa-rules` repository.
|
||||
When you have an idea for a new rule, you should open a PR against `capa-rules`.
|
||||
We keep `capa` and `capa-rules` separate to distinguish where ideas, bugs, and discussions should happen.
|
||||
If you're writing yaml it probably goes in `capa-rules` and if you're writing Python it probably goes in `capa`.
|
||||
Also, we encourage users to develop their own rule repositories, so we treat our default set of rules in the same way.
|
||||
|
||||
Test fixtures, such as malware samples and analysis workspaces, are found in the `capa-testfiles` repository.
|
||||
These are files you'll need in order to run the linter (in `--thorough` mode) and full test suites;
|
||||
however, they take up a lot of space (1GB+), so by keeping `capa-testfiles` separate,
|
||||
a shallow checkout of `capa` and `capa-rules` doesn't take much bandwidth.
|
||||
|
||||
### Design Decisions
|
||||
|
||||
When we make a significant decision in how we maintain the project and what we can or cannot support,
|
||||
we will document it in the [capa issues tracker](https://github.com/mandiant/capa/issues).
|
||||
This is the best place review our discussions about what/how/why we do things in the project.
|
||||
If you have a question, check to see if it is documented there.
|
||||
If it is *not* documented there, or you can't find an answer, please open a issue.
|
||||
We'll link to existing issues when appropriate to keep discussions in one place.
|
||||
|
||||
## How Can I Contribute?
|
||||
|
||||
### Reporting Bugs
|
||||
|
||||
This section guides you through submitting a bug report for capa.
|
||||
Following these guidelines helps maintainers and the community understand your report, reproduce the behavior, and find related reports.
|
||||
|
||||
Before creating bug reports, please check [this list](#before-submitting-a-bug-report)
|
||||
as you might find out that you don't need to create one.
|
||||
When you are creating a bug report, please [include as many details as possible](#how-do-i-submit-a-good-bug-report).
|
||||
Fill out [the required template](./ISSUE_TEMPLATE/bug_report.md),
|
||||
the information it asks for helps us resolve issues faster.
|
||||
|
||||
> **Note:** If you find a **Closed** issue that seems like it is the same thing that you're experiencing, open a new issue and include a link to the original issue in the body of your new one.
|
||||
|
||||
#### Before Submitting A Bug Report
|
||||
|
||||
* **Determine [which repository the problem should be reported in](#capa-and-its-repositories)**.
|
||||
* **Perform a [cursory search](https://github.com/mandiant/capa/issues?q=is%3Aissue)** to see if the problem has already been reported. If it has **and the issue is still open**, add a comment to the existing issue instead of opening a new one.
|
||||
|
||||
#### How Do I Submit A (Good) Bug Report?
|
||||
|
||||
Bugs are tracked as [GitHub issues](https://guides.github.com/features/issues/).
|
||||
After you've determined [which repository](#capa-and-its-repositories) your bug is related to,
|
||||
create an issue on that repository and provide the following information by filling in
|
||||
[the template](./ISSUE_TEMPLATE/bug_report.md).
|
||||
|
||||
Explain the problem and include additional details to help maintainers reproduce the problem:
|
||||
|
||||
* **Use a clear and descriptive title** for the issue to identify the problem.
|
||||
* **Describe the exact steps which reproduce the problem** in as many details as possible. For example, start by explaining how you started capa, e.g. which command exactly you used in the terminal, or how you started capa otherwise.
|
||||
* **Provide specific examples to demonstrate the steps**. Include links to files or GitHub projects, or copy/pasteable snippets, which you use in those examples. If you're providing snippets in the issue, use [Markdown code blocks](https://help.github.com/articles/markdown-basics/#multiple-lines).
|
||||
* **Describe the behavior you observed after following the steps** and point out what exactly is the problem with that behavior.
|
||||
* **Explain which behavior you expected to see instead and why.**
|
||||
* **Include screenshots and animated GIFs** which show you following the described steps and clearly demonstrate the problem. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux.
|
||||
* **If you're reporting that capa crashed**, include the stack trace from the terminal. Include the stack trace in the issue in a [code block](https://help.github.com/articles/markdown-basics/#multiple-lines), a [file attachment](https://help.github.com/articles/file-attachments-on-issues-and-pull-requests/), or put it in a [gist](https://gist.github.com/) and provide link to that gist.
|
||||
* **If the problem wasn't triggered by a specific action**, describe what you were doing before the problem happened and share more information using the guidelines below.
|
||||
|
||||
Provide more context by answering these questions:
|
||||
|
||||
* **Did the problem start happening recently** (e.g. after updating to a new version of capa) or was this always a problem?
|
||||
* If the problem started happening recently, **can you reproduce the problem in an older version of capa?** What's the most recent version in which the problem doesn't happen? You can download older versions of capa from [the releases page](https://github.com/mandiant/capa/releases).
|
||||
* **Can you reliably reproduce the issue?** If not, provide details about how often the problem happens and under which conditions it normally happens.
|
||||
* If the problem is related to working with files (e.g. opening and editing files), **does the problem happen for all files and projects or only some?** Does the problem happen only when working with local or remote files (e.g. on network drives), with files of a specific type (e.g. only JavaScript or Python files), with large files or files with very long lines, or with files in a specific encoding? Is there anything else special about the files you are using?
|
||||
|
||||
Include details about your configuration and environment:
|
||||
|
||||
* **Which version of capa are you using?** You can get the exact version by running `capa --version` in your terminal.
|
||||
* **What's the name and version of the OS you're using**?
|
||||
|
||||
### Suggesting Enhancements
|
||||
|
||||
This section guides you through submitting an enhancement suggestion for capa, including completely new features and minor improvements to existing functionality. Following these guidelines helps maintainers and the community understand your suggestion and find related suggestions.
|
||||
|
||||
Before creating enhancement suggestions, please check [this list](#before-submitting-an-enhancement-suggestion) as you might find out that you don't need to create one. When you are creating an enhancement suggestion, please [include as many details as possible](#how-do-i-submit-a-good-enhancement-suggestion). Fill in [the template](./ISSUE_TEMPLATE/feature_request.md), including the steps that you imagine you would take if the feature you're requesting existed.
|
||||
|
||||
#### Before Submitting An Enhancement Suggestion
|
||||
|
||||
* **Determine [which repository the enhancement should be suggested in](#capa-and-its-repositories).**
|
||||
* **Perform a [cursory search](https://github.com/mandiant/capa/issues?q=is%3Aissue)** to see if the enhancement has already been suggested. If it has, add a comment to the existing issue instead of opening a new one.
|
||||
|
||||
#### How Do I Submit A (Good) Enhancement Suggestion?
|
||||
|
||||
Enhancement suggestions are tracked as [GitHub issues](https://guides.github.com/features/issues/). After you've determined [which repository](#capa-and-its-repositories) your enhancement suggestion is related to, create an issue on that repository and provide the following information:
|
||||
|
||||
* **Use a clear and descriptive title** for the issue to identify the suggestion.
|
||||
* **Provide a step-by-step description of the suggested enhancement** in as many details as possible.
|
||||
* **Provide specific examples to demonstrate the steps**. Include copy/pasteable snippets which you use in those examples, as [Markdown code blocks](https://help.github.com/articles/markdown-basics/#multiple-lines).
|
||||
* **Describe the current behavior** and **explain which behavior you expected to see instead** and why.
|
||||
* **Include screenshots and animated GIFs** which help you demonstrate the steps or point out the part of capa which the suggestion is related to. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux.
|
||||
* **Explain why this enhancement would be useful** to most capa users and isn't something that can or should be implemented as an external tool that uses capa as a library.
|
||||
* **Specify which version of capa you're using.** You can get the exact version by running `capa --version` in your terminal.
|
||||
* **Specify the name and version of the OS you're using.**
|
||||
|
||||
### Your First Code Contribution
|
||||
|
||||
Unsure where to begin contributing to capa? You can start by looking through these `good-first-issue` and `rule-idea` issues:
|
||||
|
||||
* [good-first-issue](https://github.com/mandiant/capa/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) - issues which should only require a few lines of code, and a test or two.
|
||||
* [rule-idea](https://github.com/mandiant/capa-rules/issues?q=is%3Aissue+is%3Aopen+label%3A%22rule+idea%22) - issues that describe potential new rule ideas.
|
||||
|
||||
Both issue lists are sorted by total number of comments. While not perfect, number of comments is a reasonable proxy for impact a given change will have.
|
||||
|
||||
#### Local development
|
||||
|
||||
capa and all its resources can be developed locally.
|
||||
For instructions on how to do this, see the "Method 3" section of the [installation guide](https://github.com/mandiant/capa/blob/master/doc/installation.md).
|
||||
|
||||
### Pull Requests
|
||||
|
||||
The process described here has several goals:
|
||||
|
||||
- Maintain capa's quality
|
||||
- Fix problems that are important to users
|
||||
- Engage the community in working toward the best possible capa
|
||||
- Enable a sustainable system for capa's maintainers to review contributions
|
||||
|
||||
Please follow these steps to have your contribution considered by the maintainers:
|
||||
|
||||
1. Follow the [styleguides](#styleguides)
|
||||
2. Update the CHANGELOG and add tests and documentation. In case they are not needed, indicate it in [the PR template](pull_request_template.md).
|
||||
3. After you submit your pull request, verify that all [status checks](https://help.github.com/articles/about-status-checks/) are passing <details><summary>What if the status checks are failing? </summary>If a status check is failing, and you believe that the failure is unrelated to your change, please leave a comment on the pull request explaining why you believe the failure is unrelated. A maintainer will re-run the status check for you. If we conclude that the failure was a false positive, then we will open an issue to track that problem with our status check suite.</details>
|
||||
|
||||
While the prerequisites above must be satisfied prior to having your pull request reviewed, the reviewer(s) may ask you to complete additional design work, tests, or other changes before your pull request can be ultimately accepted.
|
||||
|
||||
## Styleguides
|
||||
|
||||
### Git Commit Messages
|
||||
|
||||
* Use the present tense ("Add feature" not "Added feature")
|
||||
* Use the imperative mood ("Move cursor to..." not "Moves cursor to...")
|
||||
* Prefix the first line with the component in question ("rules: ..." or "render: ...")
|
||||
* Reference issues and pull requests liberally after the first line
|
||||
|
||||
### Python Styleguide
|
||||
|
||||
All Python code must adhere to the style guide used by capa:
|
||||
|
||||
1. [PEP8](https://www.python.org/dev/peps/pep-0008/), with clarifications from
|
||||
2. [Willi's style guide](https://docs.google.com/document/d/1iRpeg-w4DtibwytUyC_dDT7IGhNGBP25-nQfuBa-Fyk/edit?usp=sharing), formatted with
|
||||
3. [isort](https://pypi.org/project/isort/) (with line width 120 and ordered by line length), and formatted with
|
||||
4. [black](https://github.com/psf/black) (with line width 120), and formatted with
|
||||
5. [dos2unix](https://linux.die.net/man/1/dos2unix)
|
||||
|
||||
Our CI pipeline will reformat and enforce the Python styleguide.
|
||||
|
||||
### Rules Styleguide
|
||||
|
||||
All (non-nursery) capa rules must:
|
||||
|
||||
1. pass the [linter](https://github.com/mandiant/capa/blob/master/scripts/lint.py), and
|
||||
2. be formatted with [capafmt](https://github.com/mandiant/capa/blob/master/scripts/capafmt.py)
|
||||
|
||||
This ensures that all rules meet the same minimum level of quality and are structured in a consistent way.
|
||||
Our CI pipeline will reformat and enforce the capa rules styleguide.
|
||||
|
||||
94
.github/ISSUE_TEMPLATE/bug_report.md
vendored
94
.github/ISSUE_TEMPLATE/bug_report.md
vendored
@@ -1,47 +1,47 @@
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
|
||||
---
|
||||
<!--
|
||||
# Is your bug report related to capa rules (for example a false positive)?
|
||||
We use sybmodules to separate code, rules and test data. If your issue is related to capa rules, please report it at https://github.com/fireeye/capa-rules/issues.
|
||||
|
||||
# Have you checked that your issue isn't already filed?
|
||||
Please search if there is a similar issue at https://github.com/fireeye/capa/issues. If there is already a similar issue, please add more details there instead of opening a new one.
|
||||
|
||||
# Have you read capa's Code of Conduct?
|
||||
By filing an Issue, you are expected to comply with it, including treating everyone with respect: https://github.com/fireeye/capa/blob/master/.github/CODE_OF_CONDUCT.md
|
||||
|
||||
# Have you read capa's CONTRIBUTING guide?
|
||||
It contains helpful information about how to contribute to capa. Check https://github.com/fireeye/capa/blob/master/.github/CONTRIBUTING.md#reporting-bugs
|
||||
-->
|
||||
|
||||
### Description
|
||||
|
||||
<!-- Description of the issue -->
|
||||
|
||||
### Steps to Reproduce
|
||||
|
||||
<!-- 1. First Step -->
|
||||
<!-- 2. Second Step -->
|
||||
<!-- 3. and so on… -->
|
||||
|
||||
**Expected behavior:**
|
||||
|
||||
<!-- What you expect to happen -->
|
||||
|
||||
**Actual behavior:**
|
||||
|
||||
<!-- What actually happens -->
|
||||
|
||||
### Versions
|
||||
|
||||
<!-- You can get this information from copy and pasting the output of `capa --version` from the command line.
|
||||
Please specify the component you're using (e.g. standalone tool or IDA Pro integration) and your Python version.
|
||||
Also, please include the OS and what version of the OS you're running. -->
|
||||
|
||||
### Additional Information
|
||||
|
||||
<!-- Any additional information, configuration or data that might be necessary to reproduce the issue. -->
|
||||
|
||||
---
|
||||
name: Bug report
|
||||
about: Create a report to help us improve
|
||||
|
||||
---
|
||||
<!--
|
||||
# Is your bug report related to capa rules (for example a false positive)?
|
||||
We use submodules to separate code, rules and test data. If your issue is related to capa rules, please report it at https://github.com/mandiant/capa-rules/issues.
|
||||
|
||||
# Have you checked that your issue isn't already filed?
|
||||
Please search if there is a similar issue at https://github.com/mandiant/capa/issues. If there is already a similar issue, please add more details there instead of opening a new one.
|
||||
|
||||
# Have you read capa's Code of Conduct?
|
||||
By filing an Issue, you are expected to comply with it, including treating everyone with respect: https://github.com/mandiant/capa/blob/master/.github/CODE_OF_CONDUCT.md
|
||||
|
||||
# Have you read capa's CONTRIBUTING guide?
|
||||
It contains helpful information about how to contribute to capa. Check https://github.com/mandiant/capa/blob/master/.github/CONTRIBUTING.md#reporting-bugs
|
||||
-->
|
||||
|
||||
### Description
|
||||
|
||||
<!-- Description of the issue -->
|
||||
|
||||
### Steps to Reproduce
|
||||
|
||||
<!-- 1. First Step -->
|
||||
<!-- 2. Second Step -->
|
||||
<!-- 3. and so on… -->
|
||||
|
||||
**Expected behavior:**
|
||||
|
||||
<!-- What you expect to happen -->
|
||||
|
||||
**Actual behavior:**
|
||||
|
||||
<!-- What actually happens -->
|
||||
|
||||
### Versions
|
||||
|
||||
<!-- You can get this information from copy and pasting the output of `capa --version` from the command line.
|
||||
Please specify the component you're using (e.g. standalone tool or IDA Pro integration) and your Python version.
|
||||
Also, please include the OS and what version of the OS you're running. -->
|
||||
|
||||
### Additional Information
|
||||
|
||||
<!-- Any additional information, configuration or data that might be necessary to reproduce the issue. -->
|
||||
|
||||
|
||||
70
.github/ISSUE_TEMPLATE/feature_request.md
vendored
70
.github/ISSUE_TEMPLATE/feature_request.md
vendored
@@ -1,35 +1,35 @@
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for capa
|
||||
|
||||
---
|
||||
<!--
|
||||
# Is your issue related to capa rules (for example an idea for a new rule)?
|
||||
We use sybmodules to separate code, rules and test data. If your issue is related to capa rules, please report it at https://github.com/fireeye/capa-rules/issues.
|
||||
|
||||
# Have you checked that your issue isn't already filed?
|
||||
Please search if there is a similar issue at https://github.com/fireeye/capa/issues. If there is already a similar issue, please add more details there instead of opening a new one.
|
||||
|
||||
# Have you read capa's Code of Conduct?
|
||||
By filing an Issue, you are expected to comply with it, including treating everyone with respect: https://github.com/fireeye/capa/blob/master/.github/CODE_OF_CONDUCT.md
|
||||
|
||||
# Have you read capa's CONTRIBUTING guide?
|
||||
It contains helpful information about how to contribute to capa. Check https://github.com/fireeye/capa/blob/master/.github/CONTRIBUTING.md#suggesting-enhancements
|
||||
-->
|
||||
|
||||
### Summary
|
||||
|
||||
<!-- One paragraph explanation of the feature. -->
|
||||
|
||||
### Motivation
|
||||
|
||||
<!-- Why are we doing this? What use cases does it support? What is the expected outcome? -->
|
||||
|
||||
### Describe alternatives you've considered
|
||||
|
||||
<!-- A clear and concise description of the alternative solutions you've considered. -->
|
||||
|
||||
## Additional context
|
||||
|
||||
<!-- Add any other context or screenshots about the feature request here. -->
|
||||
|
||||
---
|
||||
name: Feature request
|
||||
about: Suggest an idea for capa
|
||||
|
||||
---
|
||||
<!--
|
||||
# Is your issue related to capa rules (for example an idea for a new rule)?
|
||||
We use submodules to separate code, rules and test data. If your issue is related to capa rules, please report it at https://github.com/mandiant/capa-rules/issues.
|
||||
|
||||
# Have you checked that your issue isn't already filed?
|
||||
Please search if there is a similar issue at https://github.com/mandiant/capa/issues. If there is already a similar issue, please add more details there instead of opening a new one.
|
||||
|
||||
# Have you read capa's Code of Conduct?
|
||||
By filing an Issue, you are expected to comply with it, including treating everyone with respect: https://github.com/mandiant/capa/blob/master/.github/CODE_OF_CONDUCT.md
|
||||
|
||||
# Have you read capa's CONTRIBUTING guide?
|
||||
It contains helpful information about how to contribute to capa. Check https://github.com/mandiant/capa/blob/master/.github/CONTRIBUTING.md#suggesting-enhancements
|
||||
-->
|
||||
|
||||
### Summary
|
||||
|
||||
<!-- One paragraph explanation of the feature. -->
|
||||
|
||||
### Motivation
|
||||
|
||||
<!-- Why are we doing this? What use cases does it support? What is the expected outcome? -->
|
||||
|
||||
### Describe alternatives you've considered
|
||||
|
||||
<!-- A clear and concise description of the alternative solutions you've considered. -->
|
||||
|
||||
## Additional context
|
||||
|
||||
<!-- Add any other context or screenshots about the feature request here. -->
|
||||
|
||||
|
||||
BIN
.github/capa-explorer-logo.png
vendored
Normal file
BIN
.github/capa-explorer-logo.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 37 KiB |
BIN
.github/capa-ida.jpg
vendored
BIN
.github/capa-ida.jpg
vendored
Binary file not shown.
|
Before Width: | Height: | Size: 453 KiB |
6
.github/dependabot.yml
vendored
Normal file
6
.github/dependabot.yml
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
version: 2
|
||||
updates:
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
85
.github/mypy/mypy.ini
vendored
Normal file
85
.github/mypy/mypy.ini
vendored
Normal file
@@ -0,0 +1,85 @@
|
||||
[mypy]
|
||||
|
||||
[mypy-halo.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-tqdm.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ruamel.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-networkx.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-pefile.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-viv_utils.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-flirt.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-lief.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-idc.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-vivisect.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-envi.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-PE.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-idaapi.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-idautils.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_bytes.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_nalt.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_kernwin.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_settings.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_funcs.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_loader.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-ida_segment.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-PyQt5.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-binaryninja.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-pytest.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-devtools.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-elftools.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-dncil.*]
|
||||
ignore_missing_imports = True
|
||||
|
||||
[mypy-netnode.*]
|
||||
ignore_missing_imports = True
|
||||
22
.github/pull_request_template.md
vendored
Normal file
22
.github/pull_request_template.md
vendored
Normal file
@@ -0,0 +1,22 @@
|
||||
|
||||
<!--
|
||||
Thank you for contributing to capa! <3
|
||||
|
||||
Please read capa's CONTRIBUTING guide if you haven't done so already.
|
||||
It contains helpful information about how to contribute to capa. Check https://github.com/mandiant/capa/blob/master/.github/CONTRIBUTING.md
|
||||
|
||||
Please describe the changes in this pull request (PR). Include your motivation and context to help us review.
|
||||
|
||||
Please mention the issue your PR addresses (if any):
|
||||
closes #issue_number
|
||||
-->
|
||||
|
||||
|
||||
### Checklist
|
||||
|
||||
<!-- CHANGELOG.md has a `master (unreleased)` section. Please add bug fixes, new features, breaking changes and anything else you think is worthwhile mentioning in the release notes to this file. -->
|
||||
- [ ] No CHANGELOG update needed
|
||||
<!-- Tests prove that your fix/work as expected and ensure it doesn't break on the feature. -->
|
||||
- [ ] No new tests needed
|
||||
<!-- Please help us keeping capa documentation up-to-date -->
|
||||
- [ ] No documentation update needed
|
||||
143
.github/pyinstaller/hooks/hook-vivisect.py
vendored
143
.github/pyinstaller/hooks/hook-vivisect.py
vendored
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
|
||||
from PyInstaller.utils.hooks import copy_metadata
|
||||
|
||||
@@ -13,3 +13,144 @@ from PyInstaller.utils.hooks import copy_metadata
|
||||
#
|
||||
# ref: https://github.com/pyinstaller/pyinstaller/issues/1713#issuecomment-162682084
|
||||
datas = copy_metadata("vivisect")
|
||||
|
||||
excludedimports = [
|
||||
# viv gui requires these heavy libraries,
|
||||
# but viv as a library doesn't.
|
||||
# they shouldn't be installed in our configuration,
|
||||
# but we'll ensure they don't slip in here (such as on developers' systems).
|
||||
"PyQt5",
|
||||
"qt5",
|
||||
"pyqtwebengine",
|
||||
# the above are imported by these viv modules.
|
||||
# so really, we'd want to exclude these submodules of viv.
|
||||
# but i dont think this works.
|
||||
"vqt",
|
||||
"vdb.qt",
|
||||
"envi.qt",
|
||||
# unused by capa
|
||||
"pyasn1",
|
||||
]
|
||||
|
||||
hiddenimports = [
|
||||
# vivisect does manual/runtime importing of its modules,
|
||||
# so declare the things that could be imported here.
|
||||
"vivisect",
|
||||
"vivisect.analysis",
|
||||
"vivisect.analysis.amd64",
|
||||
"vivisect.analysis.amd64",
|
||||
"vivisect.analysis.amd64.emulation",
|
||||
"vivisect.analysis.amd64.golang",
|
||||
"vivisect.analysis.crypto",
|
||||
"vivisect.analysis.crypto",
|
||||
"vivisect.analysis.crypto.constants",
|
||||
"vivisect.analysis.elf",
|
||||
"vivisect.analysis.elf.elfplt",
|
||||
"vivisect.analysis.elf.elfplt_late",
|
||||
"vivisect.analysis.elf.libc_start_main",
|
||||
"vivisect.analysis.generic",
|
||||
"vivisect.analysis.generic",
|
||||
"vivisect.analysis.generic.codeblocks",
|
||||
"vivisect.analysis.generic.emucode",
|
||||
"vivisect.analysis.generic.entrypoints",
|
||||
"vivisect.analysis.generic.funcentries",
|
||||
"vivisect.analysis.generic.impapi",
|
||||
"vivisect.analysis.generic.mkpointers",
|
||||
"vivisect.analysis.generic.pointers",
|
||||
"vivisect.analysis.generic.pointertables",
|
||||
"vivisect.analysis.generic.relocations",
|
||||
"vivisect.analysis.generic.strconst",
|
||||
"vivisect.analysis.generic.switchcase",
|
||||
"vivisect.analysis.generic.thunks",
|
||||
"vivisect.analysis.generic.noret",
|
||||
"vivisect.analysis.i386",
|
||||
"vivisect.analysis.i386",
|
||||
"vivisect.analysis.i386.calling",
|
||||
"vivisect.analysis.i386.golang",
|
||||
"vivisect.analysis.i386.importcalls",
|
||||
"vivisect.analysis.i386.instrhook",
|
||||
"vivisect.analysis.i386.thunk_bx",
|
||||
"vivisect.analysis.ms",
|
||||
"vivisect.analysis.ms",
|
||||
"vivisect.analysis.ms.hotpatch",
|
||||
"vivisect.analysis.ms.localhints",
|
||||
"vivisect.analysis.ms.msvc",
|
||||
"vivisect.analysis.ms.msvcfunc",
|
||||
"vivisect.analysis.ms.vftables",
|
||||
"vivisect.analysis.pe",
|
||||
"vivisect.impapi.posix.amd64",
|
||||
"vivisect.impapi.posix.i386",
|
||||
"vivisect.impapi.windows",
|
||||
"vivisect.impapi.windows.amd64",
|
||||
"vivisect.impapi.windows.i386",
|
||||
"vivisect.impapi.winkern.i386",
|
||||
"vivisect.impapi.winkern.amd64",
|
||||
"vivisect.parsers.blob",
|
||||
"vivisect.parsers.elf",
|
||||
"vivisect.parsers.ihex",
|
||||
"vivisect.parsers.macho",
|
||||
"vivisect.parsers.pe",
|
||||
"vivisect.storage",
|
||||
"vivisect.storage.basicfile",
|
||||
"vstruct.constants",
|
||||
"vstruct.constants.ntstatus",
|
||||
"vstruct.defs",
|
||||
"vstruct.defs.arm7",
|
||||
"vstruct.defs.bmp",
|
||||
"vstruct.defs.dns",
|
||||
"vstruct.defs.elf",
|
||||
"vstruct.defs.gif",
|
||||
"vstruct.defs.ihex",
|
||||
"vstruct.defs.inet",
|
||||
"vstruct.defs.java",
|
||||
"vstruct.defs.kdcom",
|
||||
"vstruct.defs.macho",
|
||||
"vstruct.defs.macho.const",
|
||||
"vstruct.defs.macho.fat",
|
||||
"vstruct.defs.macho.loader",
|
||||
"vstruct.defs.macho.stabs",
|
||||
"vstruct.defs.minidump",
|
||||
"vstruct.defs.pcap",
|
||||
"vstruct.defs.pe",
|
||||
"vstruct.defs.pptp",
|
||||
"vstruct.defs.rar",
|
||||
"vstruct.defs.swf",
|
||||
"vstruct.defs.win32",
|
||||
"vstruct.defs.windows",
|
||||
"vstruct.defs.windows.win_5_1_i386",
|
||||
"vstruct.defs.windows.win_5_1_i386.ntdll",
|
||||
"vstruct.defs.windows.win_5_1_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_5_1_i386.win32k",
|
||||
"vstruct.defs.windows.win_5_2_i386",
|
||||
"vstruct.defs.windows.win_5_2_i386.ntdll",
|
||||
"vstruct.defs.windows.win_5_2_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_5_2_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_1_amd64",
|
||||
"vstruct.defs.windows.win_6_1_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_1_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_1_amd64.win32k",
|
||||
"vstruct.defs.windows.win_6_1_i386",
|
||||
"vstruct.defs.windows.win_6_1_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_1_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_1_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_1_wow64",
|
||||
"vstruct.defs.windows.win_6_1_wow64.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_amd64",
|
||||
"vstruct.defs.windows.win_6_2_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_2_amd64.win32k",
|
||||
"vstruct.defs.windows.win_6_2_i386",
|
||||
"vstruct.defs.windows.win_6_2_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_2_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_2_wow64",
|
||||
"vstruct.defs.windows.win_6_2_wow64.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_amd64",
|
||||
"vstruct.defs.windows.win_6_3_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_3_i386",
|
||||
"vstruct.defs.windows.win_6_3_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_3_wow64",
|
||||
"vstruct.defs.windows.win_6_3_wow64.ntdll",
|
||||
]
|
||||
|
||||
206
.github/pyinstaller/pyinstaller.spec
vendored
206
.github/pyinstaller/pyinstaller.spec
vendored
@@ -1,176 +1,40 @@
|
||||
# -*- mode: python -*-
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
import os.path
|
||||
import subprocess
|
||||
|
||||
import wcwidth
|
||||
|
||||
|
||||
# when invoking pyinstaller from the project root,
|
||||
# this gets run from the project root.
|
||||
with open('./capa/version.py', 'wb') as f:
|
||||
# git output will look like:
|
||||
#
|
||||
# tags/v1.0.0-0-g3af38dc
|
||||
# ------- tag
|
||||
# - commits since
|
||||
# g------- git hash fragment
|
||||
version = (subprocess.check_output(["git", "describe", "--always", "--tags", "--long"])
|
||||
.strip()
|
||||
.replace("tags/", ""))
|
||||
f.write("__version__ = '%s'" % version)
|
||||
|
||||
a = Analysis(
|
||||
# when invoking pyinstaller from the project root,
|
||||
# this gets invoked from the directory of the spec file,
|
||||
# i.e. ./.github/pyinstaller
|
||||
['../../capa/main.py'],
|
||||
pathex=['capa'],
|
||||
["../../capa/main.py"],
|
||||
pathex=["capa"],
|
||||
binaries=None,
|
||||
datas=[
|
||||
# when invoking pyinstaller from the project root,
|
||||
# this gets invoked from the directory of the spec file,
|
||||
# i.e. ./.github/pyinstaller
|
||||
('../../rules', 'rules'),
|
||||
|
||||
("../../rules", "rules"),
|
||||
("../../sigs", "sigs"),
|
||||
("../../cache", "cache"),
|
||||
# capa.render.default uses tabulate that depends on wcwidth.
|
||||
# it seems wcwidth uses a json file `version.json`
|
||||
# and this doesn't get picked up by pyinstaller automatically.
|
||||
# so we manually embed the wcwidth resources here.
|
||||
#
|
||||
# ref: https://stackoverflow.com/a/62278462/87207
|
||||
(os.path.dirname(wcwidth.__file__), 'wcwidth')
|
||||
],
|
||||
hiddenimports=[
|
||||
# vivisect does manual/runtime importing of its modules,
|
||||
# so declare the things that could be imported here.
|
||||
"vivisect",
|
||||
"vivisect.analysis",
|
||||
"vivisect.analysis.amd64",
|
||||
"vivisect.analysis.amd64",
|
||||
"vivisect.analysis.amd64.emulation",
|
||||
"vivisect.analysis.amd64.golang",
|
||||
"vivisect.analysis.crypto",
|
||||
"vivisect.analysis.crypto",
|
||||
"vivisect.analysis.crypto.constants",
|
||||
"vivisect.analysis.elf",
|
||||
"vivisect.analysis.elf",
|
||||
"vivisect.analysis.elf.elfplt",
|
||||
"vivisect.analysis.elf.libc_start_main",
|
||||
"vivisect.analysis.generic",
|
||||
"vivisect.analysis.generic",
|
||||
"vivisect.analysis.generic.codeblocks",
|
||||
"vivisect.analysis.generic.emucode",
|
||||
"vivisect.analysis.generic.entrypoints",
|
||||
"vivisect.analysis.generic.funcentries",
|
||||
"vivisect.analysis.generic.impapi",
|
||||
"vivisect.analysis.generic.mkpointers",
|
||||
"vivisect.analysis.generic.pointers",
|
||||
"vivisect.analysis.generic.pointertables",
|
||||
"vivisect.analysis.generic.relocations",
|
||||
"vivisect.analysis.generic.strconst",
|
||||
"vivisect.analysis.generic.switchcase",
|
||||
"vivisect.analysis.generic.thunks",
|
||||
"vivisect.analysis.i386",
|
||||
"vivisect.analysis.i386",
|
||||
"vivisect.analysis.i386.calling",
|
||||
"vivisect.analysis.i386.golang",
|
||||
"vivisect.analysis.i386.importcalls",
|
||||
"vivisect.analysis.i386.instrhook",
|
||||
"vivisect.analysis.i386.thunk_bx",
|
||||
"vivisect.analysis.ms",
|
||||
"vivisect.analysis.ms",
|
||||
"vivisect.analysis.ms.hotpatch",
|
||||
"vivisect.analysis.ms.localhints",
|
||||
"vivisect.analysis.ms.msvc",
|
||||
"vivisect.analysis.ms.msvcfunc",
|
||||
"vivisect.analysis.ms.vftables",
|
||||
"vivisect.analysis.pe",
|
||||
"vivisect.impapi.posix.amd64",
|
||||
"vivisect.impapi.posix.i386",
|
||||
"vivisect.impapi.windows",
|
||||
"vivisect.impapi.windows.amd64",
|
||||
"vivisect.impapi.windows.i386",
|
||||
"vivisect.impapi.winkern.i386",
|
||||
"vivisect.impapi.winkern.amd64",
|
||||
"vivisect.parsers.blob",
|
||||
"vivisect.parsers.elf",
|
||||
"vivisect.parsers.ihex",
|
||||
"vivisect.parsers.macho",
|
||||
"vivisect.parsers.pe",
|
||||
"vivisect.parsers.utils",
|
||||
"vivisect.storage",
|
||||
"vivisect.storage.basicfile",
|
||||
"vstruct.constants",
|
||||
"vstruct.constants.ntstatus",
|
||||
"vstruct.defs",
|
||||
"vstruct.defs.arm7",
|
||||
"vstruct.defs.bmp",
|
||||
"vstruct.defs.dns",
|
||||
"vstruct.defs.elf",
|
||||
"vstruct.defs.gif",
|
||||
"vstruct.defs.ihex",
|
||||
"vstruct.defs.inet",
|
||||
"vstruct.defs.java",
|
||||
"vstruct.defs.kdcom",
|
||||
"vstruct.defs.macho",
|
||||
"vstruct.defs.macho.const",
|
||||
"vstruct.defs.macho.fat",
|
||||
"vstruct.defs.macho.loader",
|
||||
"vstruct.defs.macho.stabs",
|
||||
"vstruct.defs.minidump",
|
||||
"vstruct.defs.pcap",
|
||||
"vstruct.defs.pe",
|
||||
"vstruct.defs.pptp",
|
||||
"vstruct.defs.rar",
|
||||
"vstruct.defs.swf",
|
||||
"vstruct.defs.win32",
|
||||
"vstruct.defs.windows",
|
||||
"vstruct.defs.windows.win_5_1_i386",
|
||||
"vstruct.defs.windows.win_5_1_i386.ntdll",
|
||||
"vstruct.defs.windows.win_5_1_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_5_1_i386.win32k",
|
||||
"vstruct.defs.windows.win_5_2_i386",
|
||||
"vstruct.defs.windows.win_5_2_i386.ntdll",
|
||||
"vstruct.defs.windows.win_5_2_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_5_2_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_1_amd64",
|
||||
"vstruct.defs.windows.win_6_1_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_1_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_1_amd64.win32k",
|
||||
"vstruct.defs.windows.win_6_1_i386",
|
||||
"vstruct.defs.windows.win_6_1_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_1_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_1_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_1_wow64",
|
||||
"vstruct.defs.windows.win_6_1_wow64.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_amd64",
|
||||
"vstruct.defs.windows.win_6_2_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_2_amd64.win32k",
|
||||
"vstruct.defs.windows.win_6_2_i386",
|
||||
"vstruct.defs.windows.win_6_2_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_2_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_2_i386.win32k",
|
||||
"vstruct.defs.windows.win_6_2_wow64",
|
||||
"vstruct.defs.windows.win_6_2_wow64.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_amd64",
|
||||
"vstruct.defs.windows.win_6_3_amd64.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_amd64.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_3_i386",
|
||||
"vstruct.defs.windows.win_6_3_i386.ntdll",
|
||||
"vstruct.defs.windows.win_6_3_i386.ntoskrnl",
|
||||
"vstruct.defs.windows.win_6_3_wow64",
|
||||
"vstruct.defs.windows.win_6_3_wow64.ntdll",
|
||||
(os.path.dirname(wcwidth.__file__), "wcwidth"),
|
||||
],
|
||||
# when invoking pyinstaller from the project root,
|
||||
# this gets run from the project root.
|
||||
hookspath=['.github/pyinstaller/hooks'],
|
||||
hookspath=[".github/pyinstaller/hooks"],
|
||||
runtime_hooks=None,
|
||||
excludes=[
|
||||
# ignore packages that would otherwise be bundled with the .exe.
|
||||
# review: build/pyinstaller/xref-pyinstaller.html
|
||||
|
||||
# we don't do any GUI stuff, so ignore these modules
|
||||
"tkinter",
|
||||
"_tkinter",
|
||||
@@ -180,35 +44,51 @@ a = Analysis(
|
||||
# since we don't spawn a notebook, we can safely remove these.
|
||||
"IPython",
|
||||
"ipywidgets",
|
||||
])
|
||||
# these are pulled in by networkx
|
||||
# but we don't need to compute the strongly connected components.
|
||||
"numpy",
|
||||
"scipy",
|
||||
"matplotlib",
|
||||
"pandas",
|
||||
"pytest",
|
||||
# deps from viv that we don't use.
|
||||
# this duplicates the entries in `hook-vivisect`,
|
||||
# but works better this way.
|
||||
"vqt",
|
||||
"vdb.qt",
|
||||
"envi.qt",
|
||||
"PyQt5",
|
||||
"qt5",
|
||||
"pyqtwebengine",
|
||||
"pyasn1",
|
||||
],
|
||||
)
|
||||
|
||||
a.binaries = a.binaries - TOC([
|
||||
('tcl85.dll', None, None),
|
||||
('tk85.dll', None, None),
|
||||
('_tkinter', None, None)])
|
||||
a.binaries = a.binaries - TOC([("tcl85.dll", None, None), ("tk85.dll", None, None), ("_tkinter", None, None)])
|
||||
|
||||
pyz = PYZ(a.pure, a.zipped_data)
|
||||
|
||||
exe = EXE(pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.zipfiles,
|
||||
a.datas,
|
||||
exclude_binaries=False,
|
||||
name='capa',
|
||||
icon='logo.ico',
|
||||
debug=False,
|
||||
strip=None,
|
||||
upx=True,
|
||||
console=True )
|
||||
exe = EXE(
|
||||
pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.zipfiles,
|
||||
a.datas,
|
||||
exclude_binaries=False,
|
||||
name="capa",
|
||||
icon="logo.ico",
|
||||
debug=False,
|
||||
strip=None,
|
||||
upx=True,
|
||||
console=True,
|
||||
)
|
||||
|
||||
# enable the following to debug the contents of the .exe
|
||||
#
|
||||
#coll = COLLECT(exe,
|
||||
# coll = COLLECT(exe,
|
||||
# a.binaries,
|
||||
# a.zipfiles,
|
||||
# a.datas,
|
||||
# strip=None,
|
||||
# upx=True,
|
||||
# name='capa-dat')
|
||||
|
||||
|
||||
196
.github/workflows/build.yml
vendored
196
.github/workflows/build.yml
vendored
@@ -1,77 +1,119 @@
|
||||
name: build
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [created, edited]
|
||||
|
||||
jobs:
|
||||
build:
|
||||
name: PyInstaller for ${{ matrix.os }}
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- os: ubuntu-16.04
|
||||
# use old linux so that the shared library versioning is more portable
|
||||
artifact_name: capa
|
||||
asset_name: linux
|
||||
- os: windows-latest
|
||||
artifact_name: capa.exe
|
||||
asset_name: windows
|
||||
- os: macos-latest
|
||||
artifact_name: capa
|
||||
asset_name: macos
|
||||
steps:
|
||||
- name: Checkout capa
|
||||
uses: actions/checkout@v2
|
||||
with:
|
||||
submodules: true
|
||||
- name: Set up Python 2.7
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: 2.7
|
||||
- name: Install PyInstaller
|
||||
# pyinstaller 4 doesn't support Python 2.7
|
||||
run: pip install 'pyinstaller==3.*'
|
||||
- name: Install capa
|
||||
run: pip install -e .
|
||||
- name: Build standalone executable
|
||||
run: pyinstaller .github/pyinstaller/pyinstaller.spec
|
||||
- name: Does it run?
|
||||
run: dist/capa "tests/data/Practical Malware Analysis Lab 01-01.dll_"
|
||||
- uses: actions/upload-artifact@v2
|
||||
with:
|
||||
name: ${{ matrix.asset_name }}
|
||||
path: dist/${{ matrix.artifact_name }}
|
||||
|
||||
zip:
|
||||
name: zip ${{ matrix.asset_name }}
|
||||
runs-on: ubuntu-latest
|
||||
needs: build
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- asset_name: linux
|
||||
artifact_name: capa
|
||||
- asset_name: windows
|
||||
artifact_name: capa.exe
|
||||
- asset_name: macos
|
||||
artifact_name: capa
|
||||
steps:
|
||||
- name: Download ${{ matrix.asset_name }}
|
||||
uses: actions/download-artifact@v2
|
||||
with:
|
||||
name: ${{ matrix.asset_name }}
|
||||
- name: Set executable flag
|
||||
run: chmod +x ${{ matrix.artifact_name }}
|
||||
- name: Set zip name
|
||||
run: echo ::set-env name=zip_name::capa-${GITHUB_REF#refs/tags/}-${{ matrix.asset_name }}.zip
|
||||
- name: Zip ${{ matrix.artifact_name }} into ${{ env.zip_name }}
|
||||
run: zip ${{ env.zip_name }} ${{ matrix.artifact_name }}
|
||||
- name: Upload ${{ env.zip_name }} to GH Release
|
||||
uses: svenstaro/upload-release-action@v2
|
||||
with:
|
||||
repo_token: ${{ secrets.GITHUB_TOKEN}}
|
||||
file: ${{ env.zip_name }}
|
||||
tag: ${{ github.ref }}
|
||||
|
||||
name: build
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
branches: [ master ]
|
||||
release:
|
||||
types: [edited, published]
|
||||
|
||||
jobs:
|
||||
build:
|
||||
name: PyInstaller for ${{ matrix.os }}
|
||||
runs-on: ${{ matrix.os }}
|
||||
strategy:
|
||||
# set to false for debugging
|
||||
fail-fast: true
|
||||
matrix:
|
||||
include:
|
||||
- os: ubuntu-18.04
|
||||
# use old linux so that the shared library versioning is more portable
|
||||
artifact_name: capa
|
||||
asset_name: linux
|
||||
- os: windows-2019
|
||||
artifact_name: capa.exe
|
||||
asset_name: windows
|
||||
- os: macos-11
|
||||
# use older macOS for assumed better portability
|
||||
artifact_name: capa
|
||||
asset_name: macos
|
||||
steps:
|
||||
- name: Checkout capa
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
with:
|
||||
submodules: true
|
||||
# using Python 3.8 to support running across multiple operating systems including Windows 7
|
||||
- name: Set up Python 3.8
|
||||
uses: actions/setup-python@d27e3f3d7c64b4bbf8e4abfb9b63b83e846e0435 # v4.5.0
|
||||
with:
|
||||
python-version: 3.8
|
||||
- if: matrix.os == 'ubuntu-18.04'
|
||||
run: sudo apt-get install -y libyaml-dev
|
||||
- name: Upgrade pip, setuptools
|
||||
run: python -m pip install --upgrade pip setuptools
|
||||
- name: Install capa with build requirements
|
||||
run: pip install -e .[build]
|
||||
- name: Cache the rule set
|
||||
run: python ./scripts/cache-ruleset.py ./rules/ ./cache/
|
||||
- name: Build standalone executable
|
||||
run: pyinstaller --log-level DEBUG .github/pyinstaller/pyinstaller.spec
|
||||
- name: Does it run (PE)?
|
||||
run: dist/capa "tests/data/Practical Malware Analysis Lab 01-01.dll_"
|
||||
- name: Does it run (Shellcode)?
|
||||
run: dist/capa "tests/data/499c2a85f6e8142c3f48d4251c9c7cd6.raw32"
|
||||
- name: Does it run (ELF)?
|
||||
run: dist/capa "tests/data/7351f8a40c5450557b24622417fc478d.elf_"
|
||||
- uses: actions/upload-artifact@0b7f8abb1508181956e8e162db84b466c27e18ce # v3.1.2
|
||||
with:
|
||||
name: ${{ matrix.asset_name }}
|
||||
path: dist/${{ matrix.artifact_name }}
|
||||
|
||||
test_run:
|
||||
name: Test run on ${{ matrix.os }}
|
||||
runs-on: ${{ matrix.os }}
|
||||
needs: [build]
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
# OSs not already tested above
|
||||
- os: ubuntu-18.04
|
||||
artifact_name: capa
|
||||
asset_name: linux
|
||||
- os: ubuntu-20.04
|
||||
artifact_name: capa
|
||||
asset_name: linux
|
||||
- os: windows-2022
|
||||
artifact_name: capa.exe
|
||||
asset_name: windows
|
||||
steps:
|
||||
- name: Download ${{ matrix.asset_name }}
|
||||
uses: actions/download-artifact@9bc31d5ccc31df68ecc42ccf4149144866c47d8a # v3.0.2
|
||||
with:
|
||||
name: ${{ matrix.asset_name }}
|
||||
- name: Set executable flag
|
||||
if: matrix.os != 'windows-2022'
|
||||
run: chmod +x ${{ matrix.artifact_name }}
|
||||
- name: Run capa
|
||||
run: ./${{ matrix.artifact_name }} -h
|
||||
|
||||
zip_and_upload:
|
||||
# upload zipped binaries to Release page
|
||||
if: github.event_name == 'release'
|
||||
name: zip and upload ${{ matrix.asset_name }}
|
||||
runs-on: ubuntu-20.04
|
||||
needs: [build]
|
||||
strategy:
|
||||
matrix:
|
||||
include:
|
||||
- asset_name: linux
|
||||
artifact_name: capa
|
||||
- asset_name: windows
|
||||
artifact_name: capa.exe
|
||||
- asset_name: macos
|
||||
artifact_name: capa
|
||||
steps:
|
||||
- name: Download ${{ matrix.asset_name }}
|
||||
uses: actions/download-artifact@9bc31d5ccc31df68ecc42ccf4149144866c47d8a # v3.0.2
|
||||
with:
|
||||
name: ${{ matrix.asset_name }}
|
||||
- name: Set executable flag
|
||||
run: chmod +x ${{ matrix.artifact_name }}
|
||||
- name: Set zip name
|
||||
run: echo "zip_name=capa-${GITHUB_REF#refs/tags/}-${{ matrix.asset_name }}.zip" >> $GITHUB_ENV
|
||||
- name: Zip ${{ matrix.artifact_name }} into ${{ env.zip_name }}
|
||||
run: zip ${{ env.zip_name }} ${{ matrix.artifact_name }}
|
||||
- name: Upload ${{ env.zip_name }} to GH Release
|
||||
uses: svenstaro/upload-release-action@2728235f7dc9ff598bd86ce3c274b74f802d2208 # v2
|
||||
with:
|
||||
repo_token: ${{ secrets.GITHUB_TOKEN}}
|
||||
file: ${{ env.zip_name }}
|
||||
tag: ${{ github.ref }}
|
||||
|
||||
41
.github/workflows/changelog.yml
vendored
Normal file
41
.github/workflows/changelog.yml
vendored
Normal file
@@ -0,0 +1,41 @@
|
||||
name: changelog
|
||||
|
||||
on:
|
||||
# We need pull_request_target instead of pull_request because a write
|
||||
# repository token is needed to add a review to a PR. DO NOT BUILD
|
||||
# OR RUN UNTRUSTED CODE FROM PRs IN THIS ACTION
|
||||
pull_request_target:
|
||||
types: [opened, edited, synchronize]
|
||||
|
||||
jobs:
|
||||
check_changelog:
|
||||
# no need to check for dependency updates via dependabot
|
||||
if: github.actor != 'dependabot[bot]' && github.actor != 'dependabot-preview[bot]'
|
||||
runs-on: ubuntu-20.04
|
||||
env:
|
||||
NO_CHANGELOG: '[x] No CHANGELOG update needed'
|
||||
steps:
|
||||
- name: Get changed files
|
||||
id: files
|
||||
uses: Ana06/get-changed-files@e0c398b7065a8d84700c471b6afc4116d1ba4e96 # v2.2.0
|
||||
- name: check changelog updated
|
||||
id: changelog_updated
|
||||
env:
|
||||
PR_BODY: ${{ github.event.pull_request.body }}
|
||||
FILES: ${{ steps.files.outputs.modified }}
|
||||
run: |
|
||||
echo $FILES | grep -qF 'CHANGELOG.md' || echo $PR_BODY | grep -qiF "$NO_CHANGELOG"
|
||||
- name: Reject pull request if no CHANGELOG update
|
||||
if: ${{ always() && steps.changelog_updated.outcome == 'failure' }}
|
||||
uses: Ana06/automatic-pull-request-review@0cf4e8a17ba79344ed3fdd7fed6dd0311d08a9d4 # v0.1.0
|
||||
with:
|
||||
repo-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
event: REQUEST_CHANGES
|
||||
body: "Please add bug fixes, new features, breaking changes and anything else you think is worthwhile mentioning to the `master (unreleased)` section of CHANGELOG.md. If no CHANGELOG update is needed add the following to the PR description: `${{ env.NO_CHANGELOG }}`"
|
||||
allow_duplicate: false
|
||||
- name: Dismiss previous review if CHANGELOG update
|
||||
uses: Ana06/automatic-pull-request-review@0cf4e8a17ba79344ed3fdd7fed6dd0311d08a9d4 # v0.1.0
|
||||
with:
|
||||
repo-token: ${{ secrets.GITHUB_TOKEN }}
|
||||
event: DISMISS
|
||||
body: "CHANGELOG updated or no update needed, thanks! :smile:"
|
||||
58
.github/workflows/publish.yml
vendored
58
.github/workflows/publish.yml
vendored
@@ -1,29 +1,29 @@
|
||||
# This workflows will upload a Python Package using Twine when a release is created
|
||||
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
|
||||
|
||||
name: publish to pypi
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v2
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v2
|
||||
with:
|
||||
python-version: '2.7'
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install setuptools wheel twine
|
||||
- name: Build and publish
|
||||
env:
|
||||
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
|
||||
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
|
||||
run: |
|
||||
python setup.py sdist bdist_wheel
|
||||
twine upload --skip-existing dist/*
|
||||
# This workflows will upload a Python Package using Twine when a release is created
|
||||
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
|
||||
|
||||
name: publish to pypi
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@d27e3f3d7c64b4bbf8e4abfb9b63b83e846e0435 # v4.5.0
|
||||
with:
|
||||
python-version: '3.7'
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install setuptools wheel twine
|
||||
- name: Build and publish
|
||||
env:
|
||||
TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
|
||||
TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
|
||||
run: |
|
||||
python setup.py sdist bdist_wheel
|
||||
twine upload --skip-existing dist/*
|
||||
|
||||
72
.github/workflows/scorecard.yml
vendored
Normal file
72
.github/workflows/scorecard.yml
vendored
Normal file
@@ -0,0 +1,72 @@
|
||||
# This workflow uses actions that are not certified by GitHub. They are provided
|
||||
# by a third-party and are governed by separate terms of service, privacy
|
||||
# policy, and support documentation.
|
||||
|
||||
name: Scorecard supply-chain security
|
||||
on:
|
||||
# For Branch-Protection check. Only the default branch is supported. See
|
||||
# https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection
|
||||
branch_protection_rule:
|
||||
# To guarantee Maintained check is occasionally updated. See
|
||||
# https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
|
||||
schedule:
|
||||
- cron: '43 4 * * 3'
|
||||
push:
|
||||
branches: [ "master" ]
|
||||
|
||||
# Declare default permissions as read only.
|
||||
permissions: read-all
|
||||
|
||||
jobs:
|
||||
analysis:
|
||||
name: Scorecard analysis
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
# Needed to upload the results to code-scanning dashboard.
|
||||
security-events: write
|
||||
# Needed to publish results and get a badge (see publish_results below).
|
||||
id-token: write
|
||||
# Uncomment the permissions below if installing in a private repository.
|
||||
# contents: read
|
||||
# actions: read
|
||||
|
||||
steps:
|
||||
- name: "Checkout code"
|
||||
uses: actions/checkout@93ea575cb5d8a053eaa0ac8fa3b40d7e05a33cc8 # v3.1.0
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: "Run analysis"
|
||||
uses: ossf/scorecard-action@99c53751e09b9529366343771cc321ec74e9bd3d # v2.0.6
|
||||
with:
|
||||
results_file: results.sarif
|
||||
results_format: sarif
|
||||
# (Optional) "write" PAT token. Uncomment the `repo_token` line below if:
|
||||
# - you want to enable the Branch-Protection check on a *public* repository, or
|
||||
# - you are installing Scorecard on a *private* repository
|
||||
# To create the PAT, follow the steps in https://github.com/ossf/scorecard-action#authentication-with-pat.
|
||||
# repo_token: ${{ secrets.SCORECARD_TOKEN }}
|
||||
|
||||
# Public repositories:
|
||||
# - Publish results to OpenSSF REST API for easy access by consumers
|
||||
# - Allows the repository to include the Scorecard badge.
|
||||
# - See https://github.com/ossf/scorecard-action#publishing-results.
|
||||
# For private repositories:
|
||||
# - `publish_results` will always be set to `false`, regardless
|
||||
# of the value entered here.
|
||||
publish_results: true
|
||||
|
||||
# Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
|
||||
# format to the repository Actions tab.
|
||||
- name: "Upload artifact"
|
||||
uses: actions/upload-artifact@3cea5372237819ed00197afe530f5a7ea3e805c8 # v3.1.0
|
||||
with:
|
||||
name: SARIF file
|
||||
path: results.sarif
|
||||
retention-days: 5
|
||||
|
||||
# Upload the results to GitHub's code scanning dashboard.
|
||||
- name: "Upload to code-scanning"
|
||||
uses: github/codeql-action/upload-sarif@807578363a7869ca324a79039e6db9c843e0e100 # v2.1.27
|
||||
with:
|
||||
sarif_file: results.sarif
|
||||
30
.github/workflows/tag.yml
vendored
Normal file
30
.github/workflows/tag.yml
vendored
Normal file
@@ -0,0 +1,30 @@
|
||||
name: tag
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
jobs:
|
||||
tag:
|
||||
name: Tag capa rules
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout capa-rules
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
with:
|
||||
repository: mandiant/capa-rules
|
||||
token: ${{ secrets.CAPA_TOKEN }}
|
||||
- name: Tag capa-rules
|
||||
run: |
|
||||
# user information is needed to create annotated tags (with a message)
|
||||
git config user.email 'capa-dev@mandiant.com'
|
||||
git config user.name 'Capa Bot'
|
||||
name=${{ github.event.release.tag_name }}
|
||||
git tag $name -m "https://github.com/mandiant/capa/releases/$name"
|
||||
# TODO update branch name-major=${name%%.*}
|
||||
- name: Push tag to capa-rules
|
||||
uses: ad-m/github-push-action@0fafdd62b84042d49ec0cb92d9cac7f7ce4ec79e # master
|
||||
with:
|
||||
repository: mandiant/capa-rules
|
||||
github_token: ${{ secrets.CAPA_TOKEN }}
|
||||
tags: true
|
||||
78
.github/workflows/tests.yml
vendored
78
.github/workflows/tests.yml
vendored
@@ -6,63 +6,87 @@ on:
|
||||
pull_request:
|
||||
branches: [ master ]
|
||||
|
||||
# save workspaces to speed up testing
|
||||
env:
|
||||
CAPA_SAVE_WORKSPACE: "True"
|
||||
|
||||
jobs:
|
||||
code_style:
|
||||
runs-on: ubuntu-latest
|
||||
changelog_format:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout capa
|
||||
uses: actions/checkout@v2
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
# The sync GH action in capa-rules relies on a single '- *$' in the CHANGELOG file
|
||||
- name: Ensure CHANGELOG has '- *$'
|
||||
run: |
|
||||
number=$(grep '\- *$' CHANGELOG.md | wc -l)
|
||||
if [ $number != 1 ]; then exit 1; fi
|
||||
|
||||
code_style:
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout capa
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
- name: Set up Python 3.8
|
||||
uses: actions/setup-python@v2
|
||||
uses: actions/setup-python@d27e3f3d7c64b4bbf8e4abfb9b63b83e846e0435 # v4.5.0
|
||||
with:
|
||||
python-version: 3.8
|
||||
python-version: "3.8"
|
||||
- name: Install dependencies
|
||||
run: pip install 'isort==5.*' black
|
||||
run: pip install -e .[dev]
|
||||
- name: Lint with isort
|
||||
run: isort --profile black --length-sort --line-width 120 -c .
|
||||
- name: Lint with black
|
||||
run: black -l 120 --check .
|
||||
- name: Lint with pycodestyle
|
||||
run: pycodestyle --show-source capa/ scripts/ tests/
|
||||
- name: Check types with mypy
|
||||
run: mypy --config-file .github/mypy/mypy.ini --check-untyped-defs capa/ scripts/ tests/
|
||||
|
||||
rule_linter:
|
||||
runs-on: ubuntu-latest
|
||||
runs-on: ubuntu-20.04
|
||||
steps:
|
||||
- name: Checkout capa with rules submodule
|
||||
uses: actions/checkout@v2
|
||||
- name: Checkout capa with submodules
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
with:
|
||||
submodules: true
|
||||
submodules: recursive
|
||||
- name: Set up Python 3.8
|
||||
uses: actions/setup-python@v2
|
||||
uses: actions/setup-python@d27e3f3d7c64b4bbf8e4abfb9b63b83e846e0435 # v4.5.0
|
||||
with:
|
||||
python-version: 3.8
|
||||
# We don't need vivisect, so we can install capa using Python3
|
||||
python-version: "3.8"
|
||||
- name: Install capa
|
||||
run: pip install -e .
|
||||
- name: Run rule linter
|
||||
run: python scripts/lint.py rules/
|
||||
|
||||
tests:
|
||||
name: Tests in ${{ matrix.python }}
|
||||
runs-on: ubuntu-latest
|
||||
name: Tests in ${{ matrix.python-version }} on ${{ matrix.os }}
|
||||
runs-on: ${{ matrix.os }}
|
||||
needs: [code_style, rule_linter]
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
os: [ubuntu-20.04, windows-2019, macos-11]
|
||||
# across all operating systems
|
||||
python-version: ["3.7", "3.11"]
|
||||
include:
|
||||
- python: 2.7
|
||||
- python: 3.6
|
||||
- python: 3.7
|
||||
- python: 3.8
|
||||
- python: '3.9.0-rc.1' # Python latest
|
||||
# on Ubuntu run these as well
|
||||
- os: ubuntu-20.04
|
||||
python-version: "3.8"
|
||||
- os: ubuntu-20.04
|
||||
python-version: "3.9"
|
||||
steps:
|
||||
- name: Checkout capa with submodules
|
||||
uses: actions/checkout@v2
|
||||
uses: actions/checkout@ac593985615ec2ede58e132d2e21d2b1cbd6127c # v3.3.0
|
||||
with:
|
||||
submodules: true
|
||||
- name: Set up Python ${{ matrix.python }}
|
||||
uses: actions/setup-python@v2
|
||||
submodules: recursive
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@d27e3f3d7c64b4bbf8e4abfb9b63b83e846e0435 # v4.5.0
|
||||
with:
|
||||
python-version: ${{ matrix.python }}
|
||||
python-version: ${{ matrix.python-version }}
|
||||
- name: Install pyyaml
|
||||
if: matrix.os == 'ubuntu-20.04'
|
||||
run: sudo apt-get install -y libyaml-dev
|
||||
- name: Install capa
|
||||
run: pip install -e .[dev]
|
||||
- name: Run tests
|
||||
run: pytest tests/
|
||||
|
||||
run: pytest -v tests/
|
||||
|
||||
8
.gitignore
vendored
8
.gitignore
vendored
@@ -114,3 +114,11 @@ venv.bak/
|
||||
isort-output.log
|
||||
black-output.log
|
||||
rule-linter-output.log
|
||||
.vscode
|
||||
scripts/perf/*.txt
|
||||
scripts/perf/*.svg
|
||||
scripts/perf/*.zip
|
||||
.direnv
|
||||
.envrc
|
||||
.DS_Store
|
||||
*/.DS_Store
|
||||
|
||||
1654
CHANGELOG.md
1654
CHANGELOG.md
File diff suppressed because it is too large
Load Diff
@@ -187,7 +187,7 @@
|
||||
same "printed page" as the copyright notice for easier
|
||||
identification within third-party archives.
|
||||
|
||||
Copyright (C) 2020 FireEye, Inc.
|
||||
Copyright (C) 2020 Mandiant, Inc.
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
|
||||
105
README.md
105
README.md
@@ -1,14 +1,21 @@
|
||||

|
||||

|
||||
|
||||
[](https://github.com/fireeye/capa/actions?query=workflow%3ACI+event%3Apush+branch%3Amaster)
|
||||
[](https://github.com/fireeye/capa-rules)
|
||||
[](https://pypi.org/project/flare-capa)
|
||||
[](https://github.com/mandiant/capa/releases)
|
||||
[](https://github.com/mandiant/capa-rules)
|
||||
[](https://github.com/mandiant/capa/actions?query=workflow%3ACI+event%3Apush+branch%3Amaster)
|
||||
[](https://github.com/mandiant/capa/releases)
|
||||
[](LICENSE.txt)
|
||||
|
||||
capa detects capabilities in executable files.
|
||||
You run it against a PE file or shellcode and it tells you what it thinks the program can do.
|
||||
You run it against a PE, ELF, .NET module, or shellcode file and it tells you what it thinks the program can do.
|
||||
For example, it might suggest that the file is a backdoor, is capable of installing services, or relies on HTTP to communicate.
|
||||
|
||||
Check out the overview in our first [capa blog post](https://www.fireeye.com/blog/threat-research/2020/07/capa-automatically-identify-malware-capabilities.html).
|
||||
Check out:
|
||||
- the overview in our first [capa blog post](https://www.mandiant.com/resources/capa-automatically-identify-malware-capabilities)
|
||||
- the major version 2.0 updates described in our [second blog post](https://www.mandiant.com/resources/capa-2-better-stronger-faster)
|
||||
- the major version 3.0 (ELF support) described in the [third blog post](https://www.mandiant.com/resources/elfant-in-the-room-capa-v3)
|
||||
- the major version 4.0 (.NET support) described in the [fourth blog post](https://www.mandiant.com/resources/blog/capa-v4-casting-wider-net)
|
||||
|
||||
```
|
||||
$ capa.exe suspicious.exe
|
||||
@@ -60,18 +67,11 @@ $ capa.exe suspicious.exe
|
||||
|
||||
# download and usage
|
||||
|
||||
Download stable releases of the standalone capa binaries [here](https://github.com/fireeye/capa/releases). You can run the standalone binaries without installation. capa is a command line tool that should be run from the terminal.
|
||||
Download stable releases of the standalone capa binaries [here](https://github.com/mandiant/capa/releases). You can run the standalone binaries without installation. capa is a command line tool that should be run from the terminal.
|
||||
|
||||
<!--
|
||||
Alternatively, you can fetch a nightly build of a standalone binary from one of the following links. These are built using the latest development branch.
|
||||
- Windows 64bit: TODO
|
||||
- Linux: TODO
|
||||
- OSX: TODO
|
||||
-->
|
||||
To use capa as a library or integrate with another tool, see [doc/installation.md](https://github.com/mandiant/capa/blob/master/doc/installation.md) for further setup instructions.
|
||||
|
||||
To use capa as a library or integrate with another tool, see [doc/installation.md](doc/installation.md) for further setup instructions.
|
||||
|
||||
For more information about how to use capa, see [doc/usage.md](doc/usage.md).
|
||||
For more information about how to use capa, see [doc/usage.md](https://github.com/mandiant/capa/blob/master/doc/usage.md).
|
||||
|
||||
# example
|
||||
|
||||
@@ -88,31 +88,40 @@ This is useful for at least two reasons:
|
||||
- it shows where within the binary an experienced analyst might study with IDA Pro
|
||||
|
||||
```
|
||||
λ capa.exe suspicious.exe -vv
|
||||
$ capa.exe suspicious.exe -vv
|
||||
...
|
||||
execute shell command and capture output
|
||||
namespace c2/shell
|
||||
author matthew.williams@fireeye.com
|
||||
author matthew.williams@mandiant.com
|
||||
scope function
|
||||
att&ck Execution::Command and Scripting Interpreter::Windows Command Shell [T1059.003]
|
||||
references https://docs.microsoft.com/en-us/windows/win32/api/processthreadsapi/ns-processthreadsapi-startupinfoa
|
||||
examples Practical Malware Analysis Lab 14-02.exe_:0x4011C0
|
||||
function @ 0x10003A13
|
||||
function @ 0x4011C0
|
||||
and:
|
||||
match: create a process with modified I/O handles and window @ 0x10003A13
|
||||
match: create a process with modified I/O handles and window @ 0x4011C0
|
||||
and:
|
||||
number: 257 = STARTF_USESTDHANDLES | STARTF_USESHOWWINDOW @ 0x4012B8
|
||||
or:
|
||||
api: kernel32.CreateProcess @ 0x10003D6D
|
||||
number: 0x101 @ 0x10003B03
|
||||
or:
|
||||
number: 0x44 @ 0x10003ADC
|
||||
optional:
|
||||
api: kernel32.GetStartupInfo @ 0x10003AE4
|
||||
match: create pipe @ 0x10003A13
|
||||
number: 68 = StartupInfo.cb (size) @ 0x401282
|
||||
or: = API functions that accept a pointer to a STARTUPINFO structure
|
||||
api: kernel32.CreateProcess @ 0x401343
|
||||
match: create pipe @ 0x4011C0
|
||||
or:
|
||||
api: kernel32.CreatePipe @ 0x10003ACB
|
||||
api: kernel32.CreatePipe @ 0x40126F, 0x401280
|
||||
optional:
|
||||
match: create thread @ 0x40136A, 0x4013BA
|
||||
or:
|
||||
and:
|
||||
os: windows
|
||||
or:
|
||||
api: kernel32.CreateThread @ 0x4013D7
|
||||
or:
|
||||
and:
|
||||
os: windows
|
||||
or:
|
||||
api: kernel32.CreateThread @ 0x401395
|
||||
or:
|
||||
string: cmd.exe /c @ 0x10003AED
|
||||
string: "cmd.exe" @ 0x4012FD
|
||||
...
|
||||
```
|
||||
|
||||
@@ -128,37 +137,49 @@ rule:
|
||||
meta:
|
||||
name: hash data with CRC32
|
||||
namespace: data-manipulation/checksum/crc32
|
||||
author: moritz.raabe@fireeye.com
|
||||
authors:
|
||||
- moritz.raabe@mandiant.com
|
||||
scope: function
|
||||
mbc:
|
||||
- Data::Checksum::CRC32 [C0032.001]
|
||||
examples:
|
||||
- 2D3EDC218A90F03089CC01715A9F047F:0x403CBD
|
||||
- 7D28CB106CB54876B2A5C111724A07CD:0x402350 # RtlComputeCrc32
|
||||
- 7EFF498DE13CC734262F87E6B3EF38AB:0x100084A6
|
||||
features:
|
||||
- or:
|
||||
- and:
|
||||
- mnemonic: shr
|
||||
- number: 0xEDB88320
|
||||
- or:
|
||||
- number: 0xEDB88320
|
||||
- bytes: 00 00 00 00 96 30 07 77 2C 61 0E EE BA 51 09 99 19 C4 6D 07 8F F4 6A 70 35 A5 63 E9 A3 95 64 9E = crc32_tab
|
||||
- number: 8
|
||||
- characteristic: nzxor
|
||||
- and:
|
||||
- number: 0x8320
|
||||
- number: 0xEDB8
|
||||
- characteristic: nzxor
|
||||
- api: RtlComputeCrc32
|
||||
```
|
||||
|
||||
The [github.com/fireeye/capa-rules](https://github.com/fireeye/capa-rules) repository contains hundreds of standard library rules that are distributed with capa.
|
||||
The [github.com/mandiant/capa-rules](https://github.com/mandiant/capa-rules) repository contains hundreds of standard library rules that are distributed with capa.
|
||||
Please learn to write rules and contribute new entries as you find interesting techniques in malware.
|
||||
|
||||
If you use IDA Pro, then you use can use the [capa explorer IDA plugin](capa/ida/plugin/).
|
||||
capa explorer lets you quickly identify and navigate to interesting areas of a program and dissect capa rule matches at
|
||||
the assembly level.
|
||||
If you use IDA Pro, then you can use the [capa explorer](https://github.com/mandiant/capa/tree/master/capa/ida/plugin) plugin.
|
||||
capa explorer helps you identify interesting areas of a program and build new capa rules using features extracted directly from your IDA Pro database.
|
||||
|
||||

|
||||

|
||||
|
||||
# further information
|
||||
## capa
|
||||
- [doc/installation](doc/installation.md)
|
||||
- [doc/usage](doc/usage.md)
|
||||
- [doc/limitations](doc/limitations.md)
|
||||
- [Contributing Guide](.github/CONTRIBUTING.md)
|
||||
- [Installation](https://github.com/mandiant/capa/blob/master/doc/installation.md)
|
||||
- [Usage](https://github.com/mandiant/capa/blob/master/doc/usage.md)
|
||||
- [Limitations](https://github.com/mandiant/capa/blob/master/doc/limitations.md)
|
||||
- [Contributing Guide](https://github.com/mandiant/capa/blob/master/.github/CONTRIBUTING.md)
|
||||
|
||||
## capa rules
|
||||
- [capa-rules repository](https://github.com/fireeye/capa-rules)
|
||||
- [capa-rules rule format](https://github.com/fireeye/capa-rules/blob/master/doc/format.md)
|
||||
- [capa-rules repository](https://github.com/mandiant/capa-rules)
|
||||
- [capa-rules rule format](https://github.com/mandiant/capa-rules/blob/master/doc/format.md)
|
||||
|
||||
## capa testfiles
|
||||
The [capa-testfiles repository](https://github.com/mandiant/capa-testfiles) contains the data we use to test capa's code and rules
|
||||
|
||||
326
capa/engine.py
326
capa/engine.py
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,14 +6,31 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import copy
|
||||
import collections
|
||||
from typing import TYPE_CHECKING, Set, Dict, List, Tuple, Union, Mapping, Iterable, Iterator, cast
|
||||
|
||||
import capa.features
|
||||
import capa.perf
|
||||
import capa.features.common
|
||||
from capa.features.common import Result, Feature
|
||||
from capa.features.address import Address
|
||||
|
||||
if TYPE_CHECKING:
|
||||
# circular import, otherwise
|
||||
import capa.rules
|
||||
|
||||
|
||||
class Statement(object):
|
||||
# a collection of features and the locations at which they are found.
|
||||
#
|
||||
# used throughout matching as the context in which features are searched:
|
||||
# to check if a feature exists, do: `Number(0x10) in features`.
|
||||
# to collect the locations of a feature, do: `features[Number(0x10)]`
|
||||
#
|
||||
# aliased here so that the type can be documented and xref'd.
|
||||
FeatureSet = Dict[Feature, Set[Address]]
|
||||
|
||||
|
||||
class Statement:
|
||||
"""
|
||||
superclass for structural nodes, such as and/or/not.
|
||||
this exists to provide a default impl for `__str__` and `__repr__`,
|
||||
@@ -21,7 +38,7 @@ class Statement(object):
|
||||
"""
|
||||
|
||||
def __init__(self, description=None):
|
||||
super(Statement, self).__init__()
|
||||
super().__init__()
|
||||
self.name = self.__class__.__name__
|
||||
self.description = description
|
||||
|
||||
@@ -34,144 +51,179 @@ class Statement(object):
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
def evaluate(self, ctx):
|
||||
def evaluate(self, features: FeatureSet, short_circuit=True) -> Result:
|
||||
"""
|
||||
classes that inherit `Statement` must implement `evaluate`
|
||||
|
||||
args:
|
||||
ctx (defaultdict[Feature, set[VA]])
|
||||
|
||||
returns:
|
||||
Result
|
||||
short_circuit (bool): if true, then statements like and/or/some may short circuit.
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
def get_children(self):
|
||||
def get_children(self) -> Iterator[Union["Statement", Feature]]:
|
||||
if hasattr(self, "child"):
|
||||
yield self.child
|
||||
# this really confuses mypy because the property may not exist
|
||||
# since its defined in the subclasses.
|
||||
child = self.child # type: ignore
|
||||
assert isinstance(child, (Statement, Feature))
|
||||
yield child
|
||||
|
||||
if hasattr(self, "children"):
|
||||
for child in self.children:
|
||||
for child in getattr(self, "children"):
|
||||
assert isinstance(child, (Statement, Feature))
|
||||
yield child
|
||||
|
||||
def replace_child(self, existing, new):
|
||||
if hasattr(self, "child"):
|
||||
if self.child is existing:
|
||||
# this really confuses mypy because the property may not exist
|
||||
# since its defined in the subclasses.
|
||||
if self.child is existing: # type: ignore
|
||||
self.child = new
|
||||
|
||||
if hasattr(self, "children"):
|
||||
for i, child in enumerate(self.children):
|
||||
children = getattr(self, "children")
|
||||
for i, child in enumerate(children):
|
||||
if child is existing:
|
||||
self.children[i] = new
|
||||
|
||||
|
||||
class Result(object):
|
||||
"""
|
||||
represents the results of an evaluation of statements against features.
|
||||
|
||||
instances of this class should behave like a bool,
|
||||
e.g. `assert Result(True, ...) == True`
|
||||
|
||||
instances track additional metadata about evaluation results.
|
||||
they contain references to the statement node (e.g. an And statement),
|
||||
as well as the children Result instances.
|
||||
|
||||
we need this so that we can render the tree of expressions and their results.
|
||||
"""
|
||||
|
||||
def __init__(self, success, statement, children, locations=None):
|
||||
"""
|
||||
args:
|
||||
success (bool)
|
||||
statement (capa.engine.Statement or capa.features.Feature)
|
||||
children (list[Result])
|
||||
locations (iterable[VA])
|
||||
"""
|
||||
super(Result, self).__init__()
|
||||
self.success = success
|
||||
self.statement = statement
|
||||
self.children = children
|
||||
self.locations = locations if locations is not None else ()
|
||||
|
||||
def __eq__(self, other):
|
||||
if isinstance(other, bool):
|
||||
return self.success == other
|
||||
return False
|
||||
|
||||
def __bool__(self):
|
||||
return self.success
|
||||
|
||||
def __nonzero__(self):
|
||||
return self.success
|
||||
children[i] = new
|
||||
|
||||
|
||||
class And(Statement):
|
||||
"""match if all of the children evaluate to True."""
|
||||
"""
|
||||
match if all of the children evaluate to True.
|
||||
|
||||
the order of evaluation is dictated by the property
|
||||
`And.children` (type: List[Statement|Feature]).
|
||||
a query optimizer may safely manipulate the order of these children.
|
||||
"""
|
||||
|
||||
def __init__(self, children, description=None):
|
||||
super(And, self).__init__(description=description)
|
||||
super().__init__(description=description)
|
||||
self.children = children
|
||||
|
||||
def evaluate(self, ctx):
|
||||
results = [child.evaluate(ctx) for child in self.children]
|
||||
success = all(results)
|
||||
return Result(success, self, results)
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.and"] += 1
|
||||
|
||||
if short_circuit:
|
||||
results = []
|
||||
for child in self.children:
|
||||
result = child.evaluate(ctx, short_circuit=short_circuit)
|
||||
results.append(result)
|
||||
if not result:
|
||||
# short circuit
|
||||
return Result(False, self, results)
|
||||
|
||||
return Result(True, self, results)
|
||||
else:
|
||||
results = [child.evaluate(ctx, short_circuit=short_circuit) for child in self.children]
|
||||
success = all(results)
|
||||
return Result(success, self, results)
|
||||
|
||||
|
||||
class Or(Statement):
|
||||
"""match if any of the children evaluate to True."""
|
||||
"""
|
||||
match if any of the children evaluate to True.
|
||||
|
||||
the order of evaluation is dictated by the property
|
||||
`Or.children` (type: List[Statement|Feature]).
|
||||
a query optimizer may safely manipulate the order of these children.
|
||||
"""
|
||||
|
||||
def __init__(self, children, description=None):
|
||||
super(Or, self).__init__(description=description)
|
||||
super().__init__(description=description)
|
||||
self.children = children
|
||||
|
||||
def evaluate(self, ctx):
|
||||
results = [child.evaluate(ctx) for child in self.children]
|
||||
success = any(results)
|
||||
return Result(success, self, results)
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.or"] += 1
|
||||
|
||||
if short_circuit:
|
||||
results = []
|
||||
for child in self.children:
|
||||
result = child.evaluate(ctx, short_circuit=short_circuit)
|
||||
results.append(result)
|
||||
if result:
|
||||
# short circuit as soon as we hit one match
|
||||
return Result(True, self, results)
|
||||
|
||||
return Result(False, self, results)
|
||||
else:
|
||||
results = [child.evaluate(ctx, short_circuit=short_circuit) for child in self.children]
|
||||
success = any(results)
|
||||
return Result(success, self, results)
|
||||
|
||||
|
||||
class Not(Statement):
|
||||
"""match only if the child evaluates to False."""
|
||||
|
||||
def __init__(self, child, description=None):
|
||||
super(Not, self).__init__(description=description)
|
||||
super().__init__(description=description)
|
||||
self.child = child
|
||||
|
||||
def evaluate(self, ctx):
|
||||
results = [self.child.evaluate(ctx)]
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.not"] += 1
|
||||
|
||||
results = [self.child.evaluate(ctx, short_circuit=short_circuit)]
|
||||
success = not results[0]
|
||||
return Result(success, self, results)
|
||||
|
||||
|
||||
class Some(Statement):
|
||||
"""match if at least N of the children evaluate to True."""
|
||||
"""
|
||||
match if at least N of the children evaluate to True.
|
||||
|
||||
the order of evaluation is dictated by the property
|
||||
`Some.children` (type: List[Statement|Feature]).
|
||||
a query optimizer may safely manipulate the order of these children.
|
||||
"""
|
||||
|
||||
def __init__(self, count, children, description=None):
|
||||
super(Some, self).__init__(description=description)
|
||||
super().__init__(description=description)
|
||||
self.count = count
|
||||
self.children = children
|
||||
|
||||
def evaluate(self, ctx):
|
||||
results = [child.evaluate(ctx) for child in self.children]
|
||||
# note that here we cast the child result as a bool
|
||||
# because we've overridden `__bool__` above.
|
||||
#
|
||||
# we can't use `if child is True` because the instance is not True.
|
||||
success = sum([1 for child in results if bool(child) is True]) >= self.count
|
||||
return Result(success, self, results)
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.some"] += 1
|
||||
|
||||
if short_circuit:
|
||||
results = []
|
||||
satisfied_children_count = 0
|
||||
for child in self.children:
|
||||
result = child.evaluate(ctx, short_circuit=short_circuit)
|
||||
results.append(result)
|
||||
if result:
|
||||
satisfied_children_count += 1
|
||||
|
||||
if satisfied_children_count >= self.count:
|
||||
# short circuit as soon as we hit the threshold
|
||||
return Result(True, self, results)
|
||||
|
||||
return Result(False, self, results)
|
||||
else:
|
||||
results = [child.evaluate(ctx, short_circuit=short_circuit) for child in self.children]
|
||||
# note that here we cast the child result as a bool
|
||||
# because we've overridden `__bool__` above.
|
||||
#
|
||||
# we can't use `if child is True` because the instance is not True.
|
||||
success = sum([1 for child in results if bool(child) is True]) >= self.count
|
||||
return Result(success, self, results)
|
||||
|
||||
|
||||
class Range(Statement):
|
||||
"""match if the child is contained in the ctx set with a count in the given range."""
|
||||
|
||||
def __init__(self, child, min=None, max=None, description=None):
|
||||
super(Range, self).__init__(description=description)
|
||||
super().__init__(description=description)
|
||||
self.child = child
|
||||
self.min = min if min is not None else 0
|
||||
self.max = max if max is not None else (1 << 64 - 1)
|
||||
|
||||
def evaluate(self, ctx):
|
||||
def evaluate(self, ctx, **kwargs):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.range"] += 1
|
||||
|
||||
count = len(ctx.get(self.child, []))
|
||||
if self.min == 0 and count == 0:
|
||||
return Result(True, self, [])
|
||||
@@ -191,59 +243,66 @@ class Subscope(Statement):
|
||||
the engine should preprocess rules to extract subscope statements into their own rules.
|
||||
"""
|
||||
|
||||
def __init__(self, scope, child):
|
||||
super(Subscope, self).__init__()
|
||||
def __init__(self, scope, child, description=None):
|
||||
super().__init__(description=description)
|
||||
self.scope = scope
|
||||
self.child = child
|
||||
|
||||
def evaluate(self, ctx):
|
||||
def evaluate(self, ctx, **kwargs):
|
||||
raise ValueError("cannot evaluate a subscope directly!")
|
||||
|
||||
|
||||
def topologically_order_rules(rules):
|
||||
# mapping from rule name to list of: (location of match, result object)
|
||||
#
|
||||
# used throughout matching and rendering to collection the results
|
||||
# of statement evaluation and their locations.
|
||||
#
|
||||
# to check if a rule matched, do: `"TCP client" in matches`.
|
||||
# to find where a rule matched, do: `map(first, matches["TCP client"])`
|
||||
# to see how a rule matched, do:
|
||||
#
|
||||
# for address, match_details in matches["TCP client"]:
|
||||
# inspect(match_details)
|
||||
#
|
||||
# aliased here so that the type can be documented and xref'd.
|
||||
MatchResults = Mapping[str, List[Tuple[Address, Result]]]
|
||||
|
||||
|
||||
def index_rule_matches(features: FeatureSet, rule: "capa.rules.Rule", locations: Iterable[Address]):
|
||||
"""
|
||||
order the given rules such that dependencies show up before dependents.
|
||||
this means that as we match rules, we can add features for the matches, and these
|
||||
will be matched by subsequent rules if they follow this order.
|
||||
record into the given featureset that the given rule matched at the given locations.
|
||||
|
||||
assumes that the rule dependency graph is a DAG.
|
||||
naively, this is just adding a MatchedRule feature;
|
||||
however, we also want to record matches for the rule's namespaces.
|
||||
|
||||
updates `features` in-place. doesn't modify the remaining arguments.
|
||||
"""
|
||||
# we evaluate `rules` multiple times, so if its a generator, realize it into a list.
|
||||
rules = list(rules)
|
||||
namespaces = capa.rules.index_rules_by_namespace(rules)
|
||||
rules = {rule.name: rule for rule in rules}
|
||||
seen = set([])
|
||||
ret = []
|
||||
|
||||
def rec(rule):
|
||||
if rule.name in seen:
|
||||
return
|
||||
|
||||
for dep in rule.get_dependencies(namespaces):
|
||||
rec(rules[dep])
|
||||
|
||||
ret.append(rule)
|
||||
seen.add(rule.name)
|
||||
|
||||
for rule in rules.values():
|
||||
rec(rule)
|
||||
|
||||
return ret
|
||||
features[capa.features.common.MatchedRule(rule.name)].update(locations)
|
||||
namespace = rule.meta.get("namespace")
|
||||
if namespace:
|
||||
while namespace:
|
||||
features[capa.features.common.MatchedRule(namespace)].update(locations)
|
||||
namespace, _, _ = namespace.rpartition("/")
|
||||
|
||||
|
||||
def match(rules, features, va):
|
||||
def match(rules: List["capa.rules.Rule"], features: FeatureSet, addr: Address) -> Tuple[FeatureSet, MatchResults]:
|
||||
"""
|
||||
Args:
|
||||
rules (List[capa.rules.Rule]): these must already be ordered topologically by dependency.
|
||||
features (Mapping[capa.features.Feature, int]):
|
||||
va (int): location of the features
|
||||
match the given rules against the given features,
|
||||
returning an updated set of features and the matches.
|
||||
|
||||
Returns:
|
||||
Tuple[List[capa.features.Feature], Dict[str, Tuple[int, capa.engine.Result]]]: two-tuple with entries:
|
||||
- list of features used for matching (which may be greater than argument, due to rule match features), and
|
||||
- mapping from rule name to (location of match, result object)
|
||||
the updated features are just like the input,
|
||||
but extended to include the match features (e.g. names of rules that matched).
|
||||
the given feature set is not modified; an updated copy is returned.
|
||||
|
||||
the given list of rules must be ordered topologically by dependency,
|
||||
or else `match` statements will not be handled correctly.
|
||||
|
||||
this routine should be fairly optimized, but is not guaranteed to be the fastest matcher possible.
|
||||
it has a particularly convenient signature: (rules, features) -> matches
|
||||
other strategies can be imagined that match differently; implement these elsewhere.
|
||||
specifically, this routine does "top down" matching of the given rules against the feature set.
|
||||
"""
|
||||
results = collections.defaultdict(list)
|
||||
results = collections.defaultdict(list) # type: MatchResults
|
||||
|
||||
# copy features so that we can modify it
|
||||
# without affecting the caller (keep this function pure)
|
||||
@@ -252,15 +311,22 @@ def match(rules, features, va):
|
||||
features = collections.defaultdict(set, copy.copy(features))
|
||||
|
||||
for rule in rules:
|
||||
res = rule.evaluate(features)
|
||||
res = rule.evaluate(features, short_circuit=True)
|
||||
if res:
|
||||
results[rule.name].append((va, res))
|
||||
features[capa.features.MatchedRule(rule.name)].add(va)
|
||||
# we first matched the rule with short circuiting enabled.
|
||||
# this is much faster than without short circuiting.
|
||||
# however, we want to collect all results thoroughly,
|
||||
# so once we've found a match quickly,
|
||||
# go back and capture results without short circuiting.
|
||||
res = rule.evaluate(features, short_circuit=False)
|
||||
|
||||
namespace = rule.meta.get("namespace")
|
||||
if namespace:
|
||||
while namespace:
|
||||
features[capa.features.MatchedRule(namespace)].add(va)
|
||||
namespace, _, _ = namespace.rpartition("/")
|
||||
# sanity check
|
||||
assert bool(res) is True
|
||||
|
||||
results[rule.name].append((addr, res))
|
||||
# we need to update the current `features`
|
||||
# because subsequent iterations of this loop may use newly added features,
|
||||
# such as rule or namespace matches.
|
||||
index_rule_matches(features, rule, [addr])
|
||||
|
||||
return (features, results)
|
||||
|
||||
14
capa/exceptions.py
Normal file
14
capa/exceptions.py
Normal file
@@ -0,0 +1,14 @@
|
||||
class UnsupportedRuntimeError(RuntimeError):
|
||||
pass
|
||||
|
||||
|
||||
class UnsupportedFormatError(ValueError):
|
||||
pass
|
||||
|
||||
|
||||
class UnsupportedArchError(ValueError):
|
||||
pass
|
||||
|
||||
|
||||
class UnsupportedOSError(ValueError):
|
||||
pass
|
||||
@@ -1,219 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import re
|
||||
import sys
|
||||
import codecs
|
||||
import logging
|
||||
|
||||
import capa.engine
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
MAX_BYTES_FEATURE_SIZE = 0x100
|
||||
|
||||
# identifiers for supported architectures names that tweak a feature
|
||||
# for example, offset/x32
|
||||
ARCH_X32 = "x32"
|
||||
ARCH_X64 = "x64"
|
||||
VALID_ARCH = (ARCH_X32, ARCH_X64)
|
||||
|
||||
|
||||
def bytes_to_str(b):
|
||||
if sys.version_info[0] >= 3:
|
||||
return str(codecs.encode(b, "hex").decode("utf-8"))
|
||||
else:
|
||||
return codecs.encode(b, "hex")
|
||||
|
||||
|
||||
def hex_string(h):
|
||||
""" render hex string e.g. "0a40b1" as "0A 40 B1" """
|
||||
return " ".join(h[i : i + 2] for i in range(0, len(h), 2)).upper()
|
||||
|
||||
|
||||
class Feature(object):
|
||||
def __init__(self, value, arch=None, description=None):
|
||||
"""
|
||||
Args:
|
||||
value (any): the value of the feature, such as the number or string.
|
||||
arch (str): one of the VALID_ARCH values, or None.
|
||||
When None, then the feature applies to any architecture.
|
||||
Modifies the feature name from `feature` to `feature/arch`, like `offset/x32`.
|
||||
description (str): a human-readable description that explains the feature value.
|
||||
"""
|
||||
super(Feature, self).__init__()
|
||||
|
||||
if arch is not None:
|
||||
if arch not in VALID_ARCH:
|
||||
raise ValueError("arch '%s' must be one of %s" % (arch, VALID_ARCH))
|
||||
self.name = self.__class__.__name__.lower() + "/" + arch
|
||||
else:
|
||||
self.name = self.__class__.__name__.lower()
|
||||
|
||||
self.value = value
|
||||
self.arch = arch
|
||||
self.description = description
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.name, self.value, self.arch))
|
||||
|
||||
def __eq__(self, other):
|
||||
return self.name == other.name and self.value == other.value and self.arch == other.arch
|
||||
|
||||
def get_value_str(self):
|
||||
"""
|
||||
render the value of this feature, for use by `__str__` and friends.
|
||||
subclasses should override to customize the rendering.
|
||||
|
||||
Returns: any
|
||||
"""
|
||||
return self.value
|
||||
|
||||
def __str__(self):
|
||||
if self.value:
|
||||
if self.description:
|
||||
return "%s(%s = %s)" % (self.name, self.get_value_str(), self.description)
|
||||
else:
|
||||
return "%s(%s)" % (self.name, self.get_value_str())
|
||||
else:
|
||||
return "%s" % self.name
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
def evaluate(self, ctx):
|
||||
return capa.engine.Result(self in ctx, self, [], locations=ctx.get(self, []))
|
||||
|
||||
def freeze_serialize(self):
|
||||
if self.arch is not None:
|
||||
return (self.__class__.__name__, [self.value, {"arch": self.arch}])
|
||||
else:
|
||||
return (self.__class__.__name__, [self.value])
|
||||
|
||||
@classmethod
|
||||
def freeze_deserialize(cls, args):
|
||||
# as you can see below in code,
|
||||
# if the last argument is a dictionary,
|
||||
# consider it to be kwargs passed to the feature constructor.
|
||||
if len(args) == 1:
|
||||
return cls(*args)
|
||||
elif isinstance(args[-1], dict):
|
||||
kwargs = args[-1]
|
||||
args = args[:-1]
|
||||
return cls(*args, **kwargs)
|
||||
|
||||
|
||||
class MatchedRule(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
super(MatchedRule, self).__init__(value, description=description)
|
||||
self.name = "match"
|
||||
|
||||
|
||||
class Characteristic(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
super(Characteristic, self).__init__(value, description=description)
|
||||
|
||||
|
||||
class String(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
super(String, self).__init__(value, description=description)
|
||||
|
||||
|
||||
class Regex(String):
|
||||
def __init__(self, value, description=None):
|
||||
super(Regex, self).__init__(value, description=description)
|
||||
pat = self.value[len("/") : -len("/")]
|
||||
flags = re.DOTALL
|
||||
if value.endswith("/i"):
|
||||
pat = self.value[len("/") : -len("/i")]
|
||||
flags |= re.IGNORECASE
|
||||
try:
|
||||
self.re = re.compile(pat, flags)
|
||||
except re.error:
|
||||
if value.endswith("/i"):
|
||||
value = value[: -len("i")]
|
||||
raise ValueError(
|
||||
"invalid regular expression: %s it should use Python syntax, try it at https://pythex.org" % value
|
||||
)
|
||||
|
||||
def evaluate(self, ctx):
|
||||
for feature, locations in ctx.items():
|
||||
if not isinstance(feature, (capa.features.String,)):
|
||||
continue
|
||||
|
||||
# `re.search` finds a match anywhere in the given string
|
||||
# which implies leading and/or trailing whitespace.
|
||||
# using this mode cleans is more convenient for rule authors,
|
||||
# so that they don't have to prefix/suffix their terms like: /.*foo.*/.
|
||||
if self.re.search(feature.value):
|
||||
# unlike other features, we cannot return put a reference to `self` directly in a `Result`.
|
||||
# this is because `self` may match on many strings, so we can't stuff the matched value into it.
|
||||
# instead, return a new instance that has a reference to both the regex and the matched value.
|
||||
# see #262.
|
||||
return capa.engine.Result(True, _MatchedRegex(self, feature.value), [], locations=locations)
|
||||
|
||||
return capa.engine.Result(False, _MatchedRegex(self, None), [])
|
||||
|
||||
def __str__(self):
|
||||
return "regex(string =~ %s)" % self.value
|
||||
|
||||
|
||||
class _MatchedRegex(Regex):
|
||||
"""
|
||||
this represents a specific instance of a regular expression feature match.
|
||||
treat it the same as a `Regex` except it has the `match` field that contains the complete string that matched.
|
||||
|
||||
note: this type should only ever be constructed by `Regex.evaluate()`. it is not part of the public API.
|
||||
"""
|
||||
|
||||
def __init__(self, regex, match):
|
||||
"""
|
||||
args:
|
||||
regex (Regex): the regex feature that matches
|
||||
match (string|None): the matching string or None if it doesn't match
|
||||
"""
|
||||
super(_MatchedRegex, self).__init__(regex.value, description=regex.description)
|
||||
# we want this to collide with the name of `Regex` above,
|
||||
# so that it works nicely with the renderers.
|
||||
self.name = "regex"
|
||||
# this may be None if the regex doesn't match
|
||||
self.match = match
|
||||
|
||||
def __str__(self):
|
||||
return 'regex(string =~ %s, matched = "%s")' % (self.value, self.match)
|
||||
|
||||
|
||||
class StringFactory(object):
|
||||
def __new__(self, value, description=None):
|
||||
if value.startswith("/") and (value.endswith("/") or value.endswith("/i")):
|
||||
return Regex(value, description=description)
|
||||
return String(value, description=description)
|
||||
|
||||
|
||||
class Bytes(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
super(Bytes, self).__init__(value, description=description)
|
||||
|
||||
def evaluate(self, ctx):
|
||||
for feature, locations in ctx.items():
|
||||
if not isinstance(feature, (capa.features.Bytes,)):
|
||||
continue
|
||||
|
||||
if feature.value.startswith(self.value):
|
||||
return capa.engine.Result(True, self, [], locations=locations)
|
||||
|
||||
return capa.engine.Result(False, self, [])
|
||||
|
||||
def get_value_str(self):
|
||||
return hex_string(bytes_to_str(self.value))
|
||||
|
||||
def freeze_serialize(self):
|
||||
return (self.__class__.__name__, [bytes_to_str(self.value).upper()])
|
||||
|
||||
@classmethod
|
||||
def freeze_deserialize(cls, args):
|
||||
return cls(*[codecs.decode(x, "hex") for x in args])
|
||||
|
||||
114
capa/features/address.py
Normal file
114
capa/features/address.py
Normal file
@@ -0,0 +1,114 @@
|
||||
import abc
|
||||
|
||||
|
||||
class Address(abc.ABC):
|
||||
@abc.abstractmethod
|
||||
def __eq__(self, other):
|
||||
...
|
||||
|
||||
@abc.abstractmethod
|
||||
def __lt__(self, other):
|
||||
# implement < so that addresses can be sorted from low to high
|
||||
...
|
||||
|
||||
@abc.abstractmethod
|
||||
def __hash__(self):
|
||||
# implement hash so that addresses can be used in sets and dicts
|
||||
...
|
||||
|
||||
@abc.abstractmethod
|
||||
def __repr__(self):
|
||||
# implement repr to help during debugging
|
||||
...
|
||||
|
||||
|
||||
class AbsoluteVirtualAddress(int, Address):
|
||||
"""an absolute memory address"""
|
||||
|
||||
def __new__(cls, v):
|
||||
assert v >= 0
|
||||
return int.__new__(cls, v)
|
||||
|
||||
def __repr__(self):
|
||||
return f"absolute(0x{self:x})"
|
||||
|
||||
def __hash__(self):
|
||||
return int.__hash__(self)
|
||||
|
||||
|
||||
class RelativeVirtualAddress(int, Address):
|
||||
"""a memory address relative to a base address"""
|
||||
|
||||
def __repr__(self):
|
||||
return f"relative(0x{self:x})"
|
||||
|
||||
def __hash__(self):
|
||||
return int.__hash__(self)
|
||||
|
||||
|
||||
class FileOffsetAddress(int, Address):
|
||||
"""an address relative to the start of a file"""
|
||||
|
||||
def __new__(cls, v):
|
||||
assert v >= 0
|
||||
return int.__new__(cls, v)
|
||||
|
||||
def __repr__(self):
|
||||
return f"file(0x{self:x})"
|
||||
|
||||
def __hash__(self):
|
||||
return int.__hash__(self)
|
||||
|
||||
|
||||
class DNTokenAddress(int, Address):
|
||||
"""a .NET token"""
|
||||
|
||||
def __new__(cls, token: int):
|
||||
return int.__new__(cls, token)
|
||||
|
||||
def __repr__(self):
|
||||
return f"token(0x{self:x})"
|
||||
|
||||
def __hash__(self):
|
||||
return int.__hash__(self)
|
||||
|
||||
|
||||
class DNTokenOffsetAddress(Address):
|
||||
"""an offset into an object specified by a .NET token"""
|
||||
|
||||
def __init__(self, token: int, offset: int):
|
||||
assert offset >= 0
|
||||
self.token = token
|
||||
self.offset = offset
|
||||
|
||||
def __eq__(self, other):
|
||||
return (self.token, self.offset) == (other.token, other.offset)
|
||||
|
||||
def __lt__(self, other):
|
||||
return (self.token, self.offset) < (other.token, other.offset)
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.token, self.offset))
|
||||
|
||||
def __repr__(self):
|
||||
return f"token(0x{self.token:x})+(0x{self.offset:x})"
|
||||
|
||||
def __index__(self):
|
||||
return self.token + self.offset
|
||||
|
||||
|
||||
class _NoAddress(Address):
|
||||
def __eq__(self, other):
|
||||
return True
|
||||
|
||||
def __lt__(self, other):
|
||||
return False
|
||||
|
||||
def __hash__(self):
|
||||
return hash(0)
|
||||
|
||||
def __repr__(self):
|
||||
return "no address"
|
||||
|
||||
|
||||
NO_ADDRESS = _NoAddress()
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,22 +6,15 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from capa.features import Feature
|
||||
from capa.features.common import Feature
|
||||
|
||||
|
||||
class BasicBlock(Feature):
|
||||
def __init__(self):
|
||||
super(BasicBlock, self).__init__(None)
|
||||
def __init__(self, description=None):
|
||||
super().__init__(0, description=description)
|
||||
|
||||
def __str__(self):
|
||||
return "basic block"
|
||||
|
||||
def get_value_str(self):
|
||||
return ""
|
||||
|
||||
def freeze_serialize(self):
|
||||
return (self.__class__.__name__, [])
|
||||
|
||||
@classmethod
|
||||
def freeze_deserialize(cls, args):
|
||||
return cls()
|
||||
|
||||
455
capa/features/common.py
Normal file
455
capa/features/common.py
Normal file
@@ -0,0 +1,455 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import re
|
||||
import abc
|
||||
import codecs
|
||||
import typing
|
||||
import logging
|
||||
import collections
|
||||
from typing import TYPE_CHECKING, Set, Dict, List, Union, Optional
|
||||
|
||||
if TYPE_CHECKING:
|
||||
# circular import, otherwise
|
||||
import capa.engine
|
||||
|
||||
import capa.perf
|
||||
import capa.features
|
||||
import capa.features.extractors.elf
|
||||
from capa.features.address import Address
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
MAX_BYTES_FEATURE_SIZE = 0x100
|
||||
|
||||
# thunks may be chained so we specify a delta to control the depth to which these chains are explored
|
||||
THUNK_CHAIN_DEPTH_DELTA = 5
|
||||
|
||||
|
||||
class FeatureAccess:
|
||||
READ = "read"
|
||||
WRITE = "write"
|
||||
|
||||
|
||||
VALID_FEATURE_ACCESS = (FeatureAccess.READ, FeatureAccess.WRITE)
|
||||
|
||||
|
||||
def bytes_to_str(b: bytes) -> str:
|
||||
return str(codecs.encode(b, "hex").decode("utf-8"))
|
||||
|
||||
|
||||
def hex_string(h: str) -> str:
|
||||
"""render hex string e.g. "0a40b1" as "0A 40 B1" """
|
||||
return " ".join(h[i : i + 2] for i in range(0, len(h), 2)).upper()
|
||||
|
||||
|
||||
def escape_string(s: str) -> str:
|
||||
"""escape special characters"""
|
||||
s = repr(s)
|
||||
if not s.startswith(('"', "'")):
|
||||
# u'hello\r\nworld' -> hello\\r\\nworld
|
||||
s = s[2:-1]
|
||||
else:
|
||||
# 'hello\r\nworld' -> hello\\r\\nworld
|
||||
s = s[1:-1]
|
||||
s = s.replace("\\'", "'") # repr() may escape "'" in some edge cases, remove
|
||||
s = s.replace('"', '\\"') # repr() does not escape '"', add
|
||||
return s
|
||||
|
||||
|
||||
class Result:
|
||||
"""
|
||||
represents the results of an evaluation of statements against features.
|
||||
|
||||
instances of this class should behave like a bool,
|
||||
e.g. `assert Result(True, ...) == True`
|
||||
|
||||
instances track additional metadata about evaluation results.
|
||||
they contain references to the statement node (e.g. an And statement),
|
||||
as well as the children Result instances.
|
||||
|
||||
we need this so that we can render the tree of expressions and their results.
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
success: bool,
|
||||
statement: Union["capa.engine.Statement", "Feature"],
|
||||
children: List["Result"],
|
||||
locations: Optional[Set[Address]] = None,
|
||||
):
|
||||
super().__init__()
|
||||
self.success = success
|
||||
self.statement = statement
|
||||
self.children = children
|
||||
self.locations = locations if locations is not None else set()
|
||||
|
||||
def __eq__(self, other):
|
||||
if isinstance(other, bool):
|
||||
return self.success == other
|
||||
return False
|
||||
|
||||
def __bool__(self):
|
||||
return self.success
|
||||
|
||||
def __nonzero__(self):
|
||||
return self.success
|
||||
|
||||
|
||||
class Feature(abc.ABC):
|
||||
def __init__(
|
||||
self,
|
||||
value: Union[str, int, float, bytes],
|
||||
description: Optional[str] = None,
|
||||
):
|
||||
"""
|
||||
Args:
|
||||
value (any): the value of the feature, such as the number or string.
|
||||
description (str): a human-readable description that explains the feature value.
|
||||
"""
|
||||
super().__init__()
|
||||
|
||||
self.name = self.__class__.__name__.lower()
|
||||
self.value = value
|
||||
self.description = description
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.name, self.value))
|
||||
|
||||
def __eq__(self, other):
|
||||
return self.name == other.name and self.value == other.value
|
||||
|
||||
def __lt__(self, other):
|
||||
# TODO: this is a huge hack!
|
||||
import capa.features.freeze.features
|
||||
|
||||
return (
|
||||
capa.features.freeze.features.feature_from_capa(self).json()
|
||||
< capa.features.freeze.features.feature_from_capa(other).json()
|
||||
)
|
||||
|
||||
def get_name_str(self) -> str:
|
||||
"""
|
||||
render the name of this feature, for use by `__str__` and friends.
|
||||
subclasses should override to customize the rendering.
|
||||
"""
|
||||
return self.name
|
||||
|
||||
def get_value_str(self) -> str:
|
||||
"""
|
||||
render the value of this feature, for use by `__str__` and friends.
|
||||
subclasses should override to customize the rendering.
|
||||
"""
|
||||
return str(self.value)
|
||||
|
||||
def __str__(self):
|
||||
if self.value is not None:
|
||||
if self.description:
|
||||
return "%s(%s = %s)" % (self.get_name_str(), self.get_value_str(), self.description)
|
||||
else:
|
||||
return "%s(%s)" % (self.get_name_str(), self.get_value_str())
|
||||
else:
|
||||
return "%s" % self.get_name_str()
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
def evaluate(self, ctx: Dict["Feature", Set[Address]], **kwargs) -> Result:
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature." + self.name] += 1
|
||||
return Result(self in ctx, self, [], locations=ctx.get(self, set()))
|
||||
|
||||
|
||||
class MatchedRule(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.name = "match"
|
||||
|
||||
|
||||
class Characteristic(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class String(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
def get_value_str(self) -> str:
|
||||
assert isinstance(self.value, str)
|
||||
return escape_string(self.value)
|
||||
|
||||
|
||||
class Class(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class Namespace(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class Substring(String):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.value = value
|
||||
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.substring"] += 1
|
||||
|
||||
# mapping from string value to list of locations.
|
||||
# will unique the locations later on.
|
||||
matches: typing.DefaultDict[str, Set[Address]] = collections.defaultdict(set)
|
||||
|
||||
assert isinstance(self.value, str)
|
||||
for feature, locations in ctx.items():
|
||||
if not isinstance(feature, (String,)):
|
||||
continue
|
||||
|
||||
if not isinstance(feature.value, str):
|
||||
# this is a programming error: String should only contain str
|
||||
raise ValueError("unexpected feature value type")
|
||||
|
||||
if self.value in feature.value:
|
||||
matches[feature.value].update(locations)
|
||||
if short_circuit:
|
||||
# we found one matching string, thats sufficient to match.
|
||||
# don't collect other matching strings in this mode.
|
||||
break
|
||||
|
||||
if matches:
|
||||
# collect all locations
|
||||
locations = set()
|
||||
for locs in matches.values():
|
||||
locations.update(locs)
|
||||
|
||||
# unlike other features, we cannot return put a reference to `self` directly in a `Result`.
|
||||
# this is because `self` may match on many strings, so we can't stuff the matched value into it.
|
||||
# instead, return a new instance that has a reference to both the substring and the matched values.
|
||||
return Result(True, _MatchedSubstring(self, dict(matches)), [], locations=locations)
|
||||
else:
|
||||
return Result(False, _MatchedSubstring(self, {}), [])
|
||||
|
||||
def get_value_str(self) -> str:
|
||||
assert isinstance(self.value, str)
|
||||
return escape_string(self.value)
|
||||
|
||||
def __str__(self):
|
||||
assert isinstance(self.value, str)
|
||||
return "substring(%s)" % escape_string(self.value)
|
||||
|
||||
|
||||
class _MatchedSubstring(Substring):
|
||||
"""
|
||||
this represents specific match instances of a substring feature.
|
||||
treat it the same as a `Substring` except it has the `matches` field that contains the complete strings that matched.
|
||||
|
||||
note: this type should only ever be constructed by `Substring.evaluate()`. it is not part of the public API.
|
||||
"""
|
||||
|
||||
def __init__(self, substring: Substring, matches: Dict[str, Set[Address]]):
|
||||
"""
|
||||
args:
|
||||
substring: the substring feature that matches.
|
||||
match: mapping from matching string to its locations.
|
||||
"""
|
||||
super().__init__(str(substring.value), description=substring.description)
|
||||
# we want this to collide with the name of `Substring` above,
|
||||
# so that it works nicely with the renderers.
|
||||
self.name = "substring"
|
||||
# this may be None if the substring doesn't match
|
||||
self.matches = matches
|
||||
|
||||
def __str__(self):
|
||||
assert isinstance(self.value, str)
|
||||
return 'substring("%s", matches = %s)' % (
|
||||
self.value,
|
||||
", ".join(map(lambda s: '"' + s + '"', (self.matches or {}).keys())),
|
||||
)
|
||||
|
||||
|
||||
class Regex(String):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.value = value
|
||||
|
||||
pat = self.value[len("/") : -len("/")]
|
||||
flags = re.DOTALL
|
||||
if value.endswith("/i"):
|
||||
pat = self.value[len("/") : -len("/i")]
|
||||
flags |= re.IGNORECASE
|
||||
try:
|
||||
self.re = re.compile(pat, flags)
|
||||
except re.error as exc:
|
||||
if value.endswith("/i"):
|
||||
value = value[: -len("i")]
|
||||
raise ValueError(
|
||||
"invalid regular expression: %s it should use Python syntax, try it at https://pythex.org" % value
|
||||
) from exc
|
||||
|
||||
def evaluate(self, ctx, short_circuit=True):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.regex"] += 1
|
||||
|
||||
# mapping from string value to list of locations.
|
||||
# will unique the locations later on.
|
||||
matches: typing.DefaultDict[str, Set[Address]] = collections.defaultdict(set)
|
||||
|
||||
for feature, locations in ctx.items():
|
||||
if not isinstance(feature, (String,)):
|
||||
continue
|
||||
|
||||
if not isinstance(feature.value, str):
|
||||
# this is a programming error: String should only contain str
|
||||
raise ValueError("unexpected feature value type")
|
||||
|
||||
# `re.search` finds a match anywhere in the given string
|
||||
# which implies leading and/or trailing whitespace.
|
||||
# using this mode cleans is more convenient for rule authors,
|
||||
# so that they don't have to prefix/suffix their terms like: /.*foo.*/.
|
||||
if self.re.search(feature.value):
|
||||
matches[feature.value].update(locations)
|
||||
if short_circuit:
|
||||
# we found one matching string, thats sufficient to match.
|
||||
# don't collect other matching strings in this mode.
|
||||
break
|
||||
|
||||
if matches:
|
||||
# collect all locations
|
||||
locations = set()
|
||||
for locs in matches.values():
|
||||
locations.update(locs)
|
||||
|
||||
# unlike other features, we cannot return put a reference to `self` directly in a `Result`.
|
||||
# this is because `self` may match on many strings, so we can't stuff the matched value into it.
|
||||
# instead, return a new instance that has a reference to both the regex and the matched values.
|
||||
# see #262.
|
||||
return Result(True, _MatchedRegex(self, dict(matches)), [], locations=locations)
|
||||
else:
|
||||
return Result(False, _MatchedRegex(self, {}), [])
|
||||
|
||||
def __str__(self):
|
||||
assert isinstance(self.value, str)
|
||||
return "regex(string =~ %s)" % self.value
|
||||
|
||||
|
||||
class _MatchedRegex(Regex):
|
||||
"""
|
||||
this represents specific match instances of a regular expression feature.
|
||||
treat it the same as a `Regex` except it has the `matches` field that contains the complete strings that matched.
|
||||
|
||||
note: this type should only ever be constructed by `Regex.evaluate()`. it is not part of the public API.
|
||||
"""
|
||||
|
||||
def __init__(self, regex: Regex, matches: Dict[str, Set[Address]]):
|
||||
"""
|
||||
args:
|
||||
regex: the regex feature that matches.
|
||||
matches: mapping from matching string to its locations.
|
||||
"""
|
||||
super().__init__(str(regex.value), description=regex.description)
|
||||
# we want this to collide with the name of `Regex` above,
|
||||
# so that it works nicely with the renderers.
|
||||
self.name = "regex"
|
||||
# this may be None if the regex doesn't match
|
||||
self.matches = matches
|
||||
|
||||
def __str__(self):
|
||||
assert isinstance(self.value, str)
|
||||
return "regex(string =~ %s, matches = %s)" % (
|
||||
self.value,
|
||||
", ".join(map(lambda s: '"' + s + '"', (self.matches or {}).keys())),
|
||||
)
|
||||
|
||||
|
||||
class StringFactory:
|
||||
def __new__(cls, value: str, description=None):
|
||||
if value.startswith("/") and (value.endswith("/") or value.endswith("/i")):
|
||||
return Regex(value, description=description)
|
||||
return String(value, description=description)
|
||||
|
||||
|
||||
class Bytes(Feature):
|
||||
def __init__(self, value: bytes, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.value = value
|
||||
|
||||
def evaluate(self, ctx, **kwargs):
|
||||
capa.perf.counters["evaluate.feature"] += 1
|
||||
capa.perf.counters["evaluate.feature.bytes"] += 1
|
||||
|
||||
assert isinstance(self.value, bytes)
|
||||
for feature, locations in ctx.items():
|
||||
if not isinstance(feature, (Bytes,)):
|
||||
continue
|
||||
|
||||
assert isinstance(feature.value, bytes)
|
||||
if feature.value.startswith(self.value):
|
||||
return Result(True, self, [], locations=locations)
|
||||
|
||||
return Result(False, self, [])
|
||||
|
||||
def get_value_str(self):
|
||||
assert isinstance(self.value, bytes)
|
||||
return hex_string(bytes_to_str(self.value))
|
||||
|
||||
|
||||
# other candidates here: https://docs.microsoft.com/en-us/windows/win32/debug/pe-format#machine-types
|
||||
ARCH_I386 = "i386"
|
||||
ARCH_AMD64 = "amd64"
|
||||
# dotnet
|
||||
ARCH_ANY = "any"
|
||||
VALID_ARCH = (ARCH_I386, ARCH_AMD64, ARCH_ANY)
|
||||
|
||||
|
||||
class Arch(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.name = "arch"
|
||||
|
||||
|
||||
OS_WINDOWS = "windows"
|
||||
OS_LINUX = "linux"
|
||||
OS_MACOS = "macos"
|
||||
# dotnet
|
||||
OS_ANY = "any"
|
||||
VALID_OS = {os.value for os in capa.features.extractors.elf.OS}
|
||||
VALID_OS.update({OS_WINDOWS, OS_LINUX, OS_MACOS, OS_ANY})
|
||||
|
||||
|
||||
class OS(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.name = "os"
|
||||
|
||||
|
||||
FORMAT_PE = "pe"
|
||||
FORMAT_ELF = "elf"
|
||||
FORMAT_DOTNET = "dotnet"
|
||||
VALID_FORMAT = (FORMAT_PE, FORMAT_ELF, FORMAT_DOTNET)
|
||||
# internal only, not to be used in rules
|
||||
FORMAT_AUTO = "auto"
|
||||
FORMAT_SC32 = "sc32"
|
||||
FORMAT_SC64 = "sc64"
|
||||
FORMAT_FREEZE = "freeze"
|
||||
FORMAT_UNKNOWN = "unknown"
|
||||
|
||||
|
||||
class Format(Feature):
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.name = "format"
|
||||
|
||||
|
||||
def is_global_feature(feature):
|
||||
"""
|
||||
is this a feature that is extracted at every scope?
|
||||
today, these are OS and arch features.
|
||||
"""
|
||||
return isinstance(feature, (OS, Arch))
|
||||
@@ -1,286 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import abc
|
||||
|
||||
|
||||
class FeatureExtractor(object):
|
||||
"""
|
||||
FeatureExtractor defines the interface for fetching features from a sample.
|
||||
|
||||
There may be multiple backends that support fetching features for capa.
|
||||
For example, we use vivisect by default, but also want to support saving
|
||||
and restoring features from a JSON file.
|
||||
When we restore the features, we'd like to use exactly the same matching logic
|
||||
to find matching rules.
|
||||
Therefore, we can define a FeatureExtractor that provides features from the
|
||||
serialized JSON file and do matching without a binary analysis pass.
|
||||
Also, this provides a way to hook in an IDA backend.
|
||||
|
||||
This class is not instantiated directly; it is the base class for other implementations.
|
||||
"""
|
||||
|
||||
__metaclass__ = abc.ABCMeta
|
||||
|
||||
def __init__(self):
|
||||
#
|
||||
# note: a subclass should define ctor parameters for its own use.
|
||||
# for example, the Vivisect feature extract might require the vw and/or path.
|
||||
# this base class doesn't know what to do with that info, though.
|
||||
#
|
||||
super(FeatureExtractor, self).__init__()
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_base_address(self):
|
||||
"""
|
||||
fetch the preferred load address at which the sample was analyzed.
|
||||
|
||||
returns: int
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_file_features(self):
|
||||
"""
|
||||
extract file-scope features.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for feature, va in extractor.get_file_features():
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
yields:
|
||||
Tuple[capa.features.Feature, int]: feature and its location
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_functions(self):
|
||||
"""
|
||||
enumerate the functions and provide opaque values that will
|
||||
subsequently be provided to `.extract_function_features()`, etc.
|
||||
|
||||
by "opaque value", we mean that this can be any object, as long as it
|
||||
provides enough context to `.extract_function_features()`.
|
||||
|
||||
the opaque value should support casting to int (`__int__`) for the function start address.
|
||||
|
||||
yields:
|
||||
any: the opaque function value.
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_function_features(self, f):
|
||||
"""
|
||||
extract function-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for feature, va in extractor.extract_function_features(function):
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
args:
|
||||
f [any]: an opaque value previously fetched from `.get_functions()`.
|
||||
|
||||
yields:
|
||||
Tuple[capa.features.Feature, int]: feature and its location
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_basic_blocks(self, f):
|
||||
"""
|
||||
enumerate the basic blocks in the given function and provide opaque values that will
|
||||
subsequently be provided to `.extract_basic_block_features()`, etc.
|
||||
|
||||
by "opaque value", we mean that this can be any object, as long as it
|
||||
provides enough context to `.extract_basic_block_features()`.
|
||||
|
||||
the opaque value should support casting to int (`__int__`) for the basic block start address.
|
||||
|
||||
yields:
|
||||
any: the opaque basic block value.
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
"""
|
||||
extract basic block-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for bb in extractor.get_basic_blocks(function):
|
||||
for feature, va in extractor.extract_basic_block_features(function, bb):
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
args:
|
||||
f [any]: an opaque value previously fetched from `.get_functions()`.
|
||||
bb [any]: an opaque value previously fetched from `.get_basic_blocks()`.
|
||||
|
||||
yields:
|
||||
Tuple[capa.features.Feature, int]: feature and its location
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_instructions(self, f, bb):
|
||||
"""
|
||||
enumerate the instructions in the given basic block and provide opaque values that will
|
||||
subsequently be provided to `.extract_insn_features()`, etc.
|
||||
|
||||
by "opaque value", we mean that this can be any object, as long as it
|
||||
provides enough context to `.extract_insn_features()`.
|
||||
|
||||
the opaque value should support casting to int (`__int__`) for the instruction address.
|
||||
|
||||
yields:
|
||||
any: the opaque function value.
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
"""
|
||||
extract instruction-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for bb in extractor.get_basic_blocks(function):
|
||||
for insn in extractor.get_instructions(function, bb):
|
||||
for feature, va in extractor.extract_insn_features(function, bb, insn):
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
args:
|
||||
f [any]: an opaque value previously fetched from `.get_functions()`.
|
||||
bb [any]: an opaque value previously fetched from `.get_basic_blocks()`.
|
||||
insn [any]: an opaque value previously fetched from `.get_instructions()`.
|
||||
|
||||
yields:
|
||||
Tuple[capa.features.Feature, int]: feature and its location
|
||||
"""
|
||||
raise NotImplemented
|
||||
|
||||
|
||||
class NullFeatureExtractor(FeatureExtractor):
|
||||
"""
|
||||
An extractor that extracts some user-provided features.
|
||||
The structure of the single parameter is demonstrated in the example below.
|
||||
|
||||
This is useful for testing, as we can provide expected values and see if matching works.
|
||||
Also, this is how we represent features deserialized from a freeze file.
|
||||
|
||||
example::
|
||||
|
||||
extractor = NullFeatureExtractor({
|
||||
'base address: 0x401000,
|
||||
'file features': [
|
||||
(0x402345, capa.features.Characteristic('embedded pe')),
|
||||
],
|
||||
'functions': {
|
||||
0x401000: {
|
||||
'features': [
|
||||
(0x401000, capa.features.Characteristic('nzxor')),
|
||||
],
|
||||
'basic blocks': {
|
||||
0x401000: {
|
||||
'features': [
|
||||
(0x401000, capa.features.Characteristic('tight-loop')),
|
||||
],
|
||||
'instructions': {
|
||||
0x401000: {
|
||||
'features': [
|
||||
(0x401000, capa.features.Characteristic('nzxor')),
|
||||
],
|
||||
},
|
||||
0x401002: ...
|
||||
}
|
||||
},
|
||||
0x401005: ...
|
||||
}
|
||||
},
|
||||
0x40200: ...
|
||||
}
|
||||
)
|
||||
"""
|
||||
|
||||
def __init__(self, features):
|
||||
super(NullFeatureExtractor, self).__init__()
|
||||
self.features = features
|
||||
|
||||
def get_base_address(self):
|
||||
return self.features["base address"]
|
||||
|
||||
def extract_file_features(self):
|
||||
for p in self.features.get("file features", []):
|
||||
va, feature = p
|
||||
yield feature, va
|
||||
|
||||
def get_functions(self):
|
||||
for va in sorted(self.features["functions"].keys()):
|
||||
yield va
|
||||
|
||||
def extract_function_features(self, f):
|
||||
for p in self.features.get("functions", {}).get(f, {}).get("features", []): # noqa: E127 line over-indented
|
||||
va, feature = p
|
||||
yield feature, va
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
for va in sorted(
|
||||
self.features.get("functions", {}) # noqa: E127 line over-indented
|
||||
.get(f, {})
|
||||
.get("basic blocks", {})
|
||||
.keys()
|
||||
):
|
||||
yield va
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
for p in (
|
||||
self.features.get("functions", {}) # noqa: E127 line over-indented
|
||||
.get(f, {})
|
||||
.get("basic blocks", {})
|
||||
.get(bb, {})
|
||||
.get("features", [])
|
||||
):
|
||||
va, feature = p
|
||||
yield feature, va
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
for va in sorted(
|
||||
self.features.get("functions", {}) # noqa: E127 line over-indented
|
||||
.get(f, {})
|
||||
.get("basic blocks", {})
|
||||
.get(bb, {})
|
||||
.get("instructions", {})
|
||||
.keys()
|
||||
):
|
||||
yield va
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
for p in (
|
||||
self.features.get("functions", {}) # noqa: E127 line over-indented
|
||||
.get(f, {})
|
||||
.get("basic blocks", {})
|
||||
.get(bb, {})
|
||||
.get("instructions", {})
|
||||
.get(insn, {})
|
||||
.get("features", [])
|
||||
):
|
||||
va, feature = p
|
||||
yield feature, va
|
||||
|
||||
264
capa/features/extractors/base_extractor.py
Normal file
264
capa/features/extractors/base_extractor.py
Normal file
@@ -0,0 +1,264 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import abc
|
||||
import dataclasses
|
||||
from typing import Any, Dict, Tuple, Union, Iterator
|
||||
from dataclasses import dataclass
|
||||
|
||||
import capa.features.address
|
||||
from capa.features.common import Feature
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
|
||||
# feature extractors may reference functions, BBs, insns by opaque handle values.
|
||||
# you can use the `.address` property to get and render the address of the feature.
|
||||
#
|
||||
# these handles are only consumed by routines on
|
||||
# the feature extractor from which they were created.
|
||||
|
||||
|
||||
@dataclass
|
||||
class FunctionHandle:
|
||||
"""reference to a function recognized by a feature extractor.
|
||||
|
||||
Attributes:
|
||||
address: the address of the function.
|
||||
inner: extractor-specific data.
|
||||
ctx: a context object for the extractor.
|
||||
"""
|
||||
|
||||
address: Address
|
||||
inner: Any
|
||||
ctx: Dict[str, Any] = dataclasses.field(default_factory=dict)
|
||||
|
||||
|
||||
@dataclass
|
||||
class BBHandle:
|
||||
"""reference to a basic block recognized by a feature extractor.
|
||||
|
||||
Attributes:
|
||||
address: the address of the basic block start address.
|
||||
inner: extractor-specific data.
|
||||
"""
|
||||
|
||||
address: Address
|
||||
inner: Any
|
||||
|
||||
|
||||
@dataclass
|
||||
class InsnHandle:
|
||||
"""reference to a instruction recognized by a feature extractor.
|
||||
|
||||
Attributes:
|
||||
address: the address of the instruction address.
|
||||
inner: extractor-specific data.
|
||||
"""
|
||||
|
||||
address: Address
|
||||
inner: Any
|
||||
|
||||
|
||||
class FeatureExtractor:
|
||||
"""
|
||||
FeatureExtractor defines the interface for fetching features from a sample.
|
||||
|
||||
There may be multiple backends that support fetching features for capa.
|
||||
For example, we use vivisect by default, but also want to support saving
|
||||
and restoring features from a JSON file.
|
||||
When we restore the features, we'd like to use exactly the same matching logic
|
||||
to find matching rules.
|
||||
Therefore, we can define a FeatureExtractor that provides features from the
|
||||
serialized JSON file and do matching without a binary analysis pass.
|
||||
Also, this provides a way to hook in an IDA backend.
|
||||
|
||||
This class is not instantiated directly; it is the base class for other implementations.
|
||||
"""
|
||||
|
||||
__metaclass__ = abc.ABCMeta
|
||||
|
||||
def __init__(self):
|
||||
#
|
||||
# note: a subclass should define ctor parameters for its own use.
|
||||
# for example, the Vivisect feature extract might require the vw and/or path.
|
||||
# this base class doesn't know what to do with that info, though.
|
||||
#
|
||||
super().__init__()
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_base_address(self) -> Union[AbsoluteVirtualAddress, capa.features.address._NoAddress]:
|
||||
"""
|
||||
fetch the preferred load address at which the sample was analyzed.
|
||||
|
||||
when the base address is `NO_ADDRESS`, then the loader has no concept of a preferred load address.
|
||||
such as: shellcode, .NET modules, etc.
|
||||
in these scenarios, RelativeVirtualAddresses aren't used.
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_global_features(self) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract features found at every scope ("global").
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for feature, va in extractor.get_global_features():
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
yields:
|
||||
Tuple[Feature, Address]: feature and its location
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_file_features(self) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract file-scope features.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for feature, va in extractor.get_file_features():
|
||||
print('0x%x: %s', va, feature)
|
||||
|
||||
yields:
|
||||
Tuple[Feature, Address]: feature and its location
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_functions(self) -> Iterator[FunctionHandle]:
|
||||
"""
|
||||
enumerate the functions and provide opaque values that will
|
||||
subsequently be provided to `.extract_function_features()`, etc.
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
def is_library_function(self, addr: Address) -> bool:
|
||||
"""
|
||||
is the given address a library function?
|
||||
the backend may implement its own function matching algorithm, or none at all.
|
||||
we accept an address here, rather than function object,
|
||||
to handle addresses identified in instructions.
|
||||
|
||||
this information is used to:
|
||||
- filter out matches in library functions (by default), and
|
||||
- recognize when to fetch symbol names for called (non-API) functions
|
||||
|
||||
args:
|
||||
addr (Address): the address of a function.
|
||||
|
||||
returns:
|
||||
bool: True if the given address is the start of a library function.
|
||||
"""
|
||||
return False
|
||||
|
||||
def get_function_name(self, addr: Address) -> str:
|
||||
"""
|
||||
fetch any recognized name for the given address.
|
||||
this is only guaranteed to return a value when the given function is a recognized library function.
|
||||
we accept a VA here, rather than function object, to handle addresses identified in instructions.
|
||||
|
||||
args:
|
||||
addr (Address): the address of a function.
|
||||
|
||||
returns:
|
||||
str: the function name
|
||||
|
||||
raises:
|
||||
KeyError: when the given function does not have a name.
|
||||
"""
|
||||
raise KeyError(addr)
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_function_features(self, f: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract function-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for feature, address in extractor.extract_function_features(function):
|
||||
print('0x%x: %s', address, feature)
|
||||
|
||||
args:
|
||||
f [FunctionHandle]: an opaque value previously fetched from `.get_functions()`.
|
||||
|
||||
yields:
|
||||
Tuple[Feature, Address]: feature and its location
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_basic_blocks(self, f: FunctionHandle) -> Iterator[BBHandle]:
|
||||
"""
|
||||
enumerate the basic blocks in the given function and provide opaque values that will
|
||||
subsequently be provided to `.extract_basic_block_features()`, etc.
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_basic_block_features(self, f: FunctionHandle, bb: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract basic block-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for bb in extractor.get_basic_blocks(function):
|
||||
for feature, address in extractor.extract_basic_block_features(function, bb):
|
||||
print('0x%x: %s', address, feature)
|
||||
|
||||
args:
|
||||
f [FunctionHandle]: an opaque value previously fetched from `.get_functions()`.
|
||||
bb [BBHandle]: an opaque value previously fetched from `.get_basic_blocks()`.
|
||||
|
||||
yields:
|
||||
Tuple[Feature, Address]: feature and its location
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def get_instructions(self, f: FunctionHandle, bb: BBHandle) -> Iterator[InsnHandle]:
|
||||
"""
|
||||
enumerate the instructions in the given basic block and provide opaque values that will
|
||||
subsequently be provided to `.extract_insn_features()`, etc.
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
|
||||
@abc.abstractmethod
|
||||
def extract_insn_features(
|
||||
self, f: FunctionHandle, bb: BBHandle, insn: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract instruction-scope features.
|
||||
the arguments are opaque values previously provided by `.get_functions()`, etc.
|
||||
|
||||
example::
|
||||
|
||||
extractor = VivisectFeatureExtractor(vw, path)
|
||||
for function in extractor.get_functions():
|
||||
for bb in extractor.get_basic_blocks(function):
|
||||
for insn in extractor.get_instructions(function, bb):
|
||||
for feature, address in extractor.extract_insn_features(function, bb, insn):
|
||||
print('0x%x: %s', address, feature)
|
||||
|
||||
args:
|
||||
f [FunctionHandle]: an opaque value previously fetched from `.get_functions()`.
|
||||
bb [BBHandle]: an opaque value previously fetched from `.get_basic_blocks()`.
|
||||
insn [InsnHandle]: an opaque value previously fetched from `.get_instructions()`.
|
||||
|
||||
yields:
|
||||
Tuple[Feature, Address]: feature and its location
|
||||
"""
|
||||
raise NotImplementedError()
|
||||
101
capa/features/extractors/common.py
Normal file
101
capa/features/extractors/common.py
Normal file
@@ -0,0 +1,101 @@
|
||||
import io
|
||||
import logging
|
||||
import binascii
|
||||
import contextlib
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import pefile
|
||||
|
||||
import capa.features
|
||||
import capa.features.extractors.elf
|
||||
import capa.features.extractors.pefile
|
||||
import capa.features.extractors.strings
|
||||
from capa.features.common import OS, FORMAT_PE, FORMAT_ELF, OS_WINDOWS, FORMAT_FREEZE, Arch, Format, String, Feature
|
||||
from capa.features.freeze import is_freeze
|
||||
from capa.features.address import NO_ADDRESS, Address, FileOffsetAddress
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_file_strings(buf, **kwargs) -> Iterator[Tuple[String, Address]]:
|
||||
"""
|
||||
extract ASCII and UTF-16 LE strings from file
|
||||
"""
|
||||
for s in capa.features.extractors.strings.extract_ascii_strings(buf):
|
||||
yield String(s.s), FileOffsetAddress(s.offset)
|
||||
|
||||
for s in capa.features.extractors.strings.extract_unicode_strings(buf):
|
||||
yield String(s.s), FileOffsetAddress(s.offset)
|
||||
|
||||
|
||||
def extract_format(buf) -> Iterator[Tuple[Feature, Address]]:
|
||||
if buf.startswith(b"MZ"):
|
||||
yield Format(FORMAT_PE), NO_ADDRESS
|
||||
elif buf.startswith(b"\x7fELF"):
|
||||
yield Format(FORMAT_ELF), NO_ADDRESS
|
||||
elif is_freeze(buf):
|
||||
yield Format(FORMAT_FREEZE), NO_ADDRESS
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling a file format (e.g. macho)
|
||||
#
|
||||
# for (1), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported file format: %s", binascii.hexlify(buf[:4]).decode("ascii"))
|
||||
return
|
||||
|
||||
|
||||
def extract_arch(buf) -> Iterator[Tuple[Feature, Address]]:
|
||||
if buf.startswith(b"MZ"):
|
||||
yield from capa.features.extractors.pefile.extract_file_arch(pe=pefile.PE(data=buf))
|
||||
|
||||
elif buf.startswith(b"\x7fELF"):
|
||||
with contextlib.closing(io.BytesIO(buf)) as f:
|
||||
arch = capa.features.extractors.elf.detect_elf_arch(f)
|
||||
|
||||
if arch not in capa.features.common.VALID_ARCH:
|
||||
logger.debug("unsupported arch: %s", arch)
|
||||
return
|
||||
|
||||
yield Arch(arch), NO_ADDRESS
|
||||
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling shellcode, or
|
||||
# 2. handling a new file format (e.g. macho)
|
||||
#
|
||||
# for (1) we can't do much - its shellcode and all bets are off.
|
||||
# we could maybe accept a further CLI argument to specify the arch,
|
||||
# but i think this would be rarely used.
|
||||
# rules that rely on arch conditions will fail to match on shellcode.
|
||||
#
|
||||
# for (2), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported file format: %s, will not guess Arch", binascii.hexlify(buf[:4]).decode("ascii"))
|
||||
return
|
||||
|
||||
|
||||
def extract_os(buf) -> Iterator[Tuple[Feature, Address]]:
|
||||
if buf.startswith(b"MZ"):
|
||||
yield OS(OS_WINDOWS), NO_ADDRESS
|
||||
elif buf.startswith(b"\x7fELF"):
|
||||
with contextlib.closing(io.BytesIO(buf)) as f:
|
||||
os = capa.features.extractors.elf.detect_elf_os(f)
|
||||
|
||||
if os not in capa.features.common.VALID_OS:
|
||||
logger.debug("unsupported os: %s", os)
|
||||
return
|
||||
|
||||
yield OS(os), NO_ADDRESS
|
||||
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling shellcode, or
|
||||
# 2. handling a new file format (e.g. macho)
|
||||
#
|
||||
# for (1) we can't do much - its shellcode and all bets are off.
|
||||
# we could maybe accept a further CLI argument to specify the OS,
|
||||
# but i think this would be rarely used.
|
||||
# rules that rely on OS conditions will fail to match on shellcode.
|
||||
#
|
||||
# for (2), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported file format: %s, will not guess OS", binascii.hexlify(buf[:4]).decode("ascii"))
|
||||
return
|
||||
0
capa/features/extractors/dnfile/__init__.py
Normal file
0
capa/features/extractors/dnfile/__init__.py
Normal file
154
capa/features/extractors/dnfile/extractor.py
Normal file
154
capa/features/extractors/dnfile/extractor.py
Normal file
@@ -0,0 +1,154 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Dict, List, Tuple, Union, Iterator, Optional
|
||||
|
||||
import dnfile
|
||||
from dncil.cil.opcode import OpCodes
|
||||
|
||||
import capa.features.extractors
|
||||
import capa.features.extractors.dotnetfile
|
||||
import capa.features.extractors.dnfile.file
|
||||
import capa.features.extractors.dnfile.insn
|
||||
import capa.features.extractors.dnfile.function
|
||||
from capa.features.common import Feature
|
||||
from capa.features.address import NO_ADDRESS, Address, DNTokenAddress, DNTokenOffsetAddress
|
||||
from capa.features.extractors.dnfile.types import DnType, DnUnmanagedMethod
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle, FeatureExtractor
|
||||
from capa.features.extractors.dnfile.helpers import (
|
||||
get_dotnet_types,
|
||||
get_dotnet_fields,
|
||||
get_dotnet_managed_imports,
|
||||
get_dotnet_managed_methods,
|
||||
get_dotnet_unmanaged_imports,
|
||||
get_dotnet_managed_method_bodies,
|
||||
)
|
||||
|
||||
|
||||
class DnFileFeatureExtractorCache:
|
||||
def __init__(self, pe: dnfile.dnPE):
|
||||
self.imports: Dict[int, Union[DnType, DnUnmanagedMethod]] = {}
|
||||
self.native_imports: Dict[int, Union[DnType, DnUnmanagedMethod]] = {}
|
||||
self.methods: Dict[int, Union[DnType, DnUnmanagedMethod]] = {}
|
||||
self.fields: Dict[int, Union[DnType, DnUnmanagedMethod]] = {}
|
||||
self.types: Dict[int, Union[DnType, DnUnmanagedMethod]] = {}
|
||||
|
||||
for import_ in get_dotnet_managed_imports(pe):
|
||||
self.imports[import_.token] = import_
|
||||
for native_import in get_dotnet_unmanaged_imports(pe):
|
||||
self.native_imports[native_import.token] = native_import
|
||||
for method in get_dotnet_managed_methods(pe):
|
||||
self.methods[method.token] = method
|
||||
for field in get_dotnet_fields(pe):
|
||||
self.fields[field.token] = field
|
||||
for type_ in get_dotnet_types(pe):
|
||||
self.types[type_.token] = type_
|
||||
|
||||
def get_import(self, token: int) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
return self.imports.get(token, None)
|
||||
|
||||
def get_native_import(self, token: int) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
return self.native_imports.get(token, None)
|
||||
|
||||
def get_method(self, token: int) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
return self.methods.get(token, None)
|
||||
|
||||
def get_field(self, token: int) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
return self.fields.get(token, None)
|
||||
|
||||
def get_type(self, token: int) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
return self.types.get(token, None)
|
||||
|
||||
|
||||
class DnfileFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, path: str):
|
||||
super().__init__()
|
||||
self.pe: dnfile.dnPE = dnfile.dnPE(path)
|
||||
|
||||
# pre-compute .NET token lookup tables; each .NET method has access to this cache for feature extraction
|
||||
# most relevant at instruction scope
|
||||
self.token_cache: DnFileFeatureExtractorCache = DnFileFeatureExtractorCache(self.pe)
|
||||
|
||||
# pre-compute these because we'll yield them at *every* scope.
|
||||
self.global_features: List[Tuple[Feature, Address]] = []
|
||||
self.global_features.extend(capa.features.extractors.dotnetfile.extract_file_format())
|
||||
self.global_features.extend(capa.features.extractors.dotnetfile.extract_file_os(pe=self.pe))
|
||||
self.global_features.extend(capa.features.extractors.dotnetfile.extract_file_arch(pe=self.pe))
|
||||
|
||||
def get_base_address(self):
|
||||
return NO_ADDRESS
|
||||
|
||||
def extract_global_features(self):
|
||||
yield from self.global_features
|
||||
|
||||
def extract_file_features(self):
|
||||
yield from capa.features.extractors.dnfile.file.extract_features(self.pe)
|
||||
|
||||
def get_functions(self) -> Iterator[FunctionHandle]:
|
||||
# create a method lookup table
|
||||
methods: Dict[Address, FunctionHandle] = {}
|
||||
for token, method in get_dotnet_managed_method_bodies(self.pe):
|
||||
fh: FunctionHandle = FunctionHandle(
|
||||
address=DNTokenAddress(token),
|
||||
inner=method,
|
||||
ctx={"pe": self.pe, "calls_from": set(), "calls_to": set(), "cache": self.token_cache},
|
||||
)
|
||||
|
||||
# method tokens should be unique
|
||||
assert fh.address not in methods.keys()
|
||||
methods[fh.address] = fh
|
||||
|
||||
# calculate unique calls to/from each method
|
||||
for fh in methods.values():
|
||||
for insn in fh.inner.instructions:
|
||||
if insn.opcode not in (
|
||||
OpCodes.Call,
|
||||
OpCodes.Callvirt,
|
||||
OpCodes.Jmp,
|
||||
OpCodes.Newobj,
|
||||
):
|
||||
continue
|
||||
|
||||
address: DNTokenAddress = DNTokenAddress(insn.operand.value)
|
||||
|
||||
# record call to destination method; note: we only consider MethodDef methods for destinations
|
||||
dest: Optional[FunctionHandle] = methods.get(address, None)
|
||||
if dest is not None:
|
||||
dest.ctx["calls_to"].add(fh.address)
|
||||
|
||||
# record call from source method; note: we record all unique calls from a MethodDef method, not just
|
||||
# those calls to other MethodDef methods e.g. calls to imported MemberRef methods
|
||||
fh.ctx["calls_from"].add(address)
|
||||
|
||||
yield from methods.values()
|
||||
|
||||
def extract_function_features(self, fh) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.dnfile.function.extract_features(fh)
|
||||
|
||||
def get_basic_blocks(self, f) -> Iterator[BBHandle]:
|
||||
# each dotnet method is considered 1 basic block
|
||||
yield BBHandle(
|
||||
address=f.address,
|
||||
inner=f.inner,
|
||||
)
|
||||
|
||||
def extract_basic_block_features(self, fh, bbh):
|
||||
# we don't support basic block features
|
||||
yield from []
|
||||
|
||||
def get_instructions(self, fh, bbh):
|
||||
for insn in bbh.inner.instructions:
|
||||
yield InsnHandle(
|
||||
address=DNTokenOffsetAddress(bbh.address, insn.offset - (fh.inner.offset + fh.inner.header_size)),
|
||||
inner=insn,
|
||||
)
|
||||
|
||||
def extract_insn_features(self, fh, bbh, ih) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.dnfile.insn.extract_features(fh, bbh, ih)
|
||||
63
capa/features/extractors/dnfile/file.py
Normal file
63
capa/features/extractors/dnfile/file.py
Normal file
@@ -0,0 +1,63 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import dnfile
|
||||
|
||||
import capa.features.extractors.dotnetfile
|
||||
from capa.features.file import Import, FunctionName
|
||||
from capa.features.common import Class, Format, String, Feature, Namespace, Characteristic
|
||||
from capa.features.address import Address
|
||||
|
||||
|
||||
def extract_file_import_names(pe: dnfile.dnPE) -> Iterator[Tuple[Import, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_import_names(pe=pe)
|
||||
|
||||
|
||||
def extract_file_format(pe: dnfile.dnPE) -> Iterator[Tuple[Format, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_format(pe=pe)
|
||||
|
||||
|
||||
def extract_file_function_names(pe: dnfile.dnPE) -> Iterator[Tuple[FunctionName, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_function_names(pe=pe)
|
||||
|
||||
|
||||
def extract_file_strings(pe: dnfile.dnPE) -> Iterator[Tuple[String, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_strings(pe=pe)
|
||||
|
||||
|
||||
def extract_file_mixed_mode_characteristic_features(pe: dnfile.dnPE) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_mixed_mode_characteristic_features(pe=pe)
|
||||
|
||||
|
||||
def extract_file_namespace_features(pe: dnfile.dnPE) -> Iterator[Tuple[Namespace, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_namespace_features(pe=pe)
|
||||
|
||||
|
||||
def extract_file_class_features(pe: dnfile.dnPE) -> Iterator[Tuple[Class, Address]]:
|
||||
yield from capa.features.extractors.dotnetfile.extract_file_class_features(pe=pe)
|
||||
|
||||
|
||||
def extract_features(pe: dnfile.dnPE) -> Iterator[Tuple[Feature, Address]]:
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, address in file_handler(pe):
|
||||
yield feature, address
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
extract_file_import_names,
|
||||
extract_file_function_names,
|
||||
extract_file_strings,
|
||||
extract_file_format,
|
||||
extract_file_mixed_mode_characteristic_features,
|
||||
extract_file_namespace_features,
|
||||
extract_file_class_features,
|
||||
)
|
||||
50
capa/features/extractors/dnfile/function.py
Normal file
50
capa/features/extractors/dnfile/function.py
Normal file
@@ -0,0 +1,50 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
from capa.features.common import Feature, Characteristic
|
||||
from capa.features.address import Address
|
||||
from capa.features.extractors.base_extractor import FunctionHandle
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_function_calls_to(fh: FunctionHandle) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
"""extract callers to a function"""
|
||||
for dest in fh.ctx["calls_to"]:
|
||||
yield Characteristic("calls to"), dest
|
||||
|
||||
|
||||
def extract_function_calls_from(fh: FunctionHandle) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
"""extract callers from a function"""
|
||||
for src in fh.ctx["calls_from"]:
|
||||
yield Characteristic("calls from"), src
|
||||
|
||||
|
||||
def extract_recursive_call(fh: FunctionHandle) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
"""extract recursive function call"""
|
||||
if fh.address in fh.ctx["calls_to"]:
|
||||
yield Characteristic("recursive call"), fh.address
|
||||
|
||||
|
||||
def extract_function_loop(fh: FunctionHandle) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
"""extract loop indicators from a function"""
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
def extract_features(fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
for func_handler in FUNCTION_HANDLERS:
|
||||
for feature, addr in func_handler(fh):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FUNCTION_HANDLERS = (extract_function_calls_to, extract_function_calls_from, extract_recursive_call)
|
||||
335
capa/features/extractors/dnfile/helpers.py
Normal file
335
capa/features/extractors/dnfile/helpers.py
Normal file
@@ -0,0 +1,335 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import Dict, Tuple, Union, Iterator, Optional
|
||||
|
||||
import dnfile
|
||||
from dncil.cil.body import CilMethodBody
|
||||
from dncil.cil.error import MethodBodyFormatError
|
||||
from dncil.clr.token import Token, StringToken, InvalidToken
|
||||
from dncil.cil.body.reader import CilMethodBodyReaderBase
|
||||
|
||||
from capa.features.common import FeatureAccess
|
||||
from capa.features.extractors.dnfile.types import DnType, DnUnmanagedMethod
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class DnfileMethodBodyReader(CilMethodBodyReaderBase):
|
||||
def __init__(self, pe: dnfile.dnPE, row: dnfile.mdtable.MethodDefRow):
|
||||
self.pe: dnfile.dnPE = pe
|
||||
self.offset: int = self.pe.get_offset_from_rva(row.Rva)
|
||||
|
||||
def read(self, n: int) -> bytes:
|
||||
data: bytes = self.pe.get_data(self.pe.get_rva_from_offset(self.offset), n)
|
||||
self.offset += n
|
||||
return data
|
||||
|
||||
def tell(self) -> int:
|
||||
return self.offset
|
||||
|
||||
def seek(self, offset: int) -> int:
|
||||
self.offset = offset
|
||||
return self.offset
|
||||
|
||||
|
||||
def resolve_dotnet_token(pe: dnfile.dnPE, token: Token) -> Union[dnfile.base.MDTableRow, InvalidToken, str]:
|
||||
"""map generic token to string or table row"""
|
||||
assert pe.net is not None
|
||||
assert pe.net.mdtables is not None
|
||||
|
||||
if isinstance(token, StringToken):
|
||||
user_string: Optional[str] = read_dotnet_user_string(pe, token)
|
||||
if user_string is None:
|
||||
return InvalidToken(token.value)
|
||||
return user_string
|
||||
|
||||
table: Optional[dnfile.base.ClrMetaDataTable] = pe.net.mdtables.tables.get(token.table, None)
|
||||
if table is None:
|
||||
# table index is not valid
|
||||
return InvalidToken(token.value)
|
||||
|
||||
try:
|
||||
return table.rows[token.rid - 1]
|
||||
except IndexError:
|
||||
# table index is valid but row index is not valid
|
||||
return InvalidToken(token.value)
|
||||
|
||||
|
||||
def read_dotnet_method_body(pe: dnfile.dnPE, row: dnfile.mdtable.MethodDefRow) -> Optional[CilMethodBody]:
|
||||
"""read dotnet method body"""
|
||||
try:
|
||||
return CilMethodBody(DnfileMethodBodyReader(pe, row))
|
||||
except MethodBodyFormatError as e:
|
||||
logger.debug("failed to parse managed method body @ 0x%08x (%s)", row.Rva, e)
|
||||
return None
|
||||
|
||||
|
||||
def read_dotnet_user_string(pe: dnfile.dnPE, token: StringToken) -> Optional[str]:
|
||||
"""read user string from #US stream"""
|
||||
assert pe.net is not None
|
||||
|
||||
if pe.net.user_strings is None:
|
||||
# stream may not exist (seen in obfuscated .NET)
|
||||
logger.debug("#US stream does not exist for stream index 0x%08x", token.rid)
|
||||
return None
|
||||
|
||||
try:
|
||||
user_string: Optional[dnfile.stream.UserString] = pe.net.user_strings.get_us(token.rid)
|
||||
except UnicodeDecodeError as e:
|
||||
logger.debug("failed to decode #US stream index 0x%08x (%s)", token.rid, e)
|
||||
return None
|
||||
|
||||
if user_string is None:
|
||||
return None
|
||||
|
||||
return user_string.value
|
||||
|
||||
|
||||
def get_dotnet_managed_imports(pe: dnfile.dnPE) -> Iterator[DnType]:
|
||||
"""get managed imports from MemberRef table
|
||||
|
||||
see https://www.ntcore.com/files/dotnetformat.htm
|
||||
|
||||
10 - MemberRef Table
|
||||
Each row represents an imported method
|
||||
Class (index into the TypeRef, ModuleRef, MethodDef, TypeSpec or TypeDef tables)
|
||||
Name (index into String heap)
|
||||
01 - TypeRef Table
|
||||
Each row represents an imported class, its namespace and the assembly which contains it
|
||||
TypeName (index into String heap)
|
||||
TypeNamespace (index into String heap)
|
||||
"""
|
||||
for rid, member_ref in iter_dotnet_table(pe, dnfile.mdtable.MemberRef.number):
|
||||
assert isinstance(member_ref, dnfile.mdtable.MemberRefRow)
|
||||
|
||||
if not isinstance(member_ref.Class.row, dnfile.mdtable.TypeRefRow):
|
||||
# only process class imports from TypeRef table
|
||||
continue
|
||||
|
||||
token: int = calculate_dotnet_token_value(dnfile.mdtable.MemberRef.number, rid)
|
||||
access: Optional[str]
|
||||
|
||||
# assume .NET imports starting with get_/set_ are used to access a property
|
||||
if member_ref.Name.startswith("get_"):
|
||||
access = FeatureAccess.READ
|
||||
elif member_ref.Name.startswith("set_"):
|
||||
access = FeatureAccess.WRITE
|
||||
else:
|
||||
access = None
|
||||
|
||||
member_ref_name: str = member_ref.Name
|
||||
if member_ref_name.startswith(("get_", "set_")):
|
||||
# remove get_/set_ from MemberRef name
|
||||
member_ref_name = member_ref_name[4:]
|
||||
|
||||
yield DnType(
|
||||
token,
|
||||
member_ref.Class.row.TypeName,
|
||||
namespace=member_ref.Class.row.TypeNamespace,
|
||||
member=member_ref_name,
|
||||
access=access,
|
||||
)
|
||||
|
||||
|
||||
def get_dotnet_methoddef_property_accessors(pe: dnfile.dnPE) -> Iterator[Tuple[int, str]]:
|
||||
"""get MethodDef methods used to access properties
|
||||
|
||||
see https://www.ntcore.com/files/dotnetformat.htm
|
||||
|
||||
24 - MethodSemantics Table
|
||||
Links Events and Properties to specific methods. For example one Event can be associated to more methods. A property uses this table to associate get/set methods.
|
||||
Semantics (a 2-byte bitmask of type MethodSemanticsAttributes)
|
||||
Method (index into the MethodDef table)
|
||||
Association (index into the Event or Property table; more precisely, a HasSemantics coded index)
|
||||
"""
|
||||
for rid, method_semantics in iter_dotnet_table(pe, dnfile.mdtable.MethodSemantics.number):
|
||||
assert isinstance(method_semantics, dnfile.mdtable.MethodSemanticsRow)
|
||||
|
||||
if method_semantics.Association.row is None:
|
||||
logger.debug("MethodSemantics[0x%X] Association row is None", rid)
|
||||
continue
|
||||
|
||||
if isinstance(method_semantics.Association.row, dnfile.mdtable.EventRow):
|
||||
# ignore events
|
||||
logger.debug("MethodSemantics[0x%X] ignoring Event", rid)
|
||||
continue
|
||||
|
||||
if method_semantics.Method.table is None:
|
||||
logger.debug("MethodSemantics[0x%X] Method table is None", rid)
|
||||
continue
|
||||
|
||||
token: int = calculate_dotnet_token_value(
|
||||
method_semantics.Method.table.number, method_semantics.Method.row_index
|
||||
)
|
||||
|
||||
if method_semantics.Semantics.msSetter:
|
||||
yield token, FeatureAccess.WRITE
|
||||
elif method_semantics.Semantics.msGetter:
|
||||
yield token, FeatureAccess.READ
|
||||
|
||||
|
||||
def get_dotnet_managed_methods(pe: dnfile.dnPE) -> Iterator[DnType]:
|
||||
"""get managed method names from TypeDef table
|
||||
|
||||
see https://www.ntcore.com/files/dotnetformat.htm
|
||||
|
||||
02 - TypeDef Table
|
||||
Each row represents a class in the current assembly.
|
||||
TypeName (index into String heap)
|
||||
TypeNamespace (index into String heap)
|
||||
MethodList (index into MethodDef table; it marks the first of a contiguous run of Methods owned by this Type)
|
||||
"""
|
||||
accessor_map: Dict[int, str] = {}
|
||||
for methoddef, methoddef_access in get_dotnet_methoddef_property_accessors(pe):
|
||||
accessor_map[methoddef] = methoddef_access
|
||||
|
||||
for rid, typedef in iter_dotnet_table(pe, dnfile.mdtable.TypeDef.number):
|
||||
assert isinstance(typedef, dnfile.mdtable.TypeDefRow)
|
||||
|
||||
for idx, method in enumerate(typedef.MethodList):
|
||||
if method.table is None:
|
||||
logger.debug("TypeDef[0x%X] MethodList[0x%X] table is None", rid, idx)
|
||||
continue
|
||||
if method.row is None:
|
||||
logger.debug("TypeDef[0x%X] MethodList[0x%X] row is None", rid, idx)
|
||||
continue
|
||||
|
||||
token: int = calculate_dotnet_token_value(method.table.number, method.row_index)
|
||||
access: Optional[str] = accessor_map.get(token, None)
|
||||
|
||||
method_name: str = method.row.Name
|
||||
if method_name.startswith(("get_", "set_")):
|
||||
# remove get_/set_
|
||||
method_name = method_name[4:]
|
||||
|
||||
yield DnType(token, typedef.TypeName, namespace=typedef.TypeNamespace, member=method_name, access=access)
|
||||
|
||||
|
||||
def get_dotnet_fields(pe: dnfile.dnPE) -> Iterator[DnType]:
|
||||
"""get fields from TypeDef table
|
||||
|
||||
see https://www.ntcore.com/files/dotnetformat.htm
|
||||
|
||||
02 - TypeDef Table
|
||||
Each row represents a class in the current assembly.
|
||||
TypeName (index into String heap)
|
||||
TypeNamespace (index into String heap)
|
||||
FieldList (index into Field table; it marks the first of a contiguous run of Fields owned by this Type)
|
||||
"""
|
||||
for rid, typedef in iter_dotnet_table(pe, dnfile.mdtable.TypeDef.number):
|
||||
assert isinstance(typedef, dnfile.mdtable.TypeDefRow)
|
||||
|
||||
for idx, field in enumerate(typedef.FieldList):
|
||||
if field.table is None:
|
||||
logger.debug("TypeDef[0x%X] FieldList[0x%X] table is None", rid, idx)
|
||||
continue
|
||||
if field.row is None:
|
||||
logger.debug("TypeDef[0x%X] FieldList[0x%X] row is None", rid, idx)
|
||||
continue
|
||||
token: int = calculate_dotnet_token_value(field.table.number, field.row_index)
|
||||
yield DnType(token, typedef.TypeName, namespace=typedef.TypeNamespace, member=field.row.Name)
|
||||
|
||||
|
||||
def get_dotnet_managed_method_bodies(pe: dnfile.dnPE) -> Iterator[Tuple[int, CilMethodBody]]:
|
||||
"""get managed methods from MethodDef table"""
|
||||
for rid, method_def in iter_dotnet_table(pe, dnfile.mdtable.MethodDef.number):
|
||||
assert isinstance(method_def, dnfile.mdtable.MethodDefRow)
|
||||
|
||||
if not method_def.ImplFlags.miIL or any((method_def.Flags.mdAbstract, method_def.Flags.mdPinvokeImpl)):
|
||||
# skip methods that do not have a method body
|
||||
continue
|
||||
|
||||
body: Optional[CilMethodBody] = read_dotnet_method_body(pe, method_def)
|
||||
if body is None:
|
||||
logger.debug("MethodDef[0x%X] method body is None", rid)
|
||||
continue
|
||||
|
||||
token: int = calculate_dotnet_token_value(dnfile.mdtable.MethodDef.number, rid)
|
||||
yield token, body
|
||||
|
||||
|
||||
def get_dotnet_unmanaged_imports(pe: dnfile.dnPE) -> Iterator[DnUnmanagedMethod]:
|
||||
"""get unmanaged imports from ImplMap table
|
||||
|
||||
see https://www.ntcore.com/files/dotnetformat.htm
|
||||
|
||||
28 - ImplMap Table
|
||||
ImplMap table holds information about unmanaged methods that can be reached from managed code, using PInvoke dispatch
|
||||
MemberForwarded (index into the Field or MethodDef table; more precisely, a MemberForwarded coded index)
|
||||
ImportName (index into the String heap)
|
||||
ImportScope (index into the ModuleRef table)
|
||||
"""
|
||||
for rid, impl_map in iter_dotnet_table(pe, dnfile.mdtable.ImplMap.number):
|
||||
assert isinstance(impl_map, dnfile.mdtable.ImplMapRow)
|
||||
|
||||
module: str
|
||||
if impl_map.ImportScope.row is None:
|
||||
logger.debug("ImplMap[0x%X] ImportScope row is None", rid)
|
||||
module = ""
|
||||
else:
|
||||
module = impl_map.ImportScope.row.Name
|
||||
method: str = impl_map.ImportName
|
||||
|
||||
member_forward_table: int
|
||||
if impl_map.MemberForwarded.table is None:
|
||||
logger.debug("ImplMap[0x%X] MemberForwarded table is None", rid)
|
||||
continue
|
||||
else:
|
||||
member_forward_table = impl_map.MemberForwarded.table.number
|
||||
member_forward_row: int = impl_map.MemberForwarded.row_index
|
||||
|
||||
# ECMA says "Each row of the ImplMap table associates a row in the MethodDef table (MemberForwarded) with the
|
||||
# name of a routine (ImportName) in some unmanaged DLL (ImportScope)"; so we calculate and map the MemberForwarded
|
||||
# MethodDef table token to help us later record native import method calls made from CIL
|
||||
token: int = calculate_dotnet_token_value(member_forward_table, member_forward_row)
|
||||
|
||||
# like Kernel32.dll
|
||||
if module and "." in module:
|
||||
module = module.split(".")[0]
|
||||
|
||||
# like kernel32.CreateFileA
|
||||
yield DnUnmanagedMethod(token, module, method)
|
||||
|
||||
|
||||
def get_dotnet_types(pe: dnfile.dnPE) -> Iterator[DnType]:
|
||||
"""get .NET types from TypeDef and TypeRef tables"""
|
||||
for rid, typedef in iter_dotnet_table(pe, dnfile.mdtable.TypeDef.number):
|
||||
assert isinstance(typedef, dnfile.mdtable.TypeDefRow)
|
||||
|
||||
typedef_token: int = calculate_dotnet_token_value(dnfile.mdtable.TypeDef.number, rid)
|
||||
yield DnType(typedef_token, typedef.TypeName, namespace=typedef.TypeNamespace)
|
||||
|
||||
for rid, typeref in iter_dotnet_table(pe, dnfile.mdtable.TypeRef.number):
|
||||
assert isinstance(typeref, dnfile.mdtable.TypeRefRow)
|
||||
|
||||
typeref_token: int = calculate_dotnet_token_value(dnfile.mdtable.TypeRef.number, rid)
|
||||
yield DnType(typeref_token, typeref.TypeName, namespace=typeref.TypeNamespace)
|
||||
|
||||
|
||||
def calculate_dotnet_token_value(table: int, rid: int) -> int:
|
||||
return ((table & 0xFF) << Token.TABLE_SHIFT) | (rid & Token.RID_MASK)
|
||||
|
||||
|
||||
def is_dotnet_mixed_mode(pe: dnfile.dnPE) -> bool:
|
||||
assert pe.net is not None
|
||||
assert pe.net.Flags is not None
|
||||
|
||||
return not bool(pe.net.Flags.CLR_ILONLY)
|
||||
|
||||
|
||||
def iter_dotnet_table(pe: dnfile.dnPE, table_index: int) -> Iterator[Tuple[int, dnfile.base.MDTableRow]]:
|
||||
assert pe.net is not None
|
||||
assert pe.net.mdtables is not None
|
||||
|
||||
for rid, row in enumerate(pe.net.mdtables.tables.get(table_index, [])):
|
||||
# .NET tables are 1-indexed
|
||||
yield rid + 1, row
|
||||
227
capa/features/extractors/dnfile/insn.py
Normal file
227
capa/features/extractors/dnfile/insn.py
Normal file
@@ -0,0 +1,227 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import TYPE_CHECKING, Any, Dict, Tuple, Union, Iterator, Optional
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from capa.features.extractors.dnfile.extractor import DnFileFeatureExtractorCache
|
||||
|
||||
import dnfile
|
||||
from dncil.clr.token import Token, StringToken, InvalidToken
|
||||
from dncil.cil.opcode import OpCodes
|
||||
|
||||
import capa.features.extractors.helpers
|
||||
from capa.features.insn import API, Number, Property
|
||||
from capa.features.common import Class, String, Feature, Namespace, FeatureAccess, Characteristic
|
||||
from capa.features.address import Address
|
||||
from capa.features.extractors.dnfile.types import DnType, DnUnmanagedMethod
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle
|
||||
from capa.features.extractors.dnfile.helpers import (
|
||||
resolve_dotnet_token,
|
||||
read_dotnet_user_string,
|
||||
calculate_dotnet_token_value,
|
||||
)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def get_callee(
|
||||
pe: dnfile.dnPE, cache: DnFileFeatureExtractorCache, token: Token
|
||||
) -> Optional[Union[DnType, DnUnmanagedMethod]]:
|
||||
"""map .NET token to un/managed (generic) method"""
|
||||
token_: int
|
||||
if token.table == dnfile.mdtable.MethodSpec.number:
|
||||
# map MethodSpec to MethodDef or MemberRef
|
||||
row: Union[dnfile.base.MDTableRow, InvalidToken, str] = resolve_dotnet_token(pe, token)
|
||||
assert isinstance(row, dnfile.mdtable.MethodSpecRow)
|
||||
|
||||
if row.Method.table is None:
|
||||
logger.debug("MethodSpec[0x%X] Method table is None", token.rid)
|
||||
return None
|
||||
|
||||
token_ = calculate_dotnet_token_value(row.Method.table.number, row.Method.row_index)
|
||||
else:
|
||||
token_ = token.value
|
||||
|
||||
callee: Optional[Union[DnType, DnUnmanagedMethod]] = cache.get_import(token_)
|
||||
if callee is None:
|
||||
# we must check unmanaged imports before managed methods because we map forwarded managed methods
|
||||
# to their unmanaged imports; we prefer a forwarded managed method be mapped to its unmanaged import for analysis
|
||||
callee = cache.get_native_import(token_)
|
||||
if callee is None:
|
||||
callee = cache.get_method(token_)
|
||||
return callee
|
||||
|
||||
|
||||
def extract_insn_api_features(fh: FunctionHandle, bh, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction API features"""
|
||||
if ih.inner.opcode not in (
|
||||
OpCodes.Call,
|
||||
OpCodes.Callvirt,
|
||||
OpCodes.Jmp,
|
||||
OpCodes.Newobj,
|
||||
):
|
||||
return
|
||||
|
||||
callee: Optional[Union[DnType, DnUnmanagedMethod]] = get_callee(fh.ctx["pe"], fh.ctx["cache"], ih.inner.operand)
|
||||
if isinstance(callee, DnType):
|
||||
# ignore methods used to access properties
|
||||
if callee.access is None:
|
||||
# like System.IO.File::Delete
|
||||
yield API(str(callee)), ih.address
|
||||
elif isinstance(callee, DnUnmanagedMethod):
|
||||
# like kernel32.CreateFileA
|
||||
for name in capa.features.extractors.helpers.generate_symbols(callee.module, callee.method):
|
||||
yield API(name), ih.address
|
||||
|
||||
|
||||
def extract_insn_property_features(fh: FunctionHandle, bh, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction property features"""
|
||||
name: Optional[str] = None
|
||||
access: Optional[str] = None
|
||||
|
||||
if ih.inner.opcode in (OpCodes.Call, OpCodes.Callvirt, OpCodes.Jmp):
|
||||
# property access via MethodDef or MemberRef
|
||||
callee: Optional[Union[DnType, DnUnmanagedMethod]] = get_callee(fh.ctx["pe"], fh.ctx["cache"], ih.inner.operand)
|
||||
if isinstance(callee, DnType):
|
||||
if callee.access is not None:
|
||||
name = str(callee)
|
||||
access = callee.access
|
||||
|
||||
elif ih.inner.opcode in (OpCodes.Ldfld, OpCodes.Ldflda, OpCodes.Ldsfld, OpCodes.Ldsflda):
|
||||
# property read via Field
|
||||
read_field: Optional[Union[DnType, DnUnmanagedMethod]] = fh.ctx["cache"].get_field(ih.inner.operand.value)
|
||||
if read_field is not None:
|
||||
name = str(read_field)
|
||||
access = FeatureAccess.READ
|
||||
|
||||
elif ih.inner.opcode in (OpCodes.Stfld, OpCodes.Stsfld):
|
||||
# property write via Field
|
||||
write_field: Optional[Union[DnType, DnUnmanagedMethod]] = fh.ctx["cache"].get_field(ih.inner.operand.value)
|
||||
if write_field is not None:
|
||||
name = str(write_field)
|
||||
access = FeatureAccess.WRITE
|
||||
|
||||
if name is not None:
|
||||
if access is not None:
|
||||
yield Property(name, access=access), ih.address
|
||||
yield Property(name), ih.address
|
||||
|
||||
|
||||
def extract_insn_namespace_class_features(
|
||||
fh: FunctionHandle, bh, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Union[Namespace, Class], Address]]:
|
||||
"""parse instruction namespace and class features"""
|
||||
type_: Optional[Union[DnType, DnUnmanagedMethod]] = None
|
||||
|
||||
if ih.inner.opcode in (
|
||||
OpCodes.Call,
|
||||
OpCodes.Callvirt,
|
||||
OpCodes.Jmp,
|
||||
OpCodes.Ldvirtftn,
|
||||
OpCodes.Ldftn,
|
||||
OpCodes.Newobj,
|
||||
):
|
||||
# method call - includes managed methods (MethodDef, TypeRef) and properties (MethodSemantics, TypeRef)
|
||||
type_ = get_callee(fh.ctx["pe"], fh.ctx["cache"], ih.inner.operand)
|
||||
|
||||
elif ih.inner.opcode in (
|
||||
OpCodes.Ldfld,
|
||||
OpCodes.Ldflda,
|
||||
OpCodes.Ldsfld,
|
||||
OpCodes.Ldsflda,
|
||||
OpCodes.Stfld,
|
||||
OpCodes.Stsfld,
|
||||
):
|
||||
# field access
|
||||
type_ = fh.ctx["cache"].get_field(ih.inner.operand.value)
|
||||
|
||||
# ECMA 335 VI.C.4.10
|
||||
elif ih.inner.opcode in (
|
||||
OpCodes.Initobj,
|
||||
OpCodes.Box,
|
||||
OpCodes.Castclass,
|
||||
OpCodes.Cpobj,
|
||||
OpCodes.Isinst,
|
||||
OpCodes.Ldelem,
|
||||
OpCodes.Ldelema,
|
||||
OpCodes.Ldobj,
|
||||
OpCodes.Mkrefany,
|
||||
OpCodes.Newarr,
|
||||
OpCodes.Refanyval,
|
||||
OpCodes.Sizeof,
|
||||
OpCodes.Stobj,
|
||||
OpCodes.Unbox,
|
||||
OpCodes.Constrained,
|
||||
OpCodes.Stelem,
|
||||
OpCodes.Unbox_Any,
|
||||
):
|
||||
# type access
|
||||
type_ = fh.ctx["cache"].get_type(ih.inner.operand.value)
|
||||
|
||||
if isinstance(type_, DnType):
|
||||
yield Class(DnType.format_name(type_.class_, namespace=type_.namespace)), ih.address
|
||||
if type_.namespace:
|
||||
yield Namespace(type_.namespace), ih.address
|
||||
|
||||
|
||||
def extract_insn_number_features(fh, bh, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction number features"""
|
||||
if ih.inner.is_ldc():
|
||||
yield Number(ih.inner.get_ldc()), ih.address
|
||||
|
||||
|
||||
def extract_insn_string_features(fh: FunctionHandle, bh, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction string features"""
|
||||
if not ih.inner.is_ldstr():
|
||||
return
|
||||
|
||||
if not isinstance(ih.inner.operand, StringToken):
|
||||
return
|
||||
|
||||
user_string: Optional[str] = read_dotnet_user_string(fh.ctx["pe"], ih.inner.operand)
|
||||
if user_string is None:
|
||||
return
|
||||
|
||||
if len(user_string) >= 4:
|
||||
yield String(user_string), ih.address
|
||||
|
||||
|
||||
def extract_unmanaged_call_characteristic_features(
|
||||
fh: FunctionHandle, bb: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
if ih.inner.opcode not in (OpCodes.Call, OpCodes.Callvirt, OpCodes.Jmp):
|
||||
return
|
||||
|
||||
row: Union[str, InvalidToken, dnfile.base.MDTableRow] = resolve_dotnet_token(fh.ctx["pe"], ih.inner.operand)
|
||||
if not isinstance(row, dnfile.mdtable.MethodDefRow):
|
||||
return
|
||||
|
||||
if any((row.Flags.mdPinvokeImpl, row.ImplFlags.miUnmanaged, row.ImplFlags.miNative)):
|
||||
yield Characteristic("unmanaged call"), ih.address
|
||||
|
||||
|
||||
def extract_features(fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract instruction features"""
|
||||
for inst_handler in INSTRUCTION_HANDLERS:
|
||||
for feature, addr in inst_handler(fh, bbh, ih):
|
||||
assert isinstance(addr, Address)
|
||||
yield feature, addr
|
||||
|
||||
|
||||
INSTRUCTION_HANDLERS = (
|
||||
extract_insn_api_features,
|
||||
extract_insn_property_features,
|
||||
extract_insn_number_features,
|
||||
extract_insn_string_features,
|
||||
extract_insn_namespace_class_features,
|
||||
extract_unmanaged_call_characteristic_features,
|
||||
)
|
||||
75
capa/features/extractors/dnfile/types.py
Normal file
75
capa/features/extractors/dnfile/types.py
Normal file
@@ -0,0 +1,75 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from enum import Enum
|
||||
from typing import Union, Optional
|
||||
|
||||
|
||||
class DnType(object):
|
||||
def __init__(self, token: int, class_: str, namespace: str = "", member: str = "", access: Optional[str] = None):
|
||||
self.token: int = token
|
||||
self.access: Optional[str] = access
|
||||
self.namespace: str = namespace
|
||||
self.class_: str = class_
|
||||
|
||||
if member == ".ctor":
|
||||
member = "ctor"
|
||||
if member == ".cctor":
|
||||
member = "cctor"
|
||||
|
||||
self.member: str = member
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.token, self.access, self.namespace, self.class_, self.member))
|
||||
|
||||
def __eq__(self, other):
|
||||
return (
|
||||
self.token == other.token
|
||||
and self.access == other.access
|
||||
and self.namespace == other.namespace
|
||||
and self.class_ == other.class_
|
||||
and self.member == other.member
|
||||
)
|
||||
|
||||
def __str__(self):
|
||||
return DnType.format_name(self.class_, namespace=self.namespace, member=self.member)
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
@staticmethod
|
||||
def format_name(class_: str, namespace: str = "", member: str = ""):
|
||||
# like File::OpenRead
|
||||
name: str = f"{class_}::{member}" if member else class_
|
||||
if namespace:
|
||||
# like System.IO.File::OpenRead
|
||||
name = f"{namespace}.{name}"
|
||||
return name
|
||||
|
||||
|
||||
class DnUnmanagedMethod:
|
||||
def __init__(self, token: int, module: str, method: str):
|
||||
self.token: int = token
|
||||
self.module: str = module
|
||||
self.method: str = method
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.token, self.module, self.method))
|
||||
|
||||
def __eq__(self, other):
|
||||
return self.token == other.token and self.module == other.module and self.method == other.method
|
||||
|
||||
def __str__(self):
|
||||
return DnUnmanagedMethod.format_name(self.module, self.method)
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
@staticmethod
|
||||
def format_name(module, method):
|
||||
return f"{module}.{method}"
|
||||
150
capa/features/extractors/dnfile_.py
Normal file
150
capa/features/extractors/dnfile_.py
Normal file
@@ -0,0 +1,150 @@
|
||||
import logging
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import dnfile
|
||||
import pefile
|
||||
|
||||
from capa.features.common import (
|
||||
OS,
|
||||
OS_ANY,
|
||||
ARCH_ANY,
|
||||
ARCH_I386,
|
||||
FORMAT_PE,
|
||||
ARCH_AMD64,
|
||||
FORMAT_DOTNET,
|
||||
Arch,
|
||||
Format,
|
||||
Feature,
|
||||
)
|
||||
from capa.features.address import NO_ADDRESS, Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import FeatureExtractor
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_file_format(**kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield Format(FORMAT_PE), NO_ADDRESS
|
||||
yield Format(FORMAT_DOTNET), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_os(**kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield OS(OS_ANY), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_arch(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
# to distinguish in more detail, see https://stackoverflow.com/a/23614024/10548020
|
||||
# .NET 4.5 added option: any CPU, 32-bit preferred
|
||||
assert pe.net is not None
|
||||
assert pe.net.Flags is not None
|
||||
|
||||
if pe.net.Flags.CLR_32BITREQUIRED and pe.PE_TYPE == pefile.OPTIONAL_HEADER_MAGIC_PE:
|
||||
yield Arch(ARCH_I386), NO_ADDRESS
|
||||
elif not pe.net.Flags.CLR_32BITREQUIRED and pe.PE_TYPE == pefile.OPTIONAL_HEADER_MAGIC_PE_PLUS:
|
||||
yield Arch(ARCH_AMD64), NO_ADDRESS
|
||||
else:
|
||||
yield Arch(ARCH_ANY), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_features(pe: dnfile.dnPE) -> Iterator[Tuple[Feature, Address]]:
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, address in file_handler(pe=pe): # type: ignore
|
||||
yield feature, address
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
# extract_file_export_names,
|
||||
# extract_file_import_names,
|
||||
# extract_file_section_names,
|
||||
# extract_file_strings,
|
||||
# extract_file_function_names,
|
||||
extract_file_format,
|
||||
)
|
||||
|
||||
|
||||
def extract_global_features(pe: dnfile.dnPE) -> Iterator[Tuple[Feature, Address]]:
|
||||
for handler in GLOBAL_HANDLERS:
|
||||
for feature, addr in handler(pe=pe): # type: ignore
|
||||
yield feature, addr
|
||||
|
||||
|
||||
GLOBAL_HANDLERS = (
|
||||
extract_file_os,
|
||||
extract_file_arch,
|
||||
)
|
||||
|
||||
|
||||
class DnfileFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, path: str):
|
||||
super().__init__()
|
||||
self.path: str = path
|
||||
self.pe: dnfile.dnPE = dnfile.dnPE(path)
|
||||
|
||||
def get_base_address(self) -> AbsoluteVirtualAddress:
|
||||
return AbsoluteVirtualAddress(0x0)
|
||||
|
||||
def get_entry_point(self) -> int:
|
||||
# self.pe.net.Flags.CLT_NATIVE_ENTRYPOINT
|
||||
# True: native EP: Token
|
||||
# False: managed EP: RVA
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.struct is not None
|
||||
|
||||
return self.pe.net.struct.EntryPointTokenOrRva
|
||||
|
||||
def extract_global_features(self):
|
||||
yield from extract_global_features(self.pe)
|
||||
|
||||
def extract_file_features(self):
|
||||
yield from extract_file_features(self.pe)
|
||||
|
||||
def is_dotnet_file(self) -> bool:
|
||||
return bool(self.pe.net)
|
||||
|
||||
def is_mixed_mode(self) -> bool:
|
||||
assert self.pe is not None
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.Flags is not None
|
||||
|
||||
return not bool(self.pe.net.Flags.CLR_ILONLY)
|
||||
|
||||
def get_runtime_version(self) -> Tuple[int, int]:
|
||||
assert self.pe is not None
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.struct is not None
|
||||
|
||||
return self.pe.net.struct.MajorRuntimeVersion, self.pe.net.struct.MinorRuntimeVersion
|
||||
|
||||
def get_meta_version_string(self) -> str:
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.metadata is not None
|
||||
assert self.pe.net.metadata.struct is not None
|
||||
assert self.pe.net.metadata.struct.Version is not None
|
||||
|
||||
vbuf = self.pe.net.metadata.struct.Version
|
||||
assert isinstance(vbuf, bytes)
|
||||
|
||||
return vbuf.rstrip(b"\x00").decode("utf-8")
|
||||
|
||||
def get_functions(self):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_function_features(self, f):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def is_library_function(self, va):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_function_name(self, va):
|
||||
raise NotImplementedError("DnfileFeatureExtractor can only be used to extract file features")
|
||||
231
capa/features/extractors/dotnetfile.py
Normal file
231
capa/features/extractors/dotnetfile.py
Normal file
@@ -0,0 +1,231 @@
|
||||
import logging
|
||||
from typing import Tuple, Iterator, cast
|
||||
|
||||
import dnfile
|
||||
import pefile
|
||||
|
||||
import capa.features.extractors.helpers
|
||||
from capa.features.file import Import, FunctionName
|
||||
from capa.features.common import (
|
||||
OS,
|
||||
OS_ANY,
|
||||
ARCH_ANY,
|
||||
ARCH_I386,
|
||||
FORMAT_PE,
|
||||
ARCH_AMD64,
|
||||
FORMAT_DOTNET,
|
||||
Arch,
|
||||
Class,
|
||||
Format,
|
||||
String,
|
||||
Feature,
|
||||
Namespace,
|
||||
Characteristic,
|
||||
)
|
||||
from capa.features.address import NO_ADDRESS, Address, DNTokenAddress
|
||||
from capa.features.extractors.base_extractor import FeatureExtractor
|
||||
from capa.features.extractors.dnfile.helpers import (
|
||||
DnType,
|
||||
iter_dotnet_table,
|
||||
is_dotnet_mixed_mode,
|
||||
get_dotnet_managed_imports,
|
||||
get_dotnet_managed_methods,
|
||||
calculate_dotnet_token_value,
|
||||
get_dotnet_unmanaged_imports,
|
||||
)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_file_format(**kwargs) -> Iterator[Tuple[Format, Address]]:
|
||||
yield Format(FORMAT_PE), NO_ADDRESS
|
||||
yield Format(FORMAT_DOTNET), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_import_names(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[Import, Address]]:
|
||||
for method in get_dotnet_managed_imports(pe):
|
||||
# like System.IO.File::OpenRead
|
||||
yield Import(str(method)), DNTokenAddress(method.token)
|
||||
|
||||
for imp in get_dotnet_unmanaged_imports(pe):
|
||||
# like kernel32.CreateFileA
|
||||
for name in capa.features.extractors.helpers.generate_symbols(imp.module, imp.method):
|
||||
yield Import(name), DNTokenAddress(imp.token)
|
||||
|
||||
|
||||
def extract_file_function_names(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[FunctionName, Address]]:
|
||||
for method in get_dotnet_managed_methods(pe):
|
||||
yield FunctionName(str(method)), DNTokenAddress(method.token)
|
||||
|
||||
|
||||
def extract_file_namespace_features(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[Namespace, Address]]:
|
||||
"""emit namespace features from TypeRef and TypeDef tables"""
|
||||
|
||||
# namespaces may be referenced multiple times, so we need to filter
|
||||
namespaces = set()
|
||||
|
||||
for _, typedef in iter_dotnet_table(pe, dnfile.mdtable.TypeDef.number):
|
||||
# emit internal .NET namespaces
|
||||
assert isinstance(typedef, dnfile.mdtable.TypeDefRow)
|
||||
namespaces.add(typedef.TypeNamespace)
|
||||
|
||||
for _, typeref in iter_dotnet_table(pe, dnfile.mdtable.TypeRef.number):
|
||||
# emit external .NET namespaces
|
||||
assert isinstance(typeref, dnfile.mdtable.TypeRefRow)
|
||||
namespaces.add(typeref.TypeNamespace)
|
||||
|
||||
# namespaces may be empty, discard
|
||||
namespaces.discard("")
|
||||
|
||||
for namespace in namespaces:
|
||||
# namespace do not have an associated token, so we yield 0x0
|
||||
yield Namespace(namespace), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_class_features(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[Class, Address]]:
|
||||
"""emit class features from TypeRef and TypeDef tables"""
|
||||
for rid, typedef in iter_dotnet_table(pe, dnfile.mdtable.TypeDef.number):
|
||||
# emit internal .NET classes
|
||||
assert isinstance(typedef, dnfile.mdtable.TypeDefRow)
|
||||
|
||||
token = calculate_dotnet_token_value(dnfile.mdtable.TypeDef.number, rid)
|
||||
yield Class(DnType.format_name(typedef.TypeName, namespace=typedef.TypeNamespace)), DNTokenAddress(token)
|
||||
|
||||
for rid, typeref in iter_dotnet_table(pe, dnfile.mdtable.TypeRef.number):
|
||||
# emit external .NET classes
|
||||
assert isinstance(typeref, dnfile.mdtable.TypeRefRow)
|
||||
|
||||
token = calculate_dotnet_token_value(dnfile.mdtable.TypeRef.number, rid)
|
||||
yield Class(DnType.format_name(typeref.TypeName, namespace=typeref.TypeNamespace)), DNTokenAddress(token)
|
||||
|
||||
|
||||
def extract_file_os(**kwargs) -> Iterator[Tuple[OS, Address]]:
|
||||
yield OS(OS_ANY), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_arch(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[Arch, Address]]:
|
||||
# to distinguish in more detail, see https://stackoverflow.com/a/23614024/10548020
|
||||
# .NET 4.5 added option: any CPU, 32-bit preferred
|
||||
assert pe.net is not None
|
||||
assert pe.net.Flags is not None
|
||||
|
||||
if pe.net.Flags.CLR_32BITREQUIRED and pe.PE_TYPE == pefile.OPTIONAL_HEADER_MAGIC_PE:
|
||||
yield Arch(ARCH_I386), NO_ADDRESS
|
||||
elif not pe.net.Flags.CLR_32BITREQUIRED and pe.PE_TYPE == pefile.OPTIONAL_HEADER_MAGIC_PE_PLUS:
|
||||
yield Arch(ARCH_AMD64), NO_ADDRESS
|
||||
else:
|
||||
yield Arch(ARCH_ANY), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_strings(pe: dnfile.dnPE, **kwargs) -> Iterator[Tuple[String, Address]]:
|
||||
yield from capa.features.extractors.common.extract_file_strings(pe.__data__)
|
||||
|
||||
|
||||
def extract_file_mixed_mode_characteristic_features(
|
||||
pe: dnfile.dnPE, **kwargs
|
||||
) -> Iterator[Tuple[Characteristic, Address]]:
|
||||
if is_dotnet_mixed_mode(pe):
|
||||
yield Characteristic("mixed mode"), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_features(pe: dnfile.dnPE) -> Iterator[Tuple[Feature, Address]]:
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, addr in file_handler(pe=pe): # type: ignore
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
extract_file_import_names,
|
||||
extract_file_function_names,
|
||||
extract_file_strings,
|
||||
extract_file_format,
|
||||
extract_file_mixed_mode_characteristic_features,
|
||||
extract_file_namespace_features,
|
||||
extract_file_class_features,
|
||||
)
|
||||
|
||||
|
||||
def extract_global_features(pe: dnfile.dnPE) -> Iterator[Tuple[Feature, Address]]:
|
||||
for handler in GLOBAL_HANDLERS:
|
||||
for feature, va in handler(pe=pe): # type: ignore
|
||||
yield feature, va
|
||||
|
||||
|
||||
GLOBAL_HANDLERS = (
|
||||
extract_file_os,
|
||||
extract_file_arch,
|
||||
)
|
||||
|
||||
|
||||
class DotnetFileFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, path: str):
|
||||
super().__init__()
|
||||
self.path: str = path
|
||||
self.pe: dnfile.dnPE = dnfile.dnPE(path)
|
||||
|
||||
def get_base_address(self):
|
||||
return NO_ADDRESS
|
||||
|
||||
def get_entry_point(self) -> int:
|
||||
# self.pe.net.Flags.CLT_NATIVE_ENTRYPOINT
|
||||
# True: native EP: Token
|
||||
# False: managed EP: RVA
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.struct is not None
|
||||
|
||||
return self.pe.net.struct.EntryPointTokenOrRva
|
||||
|
||||
def extract_global_features(self):
|
||||
yield from extract_global_features(self.pe)
|
||||
|
||||
def extract_file_features(self):
|
||||
yield from extract_file_features(self.pe)
|
||||
|
||||
def is_dotnet_file(self) -> bool:
|
||||
return bool(self.pe.net)
|
||||
|
||||
def is_mixed_mode(self) -> bool:
|
||||
return is_dotnet_mixed_mode(self.pe)
|
||||
|
||||
def get_runtime_version(self) -> Tuple[int, int]:
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.struct is not None
|
||||
assert self.pe.net.struct.MajorRuntimeVersion is not None
|
||||
assert self.pe.net.struct.MinorRuntimeVersion is not None
|
||||
|
||||
return self.pe.net.struct.MajorRuntimeVersion, self.pe.net.struct.MinorRuntimeVersion
|
||||
|
||||
def get_meta_version_string(self) -> str:
|
||||
assert self.pe.net is not None
|
||||
assert self.pe.net.metadata is not None
|
||||
assert self.pe.net.metadata.struct is not None
|
||||
assert self.pe.net.metadata.struct.Version is not None
|
||||
|
||||
vbuf = self.pe.net.metadata.struct.Version
|
||||
assert isinstance(vbuf, bytes)
|
||||
|
||||
return vbuf.rstrip(b"\x00").decode("utf-8")
|
||||
|
||||
def get_functions(self):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_function_features(self, f):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def is_library_function(self, va):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_function_name(self, va):
|
||||
raise NotImplementedError("DotnetFileFeatureExtractor can only be used to extract file features")
|
||||
781
capa/features/extractors/elf.py
Normal file
781
capa/features/extractors/elf.py
Normal file
@@ -0,0 +1,781 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import struct
|
||||
import logging
|
||||
import itertools
|
||||
import collections
|
||||
from enum import Enum
|
||||
from typing import Set, Dict, List, Tuple, BinaryIO, Iterator, Optional
|
||||
from dataclasses import dataclass
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def align(v, alignment):
|
||||
remainder = v % alignment
|
||||
if remainder == 0:
|
||||
return v
|
||||
else:
|
||||
return v + (alignment - remainder)
|
||||
|
||||
|
||||
def read_cstr(buf, offset):
|
||||
s = buf[offset:]
|
||||
s, _, _ = s.partition(b"\x00")
|
||||
return s.decode("utf-8")
|
||||
|
||||
|
||||
class CorruptElfFile(ValueError):
|
||||
pass
|
||||
|
||||
|
||||
class OS(str, Enum):
|
||||
HPUX = "hpux"
|
||||
NETBSD = "netbsd"
|
||||
LINUX = "linux"
|
||||
HURD = "hurd"
|
||||
_86OPEN = "86open"
|
||||
SOLARIS = "solaris"
|
||||
AIX = "aix"
|
||||
IRIX = "irix"
|
||||
FREEBSD = "freebsd"
|
||||
TRU64 = "tru64"
|
||||
MODESTO = "modesto"
|
||||
OPENBSD = "openbsd"
|
||||
OPENVMS = "openvms"
|
||||
NSK = "nsk"
|
||||
AROS = "aros"
|
||||
FENIXOS = "fenixos"
|
||||
CLOUD = "cloud"
|
||||
SYLLABLE = "syllable"
|
||||
NACL = "nacl"
|
||||
|
||||
|
||||
# via readelf: https://github.com/bminor/binutils-gdb/blob/c0e94211e1ac05049a4ce7c192c9d14d1764eb3e/binutils/readelf.c#L19635-L19658
|
||||
# and here: https://github.com/bminor/binutils-gdb/blob/34c54daa337da9fadf87d2706d6a590ae1f88f4d/include/elf/common.h#L933-L939
|
||||
GNU_ABI_TAG = {
|
||||
0: OS.LINUX,
|
||||
1: OS.HURD,
|
||||
2: OS.SOLARIS,
|
||||
3: OS.FREEBSD,
|
||||
4: OS.NETBSD,
|
||||
5: OS.SYLLABLE,
|
||||
6: OS.NACL,
|
||||
}
|
||||
|
||||
|
||||
@dataclass
|
||||
class Phdr:
|
||||
type: int
|
||||
offset: int
|
||||
vaddr: int
|
||||
paddr: int
|
||||
filesz: int
|
||||
buf: bytes
|
||||
|
||||
|
||||
@dataclass
|
||||
class Shdr:
|
||||
name: int
|
||||
type: int
|
||||
flags: int
|
||||
addr: int
|
||||
offset: int
|
||||
size: int
|
||||
link: int
|
||||
buf: bytes
|
||||
|
||||
|
||||
class ELF:
|
||||
def __init__(self, f: BinaryIO):
|
||||
self.f = f
|
||||
|
||||
# these will all be initialized in `_parse()`
|
||||
self.bitness: int
|
||||
self.endian: str
|
||||
self.e_phentsize: int
|
||||
self.e_phnum: int
|
||||
self.e_shentsize: int
|
||||
self.e_shnum: int
|
||||
self.phbuf: bytes
|
||||
self.shbuf: bytes
|
||||
|
||||
self._parse()
|
||||
|
||||
def _parse(self):
|
||||
self.f.seek(0x0)
|
||||
self.file_header = self.f.read(0x40)
|
||||
|
||||
if not self.file_header.startswith(b"\x7fELF"):
|
||||
raise CorruptElfFile("missing magic header")
|
||||
|
||||
ei_class, ei_data = struct.unpack_from("BB", self.file_header, 4)
|
||||
logger.debug("ei_class: 0x%02x ei_data: 0x%02x", ei_class, ei_data)
|
||||
if ei_class == 1:
|
||||
self.bitness = 32
|
||||
elif ei_class == 2:
|
||||
self.bitness = 64
|
||||
else:
|
||||
raise CorruptElfFile("invalid ei_class: 0x%02x" % ei_class)
|
||||
|
||||
if ei_data == 1:
|
||||
self.endian = "<"
|
||||
elif ei_data == 2:
|
||||
self.endian = ">"
|
||||
else:
|
||||
raise CorruptElfFile("not an ELF file: invalid ei_data: 0x%02x" % ei_data)
|
||||
|
||||
if self.bitness == 32:
|
||||
e_phoff, e_shoff = struct.unpack_from(self.endian + "II", self.file_header, 0x1C)
|
||||
self.e_phentsize, self.e_phnum = struct.unpack_from(self.endian + "HH", self.file_header, 0x2A)
|
||||
self.e_shentsize, self.e_shnum = struct.unpack_from(self.endian + "HH", self.file_header, 0x2E)
|
||||
elif self.bitness == 64:
|
||||
e_phoff, e_shoff = struct.unpack_from(self.endian + "QQ", self.file_header, 0x20)
|
||||
self.e_phentsize, self.e_phnum = struct.unpack_from(self.endian + "HH", self.file_header, 0x36)
|
||||
self.e_shentsize, self.e_shnum = struct.unpack_from(self.endian + "HH", self.file_header, 0x3A)
|
||||
else:
|
||||
raise NotImplementedError()
|
||||
|
||||
logger.debug("e_phoff: 0x%02x e_phentsize: 0x%02x e_phnum: %d", e_phoff, self.e_phentsize, self.e_phnum)
|
||||
|
||||
self.f.seek(e_phoff)
|
||||
program_header_size = self.e_phnum * self.e_phentsize
|
||||
self.phbuf = self.f.read(program_header_size)
|
||||
if len(self.phbuf) != program_header_size:
|
||||
logger.warning("failed to read program headers")
|
||||
self.e_phnum = 0
|
||||
|
||||
self.f.seek(e_shoff)
|
||||
section_header_size = self.e_shnum * self.e_shentsize
|
||||
self.shbuf = self.f.read(section_header_size)
|
||||
if len(self.shbuf) != section_header_size:
|
||||
logger.warning("failed to read section headers")
|
||||
self.e_shnum = 0
|
||||
|
||||
OSABI = {
|
||||
# via pyelftools: https://github.com/eliben/pyelftools/blob/0664de05ed2db3d39041e2d51d19622a8ef4fb0f/elftools/elf/enums.py#L35-L58
|
||||
# some candidates are commented out because the are not useful values,
|
||||
# at least when guessing OSes
|
||||
# 0: "SYSV", # too often used when OS is not SYSV
|
||||
1: OS.HPUX,
|
||||
2: OS.NETBSD,
|
||||
3: OS.LINUX,
|
||||
4: OS.HURD,
|
||||
5: OS._86OPEN,
|
||||
6: OS.SOLARIS,
|
||||
7: OS.AIX,
|
||||
8: OS.IRIX,
|
||||
9: OS.FREEBSD,
|
||||
10: OS.TRU64,
|
||||
11: OS.MODESTO,
|
||||
12: OS.OPENBSD,
|
||||
13: OS.OPENVMS,
|
||||
14: OS.NSK,
|
||||
15: OS.AROS,
|
||||
16: OS.FENIXOS,
|
||||
17: OS.CLOUD,
|
||||
# 53: "SORTFIX", # i can't find any reference to this OS, i dont think it exists
|
||||
# 64: "ARM_AEABI", # not an OS
|
||||
# 97: "ARM", # not an OS
|
||||
# 255: "STANDALONE", # not an OS
|
||||
}
|
||||
|
||||
@property
|
||||
def ei_osabi(self) -> Optional[OS]:
|
||||
(ei_osabi,) = struct.unpack_from(self.endian + "B", self.file_header, 7)
|
||||
return ELF.OSABI.get(ei_osabi)
|
||||
|
||||
MACHINE = {
|
||||
# via https://refspecs.linuxfoundation.org/elf/gabi4+/ch4.eheader.html
|
||||
1: "M32",
|
||||
2: "SPARC",
|
||||
3: "i386",
|
||||
4: "68K",
|
||||
5: "88K",
|
||||
6: "486",
|
||||
7: "860",
|
||||
8: "MIPS",
|
||||
9: "S370",
|
||||
10: "MIPS_RS3_LE",
|
||||
11: "RS6000",
|
||||
15: "PA_RISC",
|
||||
16: "nCUBE",
|
||||
17: "VPP500",
|
||||
18: "SPARC32PLUS",
|
||||
19: "960",
|
||||
20: "PPC",
|
||||
21: "PPC64",
|
||||
22: "S390",
|
||||
23: "SPU",
|
||||
36: "V800",
|
||||
37: "FR20",
|
||||
38: "RH32",
|
||||
39: "RCE",
|
||||
40: "ARM",
|
||||
41: "ALPHA",
|
||||
42: "SH",
|
||||
43: "SPARCV9",
|
||||
44: "TRICORE",
|
||||
45: "ARC",
|
||||
46: "H8_300",
|
||||
47: "H8_300H",
|
||||
48: "H8S",
|
||||
49: "H8_500",
|
||||
50: "IA_64",
|
||||
51: "MIPS_X",
|
||||
52: "COLDFIRE",
|
||||
53: "68HC12",
|
||||
54: "MMA",
|
||||
55: "PCP",
|
||||
56: "NCPU",
|
||||
57: "NDR1",
|
||||
58: "STARCORE",
|
||||
59: "ME16",
|
||||
60: "ST100",
|
||||
61: "TINYJ",
|
||||
62: "amd64",
|
||||
63: "PDSP",
|
||||
64: "PDP10",
|
||||
65: "PDP11",
|
||||
66: "FX66",
|
||||
67: "ST9PLUS",
|
||||
68: "ST7",
|
||||
69: "68HC16",
|
||||
70: "68HC11",
|
||||
71: "68HC08",
|
||||
72: "68HC05",
|
||||
73: "SVX",
|
||||
74: "ST19",
|
||||
75: "VAX",
|
||||
76: "CRIS",
|
||||
77: "JAVELIN",
|
||||
78: "FIREPATH",
|
||||
79: "ZSP",
|
||||
80: "MMIX",
|
||||
81: "HUANY",
|
||||
82: "PRISM",
|
||||
83: "AVR",
|
||||
84: "FR30",
|
||||
85: "D10V",
|
||||
86: "D30V",
|
||||
87: "V850",
|
||||
88: "M32R",
|
||||
89: "MN10300",
|
||||
90: "MN10200",
|
||||
91: "PJ",
|
||||
92: "OPENRISC",
|
||||
93: "ARC_A5",
|
||||
94: "XTENSA",
|
||||
95: "VIDEOCORE",
|
||||
96: "TMM_GPP",
|
||||
97: "NS32K",
|
||||
98: "TPC",
|
||||
99: "SNP1K",
|
||||
100: "ST200",
|
||||
}
|
||||
|
||||
@property
|
||||
def e_machine(self) -> Optional[str]:
|
||||
(e_machine,) = struct.unpack_from(self.endian + "H", self.file_header, 0x12)
|
||||
return ELF.MACHINE.get(e_machine)
|
||||
|
||||
def parse_program_header(self, i) -> Phdr:
|
||||
phent_offset = i * self.e_phentsize
|
||||
phent = self.phbuf[phent_offset : phent_offset + self.e_phentsize]
|
||||
|
||||
(p_type,) = struct.unpack_from(self.endian + "I", phent, 0x0)
|
||||
logger.debug("ph:p_type: 0x%04x", p_type)
|
||||
|
||||
if self.bitness == 32:
|
||||
p_offset, p_vaddr, p_paddr, p_filesz = struct.unpack_from(self.endian + "IIII", phent, 0x4)
|
||||
elif self.bitness == 64:
|
||||
p_offset, p_vaddr, p_paddr, p_filesz = struct.unpack_from(self.endian + "QQQQ", phent, 0x8)
|
||||
else:
|
||||
raise NotImplementedError()
|
||||
|
||||
logger.debug("ph:p_offset: 0x%02x p_filesz: 0x%04x", p_offset, p_filesz)
|
||||
|
||||
self.f.seek(p_offset)
|
||||
buf = self.f.read(p_filesz)
|
||||
if len(buf) != p_filesz:
|
||||
raise ValueError("failed to read program header content")
|
||||
|
||||
return Phdr(p_type, p_offset, p_vaddr, p_paddr, p_filesz, buf)
|
||||
|
||||
@property
|
||||
def program_headers(self):
|
||||
for i in range(self.e_phnum):
|
||||
try:
|
||||
yield self.parse_program_header(i)
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
def parse_section_header(self, i) -> Shdr:
|
||||
shent_offset = i * self.e_shentsize
|
||||
shent = self.shbuf[shent_offset : shent_offset + self.e_shentsize]
|
||||
|
||||
if self.bitness == 32:
|
||||
sh_name, sh_type, sh_flags, sh_addr, sh_offset, sh_size, sh_link = struct.unpack_from(
|
||||
self.endian + "IIIIIII", shent, 0x0
|
||||
)
|
||||
elif self.bitness == 64:
|
||||
sh_name, sh_type, sh_flags, sh_addr, sh_offset, sh_size, sh_link = struct.unpack_from(
|
||||
self.endian + "IIQQQQI", shent, 0x0
|
||||
)
|
||||
else:
|
||||
raise NotImplementedError()
|
||||
|
||||
logger.debug("sh:sh_offset: 0x%02x sh_size: 0x%04x", sh_offset, sh_size)
|
||||
|
||||
self.f.seek(sh_offset)
|
||||
buf = self.f.read(sh_size)
|
||||
if len(buf) != sh_size:
|
||||
raise ValueError("failed to read section header content")
|
||||
|
||||
return Shdr(sh_name, sh_type, sh_flags, sh_addr, sh_offset, sh_size, sh_link, buf)
|
||||
|
||||
@property
|
||||
def section_headers(self):
|
||||
for i in range(self.e_shnum):
|
||||
try:
|
||||
yield self.parse_section_header(i)
|
||||
except ValueError:
|
||||
continue
|
||||
|
||||
@property
|
||||
def linker(self):
|
||||
PT_INTERP = 0x3
|
||||
for phdr in self.program_headers:
|
||||
if phdr.type != PT_INTERP:
|
||||
continue
|
||||
|
||||
return read_cstr(phdr.buf, 0)
|
||||
|
||||
@property
|
||||
def versions_needed(self) -> Dict[str, Set[str]]:
|
||||
# symbol version requirements are stored in the .gnu.version_r section,
|
||||
# which has type SHT_GNU_verneed (0x6ffffffe).
|
||||
#
|
||||
# this contains a linked list of ElfXX_Verneed structs,
|
||||
# each referencing a linked list of ElfXX_Vernaux structs.
|
||||
# strings are stored in the section referenced by the sh_link field of the section header.
|
||||
# each Verneed struct contains a reference to the name of the library,
|
||||
# each Vernaux struct contains a reference to the name of a symbol.
|
||||
SHT_GNU_VERNEED = 0x6FFFFFFE
|
||||
for shdr in self.section_headers:
|
||||
if shdr.type != SHT_GNU_VERNEED:
|
||||
continue
|
||||
|
||||
# the linked section contains strings referenced by the verneed structures.
|
||||
linked_shdr = self.parse_section_header(shdr.link)
|
||||
|
||||
versions_needed = collections.defaultdict(set)
|
||||
|
||||
# read verneed structures from the start of the section
|
||||
# until the vn_next link is 0x0.
|
||||
# each entry describes a shared object that is required by this binary.
|
||||
vn_offset = 0x0
|
||||
while True:
|
||||
# ElfXX_Verneed layout is the same on 32 and 64 bit
|
||||
vn_version, vn_cnt, vn_file, vn_aux, vn_next = struct.unpack_from(
|
||||
self.endian + "HHIII", shdr.buf, vn_offset
|
||||
)
|
||||
if vn_version != 1:
|
||||
# unexpected format, don't try to keep parsing
|
||||
break
|
||||
|
||||
# shared object names, like: "libdl.so.2"
|
||||
so_name = read_cstr(linked_shdr.buf, vn_file)
|
||||
|
||||
# read vernaux structures linked from the verneed structure.
|
||||
# there should be vn_cnt of these.
|
||||
# each entry describes an ABI name required by the shared object.
|
||||
vna_offset = vn_offset + vn_aux
|
||||
for i in range(vn_cnt):
|
||||
# ElfXX_Vernaux layout is the same on 32 and 64 bit
|
||||
_, _, _, vna_name, vna_next = struct.unpack_from(self.endian + "IHHII", shdr.buf, vna_offset)
|
||||
|
||||
# ABI names, like: "GLIBC_2.2.5"
|
||||
abi = read_cstr(linked_shdr.buf, vna_name)
|
||||
versions_needed[so_name].add(abi)
|
||||
|
||||
vna_offset += vna_next
|
||||
|
||||
vn_offset += vn_next
|
||||
if vn_next == 0:
|
||||
break
|
||||
|
||||
return dict(versions_needed)
|
||||
|
||||
return {}
|
||||
|
||||
@property
|
||||
def dynamic_entries(self) -> Iterator[Tuple[int, int]]:
|
||||
"""
|
||||
read the entries from the dynamic section,
|
||||
yielding the tag and value for each entry.
|
||||
"""
|
||||
DT_NULL = 0x0
|
||||
PT_DYNAMIC = 0x2
|
||||
for phdr in self.program_headers:
|
||||
if phdr.type != PT_DYNAMIC:
|
||||
continue
|
||||
|
||||
offset = 0x0
|
||||
while True:
|
||||
if self.bitness == 32:
|
||||
d_tag, d_val = struct.unpack_from(self.endian + "II", phdr.buf, offset)
|
||||
offset += 8
|
||||
elif self.bitness == 64:
|
||||
d_tag, d_val = struct.unpack_from(self.endian + "QQ", phdr.buf, offset)
|
||||
offset += 16
|
||||
else:
|
||||
raise NotImplementedError()
|
||||
|
||||
if d_tag == DT_NULL:
|
||||
break
|
||||
|
||||
yield d_tag, d_val
|
||||
|
||||
@property
|
||||
def strtab(self) -> Optional[bytes]:
|
||||
"""
|
||||
fetch the bytes of the string table
|
||||
referenced by the dynamic section.
|
||||
"""
|
||||
DT_STRTAB = 0x5
|
||||
DT_STRSZ = 0xA
|
||||
|
||||
strtab_addr = None
|
||||
strtab_size = None
|
||||
|
||||
for d_tag, d_val in self.dynamic_entries:
|
||||
if d_tag == DT_STRTAB:
|
||||
strtab_addr = d_val
|
||||
|
||||
for d_tag, d_val in self.dynamic_entries:
|
||||
if d_tag == DT_STRSZ:
|
||||
strtab_size = d_val
|
||||
|
||||
if strtab_addr is None:
|
||||
return None
|
||||
|
||||
if strtab_size is None:
|
||||
return None
|
||||
|
||||
strtab_offset = None
|
||||
for shdr in self.section_headers:
|
||||
if shdr.addr <= strtab_addr < shdr.addr + shdr.size:
|
||||
strtab_offset = shdr.offset + (strtab_addr - shdr.addr)
|
||||
|
||||
if strtab_offset is None:
|
||||
return None
|
||||
|
||||
self.f.seek(strtab_offset)
|
||||
strtab_buf = self.f.read(strtab_size)
|
||||
|
||||
if len(strtab_buf) != strtab_size:
|
||||
return None
|
||||
|
||||
return strtab_buf
|
||||
|
||||
@property
|
||||
def needed(self) -> Iterator[str]:
|
||||
"""
|
||||
read the names of DT_NEEDED entries from the dynamic section,
|
||||
which correspond to dependencies on other shared objects,
|
||||
like: `libpthread.so.0`
|
||||
"""
|
||||
DT_NEEDED = 0x1
|
||||
strtab = self.strtab
|
||||
if not strtab:
|
||||
return
|
||||
|
||||
for d_tag, d_val in self.dynamic_entries:
|
||||
if d_tag != DT_NEEDED:
|
||||
continue
|
||||
|
||||
yield read_cstr(strtab, d_val)
|
||||
|
||||
|
||||
@dataclass
|
||||
class ABITag:
|
||||
os: OS
|
||||
kmajor: int
|
||||
kminor: int
|
||||
kpatch: int
|
||||
|
||||
|
||||
class PHNote:
|
||||
def __init__(self, endian: str, buf: bytes):
|
||||
self.endian = endian
|
||||
self.buf = buf
|
||||
|
||||
# these will be initialized in `_parse()`
|
||||
self.type_: int
|
||||
self.descsz: int
|
||||
self.name: str
|
||||
|
||||
self._parse()
|
||||
|
||||
def _parse(self):
|
||||
namesz, self.descsz, self.type_ = struct.unpack_from(self.endian + "III", self.buf, 0x0)
|
||||
name_offset = 0xC
|
||||
self.desc_offset = name_offset + align(namesz, 0x4)
|
||||
|
||||
logger.debug("ph:namesz: 0x%02x descsz: 0x%02x type: 0x%04x", namesz, self.descsz, self.type_)
|
||||
|
||||
self.name = self.buf[name_offset : name_offset + namesz].partition(b"\x00")[0].decode("ascii")
|
||||
logger.debug("name: %s", self.name)
|
||||
|
||||
@property
|
||||
def abi_tag(self) -> Optional[ABITag]:
|
||||
if self.type_ != 1:
|
||||
# > The type field shall be 1.
|
||||
# Linux Standard Base Specification 1.2
|
||||
# ref: https://refspecs.linuxfoundation.org/LSB_1.2.0/gLSB/noteabitag.html
|
||||
return None
|
||||
|
||||
if self.name != "GNU":
|
||||
return None
|
||||
|
||||
if self.descsz < 16:
|
||||
return None
|
||||
|
||||
desc = self.buf[self.desc_offset : self.desc_offset + self.descsz]
|
||||
abi_tag, kmajor, kminor, kpatch = struct.unpack_from(self.endian + "IIII", desc, 0x0)
|
||||
logger.debug("GNU_ABI_TAG: 0x%02x", abi_tag)
|
||||
|
||||
os = GNU_ABI_TAG.get(abi_tag)
|
||||
if not os:
|
||||
return None
|
||||
|
||||
logger.debug("abi tag: %s earliest compatible kernel: %d.%d.%d", os, kmajor, kminor, kpatch)
|
||||
|
||||
return ABITag(os, kmajor, kminor, kpatch)
|
||||
|
||||
|
||||
class SHNote:
|
||||
def __init__(self, endian: str, buf: bytes):
|
||||
self.endian = endian
|
||||
self.buf = buf
|
||||
|
||||
# these will be initialized in `_parse()`
|
||||
self.type_: int
|
||||
self.descsz: int
|
||||
self.name: str
|
||||
|
||||
self._parse()
|
||||
|
||||
def _parse(self):
|
||||
namesz, self.descsz, self.type_ = struct.unpack_from(self.endian + "III", self.buf, 0x0)
|
||||
name_offset = 0xC
|
||||
self.desc_offset = name_offset + align(namesz, 0x4)
|
||||
|
||||
logger.debug("sh:namesz: 0x%02x descsz: 0x%02x type: 0x%04x", namesz, self.descsz, self.type_)
|
||||
|
||||
name_buf = self.buf[name_offset : name_offset + namesz]
|
||||
self.name = read_cstr(name_buf, 0x0)
|
||||
logger.debug("sh:name: %s", self.name)
|
||||
|
||||
@property
|
||||
def abi_tag(self) -> Optional[ABITag]:
|
||||
if self.name != "GNU":
|
||||
return None
|
||||
|
||||
if self.descsz < 16:
|
||||
return None
|
||||
|
||||
desc = self.buf[self.desc_offset : self.desc_offset + self.descsz]
|
||||
abi_tag, kmajor, kminor, kpatch = struct.unpack_from(self.endian + "IIII", desc, 0x0)
|
||||
logger.debug("GNU_ABI_TAG: 0x%02x", abi_tag)
|
||||
|
||||
os = GNU_ABI_TAG.get(abi_tag)
|
||||
if not os:
|
||||
return None
|
||||
|
||||
logger.debug("abi tag: %s earliest compatible kernel: %d.%d.%d", os, kmajor, kminor, kpatch)
|
||||
return ABITag(os, kmajor, kminor, kpatch)
|
||||
|
||||
|
||||
def guess_os_from_osabi(elf) -> Optional[OS]:
|
||||
return elf.ei_osabi
|
||||
|
||||
|
||||
def guess_os_from_ph_notes(elf) -> Optional[OS]:
|
||||
# search for PT_NOTE sections that specify an OS
|
||||
# for example, on Linux there is a GNU section with minimum kernel version
|
||||
PT_NOTE = 0x4
|
||||
for phdr in elf.program_headers:
|
||||
if phdr.type != PT_NOTE:
|
||||
continue
|
||||
|
||||
note = PHNote(elf.endian, phdr.buf)
|
||||
|
||||
if note.type_ != 1:
|
||||
# > The type field shall be 1.
|
||||
# Linux Standard Base Specification 1.2
|
||||
# ref: https://refspecs.linuxfoundation.org/LSB_1.2.0/gLSB/noteabitag.html
|
||||
continue
|
||||
|
||||
if note.name == "Linux":
|
||||
logger.debug("note owner: %s", "LINUX")
|
||||
return OS.LINUX
|
||||
elif note.name == "OpenBSD":
|
||||
logger.debug("note owner: %s", "OPENBSD")
|
||||
return OS.OPENBSD
|
||||
elif note.name == "NetBSD":
|
||||
logger.debug("note owner: %s", "NETBSD")
|
||||
return OS.NETBSD
|
||||
elif note.name == "FreeBSD":
|
||||
logger.debug("note owner: %s", "FREEBSD")
|
||||
return OS.FREEBSD
|
||||
elif note.name == "GNU":
|
||||
abi_tag = note.abi_tag
|
||||
if abi_tag:
|
||||
return abi_tag.os
|
||||
else:
|
||||
# cannot make a guess about the OS, but probably linux or hurd
|
||||
pass
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def guess_os_from_sh_notes(elf) -> Optional[OS]:
|
||||
# search for notes stored in sections that aren't visible in program headers.
|
||||
# e.g. .note.Linux in Linux kernel modules.
|
||||
SHT_NOTE = 0x7
|
||||
for shdr in elf.section_headers:
|
||||
if shdr.type != SHT_NOTE:
|
||||
continue
|
||||
|
||||
note = SHNote(elf.endian, shdr.buf)
|
||||
|
||||
if note.name == "Linux":
|
||||
logger.debug("note owner: %s", "LINUX")
|
||||
return OS.LINUX
|
||||
elif note.name == "OpenBSD":
|
||||
logger.debug("note owner: %s", "OPENBSD")
|
||||
return OS.OPENBSD
|
||||
elif note.name == "NetBSD":
|
||||
logger.debug("note owner: %s", "NETBSD")
|
||||
return OS.NETBSD
|
||||
elif note.name == "FreeBSD":
|
||||
logger.debug("note owner: %s", "FREEBSD")
|
||||
return OS.FREEBSD
|
||||
elif note.name == "GNU":
|
||||
abi_tag = note.abi_tag
|
||||
if abi_tag:
|
||||
return abi_tag.os
|
||||
else:
|
||||
# cannot make a guess about the OS, but probably linux or hurd
|
||||
pass
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def guess_os_from_linker(elf) -> Optional[OS]:
|
||||
# search for recognizable dynamic linkers (interpreters)
|
||||
# for example, on linux, we see file paths like: /lib64/ld-linux-x86-64.so.2
|
||||
linker = elf.linker
|
||||
if linker and "ld-linux" in elf.linker:
|
||||
return OS.LINUX
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def guess_os_from_abi_versions_needed(elf) -> Optional[OS]:
|
||||
# then lets look for GLIBC symbol versioning requirements.
|
||||
# this will let us guess about linux/hurd in some cases.
|
||||
|
||||
versions_needed = elf.versions_needed
|
||||
if any(map(lambda abi: abi.startswith("GLIBC"), itertools.chain(*versions_needed.values()))):
|
||||
# there are any GLIBC versions needed
|
||||
|
||||
if elf.e_machine != "i386":
|
||||
# GLIBC runs on Linux and Hurd.
|
||||
# for Hurd, its *only* on i386.
|
||||
# so if we're not on i386, then we're on Linux.
|
||||
return OS.LINUX
|
||||
|
||||
else:
|
||||
# we're on i386, so we could be on either Linux or Hurd.
|
||||
linker = elf.linker
|
||||
|
||||
if linker and "ld-linux" in linker:
|
||||
return OS.LINUX
|
||||
|
||||
elif linker and "/ld.so" in linker:
|
||||
return OS.HURD
|
||||
|
||||
else:
|
||||
# we don't have any good guesses based on versions needed
|
||||
pass
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def guess_os_from_needed_dependencies(elf) -> Optional[OS]:
|
||||
for needed in elf.needed:
|
||||
if needed.startswith("libmachuser.so"):
|
||||
return OS.HURD
|
||||
if needed.startswith("libhurduser.so"):
|
||||
return OS.HURD
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def detect_elf_os(f) -> str:
|
||||
"""
|
||||
f: type Union[BinaryIO, IDAIO]
|
||||
"""
|
||||
elf = ELF(f)
|
||||
|
||||
osabi_guess = guess_os_from_osabi(elf)
|
||||
logger.debug("guess: osabi: %s", osabi_guess)
|
||||
|
||||
ph_notes_guess = guess_os_from_ph_notes(elf)
|
||||
logger.debug("guess: ph notes: %s", ph_notes_guess)
|
||||
|
||||
sh_notes_guess = guess_os_from_sh_notes(elf)
|
||||
logger.debug("guess: sh notes: %s", sh_notes_guess)
|
||||
|
||||
linker_guess = guess_os_from_linker(elf)
|
||||
logger.debug("guess: linker: %s", linker_guess)
|
||||
|
||||
abi_versions_needed_guess = guess_os_from_abi_versions_needed(elf)
|
||||
logger.debug("guess: ABI versions needed: %s", abi_versions_needed_guess)
|
||||
|
||||
needed_dependencies_guess = guess_os_from_needed_dependencies(elf)
|
||||
logger.debug("guess: needed dependencies: %s", needed_dependencies_guess)
|
||||
|
||||
ret = None
|
||||
|
||||
if osabi_guess:
|
||||
ret = osabi_guess
|
||||
|
||||
elif ph_notes_guess:
|
||||
ret = ph_notes_guess
|
||||
|
||||
elif sh_notes_guess:
|
||||
ret = sh_notes_guess
|
||||
|
||||
elif linker_guess:
|
||||
ret = linker_guess
|
||||
|
||||
elif abi_versions_needed_guess:
|
||||
ret = abi_versions_needed_guess
|
||||
|
||||
elif needed_dependencies_guess:
|
||||
ret = needed_dependencies_guess
|
||||
|
||||
return ret.value if ret is not None else "unknown"
|
||||
|
||||
|
||||
def detect_elf_arch(f: BinaryIO) -> str:
|
||||
return ELF(f).e_machine or "unknown"
|
||||
158
capa/features/extractors/elffile.py
Normal file
158
capa/features/extractors/elffile.py
Normal file
@@ -0,0 +1,158 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import io
|
||||
import logging
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
from elftools.elf.elffile import ELFFile, SymbolTableSection
|
||||
|
||||
import capa.features.extractors.common
|
||||
from capa.features.file import Import, Section
|
||||
from capa.features.common import OS, FORMAT_ELF, Arch, Format, Feature
|
||||
from capa.features.address import NO_ADDRESS, FileOffsetAddress, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import FeatureExtractor
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_file_import_names(elf, **kwargs):
|
||||
# see https://github.com/eliben/pyelftools/blob/0664de05ed2db3d39041e2d51d19622a8ef4fb0f/scripts/readelf.py#L372
|
||||
symbol_tables = [(idx, s) for idx, s in enumerate(elf.iter_sections()) if isinstance(s, SymbolTableSection)]
|
||||
|
||||
for _, section in symbol_tables:
|
||||
if not isinstance(section, SymbolTableSection):
|
||||
continue
|
||||
|
||||
if section["sh_entsize"] == 0:
|
||||
logger.debug("Symbol table '%s' has a sh_entsize of zero!", section.name)
|
||||
continue
|
||||
|
||||
logger.debug("Symbol table '%s' contains %s entries:", section.name, section.num_symbols())
|
||||
|
||||
for _, symbol in enumerate(section.iter_symbols()):
|
||||
if symbol.name and symbol.entry.st_info.type == "STT_FUNC":
|
||||
# TODO symbol address
|
||||
# TODO symbol version info?
|
||||
yield Import(symbol.name), FileOffsetAddress(0x0)
|
||||
|
||||
|
||||
def extract_file_section_names(elf, **kwargs):
|
||||
for section in elf.iter_sections():
|
||||
if section.name:
|
||||
yield Section(section.name), AbsoluteVirtualAddress(section.header.sh_addr)
|
||||
elif section.is_null():
|
||||
yield Section("NULL"), AbsoluteVirtualAddress(section.header.sh_addr)
|
||||
|
||||
|
||||
def extract_file_strings(buf, **kwargs):
|
||||
yield from capa.features.extractors.common.extract_file_strings(buf)
|
||||
|
||||
|
||||
def extract_file_os(elf, buf, **kwargs):
|
||||
# our current approach does not always get an OS value, e.g. for packed samples
|
||||
# for file limitation purposes, we're more lax here
|
||||
try:
|
||||
os_tuple = next(capa.features.extractors.common.extract_os(buf))
|
||||
yield os_tuple
|
||||
except StopIteration:
|
||||
yield OS("unknown"), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_format(**kwargs):
|
||||
yield Format(FORMAT_ELF), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_arch(elf, **kwargs):
|
||||
# TODO merge with capa.features.extractors.elf.detect_elf_arch()
|
||||
arch = elf.get_machine_arch()
|
||||
if arch == "x86":
|
||||
yield Arch("i386"), NO_ADDRESS
|
||||
elif arch == "x64":
|
||||
yield Arch("amd64"), NO_ADDRESS
|
||||
else:
|
||||
logger.warning("unsupported architecture: %s", arch)
|
||||
|
||||
|
||||
def extract_file_features(elf: ELFFile, buf: bytes) -> Iterator[Tuple[Feature, int]]:
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, addr in file_handler(elf=elf, buf=buf): # type: ignore
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
# TODO extract_file_export_names,
|
||||
extract_file_import_names,
|
||||
extract_file_section_names,
|
||||
extract_file_strings,
|
||||
# no library matching
|
||||
extract_file_format,
|
||||
)
|
||||
|
||||
|
||||
def extract_global_features(elf: ELFFile, buf: bytes) -> Iterator[Tuple[Feature, int]]:
|
||||
for global_handler in GLOBAL_HANDLERS:
|
||||
for feature, addr in global_handler(elf=elf, buf=buf): # type: ignore
|
||||
yield feature, addr
|
||||
|
||||
|
||||
GLOBAL_HANDLERS = (
|
||||
extract_file_os,
|
||||
extract_file_arch,
|
||||
)
|
||||
|
||||
|
||||
class ElfFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, path: str):
|
||||
super().__init__()
|
||||
self.path = path
|
||||
with open(self.path, "rb") as f:
|
||||
self.elf = ELFFile(io.BytesIO(f.read()))
|
||||
|
||||
def get_base_address(self):
|
||||
# virtual address of the first segment with type LOAD
|
||||
for segment in self.elf.iter_segments():
|
||||
if segment.header.p_type == "PT_LOAD":
|
||||
return AbsoluteVirtualAddress(segment.header.p_vaddr)
|
||||
|
||||
def extract_global_features(self):
|
||||
with open(self.path, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
for feature, addr in extract_global_features(self.elf, buf):
|
||||
yield feature, addr
|
||||
|
||||
def extract_file_features(self):
|
||||
with open(self.path, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
for feature, addr in extract_file_features(self.elf, buf):
|
||||
yield feature, addr
|
||||
|
||||
def get_functions(self):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_function_features(self, f):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def is_library_function(self, addr):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
|
||||
def get_function_name(self, addr):
|
||||
raise NotImplementedError("ElfFeatureExtractor can only be used to extract file features")
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,23 +6,18 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import struct
|
||||
import builtins
|
||||
|
||||
from capa.features.file import Import
|
||||
from capa.features.insn import API
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
MIN_STACKSTRING_LEN = 8
|
||||
|
||||
|
||||
def xor_static(data, i):
|
||||
if sys.version_info >= (3, 0):
|
||||
return bytes(c ^ i for c in data)
|
||||
else:
|
||||
return "".join(chr(ord(c) ^ i) for c in data)
|
||||
def xor_static(data: bytes, i: int) -> bytes:
|
||||
return bytes(c ^ i for c in data)
|
||||
|
||||
|
||||
def is_aw_function(symbol):
|
||||
def is_aw_function(symbol: str) -> bool:
|
||||
"""
|
||||
is the given function name an A/W function?
|
||||
these are variants of functions that, on Windows, accept either a narrow or wide string.
|
||||
@@ -34,18 +29,19 @@ def is_aw_function(symbol):
|
||||
if symbol[-1] not in ("A", "W"):
|
||||
return False
|
||||
|
||||
# second to last character should be lowercase letter
|
||||
return "a" <= symbol[-2] <= "z" or "0" <= symbol[-2] <= "9"
|
||||
return True
|
||||
|
||||
|
||||
def is_ordinal(symbol):
|
||||
def is_ordinal(symbol: str) -> bool:
|
||||
"""
|
||||
is the given symbol an ordinal that is prefixed by "#"?
|
||||
"""
|
||||
return symbol[0] == "#"
|
||||
if symbol:
|
||||
return symbol[0] == "#"
|
||||
return False
|
||||
|
||||
|
||||
def generate_symbols(dll, symbol):
|
||||
def generate_symbols(dll: str, symbol: str) -> Iterator[str]:
|
||||
"""
|
||||
for a given dll and symbol name, generate variants.
|
||||
we over-generate features to make matching easier.
|
||||
@@ -55,6 +51,9 @@ def generate_symbols(dll, symbol):
|
||||
- CreateFileA
|
||||
- CreateFile
|
||||
"""
|
||||
# normalize dll name
|
||||
dll = dll.lower()
|
||||
|
||||
# kernel32.CreateFileA
|
||||
yield "%s.%s" % (dll, symbol)
|
||||
|
||||
@@ -71,11 +70,11 @@ def generate_symbols(dll, symbol):
|
||||
yield symbol[:-1]
|
||||
|
||||
|
||||
def all_zeros(bytez):
|
||||
def all_zeros(bytez: bytes) -> bool:
|
||||
return all(b == 0 for b in builtins.bytes(bytez))
|
||||
|
||||
|
||||
def twos_complement(val, bits):
|
||||
def twos_complement(val: int, bits: int) -> int:
|
||||
"""
|
||||
compute the 2's complement of int value val
|
||||
|
||||
@@ -88,3 +87,48 @@ def twos_complement(val, bits):
|
||||
else:
|
||||
# return positive value as is
|
||||
return val
|
||||
|
||||
|
||||
def carve_pe(pbytes: bytes, offset: int = 0) -> Iterator[Tuple[int, int]]:
|
||||
"""
|
||||
Generate (offset, key) tuples of embedded PEs
|
||||
|
||||
Based on the version from vivisect:
|
||||
https://github.com/vivisect/vivisect/blob/7be4037b1cecc4551b397f840405a1fc606f9b53/PE/carve.py#L19
|
||||
And its IDA adaptation:
|
||||
capa/features/extractors/ida/file.py
|
||||
"""
|
||||
mz_xor = [
|
||||
(
|
||||
xor_static(b"MZ", key),
|
||||
xor_static(b"PE", key),
|
||||
key,
|
||||
)
|
||||
for key in range(256)
|
||||
]
|
||||
|
||||
pblen = len(pbytes)
|
||||
todo = [(pbytes.find(mzx, offset), mzx, pex, key) for mzx, pex, key in mz_xor]
|
||||
todo = [(off, mzx, pex, key) for (off, mzx, pex, key) in todo if off != -1]
|
||||
|
||||
while len(todo):
|
||||
off, mzx, pex, key = todo.pop()
|
||||
|
||||
# The MZ header has one field we will check
|
||||
# e_lfanew is at 0x3c
|
||||
e_lfanew = off + 0x3C
|
||||
if pblen < (e_lfanew + 4):
|
||||
continue
|
||||
|
||||
newoff = struct.unpack("<I", xor_static(pbytes[e_lfanew : e_lfanew + 4], key))[0]
|
||||
|
||||
nextres = pbytes.find(mzx, off + 1)
|
||||
if nextres != -1:
|
||||
todo.append((nextres, mzx, pex, key))
|
||||
|
||||
peoff = off + newoff
|
||||
if pblen < (peoff + 2):
|
||||
continue
|
||||
|
||||
if pbytes[peoff : peoff + 2] == pex:
|
||||
yield (off, key)
|
||||
|
||||
@@ -1,93 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import types
|
||||
|
||||
import idaapi
|
||||
|
||||
import capa.features.extractors.ida.file
|
||||
import capa.features.extractors.ida.insn
|
||||
import capa.features.extractors.ida.function
|
||||
import capa.features.extractors.ida.basicblock
|
||||
from capa.features.extractors import FeatureExtractor
|
||||
|
||||
|
||||
def get_ea(self):
|
||||
""" """
|
||||
if isinstance(self, (idaapi.BasicBlock, idaapi.func_t)):
|
||||
return self.start_ea
|
||||
if isinstance(self, idaapi.insn_t):
|
||||
return self.ea
|
||||
raise TypeError
|
||||
|
||||
|
||||
def add_ea_int_cast(o):
|
||||
"""
|
||||
dynamically add a cast-to-int (`__int__`) method to the given object
|
||||
that returns the value of the `.ea` property.
|
||||
this bit of skullduggery lets use cast viv-utils objects as ints.
|
||||
the correct way of doing this is to update viv-utils (or subclass the objects here).
|
||||
"""
|
||||
if sys.version_info[0] >= 3:
|
||||
setattr(o, "__int__", types.MethodType(get_ea, o))
|
||||
else:
|
||||
setattr(o, "__int__", types.MethodType(get_ea, o, type(o)))
|
||||
return o
|
||||
|
||||
|
||||
class IdaFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self):
|
||||
super(IdaFeatureExtractor, self).__init__()
|
||||
|
||||
def get_base_address(self):
|
||||
return idaapi.get_imagebase()
|
||||
|
||||
def extract_file_features(self):
|
||||
for (feature, ea) in capa.features.extractors.ida.file.extract_features():
|
||||
yield feature, ea
|
||||
|
||||
def get_functions(self):
|
||||
import capa.features.extractors.ida.helpers as ida_helpers
|
||||
|
||||
# data structure shared across functions yielded here.
|
||||
# useful for caching analysis relevant across a single workspace.
|
||||
ctx = {}
|
||||
|
||||
# ignore library functions and thunk functions as identified by IDA
|
||||
for f in ida_helpers.get_functions(skip_thunks=True, skip_libs=True):
|
||||
setattr(f, "ctx", ctx)
|
||||
yield add_ea_int_cast(f)
|
||||
|
||||
@staticmethod
|
||||
def get_function(ea):
|
||||
f = idaapi.get_func(ea)
|
||||
setattr(f, "ctx", {})
|
||||
return add_ea_int_cast(f)
|
||||
|
||||
def extract_function_features(self, f):
|
||||
for (feature, ea) in capa.features.extractors.ida.function.extract_features(f):
|
||||
yield feature, ea
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
for bb in capa.features.extractors.ida.helpers.get_function_blocks(f):
|
||||
yield add_ea_int_cast(bb)
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
for (feature, ea) in capa.features.extractors.ida.basicblock.extract_features(f, bb):
|
||||
yield feature, ea
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
import capa.features.extractors.ida.helpers as ida_helpers
|
||||
|
||||
for insn in ida_helpers.get_instructions_in_range(bb.start_ea, bb.end_ea):
|
||||
yield add_ea_int_cast(insn)
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
for (feature, ea) in capa.features.extractors.ida.insn.extract_features(f, bb, insn):
|
||||
yield feature, ea
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,25 +6,23 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import string
|
||||
import struct
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import idaapi
|
||||
|
||||
import capa.features.extractors.ida.helpers
|
||||
from capa.features import Characteristic
|
||||
from capa.features.common import Feature, Characteristic
|
||||
from capa.features.address import Address
|
||||
from capa.features.basicblock import BasicBlock
|
||||
from capa.features.extractors.ida import helpers
|
||||
from capa.features.extractors.helpers import MIN_STACKSTRING_LEN
|
||||
from capa.features.extractors.base_extractor import BBHandle, FunctionHandle
|
||||
|
||||
|
||||
def get_printable_len(op):
|
||||
"""Return string length if all operand bytes are ascii or utf16-le printable
|
||||
|
||||
args:
|
||||
op (IDA op_t)
|
||||
"""
|
||||
def get_printable_len(op: idaapi.op_t) -> int:
|
||||
"""Return string length if all operand bytes are ascii or utf16-le printable"""
|
||||
op_val = capa.features.extractors.ida.helpers.mask_op_val(op)
|
||||
|
||||
if op.dtype == idaapi.dt_byte:
|
||||
@@ -38,19 +36,12 @@ def get_printable_len(op):
|
||||
else:
|
||||
raise ValueError("Unhandled operand data type 0x%x." % op.dtype)
|
||||
|
||||
def is_printable_ascii(chars):
|
||||
if sys.version_info[0] >= 3:
|
||||
return all(c < 127 and chr(c) in string.printable for c in chars)
|
||||
else:
|
||||
return all(ord(c) < 127 and c in string.printable for c in chars)
|
||||
def is_printable_ascii(chars_: bytes):
|
||||
return all(c < 127 and chr(c) in string.printable for c in chars_)
|
||||
|
||||
def is_printable_utf16le(chars):
|
||||
if sys.version_info[0] >= 3:
|
||||
if all(c == 0x00 for c in chars[1::2]):
|
||||
return is_printable_ascii(chars[::2])
|
||||
else:
|
||||
if all(c == "\x00" for c in chars[1::2]):
|
||||
return is_printable_ascii(chars[::2])
|
||||
def is_printable_utf16le(chars_: bytes):
|
||||
if all(c == 0x00 for c in chars_[1::2]):
|
||||
return is_printable_ascii(chars_[::2])
|
||||
|
||||
if is_printable_ascii(chars):
|
||||
return idaapi.get_dtype_size(op.dtype)
|
||||
@@ -61,12 +52,8 @@ def get_printable_len(op):
|
||||
return 0
|
||||
|
||||
|
||||
def is_mov_imm_to_stack(insn):
|
||||
"""verify instruction moves immediate onto stack
|
||||
|
||||
args:
|
||||
insn (IDA insn_t)
|
||||
"""
|
||||
def is_mov_imm_to_stack(insn: idaapi.insn_t) -> bool:
|
||||
"""verify instruction moves immediate onto stack"""
|
||||
if insn.Op2.type != idaapi.o_imm:
|
||||
return False
|
||||
|
||||
@@ -79,14 +66,10 @@ def is_mov_imm_to_stack(insn):
|
||||
return True
|
||||
|
||||
|
||||
def bb_contains_stackstring(f, bb):
|
||||
def bb_contains_stackstring(f: idaapi.func_t, bb: idaapi.BasicBlock) -> bool:
|
||||
"""check basic block for stackstring indicators
|
||||
|
||||
true if basic block contains enough moves of constant bytes to the stack
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
"""
|
||||
count = 0
|
||||
for insn in capa.features.extractors.ida.helpers.get_instructions_in_range(bb.start_ea, bb.end_ea):
|
||||
@@ -97,39 +80,24 @@ def bb_contains_stackstring(f, bb):
|
||||
return False
|
||||
|
||||
|
||||
def extract_bb_stackstring(f, bb):
|
||||
"""extract stackstring indicators from basic block
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
"""
|
||||
if bb_contains_stackstring(f, bb):
|
||||
yield Characteristic("stack string"), bb.start_ea
|
||||
def extract_bb_stackstring(fh: FunctionHandle, bbh: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract stackstring indicators from basic block"""
|
||||
if bb_contains_stackstring(fh.inner, bbh.inner):
|
||||
yield Characteristic("stack string"), bbh.address
|
||||
|
||||
|
||||
def extract_bb_tight_loop(f, bb):
|
||||
"""extract tight loop indicators from a basic block
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
"""
|
||||
if capa.features.extractors.ida.helpers.is_basic_block_tight_loop(bb):
|
||||
yield Characteristic("tight loop"), bb.start_ea
|
||||
def extract_bb_tight_loop(fh: FunctionHandle, bbh: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract tight loop indicators from a basic block"""
|
||||
if capa.features.extractors.ida.helpers.is_basic_block_tight_loop(bbh.inner):
|
||||
yield Characteristic("tight loop"), bbh.address
|
||||
|
||||
|
||||
def extract_features(f, bb):
|
||||
"""extract basic block features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
"""
|
||||
def extract_features(fh: FunctionHandle, bbh: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract basic block features"""
|
||||
for bb_handler in BASIC_BLOCK_HANDLERS:
|
||||
for (feature, ea) in bb_handler(f, bb):
|
||||
yield feature, ea
|
||||
yield BasicBlock(), bb.start_ea
|
||||
for feature, addr in bb_handler(fh, bbh):
|
||||
yield feature, addr
|
||||
yield BasicBlock(), bbh.address
|
||||
|
||||
|
||||
BASIC_BLOCK_HANDLERS = (
|
||||
@@ -140,9 +108,10 @@ BASIC_BLOCK_HANDLERS = (
|
||||
|
||||
def main():
|
||||
features = []
|
||||
for f in helpers.get_functions(skip_thunks=True, skip_libs=True):
|
||||
for fhandle in helpers.get_functions(skip_thunks=True, skip_libs=True):
|
||||
f: idaapi.func_t = fhandle.inner
|
||||
for bb in idaapi.FlowChart(f, flags=idaapi.FC_PREDS):
|
||||
features.extend(list(extract_features(f, bb)))
|
||||
features.extend(list(extract_features(fhandle, bb)))
|
||||
|
||||
import pprint
|
||||
|
||||
|
||||
71
capa/features/extractors/ida/extractor.py
Normal file
71
capa/features/extractors/ida/extractor.py
Normal file
@@ -0,0 +1,71 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import List, Tuple, Iterator
|
||||
|
||||
import idaapi
|
||||
|
||||
import capa.ida.helpers
|
||||
import capa.features.extractors.elf
|
||||
import capa.features.extractors.ida.file
|
||||
import capa.features.extractors.ida.insn
|
||||
import capa.features.extractors.ida.global_
|
||||
import capa.features.extractors.ida.function
|
||||
import capa.features.extractors.ida.basicblock
|
||||
from capa.features.common import Feature
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle, FeatureExtractor
|
||||
|
||||
|
||||
class IdaFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.global_features: List[Tuple[Feature, Address]] = []
|
||||
self.global_features.extend(capa.features.extractors.ida.file.extract_file_format())
|
||||
self.global_features.extend(capa.features.extractors.ida.global_.extract_os())
|
||||
self.global_features.extend(capa.features.extractors.ida.global_.extract_arch())
|
||||
|
||||
def get_base_address(self):
|
||||
return AbsoluteVirtualAddress(idaapi.get_imagebase())
|
||||
|
||||
def extract_global_features(self):
|
||||
yield from self.global_features
|
||||
|
||||
def extract_file_features(self):
|
||||
yield from capa.features.extractors.ida.file.extract_features()
|
||||
|
||||
def get_functions(self) -> Iterator[FunctionHandle]:
|
||||
import capa.features.extractors.ida.helpers as ida_helpers
|
||||
|
||||
# ignore library functions and thunk functions as identified by IDA
|
||||
yield from ida_helpers.get_functions(skip_thunks=True, skip_libs=True)
|
||||
|
||||
@staticmethod
|
||||
def get_function(ea: int) -> FunctionHandle:
|
||||
f = idaapi.get_func(ea)
|
||||
return FunctionHandle(address=AbsoluteVirtualAddress(f.start_ea), inner=f)
|
||||
|
||||
def extract_function_features(self, fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.ida.function.extract_features(fh)
|
||||
|
||||
def get_basic_blocks(self, fh: FunctionHandle) -> Iterator[BBHandle]:
|
||||
import capa.features.extractors.ida.helpers as ida_helpers
|
||||
|
||||
for bb in ida_helpers.get_function_blocks(fh.inner):
|
||||
yield BBHandle(address=AbsoluteVirtualAddress(bb.start_ea), inner=bb)
|
||||
|
||||
def extract_basic_block_features(self, fh: FunctionHandle, bbh: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.ida.basicblock.extract_features(fh, bbh)
|
||||
|
||||
def get_instructions(self, fh: FunctionHandle, bbh: BBHandle) -> Iterator[InsnHandle]:
|
||||
import capa.features.extractors.ida.helpers as ida_helpers
|
||||
|
||||
for insn in ida_helpers.get_instructions_in_range(bbh.inner.start_ea, bbh.inner.end_ea):
|
||||
yield InsnHandle(address=AbsoluteVirtualAddress(insn.ea), inner=insn)
|
||||
|
||||
def extract_insn_features(self, fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle):
|
||||
yield from capa.features.extractors.ida.insn.extract_features(fh, bbh, ih)
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -7,26 +7,26 @@
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import struct
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
import idautils
|
||||
|
||||
import capa.features.extractors.common
|
||||
import capa.features.extractors.helpers
|
||||
import capa.features.extractors.strings
|
||||
import capa.features.extractors.ida.helpers
|
||||
from capa.features import String, Characteristic
|
||||
from capa.features.file import Export, Import, Section
|
||||
from capa.features.file import Export, Import, Section, FunctionName
|
||||
from capa.features.common import FORMAT_PE, FORMAT_ELF, Format, String, Feature, Characteristic
|
||||
from capa.features.address import NO_ADDRESS, Address, FileOffsetAddress, AbsoluteVirtualAddress
|
||||
|
||||
|
||||
def check_segment_for_pe(seg):
|
||||
def check_segment_for_pe(seg: idaapi.segment_t) -> Iterator[Tuple[int, int]]:
|
||||
"""check segment for embedded PE
|
||||
|
||||
adapted for IDA from:
|
||||
https://github.com/vivisect/vivisect/blob/7be4037b1cecc4551b397f840405a1fc606f9b53/PE/carve.py#L19
|
||||
|
||||
args:
|
||||
seg (IDA segment_t)
|
||||
"""
|
||||
seg_max = seg.end_ea
|
||||
mz_xor = [
|
||||
@@ -37,11 +37,11 @@ def check_segment_for_pe(seg):
|
||||
)
|
||||
for i in range(256)
|
||||
]
|
||||
todo = [
|
||||
(capa.features.extractors.ida.helpers.find_byte_sequence(seg.start_ea, seg.end_ea, mzx), mzx, pex, i)
|
||||
for mzx, pex, i in mz_xor
|
||||
]
|
||||
todo = [(off, mzx, pex, i) for (off, mzx, pex, i) in todo if off != idaapi.BADADDR]
|
||||
|
||||
todo = []
|
||||
for mzx, pex, i in mz_xor:
|
||||
for off in capa.features.extractors.ida.helpers.find_byte_sequence(seg.start_ea, seg.end_ea, mzx):
|
||||
todo.append((off, mzx, pex, i))
|
||||
|
||||
while len(todo):
|
||||
off, mzx, pex, i = todo.pop()
|
||||
@@ -59,14 +59,13 @@ def check_segment_for_pe(seg):
|
||||
continue
|
||||
|
||||
if idc.get_bytes(peoff, 2) == pex:
|
||||
yield (off, i)
|
||||
yield off, i
|
||||
|
||||
nextres = capa.features.extractors.ida.helpers.find_byte_sequence(off + 1, seg.end_ea, mzx)
|
||||
if nextres != -1:
|
||||
for nextres in capa.features.extractors.ida.helpers.find_byte_sequence(off + 1, seg.end_ea, mzx):
|
||||
todo.append((nextres, mzx, pex, i))
|
||||
|
||||
|
||||
def extract_file_embedded_pe():
|
||||
def extract_file_embedded_pe() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract embedded PE features
|
||||
|
||||
IDA must load resource sections for this to be complete
|
||||
@@ -74,17 +73,17 @@ def extract_file_embedded_pe():
|
||||
- Check 'Load resource sections' when opening binary in IDA manually
|
||||
"""
|
||||
for seg in capa.features.extractors.ida.helpers.get_segments(skip_header_segments=True):
|
||||
for (ea, _) in check_segment_for_pe(seg):
|
||||
yield Characteristic("embedded pe"), ea
|
||||
for ea, _ in check_segment_for_pe(seg):
|
||||
yield Characteristic("embedded pe"), FileOffsetAddress(ea)
|
||||
|
||||
|
||||
def extract_file_export_names():
|
||||
""" extract function exports """
|
||||
for (_, _, ea, name) in idautils.Entries():
|
||||
yield Export(name), ea
|
||||
def extract_file_export_names() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract function exports"""
|
||||
for _, _, ea, name in idautils.Entries():
|
||||
yield Export(name), AbsoluteVirtualAddress(ea)
|
||||
|
||||
|
||||
def extract_file_import_names():
|
||||
def extract_file_import_names() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract function imports
|
||||
|
||||
1. imports by ordinal:
|
||||
@@ -95,8 +94,16 @@ def extract_file_import_names():
|
||||
- modulename.importname
|
||||
- importname
|
||||
"""
|
||||
for (ea, info) in capa.features.extractors.ida.helpers.get_file_imports().items():
|
||||
if info[1]:
|
||||
for ea, info in capa.features.extractors.ida.helpers.get_file_imports().items():
|
||||
addr = AbsoluteVirtualAddress(ea)
|
||||
if info[1] and info[2]:
|
||||
# e.g. in mimikatz: ('cabinet', 'FCIAddFile', 11L)
|
||||
# extract by name here and by ordinal below
|
||||
for name in capa.features.extractors.helpers.generate_symbols(info[0], info[1]):
|
||||
yield Import(name), addr
|
||||
dll = info[0]
|
||||
symbol = "#%d" % (info[2])
|
||||
elif info[1]:
|
||||
dll = info[0]
|
||||
symbol = info[1]
|
||||
elif info[2]:
|
||||
@@ -106,10 +113,13 @@ def extract_file_import_names():
|
||||
continue
|
||||
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield Import(name), ea
|
||||
yield Import(name), addr
|
||||
|
||||
for ea, info in capa.features.extractors.ida.helpers.get_file_externs().items():
|
||||
yield Import(info[1]), AbsoluteVirtualAddress(ea)
|
||||
|
||||
|
||||
def extract_file_section_names():
|
||||
def extract_file_section_names() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract section names
|
||||
|
||||
IDA must load resource sections for this to be complete
|
||||
@@ -117,10 +127,10 @@ def extract_file_section_names():
|
||||
- Check 'Load resource sections' when opening binary in IDA manually
|
||||
"""
|
||||
for seg in capa.features.extractors.ida.helpers.get_segments(skip_header_segments=True):
|
||||
yield Section(idaapi.get_segm_name(seg)), seg.start_ea
|
||||
yield Section(idaapi.get_segm_name(seg)), AbsoluteVirtualAddress(seg.start_ea)
|
||||
|
||||
|
||||
def extract_file_strings():
|
||||
def extract_file_strings() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract ASCII and UTF-16 LE strings
|
||||
|
||||
IDA must load resource sections for this to be complete
|
||||
@@ -130,18 +140,50 @@ def extract_file_strings():
|
||||
for seg in capa.features.extractors.ida.helpers.get_segments():
|
||||
seg_buff = capa.features.extractors.ida.helpers.get_segment_buffer(seg)
|
||||
|
||||
# differing to common string extractor factor in segment offset here
|
||||
for s in capa.features.extractors.strings.extract_ascii_strings(seg_buff):
|
||||
yield String(s.s), (seg.start_ea + s.offset)
|
||||
yield String(s.s), FileOffsetAddress(seg.start_ea + s.offset)
|
||||
|
||||
for s in capa.features.extractors.strings.extract_unicode_strings(seg_buff):
|
||||
yield String(s.s), (seg.start_ea + s.offset)
|
||||
yield String(s.s), FileOffsetAddress(seg.start_ea + s.offset)
|
||||
|
||||
|
||||
def extract_features():
|
||||
""" extract file features """
|
||||
def extract_file_function_names() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract the names of statically-linked library functions.
|
||||
"""
|
||||
for ea in idautils.Functions():
|
||||
addr = AbsoluteVirtualAddress(ea)
|
||||
if idaapi.get_func(ea).flags & idaapi.FUNC_LIB:
|
||||
name = idaapi.get_name(ea)
|
||||
yield FunctionName(name), addr
|
||||
if name.startswith("_"):
|
||||
# some linkers may prefix linked routines with a `_` to avoid name collisions.
|
||||
# extract features for both the mangled and un-mangled representations.
|
||||
# e.g. `_fwrite` -> `fwrite`
|
||||
# see: https://stackoverflow.com/a/2628384/87207
|
||||
yield FunctionName(name[1:]), addr
|
||||
|
||||
|
||||
def extract_file_format() -> Iterator[Tuple[Feature, Address]]:
|
||||
file_info = idaapi.get_inf_structure()
|
||||
|
||||
if file_info.filetype in (idaapi.f_PE, idaapi.f_COFF):
|
||||
yield Format(FORMAT_PE), NO_ADDRESS
|
||||
elif file_info.filetype == idaapi.f_ELF:
|
||||
yield Format(FORMAT_ELF), NO_ADDRESS
|
||||
elif file_info.filetype == idaapi.f_BIN:
|
||||
# no file type to return when processing a binary file, but we want to continue processing
|
||||
return
|
||||
else:
|
||||
raise NotImplementedError("unexpected file format: %d" % file_info.filetype)
|
||||
|
||||
|
||||
def extract_features() -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract file features"""
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, va in file_handler():
|
||||
yield feature, va
|
||||
for feature, addr in file_handler():
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
@@ -150,6 +192,8 @@ FILE_HANDLERS = (
|
||||
extract_file_strings,
|
||||
extract_file_section_names,
|
||||
extract_file_embedded_pe,
|
||||
extract_file_function_names,
|
||||
extract_file_format,
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -1,35 +1,31 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import idaapi
|
||||
import idautils
|
||||
|
||||
import capa.features.extractors.ida.helpers
|
||||
from capa.features import Characteristic
|
||||
from capa.features.common import Feature, Characteristic
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors import loops
|
||||
from capa.features.extractors.base_extractor import FunctionHandle
|
||||
|
||||
|
||||
def extract_function_calls_to(f):
|
||||
"""extract callers to a function
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
"""
|
||||
for ea in idautils.CodeRefsTo(f.start_ea, True):
|
||||
yield Characteristic("calls to"), ea
|
||||
def extract_function_calls_to(fh: FunctionHandle):
|
||||
"""extract callers to a function"""
|
||||
for ea in idautils.CodeRefsTo(fh.inner.start_ea, True):
|
||||
yield Characteristic("calls to"), AbsoluteVirtualAddress(ea)
|
||||
|
||||
|
||||
def extract_function_loop(f):
|
||||
"""extract loop indicators from a function
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
"""
|
||||
def extract_function_loop(fh: FunctionHandle):
|
||||
"""extract loop indicators from a function"""
|
||||
f: idaapi.func_t = fh.inner
|
||||
edges = []
|
||||
|
||||
# construct control flow graph
|
||||
@@ -38,28 +34,19 @@ def extract_function_loop(f):
|
||||
edges.append((bb.start_ea, succ.start_ea))
|
||||
|
||||
if loops.has_loop(edges):
|
||||
yield Characteristic("loop"), f.start_ea
|
||||
yield Characteristic("loop"), fh.address
|
||||
|
||||
|
||||
def extract_recursive_call(f):
|
||||
"""extract recursive function call
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
"""
|
||||
if capa.features.extractors.ida.helpers.is_function_recursive(f):
|
||||
yield Characteristic("recursive call"), f.start_ea
|
||||
def extract_recursive_call(fh: FunctionHandle):
|
||||
"""extract recursive function call"""
|
||||
if capa.features.extractors.ida.helpers.is_function_recursive(fh.inner):
|
||||
yield Characteristic("recursive call"), fh.address
|
||||
|
||||
|
||||
def extract_features(f):
|
||||
"""extract function features
|
||||
|
||||
arg:
|
||||
f (IDA func_t)
|
||||
"""
|
||||
def extract_features(fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
for func_handler in FUNCTION_HANDLERS:
|
||||
for (feature, ea) in func_handler(f):
|
||||
yield feature, ea
|
||||
for feature, addr in func_handler(fh):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FUNCTION_HANDLERS = (extract_function_calls_to, extract_function_loop, extract_recursive_call)
|
||||
@@ -68,8 +55,8 @@ FUNCTION_HANDLERS = (extract_function_calls_to, extract_function_loop, extract_r
|
||||
def main():
|
||||
""" """
|
||||
features = []
|
||||
for f in capa.features.extractors.ida.get_functions(skip_thunks=True, skip_libs=True):
|
||||
features.extend(list(extract_features(f)))
|
||||
for fhandle in capa.features.extractors.ida.helpers.get_functions(skip_thunks=True, skip_libs=True):
|
||||
features.extend(list(extract_features(fhandle)))
|
||||
|
||||
import pprint
|
||||
|
||||
|
||||
58
capa/features/extractors/ida/global_.py
Normal file
58
capa/features/extractors/ida/global_.py
Normal file
@@ -0,0 +1,58 @@
|
||||
import logging
|
||||
import contextlib
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import idaapi
|
||||
import ida_loader
|
||||
|
||||
import capa.ida.helpers
|
||||
import capa.features.extractors.elf
|
||||
from capa.features.common import OS, ARCH_I386, ARCH_AMD64, OS_WINDOWS, Arch, Feature
|
||||
from capa.features.address import NO_ADDRESS, Address
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_os() -> Iterator[Tuple[Feature, Address]]:
|
||||
format_name: str = ida_loader.get_file_type_name()
|
||||
|
||||
if "PE" in format_name:
|
||||
yield OS(OS_WINDOWS), NO_ADDRESS
|
||||
|
||||
elif "ELF" in format_name:
|
||||
with contextlib.closing(capa.ida.helpers.IDAIO()) as f:
|
||||
os = capa.features.extractors.elf.detect_elf_os(f)
|
||||
|
||||
yield OS(os), NO_ADDRESS
|
||||
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling shellcode, or
|
||||
# 2. handling a new file format (e.g. macho)
|
||||
#
|
||||
# for (1) we can't do much - its shellcode and all bets are off.
|
||||
# we could maybe accept a further CLI argument to specify the OS,
|
||||
# but i think this would be rarely used.
|
||||
# rules that rely on OS conditions will fail to match on shellcode.
|
||||
#
|
||||
# for (2), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported file format: %s, will not guess OS", format_name)
|
||||
return
|
||||
|
||||
|
||||
def extract_arch() -> Iterator[Tuple[Feature, Address]]:
|
||||
info: idaapi.idainfo = idaapi.get_inf_structure()
|
||||
if info.procname == "metapc" and info.is_64bit():
|
||||
yield Arch(ARCH_AMD64), NO_ADDRESS
|
||||
elif info.procname == "metapc" and info.is_32bit():
|
||||
yield Arch(ARCH_I386), NO_ADDRESS
|
||||
elif info.procname == "metapc":
|
||||
logger.debug("unsupported architecture: non-32-bit nor non-64-bit intel")
|
||||
return
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling a new architecture (e.g. aarch64)
|
||||
#
|
||||
# for (1), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported architecture: %s", info.procname)
|
||||
return
|
||||
@@ -1,51 +1,56 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import string
|
||||
from typing import Any, Dict, Tuple, Iterator, Optional
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
import idautils
|
||||
import ida_bytes
|
||||
import ida_segment
|
||||
|
||||
from capa.features.address import AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import FunctionHandle
|
||||
|
||||
|
||||
def find_byte_sequence(start, end, seq):
|
||||
"""find byte sequence
|
||||
def find_byte_sequence(start: int, end: int, seq: bytes) -> Iterator[int]:
|
||||
"""yield all ea of a given byte sequence
|
||||
|
||||
args:
|
||||
start: min virtual address
|
||||
end: max virtual address
|
||||
seq: bytes to search e.g. b'\x01\x03'
|
||||
seq: bytes to search e.g. b"\x01\x03"
|
||||
"""
|
||||
if sys.version_info[0] >= 3:
|
||||
return idaapi.find_binary(start, end, " ".join(["%02x" % b for b in seq]), 0, idaapi.SEARCH_DOWN)
|
||||
else:
|
||||
return idaapi.find_binary(start, end, " ".join(["%02x" % ord(b) for b in seq]), 0, idaapi.SEARCH_DOWN)
|
||||
seqstr = " ".join(["%02x" % b for b in seq])
|
||||
while True:
|
||||
# TODO find_binary: Deprecated. Please use ida_bytes.bin_search() instead.
|
||||
ea = idaapi.find_binary(start, end, seqstr, 0, idaapi.SEARCH_DOWN)
|
||||
if ea == idaapi.BADADDR:
|
||||
break
|
||||
start = ea + 1
|
||||
yield ea
|
||||
|
||||
|
||||
def get_functions(start=None, end=None, skip_thunks=False, skip_libs=False):
|
||||
def get_functions(
|
||||
start: Optional[int] = None, end: Optional[int] = None, skip_thunks: bool = False, skip_libs: bool = False
|
||||
) -> Iterator[FunctionHandle]:
|
||||
"""get functions, range optional
|
||||
|
||||
args:
|
||||
start: min virtual address
|
||||
end: max virtual address
|
||||
|
||||
ret:
|
||||
yield func_t*
|
||||
"""
|
||||
for ea in idautils.Functions(start=start, end=end):
|
||||
f = idaapi.get_func(ea)
|
||||
if not (skip_thunks and (f.flags & idaapi.FUNC_THUNK) or skip_libs and (f.flags & idaapi.FUNC_LIB)):
|
||||
yield f
|
||||
yield FunctionHandle(address=AbsoluteVirtualAddress(ea), inner=f)
|
||||
|
||||
|
||||
def get_segments(skip_header_segments=False):
|
||||
def get_segments(skip_header_segments=False) -> Iterator[idaapi.segment_t]:
|
||||
"""get list of segments (sections) in the binary image
|
||||
|
||||
args:
|
||||
@@ -57,7 +62,7 @@ def get_segments(skip_header_segments=False):
|
||||
yield seg
|
||||
|
||||
|
||||
def get_segment_buffer(seg):
|
||||
def get_segment_buffer(seg: idaapi.segment_t) -> bytes:
|
||||
"""return bytes stored in a given segment
|
||||
|
||||
decrease buffer size until IDA is able to read bytes from the segment
|
||||
@@ -75,8 +80,8 @@ def get_segment_buffer(seg):
|
||||
return buff if buff else b""
|
||||
|
||||
|
||||
def get_file_imports():
|
||||
""" get file imports """
|
||||
def get_file_imports() -> Dict[int, Tuple[str, str, int]]:
|
||||
"""get file imports"""
|
||||
imports = {}
|
||||
|
||||
for idx in range(idaapi.get_import_module_qty()):
|
||||
@@ -85,10 +90,18 @@ def get_file_imports():
|
||||
if not library:
|
||||
continue
|
||||
|
||||
# IDA uses section names for the library of ELF imports, like ".dynsym"
|
||||
library = library.lstrip(".")
|
||||
|
||||
def inspect_import(ea, function, ordinal):
|
||||
if function and function.startswith("__imp_"):
|
||||
# handle mangled names starting
|
||||
# handle mangled PE imports
|
||||
function = function[len("__imp_") :]
|
||||
|
||||
if function and "@@" in function:
|
||||
# handle mangled ELF imports, like "fopen@@glibc_2.2.5"
|
||||
function, _, _ = function.partition("@@")
|
||||
|
||||
imports[ea] = (library.lower(), function, ordinal)
|
||||
return True
|
||||
|
||||
@@ -97,14 +110,25 @@ def get_file_imports():
|
||||
return imports
|
||||
|
||||
|
||||
def get_instructions_in_range(start, end):
|
||||
def get_file_externs() -> Dict[int, Tuple[str, str, int]]:
|
||||
externs = {}
|
||||
|
||||
for seg in get_segments(skip_header_segments=True):
|
||||
if not (seg.type == ida_segment.SEG_XTRN):
|
||||
continue
|
||||
|
||||
for ea in idautils.Functions(seg.start_ea, seg.end_ea):
|
||||
externs[ea] = ("", idaapi.get_func_name(ea), -1)
|
||||
|
||||
return externs
|
||||
|
||||
|
||||
def get_instructions_in_range(start: int, end: int) -> Iterator[idaapi.insn_t]:
|
||||
"""yield instructions in range
|
||||
|
||||
args:
|
||||
start: virtual address (inclusive)
|
||||
end: virtual address (exclusive)
|
||||
yield:
|
||||
(insn_t*)
|
||||
"""
|
||||
for head in idautils.Heads(start, end):
|
||||
insn = idautils.DecodeInstruction(head)
|
||||
@@ -112,8 +136,8 @@ def get_instructions_in_range(start, end):
|
||||
yield insn
|
||||
|
||||
|
||||
def is_operand_equal(op1, op2):
|
||||
""" compare two IDA op_t """
|
||||
def is_operand_equal(op1: idaapi.op_t, op2: idaapi.op_t) -> bool:
|
||||
"""compare two IDA op_t"""
|
||||
if op1.flags != op2.flags:
|
||||
return False
|
||||
|
||||
@@ -138,8 +162,8 @@ def is_operand_equal(op1, op2):
|
||||
return True
|
||||
|
||||
|
||||
def is_basic_block_equal(bb1, bb2):
|
||||
""" compare two IDA BasicBlock """
|
||||
def is_basic_block_equal(bb1: idaapi.BasicBlock, bb2: idaapi.BasicBlock) -> bool:
|
||||
"""compare two IDA BasicBlock"""
|
||||
if bb1.start_ea != bb2.start_ea:
|
||||
return False
|
||||
|
||||
@@ -152,13 +176,17 @@ def is_basic_block_equal(bb1, bb2):
|
||||
return True
|
||||
|
||||
|
||||
def basic_block_size(bb):
|
||||
""" calculate size of basic block """
|
||||
def basic_block_size(bb: idaapi.BasicBlock) -> int:
|
||||
"""calculate size of basic block"""
|
||||
return bb.end_ea - bb.start_ea
|
||||
|
||||
|
||||
def read_bytes_at(ea, count):
|
||||
def read_bytes_at(ea: int, count: int) -> bytes:
|
||||
""" """
|
||||
# check if byte has a value, see get_wide_byte doc
|
||||
if not idc.is_loaded(ea):
|
||||
return b""
|
||||
|
||||
segm_end = idc.get_segm_end(ea)
|
||||
if ea + count > segm_end:
|
||||
return idc.get_bytes(ea, segm_end - ea)
|
||||
@@ -166,10 +194,10 @@ def read_bytes_at(ea, count):
|
||||
return idc.get_bytes(ea, count)
|
||||
|
||||
|
||||
def find_string_at(ea, min=4):
|
||||
""" check if ASCII string exists at a given virtual address """
|
||||
def find_string_at(ea: int, min_: int = 4) -> str:
|
||||
"""check if ASCII string exists at a given virtual address"""
|
||||
found = idaapi.get_strlit_contents(ea, -1, idaapi.STRTYPE_C)
|
||||
if found and len(found) > min:
|
||||
if found and len(found) >= min_:
|
||||
try:
|
||||
found = found.decode("ascii")
|
||||
# hacky check for IDA bug; get_strlit_contents also reads Unicode as
|
||||
@@ -183,7 +211,7 @@ def find_string_at(ea, min=4):
|
||||
return ""
|
||||
|
||||
|
||||
def get_op_phrase_info(op):
|
||||
def get_op_phrase_info(op: idaapi.op_t) -> Dict:
|
||||
"""parse phrase features from operand
|
||||
|
||||
Pretty much dup of sark's implementation:
|
||||
@@ -193,7 +221,8 @@ def get_op_phrase_info(op):
|
||||
return {}
|
||||
|
||||
scale = 1 << ((op.specflag2 & 0xC0) >> 6)
|
||||
offset = op.addr
|
||||
# IDA ea_t may be 32- or 64-bit; we assume displacement can only be 32-bit
|
||||
offset = op.addr & 0xFFFFFFFF
|
||||
|
||||
if op.specflag1 == 0:
|
||||
index = None
|
||||
@@ -220,24 +249,24 @@ def get_op_phrase_info(op):
|
||||
return {"base": base, "index": index, "scale": scale, "offset": offset}
|
||||
|
||||
|
||||
def is_op_write(insn, op):
|
||||
""" Check if an operand is written to (destination operand) """
|
||||
def is_op_write(insn: idaapi.insn_t, op: idaapi.op_t) -> bool:
|
||||
"""Check if an operand is written to (destination operand)"""
|
||||
return idaapi.has_cf_chg(insn.get_canon_feature(), op.n)
|
||||
|
||||
|
||||
def is_op_read(insn, op):
|
||||
""" Check if an operand is read from (source operand) """
|
||||
def is_op_read(insn: idaapi.insn_t, op: idaapi.op_t) -> bool:
|
||||
"""Check if an operand is read from (source operand)"""
|
||||
return idaapi.has_cf_use(insn.get_canon_feature(), op.n)
|
||||
|
||||
|
||||
def is_op_offset(insn, op):
|
||||
""" Check is an operand has been marked as an offset (by auto-analysis or manually) """
|
||||
def is_op_offset(insn: idaapi.insn_t, op: idaapi.op_t) -> bool:
|
||||
"""Check is an operand has been marked as an offset (by auto-analysis or manually)"""
|
||||
flags = idaapi.get_flags(insn.ea)
|
||||
return ida_bytes.is_off(flags, op.n)
|
||||
|
||||
|
||||
def is_sp_modified(insn):
|
||||
""" determine if instruction modifies SP, ESP, RSP """
|
||||
def is_sp_modified(insn: idaapi.insn_t) -> bool:
|
||||
"""determine if instruction modifies SP, ESP, RSP"""
|
||||
for op in get_insn_ops(insn, target_ops=(idaapi.o_reg,)):
|
||||
if op.reg == idautils.procregs.sp.reg and is_op_write(insn, op):
|
||||
# register is stack and written
|
||||
@@ -245,8 +274,8 @@ def is_sp_modified(insn):
|
||||
return False
|
||||
|
||||
|
||||
def is_bp_modified(insn):
|
||||
""" check if instruction modifies BP, EBP, RBP """
|
||||
def is_bp_modified(insn: idaapi.insn_t) -> bool:
|
||||
"""check if instruction modifies BP, EBP, RBP"""
|
||||
for op in get_insn_ops(insn, target_ops=(idaapi.o_reg,)):
|
||||
if op.reg == idautils.procregs.bp.reg and is_op_write(insn, op):
|
||||
# register is base and written
|
||||
@@ -254,13 +283,13 @@ def is_bp_modified(insn):
|
||||
return False
|
||||
|
||||
|
||||
def is_frame_register(reg):
|
||||
""" check if register is sp or bp """
|
||||
def is_frame_register(reg: int) -> bool:
|
||||
"""check if register is sp or bp"""
|
||||
return reg in (idautils.procregs.sp.reg, idautils.procregs.bp.reg)
|
||||
|
||||
|
||||
def get_insn_ops(insn, target_ops=()):
|
||||
""" yield op_t for instruction, filter on type if specified """
|
||||
def get_insn_ops(insn: idaapi.insn_t, target_ops: Optional[Tuple[Any]] = None) -> idaapi.op_t:
|
||||
"""yield op_t for instruction, filter on type if specified"""
|
||||
for op in insn.ops:
|
||||
if op.type == idaapi.o_void:
|
||||
# avoid looping all 6 ops if only subset exists
|
||||
@@ -270,12 +299,12 @@ def get_insn_ops(insn, target_ops=()):
|
||||
yield op
|
||||
|
||||
|
||||
def is_op_stack_var(ea, index):
|
||||
""" check if operand is a stack variable """
|
||||
def is_op_stack_var(ea: int, index: int) -> bool:
|
||||
"""check if operand is a stack variable"""
|
||||
return idaapi.is_stkvar(idaapi.get_flags(ea), index)
|
||||
|
||||
|
||||
def mask_op_val(op):
|
||||
def mask_op_val(op: idaapi.op_t) -> int:
|
||||
"""mask value by data type
|
||||
|
||||
necessary due to a bug in AMD64
|
||||
@@ -295,26 +324,18 @@ def mask_op_val(op):
|
||||
return masks.get(op.dtype, op.value) & op.value
|
||||
|
||||
|
||||
def is_function_recursive(f):
|
||||
"""check if function is recursive
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
"""
|
||||
def is_function_recursive(f: idaapi.func_t) -> bool:
|
||||
"""check if function is recursive"""
|
||||
for ref in idautils.CodeRefsTo(f.start_ea, True):
|
||||
if f.contains(ref):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def is_basic_block_tight_loop(bb):
|
||||
def is_basic_block_tight_loop(bb: idaapi.BasicBlock) -> bool:
|
||||
"""check basic block loops to self
|
||||
|
||||
true if last instruction in basic block branches to basic block start
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
"""
|
||||
bb_end = idc.prev_head(bb.end_ea)
|
||||
if bb.start_ea < bb_end:
|
||||
@@ -324,8 +345,8 @@ def is_basic_block_tight_loop(bb):
|
||||
return False
|
||||
|
||||
|
||||
def find_data_reference_from_insn(insn, max_depth=10):
|
||||
""" search for data reference from instruction, return address of instruction if no reference exists """
|
||||
def find_data_reference_from_insn(insn: idaapi.insn_t, max_depth: int = 10) -> int:
|
||||
"""search for data reference from instruction, return address of instruction if no reference exists"""
|
||||
depth = 0
|
||||
ea = insn.ea
|
||||
|
||||
@@ -340,6 +361,10 @@ def find_data_reference_from_insn(insn, max_depth=10):
|
||||
# break if circular reference
|
||||
break
|
||||
|
||||
if not idaapi.is_mapped(data_refs[0]):
|
||||
# break if address is not mapped
|
||||
break
|
||||
|
||||
depth += 1
|
||||
if depth > max_depth:
|
||||
# break if max depth
|
||||
@@ -350,19 +375,18 @@ def find_data_reference_from_insn(insn, max_depth=10):
|
||||
return ea
|
||||
|
||||
|
||||
def get_function_blocks(f):
|
||||
"""yield basic blocks contained in specified function
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
yield:
|
||||
block (IDA BasicBlock)
|
||||
"""
|
||||
def get_function_blocks(f: idaapi.func_t) -> Iterator[idaapi.BasicBlock]:
|
||||
"""yield basic blocks contained in specified function"""
|
||||
# leverage idaapi.FC_NOEXT flag to ignore useless external blocks referenced by the function
|
||||
for block in idaapi.FlowChart(f, flags=(idaapi.FC_PREDS | idaapi.FC_NOEXT)):
|
||||
yield block
|
||||
|
||||
|
||||
def is_basic_block_return(bb):
|
||||
""" check if basic block is return block """
|
||||
def is_basic_block_return(bb: idaapi.BasicBlock) -> bool:
|
||||
"""check if basic block is return block"""
|
||||
return bb.type == idaapi.fcb_ret
|
||||
|
||||
|
||||
def has_sib(oper: idaapi.op_t) -> bool:
|
||||
# via: https://reverseengineering.stackexchange.com/a/14300
|
||||
return oper.specflag1 == 1
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import Any, Dict, Tuple, Iterator
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
@@ -12,87 +13,112 @@ import idautils
|
||||
|
||||
import capa.features.extractors.helpers
|
||||
import capa.features.extractors.ida.helpers
|
||||
from capa.features import ARCH_X32, ARCH_X64, MAX_BYTES_FEATURE_SIZE, Bytes, String, Characteristic
|
||||
from capa.features.insn import API, Number, Offset, Mnemonic
|
||||
from capa.features.insn import API, MAX_STRUCTURE_SIZE, Number, Offset, Mnemonic, OperandNumber, OperandOffset
|
||||
from capa.features.common import MAX_BYTES_FEATURE_SIZE, THUNK_CHAIN_DEPTH_DELTA, Bytes, String, Feature, Characteristic
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle
|
||||
|
||||
# security cookie checks may perform non-zeroing XORs, these are expected within a certain
|
||||
# byte range within the first and returning basic blocks, this helps to reduce FP features
|
||||
SECURITY_COOKIE_BYTES_DELTA = 0x40
|
||||
|
||||
|
||||
def get_arch(ctx):
|
||||
"""
|
||||
fetch the ARCH_* constant for the currently open workspace.
|
||||
|
||||
via Tamir Bahar/@tmr232
|
||||
https://reverseengineering.stackexchange.com/a/11398/17194
|
||||
"""
|
||||
if "arch" not in ctx:
|
||||
info = idaapi.get_inf_structure()
|
||||
if info.is_64bit():
|
||||
ctx["arch"] = ARCH_X64
|
||||
elif info.is_32bit():
|
||||
ctx["arch"] = ARCH_X32
|
||||
else:
|
||||
raise ValueError("unexpected architecture")
|
||||
return ctx["arch"]
|
||||
|
||||
|
||||
def get_imports(ctx):
|
||||
def get_imports(ctx: Dict[str, Any]) -> Dict[int, Any]:
|
||||
if "imports_cache" not in ctx:
|
||||
ctx["imports_cache"] = capa.features.extractors.ida.helpers.get_file_imports()
|
||||
return ctx["imports_cache"]
|
||||
|
||||
|
||||
def check_for_api_call(ctx, insn):
|
||||
""" check instruction for API call """
|
||||
if not idaapi.is_call_insn(insn):
|
||||
return
|
||||
def get_externs(ctx: Dict[str, Any]) -> Dict[int, Any]:
|
||||
if "externs_cache" not in ctx:
|
||||
ctx["externs_cache"] = capa.features.extractors.ida.helpers.get_file_externs()
|
||||
return ctx["externs_cache"]
|
||||
|
||||
for ref in idautils.CodeRefsFrom(insn.ea, False):
|
||||
info = get_imports(ctx).get(ref, ())
|
||||
|
||||
def check_for_api_call(insn: idaapi.insn_t, funcs: Dict[int, Any]) -> Iterator[Any]:
|
||||
"""check instruction for API call"""
|
||||
info = ()
|
||||
ref = insn.ea
|
||||
|
||||
# attempt to resolve API calls by following chained thunks to a reasonable depth
|
||||
for _ in range(THUNK_CHAIN_DEPTH_DELTA):
|
||||
# assume only one code/data ref when resolving "call" or "jmp"
|
||||
try:
|
||||
ref = tuple(idautils.CodeRefsFrom(ref, False))[0]
|
||||
except IndexError:
|
||||
try:
|
||||
# thunks may be marked as data refs
|
||||
ref = tuple(idautils.DataRefsFrom(ref))[0]
|
||||
except IndexError:
|
||||
break
|
||||
|
||||
info = funcs.get(ref, ())
|
||||
if info:
|
||||
yield "%s.%s" % (info[0], info[1])
|
||||
else:
|
||||
f = idaapi.get_func(ref)
|
||||
# check if call to thunk
|
||||
# TODO: first instruction might not always be the thunk
|
||||
if f and (f.flags & idaapi.FUNC_THUNK):
|
||||
for thunk_ref in idautils.DataRefsFrom(ref):
|
||||
# TODO: always data ref for thunk??
|
||||
info = get_imports(ctx).get(thunk_ref, ())
|
||||
if info:
|
||||
yield "%s.%s" % (info[0], info[1])
|
||||
break
|
||||
|
||||
f = idaapi.get_func(ref)
|
||||
if not f or not (f.flags & idaapi.FUNC_THUNK):
|
||||
break
|
||||
|
||||
if info:
|
||||
yield info
|
||||
|
||||
|
||||
def extract_insn_api_features(f, bb, insn):
|
||||
"""parse instruction API features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
def extract_insn_api_features(fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse instruction API features
|
||||
|
||||
example:
|
||||
call dword [0x00473038]
|
||||
call dword [0x00473038]
|
||||
"""
|
||||
for api in check_for_api_call(f.ctx, insn):
|
||||
dll, _, symbol = api.rpartition(".")
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield API(name), insn.ea
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if not insn.get_canon_mnem() in ("call", "jmp"):
|
||||
return
|
||||
|
||||
# check calls to imported functions
|
||||
for api in check_for_api_call(insn, get_imports(fh.ctx)):
|
||||
# tuple (<module>, <function>, <ordinal>)
|
||||
for name in capa.features.extractors.helpers.generate_symbols(api[0], api[1]):
|
||||
yield API(name), ih.address
|
||||
|
||||
# check calls to extern functions
|
||||
for api in check_for_api_call(insn, get_externs(fh.ctx)):
|
||||
# tuple (<module>, <function>, <ordinal>)
|
||||
yield API(api[1]), ih.address
|
||||
|
||||
# extract IDA/FLIRT recognized API functions
|
||||
targets = tuple(idautils.CodeRefsFrom(insn.ea, False))
|
||||
if not targets:
|
||||
return
|
||||
|
||||
target = targets[0]
|
||||
target_func = idaapi.get_func(target)
|
||||
if not target_func or target_func.start_ea != target:
|
||||
# not a function (start)
|
||||
return
|
||||
|
||||
if target_func.flags & idaapi.FUNC_LIB:
|
||||
name = idaapi.get_name(target_func.start_ea)
|
||||
yield API(name), ih.address
|
||||
if name.startswith("_"):
|
||||
# some linkers may prefix linked routines with a `_` to avoid name collisions.
|
||||
# extract features for both the mangled and un-mangled representations.
|
||||
# e.g. `_fwrite` -> `fwrite`
|
||||
# see: https://stackoverflow.com/a/2628384/87207
|
||||
yield API(name[1:]), ih.address
|
||||
|
||||
|
||||
def extract_insn_number_features(f, bb, insn):
|
||||
"""parse instruction number features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
|
||||
def extract_insn_number_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse instruction number features
|
||||
example:
|
||||
push 3136B0h ; dwControlCode
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if idaapi.is_ret_insn(insn):
|
||||
# skip things like:
|
||||
# .text:0042250E retn 8
|
||||
@@ -103,7 +129,11 @@ def extract_insn_number_features(f, bb, insn):
|
||||
# .text:00401145 add esp, 0Ch
|
||||
return
|
||||
|
||||
for op in capa.features.extractors.ida.helpers.get_insn_ops(insn, target_ops=(idaapi.o_imm, idaapi.o_mem)):
|
||||
for i, op in enumerate(insn.ops):
|
||||
if op.type == idaapi.o_void:
|
||||
break
|
||||
if op.type not in (idaapi.o_imm, idaapi.o_mem):
|
||||
continue
|
||||
# skip things like:
|
||||
# .text:00401100 shr eax, offset loc_C
|
||||
if capa.features.extractors.ida.helpers.is_op_offset(insn, op):
|
||||
@@ -114,62 +144,82 @@ def extract_insn_number_features(f, bb, insn):
|
||||
else:
|
||||
const = op.addr
|
||||
|
||||
yield Number(const), insn.ea
|
||||
yield Number(const, arch=get_arch(f.ctx)), insn.ea
|
||||
yield Number(const), ih.address
|
||||
yield OperandNumber(i, const), ih.address
|
||||
|
||||
if insn.itype == idaapi.NN_add and 0 < const < MAX_STRUCTURE_SIZE and op.type == idaapi.o_imm:
|
||||
# for pattern like:
|
||||
#
|
||||
# add eax, 0x10
|
||||
#
|
||||
# assume 0x10 is also an offset (imagine eax is a pointer).
|
||||
yield Offset(const), ih.address
|
||||
yield OperandOffset(i, const), ih.address
|
||||
|
||||
|
||||
def extract_insn_bytes_features(f, bb, insn):
|
||||
"""parse referenced byte sequences
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
|
||||
def extract_insn_bytes_features(fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse referenced byte sequences
|
||||
example:
|
||||
push offset iid_004118d4_IShellLinkA ; riid
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if idaapi.is_call_insn(insn):
|
||||
return
|
||||
|
||||
ref = capa.features.extractors.ida.helpers.find_data_reference_from_insn(insn)
|
||||
if ref != insn.ea:
|
||||
extracted_bytes = capa.features.extractors.ida.helpers.read_bytes_at(ref, MAX_BYTES_FEATURE_SIZE)
|
||||
if extracted_bytes and not capa.features.extractors.helpers.all_zeros(extracted_bytes):
|
||||
yield Bytes(extracted_bytes), insn.ea
|
||||
if not capa.features.extractors.ida.helpers.find_string_at(insn.ea):
|
||||
# don't extract byte features for obvious strings
|
||||
yield Bytes(extracted_bytes), ih.address
|
||||
|
||||
|
||||
def extract_insn_string_features(f, bb, insn):
|
||||
"""parse instruction string features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
def extract_insn_string_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse instruction string features
|
||||
|
||||
example:
|
||||
push offset aAcr ; "ACR > "
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
ref = capa.features.extractors.ida.helpers.find_data_reference_from_insn(insn)
|
||||
if ref != insn.ea:
|
||||
found = capa.features.extractors.ida.helpers.find_string_at(ref)
|
||||
if found:
|
||||
yield String(found), insn.ea
|
||||
yield String(found), ih.address
|
||||
|
||||
|
||||
def extract_insn_offset_features(f, bb, insn):
|
||||
"""parse instruction structure offset features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
def extract_insn_offset_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse instruction structure offset features
|
||||
|
||||
example:
|
||||
.text:0040112F cmp [esi+4], ebx
|
||||
"""
|
||||
for op in capa.features.extractors.ida.helpers.get_insn_ops(insn, target_ops=(idaapi.o_phrase, idaapi.o_displ)):
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
for i, op in enumerate(insn.ops):
|
||||
if op.type == idaapi.o_void:
|
||||
break
|
||||
if op.type not in (idaapi.o_phrase, idaapi.o_displ):
|
||||
continue
|
||||
if capa.features.extractors.ida.helpers.is_op_stack_var(insn.ea, op.n):
|
||||
continue
|
||||
|
||||
p_info = capa.features.extractors.ida.helpers.get_op_phrase_info(op)
|
||||
op_off = p_info.get("offset", 0)
|
||||
|
||||
op_off = p_info.get("offset", None)
|
||||
if op_off is None:
|
||||
continue
|
||||
|
||||
if idaapi.is_mapped(op_off):
|
||||
# Ignore:
|
||||
# mov esi, dword_1005B148[esi]
|
||||
@@ -180,12 +230,32 @@ def extract_insn_offset_features(f, bb, insn):
|
||||
# https://stackoverflow.com/questions/31853189/x86-64-assembly-why-displacement-not-64-bits
|
||||
op_off = capa.features.extractors.helpers.twos_complement(op_off, 32)
|
||||
|
||||
yield Offset(op_off), insn.ea
|
||||
yield Offset(op_off, arch=get_arch(f.ctx)), insn.ea
|
||||
yield Offset(op_off), ih.address
|
||||
yield OperandOffset(i, op_off), ih.address
|
||||
|
||||
if (
|
||||
insn.itype == idaapi.NN_lea
|
||||
and i == 1
|
||||
# o_displ is used for both:
|
||||
# [eax+1]
|
||||
# [eax+ebx+2]
|
||||
and op.type == idaapi.o_displ
|
||||
# but the SIB is only present for [eax+ebx+2]
|
||||
# which we don't want
|
||||
and not capa.features.extractors.ida.helpers.has_sib(op)
|
||||
):
|
||||
# for pattern like:
|
||||
#
|
||||
# lea eax, [ebx + 1]
|
||||
#
|
||||
# assume 1 is also an offset (imagine ebx is a zero register).
|
||||
yield Number(op_off), ih.address
|
||||
yield OperandNumber(i, op_off), ih.address
|
||||
|
||||
|
||||
def contains_stack_cookie_keywords(s):
|
||||
"""check if string contains stack cookie keywords
|
||||
def contains_stack_cookie_keywords(s: str) -> bool:
|
||||
"""
|
||||
check if string contains stack cookie keywords
|
||||
|
||||
Examples:
|
||||
xor ecx, ebp ; StackCookie
|
||||
@@ -199,7 +269,7 @@ def contains_stack_cookie_keywords(s):
|
||||
return any(keyword in s for keyword in ("stack", "security"))
|
||||
|
||||
|
||||
def bb_stack_cookie_registers(bb):
|
||||
def bb_stack_cookie_registers(bb: idaapi.BasicBlock) -> Iterator[int]:
|
||||
"""scan basic block for stack cookie operations
|
||||
|
||||
yield registers ids that may have been used for stack cookie operations
|
||||
@@ -233,8 +303,8 @@ def bb_stack_cookie_registers(bb):
|
||||
yield op.reg
|
||||
|
||||
|
||||
def is_nzxor_stack_cookie_delta(f, bb, insn):
|
||||
""" check if nzxor exists within stack cookie delta """
|
||||
def is_nzxor_stack_cookie_delta(f: idaapi.func_t, bb: idaapi.BasicBlock, insn: idaapi.insn_t) -> bool:
|
||||
"""check if nzxor exists within stack cookie delta"""
|
||||
# security cookie check should use SP or BP
|
||||
if not capa.features.extractors.ida.helpers.is_frame_register(insn.Op2.reg):
|
||||
return False
|
||||
@@ -256,8 +326,8 @@ def is_nzxor_stack_cookie_delta(f, bb, insn):
|
||||
return False
|
||||
|
||||
|
||||
def is_nzxor_stack_cookie(f, bb, insn):
|
||||
""" check if nzxor is related to stack cookie """
|
||||
def is_nzxor_stack_cookie(f: idaapi.func_t, bb: idaapi.BasicBlock, insn: idaapi.insn_t) -> bool:
|
||||
"""check if nzxor is related to stack cookie"""
|
||||
if contains_stack_cookie_keywords(idaapi.get_cmt(insn.ea, False)):
|
||||
# Example:
|
||||
# xor ecx, ebp ; StackCookie
|
||||
@@ -273,37 +343,49 @@ def is_nzxor_stack_cookie(f, bb, insn):
|
||||
return False
|
||||
|
||||
|
||||
def extract_insn_nzxor_characteristic_features(f, bb, insn):
|
||||
"""parse instruction non-zeroing XOR instruction
|
||||
|
||||
ignore expected non-zeroing XORs, e.g. security cookies
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
def extract_insn_nzxor_characteristic_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
if insn.itype != idaapi.NN_xor:
|
||||
parse instruction non-zeroing XOR instruction
|
||||
ignore expected non-zeroing XORs, e.g. security cookies
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if insn.itype not in (idaapi.NN_xor, idaapi.NN_xorpd, idaapi.NN_xorps, idaapi.NN_pxor):
|
||||
return
|
||||
if capa.features.extractors.ida.helpers.is_operand_equal(insn.Op1, insn.Op2):
|
||||
return
|
||||
if is_nzxor_stack_cookie(f, bb, insn):
|
||||
if is_nzxor_stack_cookie(fh.inner, bbh.inner, insn):
|
||||
return
|
||||
yield Characteristic("nzxor"), insn.ea
|
||||
yield Characteristic("nzxor"), ih.address
|
||||
|
||||
|
||||
def extract_insn_mnemonic_features(f, bb, insn):
|
||||
"""parse instruction mnemonic features
|
||||
def extract_insn_mnemonic_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction mnemonic features"""
|
||||
yield Mnemonic(idc.print_insn_mnem(ih.inner.ea)), ih.address
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
|
||||
def extract_insn_obfs_call_plus_5_characteristic_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
yield Mnemonic(insn.get_canon_mnem()), insn.ea
|
||||
parse call $+5 instruction from the given instruction.
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if not idaapi.is_call_insn(insn):
|
||||
return
|
||||
|
||||
if insn.ea + 5 == idc.get_operand_value(insn.ea, 0):
|
||||
yield Characteristic("call $+5"), ih.address
|
||||
|
||||
|
||||
def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
def extract_insn_peb_access_characteristic_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction peb access
|
||||
|
||||
fs:[0x30] on x86, gs:[0x60] on x64
|
||||
@@ -311,6 +393,8 @@ def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
TODO:
|
||||
IDA should be able to do this..
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if insn.itype not in (idaapi.NN_push, idaapi.NN_mov):
|
||||
return
|
||||
|
||||
@@ -322,15 +406,19 @@ def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
|
||||
if " fs:30h" in disasm or " gs:60h" in disasm:
|
||||
# TODO: replace above with proper IDA
|
||||
yield Characteristic("peb access"), insn.ea
|
||||
yield Characteristic("peb access"), ih.address
|
||||
|
||||
|
||||
def extract_insn_segment_access_features(f, bb, insn):
|
||||
def extract_insn_segment_access_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse instruction fs or gs access
|
||||
|
||||
TODO:
|
||||
IDA should be able to do this...
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if all(map(lambda op: op.type != idaapi.o_mem, insn.ops)):
|
||||
# try to optimize for only memory references
|
||||
return
|
||||
@@ -339,23 +427,21 @@ def extract_insn_segment_access_features(f, bb, insn):
|
||||
|
||||
if " fs:" in disasm:
|
||||
# TODO: replace above with proper IDA
|
||||
yield Characteristic("fs access"), insn.ea
|
||||
yield Characteristic("fs access"), ih.address
|
||||
|
||||
if " gs:" in disasm:
|
||||
# TODO: replace above with proper IDA
|
||||
yield Characteristic("gs access"), insn.ea
|
||||
yield Characteristic("gs access"), ih.address
|
||||
|
||||
|
||||
def extract_insn_cross_section_cflow(f, bb, insn):
|
||||
"""inspect the instruction for a CALL or JMP that crosses section boundaries
|
||||
def extract_insn_cross_section_cflow(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""inspect the instruction for a CALL or JMP that crosses section boundaries"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
"""
|
||||
for ref in idautils.CodeRefsFrom(insn.ea, False):
|
||||
if ref in get_imports(f.ctx).keys():
|
||||
if ref in get_imports(fh.ctx).keys():
|
||||
# ignore API calls
|
||||
continue
|
||||
if not idaapi.getseg(ref):
|
||||
@@ -363,50 +449,40 @@ def extract_insn_cross_section_cflow(f, bb, insn):
|
||||
continue
|
||||
if idaapi.getseg(ref) == idaapi.getseg(insn.ea):
|
||||
continue
|
||||
yield Characteristic("cross section flow"), insn.ea
|
||||
yield Characteristic("cross section flow"), ih.address
|
||||
|
||||
|
||||
def extract_function_calls_from(f, bb, insn):
|
||||
def extract_function_calls_from(fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract functions calls from features
|
||||
|
||||
most relevant at the function scope, however, its most efficient to extract at the instruction scope
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if idaapi.is_call_insn(insn):
|
||||
for ref in idautils.CodeRefsFrom(insn.ea, False):
|
||||
yield Characteristic("calls from"), ref
|
||||
yield Characteristic("calls from"), AbsoluteVirtualAddress(ref)
|
||||
|
||||
|
||||
def extract_function_indirect_call_characteristic_features(f, bb, insn):
|
||||
def extract_function_indirect_call_characteristic_features(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract indirect function calls (e.g., call eax or call dword ptr [edx+4])
|
||||
does not include calls like => call ds:dword_ABD4974
|
||||
|
||||
most relevant at the function or basic block scope;
|
||||
however, its most efficient to extract at the instruction scope
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
"""
|
||||
insn: idaapi.insn_t = ih.inner
|
||||
|
||||
if idaapi.is_call_insn(insn) and idc.get_operand_type(insn.ea, 0) in (idc.o_reg, idc.o_phrase, idc.o_displ):
|
||||
yield Characteristic("indirect call"), insn.ea
|
||||
yield Characteristic("indirect call"), ih.address
|
||||
|
||||
|
||||
def extract_features(f, bb, insn):
|
||||
"""extract instruction features
|
||||
|
||||
args:
|
||||
f (IDA func_t)
|
||||
bb (IDA BasicBlock)
|
||||
insn (IDA insn_t)
|
||||
"""
|
||||
def extract_features(f: FunctionHandle, bbh: BBHandle, insn: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""extract instruction features"""
|
||||
for inst_handler in INSTRUCTION_HANDLERS:
|
||||
for (feature, ea) in inst_handler(f, bb, insn):
|
||||
for feature, ea in inst_handler(f, bbh, insn):
|
||||
yield feature, ea
|
||||
|
||||
|
||||
@@ -418,6 +494,7 @@ INSTRUCTION_HANDLERS = (
|
||||
extract_insn_offset_features,
|
||||
extract_insn_nzxor_characteristic_features,
|
||||
extract_insn_mnemonic_features,
|
||||
extract_insn_obfs_call_plus_5_characteristic_features,
|
||||
extract_insn_peb_access_characteristic_features,
|
||||
extract_insn_cross_section_cflow,
|
||||
extract_insn_segment_access_features,
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,7 +6,7 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from networkx import nx
|
||||
import networkx
|
||||
from networkx.algorithms.components import strongly_connected_components
|
||||
|
||||
|
||||
@@ -20,6 +20,6 @@ def has_loop(edges, threshold=2):
|
||||
returns:
|
||||
bool
|
||||
"""
|
||||
g = nx.DiGraph()
|
||||
g = networkx.DiGraph()
|
||||
g.add_edges_from(edges)
|
||||
return any(len(comp) >= threshold for comp in strongly_connected_components(g))
|
||||
|
||||
72
capa/features/extractors/null.py
Normal file
72
capa/features/extractors/null.py
Normal file
@@ -0,0 +1,72 @@
|
||||
from typing import Dict, List, Tuple
|
||||
from dataclasses import dataclass
|
||||
|
||||
from capa.features.common import Feature
|
||||
from capa.features.address import NO_ADDRESS, Address
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle, FeatureExtractor
|
||||
|
||||
|
||||
@dataclass
|
||||
class InstructionFeatures:
|
||||
features: List[Tuple[Address, Feature]]
|
||||
|
||||
|
||||
@dataclass
|
||||
class BasicBlockFeatures:
|
||||
features: List[Tuple[Address, Feature]]
|
||||
instructions: Dict[Address, InstructionFeatures]
|
||||
|
||||
|
||||
@dataclass
|
||||
class FunctionFeatures:
|
||||
features: List[Tuple[Address, Feature]]
|
||||
basic_blocks: Dict[Address, BasicBlockFeatures]
|
||||
|
||||
|
||||
@dataclass
|
||||
class NullFeatureExtractor(FeatureExtractor):
|
||||
"""
|
||||
An extractor that extracts some user-provided features.
|
||||
|
||||
This is useful for testing, as we can provide expected values and see if matching works.
|
||||
"""
|
||||
|
||||
base_address: Address
|
||||
global_features: List[Feature]
|
||||
file_features: List[Tuple[Address, Feature]]
|
||||
functions: Dict[Address, FunctionFeatures]
|
||||
|
||||
def get_base_address(self):
|
||||
return self.base_address
|
||||
|
||||
def extract_global_features(self):
|
||||
for feature in self.global_features:
|
||||
yield feature, NO_ADDRESS
|
||||
|
||||
def extract_file_features(self):
|
||||
for address, feature in self.file_features:
|
||||
yield feature, address
|
||||
|
||||
def get_functions(self):
|
||||
for address in sorted(self.functions.keys()):
|
||||
yield FunctionHandle(address, None)
|
||||
|
||||
def extract_function_features(self, f):
|
||||
for address, feature in self.functions[f.address].features:
|
||||
yield feature, address
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
for address in sorted(self.functions[f.address].basic_blocks.keys()):
|
||||
yield BBHandle(address, None)
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
for address, feature in self.functions[f.address].basic_blocks[bb.address].features:
|
||||
yield feature, address
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
for address in sorted(self.functions[f.address].basic_blocks[bb.address].instructions.keys()):
|
||||
yield InsnHandle(address, None)
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
for address, feature in self.functions[f.address].basic_blocks[bb.address].instructions[insn.address].features:
|
||||
yield feature, address
|
||||
218
capa/features/extractors/pefile.py
Normal file
218
capa/features/extractors/pefile.py
Normal file
@@ -0,0 +1,218 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import logging
|
||||
|
||||
import pefile
|
||||
|
||||
import capa.features.common
|
||||
import capa.features.extractors
|
||||
import capa.features.extractors.common
|
||||
import capa.features.extractors.helpers
|
||||
import capa.features.extractors.strings
|
||||
from capa.features.file import Export, Import, Section
|
||||
from capa.features.common import OS, ARCH_I386, FORMAT_PE, ARCH_AMD64, OS_WINDOWS, Arch, Format, Characteristic
|
||||
from capa.features.address import NO_ADDRESS, FileOffsetAddress, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import FeatureExtractor
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_file_embedded_pe(buf, **kwargs):
|
||||
for offset, _ in capa.features.extractors.helpers.carve_pe(buf, 1):
|
||||
yield Characteristic("embedded pe"), FileOffsetAddress(offset)
|
||||
|
||||
|
||||
def extract_file_export_names(pe, **kwargs):
|
||||
base_address = pe.OPTIONAL_HEADER.ImageBase
|
||||
|
||||
if hasattr(pe, "DIRECTORY_ENTRY_EXPORT"):
|
||||
for export in pe.DIRECTORY_ENTRY_EXPORT.symbols:
|
||||
if not export.name:
|
||||
continue
|
||||
try:
|
||||
name = export.name.partition(b"\x00")[0].decode("ascii")
|
||||
except UnicodeDecodeError:
|
||||
continue
|
||||
va = base_address + export.address
|
||||
yield Export(name), AbsoluteVirtualAddress(va)
|
||||
|
||||
|
||||
def extract_file_import_names(pe, **kwargs):
|
||||
"""
|
||||
extract imported function names
|
||||
1. imports by ordinal:
|
||||
- modulename.#ordinal
|
||||
2. imports by name, results in two features to support importname-only matching:
|
||||
- modulename.importname
|
||||
- importname
|
||||
"""
|
||||
if hasattr(pe, "DIRECTORY_ENTRY_IMPORT"):
|
||||
for dll in pe.DIRECTORY_ENTRY_IMPORT:
|
||||
try:
|
||||
modname = dll.dll.partition(b"\x00")[0].decode("ascii")
|
||||
except UnicodeDecodeError:
|
||||
continue
|
||||
|
||||
# strip extension
|
||||
modname = modname.rpartition(".")[0].lower()
|
||||
|
||||
for imp in dll.imports:
|
||||
if imp.import_by_ordinal:
|
||||
impname = "#%s" % imp.ordinal
|
||||
else:
|
||||
try:
|
||||
impname = imp.name.partition(b"\x00")[0].decode("ascii")
|
||||
except UnicodeDecodeError:
|
||||
continue
|
||||
|
||||
for name in capa.features.extractors.helpers.generate_symbols(modname, impname):
|
||||
yield Import(name), AbsoluteVirtualAddress(imp.address)
|
||||
|
||||
|
||||
def extract_file_section_names(pe, **kwargs):
|
||||
base_address = pe.OPTIONAL_HEADER.ImageBase
|
||||
|
||||
for section in pe.sections:
|
||||
try:
|
||||
name = section.Name.partition(b"\x00")[0].decode("ascii")
|
||||
except UnicodeDecodeError:
|
||||
continue
|
||||
|
||||
yield Section(name), AbsoluteVirtualAddress(base_address + section.VirtualAddress)
|
||||
|
||||
|
||||
def extract_file_strings(buf, **kwargs):
|
||||
yield from capa.features.extractors.common.extract_file_strings(buf)
|
||||
|
||||
|
||||
def extract_file_function_names(**kwargs):
|
||||
"""
|
||||
extract the names of statically-linked library functions.
|
||||
"""
|
||||
if False:
|
||||
# using a `yield` here to force this to be a generator, not function.
|
||||
yield NotImplementedError("pefile doesn't have library matching")
|
||||
return
|
||||
|
||||
|
||||
def extract_file_os(**kwargs):
|
||||
# assuming PE -> Windows
|
||||
# though i suppose they're also used by UEFI
|
||||
yield OS(OS_WINDOWS), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_format(**kwargs):
|
||||
yield Format(FORMAT_PE), NO_ADDRESS
|
||||
|
||||
|
||||
def extract_file_arch(pe, **kwargs):
|
||||
if pe.FILE_HEADER.Machine == pefile.MACHINE_TYPE["IMAGE_FILE_MACHINE_I386"]:
|
||||
yield Arch(ARCH_I386), NO_ADDRESS
|
||||
elif pe.FILE_HEADER.Machine == pefile.MACHINE_TYPE["IMAGE_FILE_MACHINE_AMD64"]:
|
||||
yield Arch(ARCH_AMD64), NO_ADDRESS
|
||||
else:
|
||||
logger.warning("unsupported architecture: %s", pefile.MACHINE_TYPE[pe.FILE_HEADER.Machine])
|
||||
|
||||
|
||||
def extract_file_features(pe, buf):
|
||||
"""
|
||||
extract file features from given workspace
|
||||
|
||||
args:
|
||||
pe (pefile.PE): the parsed PE
|
||||
buf: the raw sample bytes
|
||||
|
||||
yields:
|
||||
Tuple[Feature, VA]: a feature and its location.
|
||||
"""
|
||||
|
||||
for file_handler in FILE_HANDLERS:
|
||||
# file_handler: type: (pe, bytes) -> Iterable[Tuple[Feature, Address]]
|
||||
for feature, va in file_handler(pe=pe, buf=buf): # type: ignore
|
||||
yield feature, va
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
extract_file_embedded_pe,
|
||||
extract_file_export_names,
|
||||
extract_file_import_names,
|
||||
extract_file_section_names,
|
||||
extract_file_strings,
|
||||
extract_file_function_names,
|
||||
extract_file_format,
|
||||
)
|
||||
|
||||
|
||||
def extract_global_features(pe, buf):
|
||||
"""
|
||||
extract global features from given workspace
|
||||
|
||||
args:
|
||||
pe (pefile.PE): the parsed PE
|
||||
buf: the raw sample bytes
|
||||
|
||||
yields:
|
||||
Tuple[Feature, VA]: a feature and its location.
|
||||
"""
|
||||
for handler in GLOBAL_HANDLERS:
|
||||
# file_handler: type: (pe, bytes) -> Iterable[Tuple[Feature, Address]]
|
||||
for feature, va in handler(pe=pe, buf=buf): # type: ignore
|
||||
yield feature, va
|
||||
|
||||
|
||||
GLOBAL_HANDLERS = (
|
||||
extract_file_os,
|
||||
extract_file_arch,
|
||||
)
|
||||
|
||||
|
||||
class PefileFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, path: str):
|
||||
super().__init__()
|
||||
self.path = path
|
||||
self.pe = pefile.PE(path)
|
||||
|
||||
def get_base_address(self):
|
||||
return AbsoluteVirtualAddress(self.pe.OPTIONAL_HEADER.ImageBase)
|
||||
|
||||
def extract_global_features(self):
|
||||
with open(self.path, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
yield from extract_global_features(self.pe, buf)
|
||||
|
||||
def extract_file_features(self):
|
||||
with open(self.path, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
yield from extract_file_features(self.pe, buf)
|
||||
|
||||
def get_functions(self):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def extract_function_features(self, f):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def is_library_function(self, va):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
|
||||
def get_function_name(self, va):
|
||||
raise NotImplementedError("PefileFeatureExtract can only be used to extract file features")
|
||||
@@ -1,6 +1,6 @@
|
||||
# strings code from FLOSS, https://github.com/fireeye/flare-floss
|
||||
# strings code from FLOSS, https://github.com/mandiant/flare-floss
|
||||
#
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
|
||||
@@ -1,85 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import types
|
||||
|
||||
import file
|
||||
import insn
|
||||
import function
|
||||
import viv_utils
|
||||
import basicblock
|
||||
|
||||
import capa.features.extractors
|
||||
import capa.features.extractors.viv.file
|
||||
import capa.features.extractors.viv.insn
|
||||
import capa.features.extractors.viv.function
|
||||
import capa.features.extractors.viv.basicblock
|
||||
from capa.features.extractors import FeatureExtractor
|
||||
|
||||
__all__ = ["file", "function", "basicblock", "insn"]
|
||||
|
||||
|
||||
def get_va(self):
|
||||
try:
|
||||
# vivisect type
|
||||
return self.va
|
||||
except AttributeError:
|
||||
pass
|
||||
|
||||
raise TypeError()
|
||||
|
||||
|
||||
def add_va_int_cast(o):
|
||||
"""
|
||||
dynamically add a cast-to-int (`__int__`) method to the given object
|
||||
that returns the value of the `.va` property.
|
||||
|
||||
this bit of skullduggery lets use cast viv-utils objects as ints.
|
||||
the correct way of doing this is to update viv-utils (or subclass the objects here).
|
||||
"""
|
||||
setattr(o, "__int__", types.MethodType(get_va, o, type(o)))
|
||||
return o
|
||||
|
||||
|
||||
class VivisectFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, vw, path):
|
||||
super(VivisectFeatureExtractor, self).__init__()
|
||||
self.vw = vw
|
||||
self.path = path
|
||||
|
||||
def get_base_address(self):
|
||||
# assume there is only one file loaded into the vw
|
||||
return list(self.vw.filemeta.values())[0]["imagebase"]
|
||||
|
||||
def extract_file_features(self):
|
||||
for feature, va in capa.features.extractors.viv.file.extract_features(self.vw, self.path):
|
||||
yield feature, va
|
||||
|
||||
def get_functions(self):
|
||||
for va in sorted(self.vw.getFunctions()):
|
||||
yield add_va_int_cast(viv_utils.Function(self.vw, va))
|
||||
|
||||
def extract_function_features(self, f):
|
||||
for feature, va in capa.features.extractors.viv.function.extract_features(f):
|
||||
yield feature, va
|
||||
|
||||
def get_basic_blocks(self, f):
|
||||
for bb in f.basic_blocks:
|
||||
yield add_va_int_cast(bb)
|
||||
|
||||
def extract_basic_block_features(self, f, bb):
|
||||
for feature, va in capa.features.extractors.viv.basicblock.extract_features(f, bb):
|
||||
yield feature, va
|
||||
|
||||
def get_instructions(self, f, bb):
|
||||
for insn in bb.instructions:
|
||||
yield add_va_int_cast(insn)
|
||||
|
||||
def extract_insn_features(self, f, bb, insn):
|
||||
for feature, va in capa.features.extractors.viv.insn.extract_features(f, bb, insn):
|
||||
yield feature, va
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -8,27 +8,30 @@
|
||||
|
||||
import string
|
||||
import struct
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import envi
|
||||
import vivisect.const
|
||||
import envi.archs.i386.disasm
|
||||
|
||||
from capa.features import Characteristic
|
||||
from capa.features.common import Feature, Characteristic
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.basicblock import BasicBlock
|
||||
from capa.features.extractors.helpers import MIN_STACKSTRING_LEN
|
||||
from capa.features.extractors.base_extractor import BBHandle, FunctionHandle
|
||||
|
||||
|
||||
def interface_extract_basic_block_XXX(f, bb):
|
||||
def interface_extract_basic_block_XXX(f: FunctionHandle, bb: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse features from the given basic block.
|
||||
|
||||
args:
|
||||
f (viv_utils.Function): the function to process.
|
||||
bb (viv_utils.BasicBlock): the basic block to process.
|
||||
f: the function to process.
|
||||
bb: the basic block to process.
|
||||
|
||||
yields:
|
||||
(Feature, int): the feature and the address at which its found.
|
||||
(Feature, Address): the feature and the address at which its found.
|
||||
"""
|
||||
yield NotImplementedError("feature"), NotImplementedError("virtual address")
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
def _bb_has_tight_loop(f, bb):
|
||||
@@ -37,17 +40,17 @@ def _bb_has_tight_loop(f, bb):
|
||||
"""
|
||||
if len(bb.instructions) > 0:
|
||||
for bva, bflags in bb.instructions[-1].getBranches():
|
||||
if bflags & vivisect.envi.BR_COND:
|
||||
if bflags & envi.BR_COND:
|
||||
if bva == bb.va:
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
|
||||
def extract_bb_tight_loop(f, bb):
|
||||
""" check basic block for tight loop indicators """
|
||||
if _bb_has_tight_loop(f, bb):
|
||||
yield Characteristic("tight loop"), bb.va
|
||||
def extract_bb_tight_loop(f: FunctionHandle, bb: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""check basic block for tight loop indicators"""
|
||||
if _bb_has_tight_loop(f, bb.inner):
|
||||
yield Characteristic("tight loop"), bb.address
|
||||
|
||||
|
||||
def _bb_has_stackstring(f, bb):
|
||||
@@ -67,13 +70,13 @@ def _bb_has_stackstring(f, bb):
|
||||
return False
|
||||
|
||||
|
||||
def extract_stackstring(f, bb):
|
||||
""" check basic block for stackstring indicators """
|
||||
if _bb_has_stackstring(f, bb):
|
||||
yield Characteristic("stack string"), bb.va
|
||||
def extract_stackstring(f: FunctionHandle, bb: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""check basic block for stackstring indicators"""
|
||||
if _bb_has_stackstring(f, bb.inner):
|
||||
yield Characteristic("stack string"), bb.address
|
||||
|
||||
|
||||
def is_mov_imm_to_stack(instr):
|
||||
def is_mov_imm_to_stack(instr: envi.archs.i386.disasm.i386Opcode) -> bool:
|
||||
"""
|
||||
Return if instruction moves immediate onto stack
|
||||
"""
|
||||
@@ -105,7 +108,7 @@ def is_mov_imm_to_stack(instr):
|
||||
return True
|
||||
|
||||
|
||||
def get_printable_len(oper):
|
||||
def get_printable_len(oper: envi.archs.i386.disasm.i386ImmOper) -> int:
|
||||
"""
|
||||
Return string length if all operand bytes are ascii or utf16-le printable
|
||||
"""
|
||||
@@ -117,23 +120,33 @@ def get_printable_len(oper):
|
||||
chars = struct.pack("<I", oper.imm)
|
||||
elif oper.tsize == 8:
|
||||
chars = struct.pack("<Q", oper.imm)
|
||||
else:
|
||||
raise ValueError("unexpected oper.tsize: %d" % (oper.tsize))
|
||||
|
||||
if is_printable_ascii(chars):
|
||||
return oper.tsize
|
||||
if is_printable_utf16le(chars):
|
||||
elif is_printable_utf16le(chars):
|
||||
return oper.tsize / 2
|
||||
return 0
|
||||
else:
|
||||
return 0
|
||||
|
||||
|
||||
def is_printable_ascii(chars):
|
||||
return all(ord(c) < 127 and c in string.printable for c in chars)
|
||||
def is_printable_ascii(chars: bytes) -> bool:
|
||||
try:
|
||||
chars_str = chars.decode("ascii")
|
||||
except UnicodeDecodeError:
|
||||
return False
|
||||
else:
|
||||
return all(c in string.printable for c in chars_str)
|
||||
|
||||
|
||||
def is_printable_utf16le(chars):
|
||||
if all(c == "\x00" for c in chars[1::2]):
|
||||
def is_printable_utf16le(chars: bytes) -> bool:
|
||||
if all(c == b"\x00" for c in chars[1::2]):
|
||||
return is_printable_ascii(chars[::2])
|
||||
return False
|
||||
|
||||
|
||||
def extract_features(f, bb):
|
||||
def extract_features(f: FunctionHandle, bb: BBHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract features from the given basic block.
|
||||
|
||||
@@ -142,12 +155,12 @@ def extract_features(f, bb):
|
||||
bb (viv_utils.BasicBlock): the basic block to process.
|
||||
|
||||
yields:
|
||||
Feature, set[VA]: the features and their location found in this basic block.
|
||||
Tuple[Feature, int]: the features and their location found in this basic block.
|
||||
"""
|
||||
yield BasicBlock(), bb.va
|
||||
yield BasicBlock(), AbsoluteVirtualAddress(bb.inner.va)
|
||||
for bb_handler in BASIC_BLOCK_HANDLERS:
|
||||
for feature, va in bb_handler(f, bb):
|
||||
yield feature, va
|
||||
for feature, addr in bb_handler(f, bb):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
BASIC_BLOCK_HANDLERS = (
|
||||
|
||||
80
capa/features/extractors/viv/extractor.py
Normal file
80
capa/features/extractors/viv/extractor.py
Normal file
@@ -0,0 +1,80 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import logging
|
||||
from typing import List, Tuple, Iterator
|
||||
|
||||
import viv_utils
|
||||
import viv_utils.flirt
|
||||
|
||||
import capa.features.extractors.common
|
||||
import capa.features.extractors.viv.file
|
||||
import capa.features.extractors.viv.insn
|
||||
import capa.features.extractors.viv.global_
|
||||
import capa.features.extractors.viv.function
|
||||
import capa.features.extractors.viv.basicblock
|
||||
from capa.features.common import Feature
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle, FeatureExtractor
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class VivisectFeatureExtractor(FeatureExtractor):
|
||||
def __init__(self, vw, path):
|
||||
super().__init__()
|
||||
self.vw = vw
|
||||
self.path = path
|
||||
with open(self.path, "rb") as f:
|
||||
self.buf = f.read()
|
||||
|
||||
# pre-compute these because we'll yield them at *every* scope.
|
||||
self.global_features: List[Tuple[Feature, Address]] = []
|
||||
self.global_features.extend(capa.features.extractors.viv.file.extract_file_format(self.buf))
|
||||
self.global_features.extend(capa.features.extractors.common.extract_os(self.buf))
|
||||
self.global_features.extend(capa.features.extractors.viv.global_.extract_arch(self.vw))
|
||||
|
||||
def get_base_address(self):
|
||||
# assume there is only one file loaded into the vw
|
||||
return AbsoluteVirtualAddress(list(self.vw.filemeta.values())[0]["imagebase"])
|
||||
|
||||
def extract_global_features(self):
|
||||
yield from self.global_features
|
||||
|
||||
def extract_file_features(self):
|
||||
yield from capa.features.extractors.viv.file.extract_features(self.vw, self.buf)
|
||||
|
||||
def get_functions(self) -> Iterator[FunctionHandle]:
|
||||
for va in sorted(self.vw.getFunctions()):
|
||||
yield FunctionHandle(address=AbsoluteVirtualAddress(va), inner=viv_utils.Function(self.vw, va))
|
||||
|
||||
def extract_function_features(self, fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.viv.function.extract_features(fh)
|
||||
|
||||
def get_basic_blocks(self, fh: FunctionHandle) -> Iterator[BBHandle]:
|
||||
f: viv_utils.Function = fh.inner
|
||||
for bb in f.basic_blocks:
|
||||
yield BBHandle(address=AbsoluteVirtualAddress(bb.va), inner=bb)
|
||||
|
||||
def extract_basic_block_features(self, fh: FunctionHandle, bbh) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.viv.basicblock.extract_features(fh, bbh)
|
||||
|
||||
def get_instructions(self, fh: FunctionHandle, bbh: BBHandle) -> Iterator[InsnHandle]:
|
||||
bb: viv_utils.BasicBlock = bbh.inner
|
||||
for insn in bb.instructions:
|
||||
yield InsnHandle(address=AbsoluteVirtualAddress(insn.va), inner=insn)
|
||||
|
||||
def extract_insn_features(
|
||||
self, fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.viv.insn.extract_features(fh, bbh, ih)
|
||||
|
||||
def is_library_function(self, addr):
|
||||
return viv_utils.flirt.is_library_function(self.vw, addr)
|
||||
|
||||
def get_function_name(self, addr):
|
||||
return viv_utils.get_function_name(self.vw, addr)
|
||||
@@ -1,33 +1,36 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import PE.carve as pe_carve # vivisect PE
|
||||
import viv_utils
|
||||
import viv_utils.flirt
|
||||
|
||||
import capa.features.insn
|
||||
import capa.features.extractors.common
|
||||
import capa.features.extractors.helpers
|
||||
import capa.features.extractors.strings
|
||||
from capa.features import String, Characteristic
|
||||
from capa.features.file import Export, Import, Section
|
||||
from capa.features.file import Export, Import, Section, FunctionName
|
||||
from capa.features.common import String, Feature, Characteristic
|
||||
from capa.features.address import Address, FileOffsetAddress, AbsoluteVirtualAddress
|
||||
|
||||
|
||||
def extract_file_embedded_pe(vw, file_path):
|
||||
with open(file_path, "rb") as f:
|
||||
fbytes = f.read()
|
||||
|
||||
for offset, i in pe_carve.carve(fbytes, 1):
|
||||
yield Characteristic("embedded pe"), offset
|
||||
def extract_file_embedded_pe(buf, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
for offset, _ in pe_carve.carve(buf, 1):
|
||||
yield Characteristic("embedded pe"), FileOffsetAddress(offset)
|
||||
|
||||
|
||||
def extract_file_export_names(vw, file_path):
|
||||
for va, etype, name, _ in vw.getExports():
|
||||
yield Export(name), va
|
||||
def extract_file_export_names(vw, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
for va, _, name, _ in vw.getExports():
|
||||
yield Export(name), AbsoluteVirtualAddress(va)
|
||||
|
||||
|
||||
def extract_file_import_names(vw, file_path):
|
||||
def extract_file_import_names(vw, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract imported function names
|
||||
1. imports by ordinal:
|
||||
@@ -38,16 +41,17 @@ def extract_file_import_names(vw, file_path):
|
||||
"""
|
||||
for va, _, _, tinfo in vw.getImports():
|
||||
# vivisect source: tinfo = "%s.%s" % (libname, impname)
|
||||
modname, impname = tinfo.split(".")
|
||||
modname, impname = tinfo.split(".", 1)
|
||||
if is_viv_ord_impname(impname):
|
||||
# replace ord prefix with #
|
||||
impname = "#%s" % impname[len("ord") :]
|
||||
|
||||
addr = AbsoluteVirtualAddress(va)
|
||||
for name in capa.features.extractors.helpers.generate_symbols(modname, impname):
|
||||
yield Import(name), va
|
||||
yield Import(name), addr
|
||||
|
||||
|
||||
def is_viv_ord_impname(impname):
|
||||
def is_viv_ord_impname(impname: str) -> bool:
|
||||
"""
|
||||
return if import name matches vivisect's ordinal naming scheme `'ord%d' % ord`
|
||||
"""
|
||||
@@ -61,40 +65,51 @@ def is_viv_ord_impname(impname):
|
||||
return True
|
||||
|
||||
|
||||
def extract_file_section_names(vw, file_path):
|
||||
def extract_file_section_names(vw, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
for va, _, segname, _ in vw.getSegments():
|
||||
yield Section(segname), va
|
||||
yield Section(segname), AbsoluteVirtualAddress(va)
|
||||
|
||||
|
||||
def extract_file_strings(vw, file_path):
|
||||
def extract_file_strings(buf, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.common.extract_file_strings(buf)
|
||||
|
||||
|
||||
def extract_file_function_names(vw, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract ASCII and UTF-16 LE strings from file
|
||||
extract the names of statically-linked library functions.
|
||||
"""
|
||||
with open(file_path, "rb") as f:
|
||||
b = f.read()
|
||||
|
||||
for s in capa.features.extractors.strings.extract_ascii_strings(b):
|
||||
yield String(s.s), s.offset
|
||||
|
||||
for s in capa.features.extractors.strings.extract_unicode_strings(b):
|
||||
yield String(s.s), s.offset
|
||||
for va in sorted(vw.getFunctions()):
|
||||
addr = AbsoluteVirtualAddress(va)
|
||||
if viv_utils.flirt.is_library_function(vw, va):
|
||||
name = viv_utils.get_function_name(vw, va)
|
||||
yield FunctionName(name), addr
|
||||
if name.startswith("_"):
|
||||
# some linkers may prefix linked routines with a `_` to avoid name collisions.
|
||||
# extract features for both the mangled and un-mangled representations.
|
||||
# e.g. `_fwrite` -> `fwrite`
|
||||
# see: https://stackoverflow.com/a/2628384/87207
|
||||
yield FunctionName(name[1:]), addr
|
||||
|
||||
|
||||
def extract_features(vw, file_path):
|
||||
def extract_file_format(buf, **kwargs) -> Iterator[Tuple[Feature, Address]]:
|
||||
yield from capa.features.extractors.common.extract_format(buf)
|
||||
|
||||
|
||||
def extract_features(vw, buf: bytes) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract file features from given workspace
|
||||
|
||||
args:
|
||||
vw (vivisect.VivWorkspace): the vivisect workspace
|
||||
file_path: path to the input file
|
||||
buf: the raw input file bytes
|
||||
|
||||
yields:
|
||||
Tuple[Feature, VA]: a feature and its location.
|
||||
Tuple[Feature, Address]: a feature and its location.
|
||||
"""
|
||||
|
||||
for file_handler in FILE_HANDLERS:
|
||||
for feature, va in file_handler(vw, file_path):
|
||||
yield feature, va
|
||||
for feature, addr in file_handler(vw=vw, buf=buf): # type: ignore
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FILE_HANDLERS = (
|
||||
@@ -103,4 +118,6 @@ FILE_HANDLERS = (
|
||||
extract_file_import_names,
|
||||
extract_file_section_names,
|
||||
extract_file_strings,
|
||||
extract_file_function_names,
|
||||
extract_file_format,
|
||||
)
|
||||
|
||||
@@ -1,39 +1,47 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import envi
|
||||
import viv_utils
|
||||
import vivisect.const
|
||||
|
||||
from capa.features import Characteristic
|
||||
from capa.features.common import Feature, Characteristic
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors import loops
|
||||
from capa.features.extractors.base_extractor import FunctionHandle
|
||||
|
||||
|
||||
def interface_extract_function_XXX(f):
|
||||
def interface_extract_function_XXX(fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse features from the given function.
|
||||
|
||||
args:
|
||||
f (viv_utils.Function): the function to process.
|
||||
f: the function to process.
|
||||
|
||||
yields:
|
||||
(Feature, int): the feature and the address at which its found.
|
||||
(Feature, Address): the feature and the address at which its found.
|
||||
"""
|
||||
yield NotImplementedError("feature"), NotImplementedError("virtual address")
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
def extract_function_calls_to(f):
|
||||
def extract_function_calls_to(fhandle: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
f: viv_utils.Function = fhandle.inner
|
||||
for src, _, _, _ in f.vw.getXrefsTo(f.va, rtype=vivisect.const.REF_CODE):
|
||||
yield Characteristic("calls to"), src
|
||||
yield Characteristic("calls to"), AbsoluteVirtualAddress(src)
|
||||
|
||||
|
||||
def extract_function_loop(f):
|
||||
def extract_function_loop(fhandle: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse if a function has a loop
|
||||
"""
|
||||
f: viv_utils.Function = fhandle.inner
|
||||
|
||||
edges = []
|
||||
|
||||
for bb in f.basic_blocks:
|
||||
@@ -41,30 +49,30 @@ def extract_function_loop(f):
|
||||
for bva, bflags in bb.instructions[-1].getBranches():
|
||||
# vivisect does not set branch flags for non-conditional jmp so add explicit check
|
||||
if (
|
||||
bflags & vivisect.envi.BR_COND
|
||||
or bflags & vivisect.envi.BR_FALL
|
||||
or bflags & vivisect.envi.BR_TABLE
|
||||
bflags & envi.BR_COND
|
||||
or bflags & envi.BR_FALL
|
||||
or bflags & envi.BR_TABLE
|
||||
or bb.instructions[-1].mnem == "jmp"
|
||||
):
|
||||
edges.append((bb.va, bva))
|
||||
|
||||
if edges and loops.has_loop(edges):
|
||||
yield Characteristic("loop"), f.va
|
||||
yield Characteristic("loop"), fhandle.address
|
||||
|
||||
|
||||
def extract_features(f):
|
||||
def extract_features(fh: FunctionHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract features from the given function.
|
||||
|
||||
args:
|
||||
f (viv_utils.Function): the function from which to extract features
|
||||
fh: the function handle from which to extract features
|
||||
|
||||
yields:
|
||||
Feature, set[VA]: the features and their location found in this function.
|
||||
Tuple[Feature, int]: the features and their location found in this function.
|
||||
"""
|
||||
for func_handler in FUNCTION_HANDLERS:
|
||||
for feature, va in func_handler(f):
|
||||
yield feature, va
|
||||
for feature, addr in func_handler(fh):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
FUNCTION_HANDLERS = (extract_function_calls_to, extract_function_loop)
|
||||
|
||||
26
capa/features/extractors/viv/global_.py
Normal file
26
capa/features/extractors/viv/global_.py
Normal file
@@ -0,0 +1,26 @@
|
||||
import logging
|
||||
from typing import Tuple, Iterator
|
||||
|
||||
import envi.archs.i386
|
||||
import envi.archs.amd64
|
||||
|
||||
from capa.features.common import ARCH_I386, ARCH_AMD64, Arch, Feature
|
||||
from capa.features.address import NO_ADDRESS, Address
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def extract_arch(vw) -> Iterator[Tuple[Feature, Address]]:
|
||||
if isinstance(vw.arch, envi.archs.amd64.Amd64Module):
|
||||
yield Arch(ARCH_AMD64), NO_ADDRESS
|
||||
|
||||
elif isinstance(vw.arch, envi.archs.i386.i386Module):
|
||||
yield Arch(ARCH_I386), NO_ADDRESS
|
||||
|
||||
else:
|
||||
# we likely end up here:
|
||||
# 1. handling a new architecture (e.g. aarch64)
|
||||
#
|
||||
# for (1), this logic will need to be updated as the format is implemented.
|
||||
logger.debug("unsupported architecture: %s", vw.arch.__class__.__name__)
|
||||
return
|
||||
23
capa/features/extractors/viv/helpers.py
Normal file
23
capa/features/extractors/viv/helpers.py
Normal file
@@ -0,0 +1,23 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import Optional
|
||||
|
||||
from vivisect import VivWorkspace
|
||||
from vivisect.const import XR_TO, REF_CODE
|
||||
|
||||
|
||||
def get_coderef_from(vw: VivWorkspace, va: int) -> Optional[int]:
|
||||
"""
|
||||
return first code `tova` whose origin is the specified va
|
||||
return None if no code reference is found
|
||||
"""
|
||||
xrefs = vw.getXrefsFrom(va, REF_CODE)
|
||||
if len(xrefs) > 0:
|
||||
return xrefs[0][XR_TO]
|
||||
else:
|
||||
return None
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -7,11 +7,13 @@
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import collections
|
||||
from typing import Set, List, Deque, Tuple, Union, Optional
|
||||
|
||||
import envi
|
||||
import vivisect.const
|
||||
import envi.archs.i386.disasm
|
||||
import envi.archs.amd64.disasm
|
||||
from vivisect import VivWorkspace
|
||||
|
||||
# pull out consts for lookup performance
|
||||
i386RegOper = envi.archs.i386.disasm.i386RegOper
|
||||
@@ -26,7 +28,7 @@ FAR_BRANCH_MASK = envi.BR_PROC | envi.BR_DEREF | envi.BR_ARCH
|
||||
DESTRUCTIVE_MNEMONICS = ("mov", "lea", "pop", "xor")
|
||||
|
||||
|
||||
def get_previous_instructions(vw, va):
|
||||
def get_previous_instructions(vw: VivWorkspace, va: int) -> List[int]:
|
||||
"""
|
||||
collect the instructions that flow to the given address, local to the current function.
|
||||
|
||||
@@ -40,22 +42,24 @@ def get_previous_instructions(vw, va):
|
||||
ret = []
|
||||
|
||||
# find the immediate prior instruction.
|
||||
# ensure that it fallsthrough to this one.
|
||||
# ensure that it falls through to this one.
|
||||
loc = vw.getPrevLocation(va, adjacent=True)
|
||||
if loc is not None:
|
||||
# from vivisect.const:
|
||||
# location: (L_VA, L_SIZE, L_LTYPE, L_TINFO)
|
||||
(pva, _, ptype, pinfo) = vw.getPrevLocation(va, adjacent=True)
|
||||
ploc = vw.getPrevLocation(va, adjacent=True)
|
||||
if ploc is not None:
|
||||
# from vivisect.const:
|
||||
# location: (L_VA, L_SIZE, L_LTYPE, L_TINFO)
|
||||
(pva, _, ptype, pinfo) = ploc
|
||||
|
||||
if ptype == LOC_OP and not (pinfo & IF_NOFALL):
|
||||
ret.append(pva)
|
||||
if ptype == LOC_OP and not (pinfo & IF_NOFALL):
|
||||
ret.append(pva)
|
||||
|
||||
# find any code refs, e.g. jmp, to this location.
|
||||
# ignore any calls.
|
||||
#
|
||||
# from vivisect.const:
|
||||
# xref: (XR_FROM, XR_TO, XR_RTYPE, XR_RFLAG)
|
||||
for (xfrom, _, _, xflag) in vw.getXrefsTo(va, REF_CODE):
|
||||
for xfrom, _, _, xflag in vw.getXrefsTo(va, REF_CODE):
|
||||
if (xflag & FAR_BRANCH_MASK) != 0:
|
||||
continue
|
||||
ret.append(xfrom)
|
||||
@@ -67,7 +71,7 @@ class NotFoundError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
def find_definition(vw, va, reg):
|
||||
def find_definition(vw: VivWorkspace, va: int, reg: int) -> Tuple[int, Union[int, None]]:
|
||||
"""
|
||||
scan backwards from the given address looking for assignments to the given register.
|
||||
if a constant, return that value.
|
||||
@@ -83,8 +87,8 @@ def find_definition(vw, va, reg):
|
||||
raises:
|
||||
NotFoundError: when the definition cannot be found.
|
||||
"""
|
||||
q = collections.deque()
|
||||
seen = set([])
|
||||
q = collections.deque() # type: Deque[int]
|
||||
seen = set([]) # type: Set[int]
|
||||
|
||||
q.extend(get_previous_instructions(vw, va))
|
||||
while q:
|
||||
@@ -128,14 +132,14 @@ def find_definition(vw, va, reg):
|
||||
raise NotFoundError()
|
||||
|
||||
|
||||
def is_indirect_call(vw, va, insn=None):
|
||||
def is_indirect_call(vw: VivWorkspace, va: int, insn: envi.Opcode) -> bool:
|
||||
if insn is None:
|
||||
insn = vw.parseOpcode(va)
|
||||
|
||||
return insn.mnem == "call" and isinstance(insn.opers[0], envi.archs.i386.disasm.i386RegOper)
|
||||
return insn.mnem in ("call", "jmp") and isinstance(insn.opers[0], envi.archs.i386.disasm.i386RegOper)
|
||||
|
||||
|
||||
def resolve_indirect_call(vw, va, insn=None):
|
||||
def resolve_indirect_call(vw: VivWorkspace, va: int, insn: envi.Opcode) -> Tuple[int, Optional[int]]:
|
||||
"""
|
||||
inspect the given indirect call instruction and attempt to resolve the target address.
|
||||
|
||||
|
||||
@@ -1,18 +1,28 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
from typing import List, Tuple, Callable, Iterator
|
||||
|
||||
import envi
|
||||
import envi.exc
|
||||
import viv_utils
|
||||
import envi.memory
|
||||
import vivisect.const
|
||||
import viv_utils.flirt
|
||||
import envi.archs.i386.regs
|
||||
import envi.archs.amd64.regs
|
||||
import envi.archs.i386.disasm
|
||||
import envi.archs.amd64.disasm
|
||||
|
||||
import capa.features.extractors.helpers
|
||||
from capa.features import ARCH_X32, ARCH_X64, MAX_BYTES_FEATURE_SIZE, Bytes, String, Characteristic
|
||||
from capa.features.insn import API, Number, Offset, Mnemonic
|
||||
import capa.features.extractors.viv.helpers
|
||||
from capa.features.insn import API, MAX_STRUCTURE_SIZE, Number, Offset, Mnemonic, OperandNumber, OperandOffset
|
||||
from capa.features.common import MAX_BYTES_FEATURE_SIZE, THUNK_CHAIN_DEPTH_DELTA, Bytes, String, Feature, Characteristic
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle
|
||||
from capa.features.extractors.viv.indirect_calls import NotFoundError, resolve_indirect_call
|
||||
|
||||
# security cookie checks may perform non-zeroing XORs, these are expected within a certain
|
||||
@@ -20,27 +30,21 @@ from capa.features.extractors.viv.indirect_calls import NotFoundError, resolve_i
|
||||
SECURITY_COOKIE_BYTES_DELTA = 0x40
|
||||
|
||||
|
||||
def get_arch(vw):
|
||||
arch = vw.getMeta("Architecture")
|
||||
if arch == "i386":
|
||||
return ARCH_X32
|
||||
elif arch == "amd64":
|
||||
return ARCH_X64
|
||||
|
||||
|
||||
def interface_extract_instruction_XXX(f, bb, insn):
|
||||
def interface_extract_instruction_XXX(
|
||||
fh: FunctionHandle, bbh: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse features from the given instruction.
|
||||
|
||||
args:
|
||||
f (viv_utils.Function): the function to process.
|
||||
bb (viv_utils.BasicBlock): the basic block to process.
|
||||
insn (vivisect...Instruction): the instruction to process.
|
||||
fh: the function handle to process.
|
||||
bbh: the basic block handle to process.
|
||||
ih: the instruction handle to process.
|
||||
|
||||
yields:
|
||||
(Feature, int): the feature and the address at which its found.
|
||||
(Feature, Address): the feature and the address at which its found.
|
||||
"""
|
||||
yield NotImplementedError("feature"), NotImplementedError("virtual address")
|
||||
raise NotImplementedError
|
||||
|
||||
|
||||
def get_imports(vw):
|
||||
@@ -60,16 +64,22 @@ def get_imports(vw):
|
||||
return imports
|
||||
|
||||
|
||||
def extract_insn_api_features(f, bb, insn):
|
||||
"""parse API features from the given instruction."""
|
||||
def extract_insn_api_features(fh: FunctionHandle, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse API features from the given instruction.
|
||||
|
||||
# example:
|
||||
#
|
||||
# call dword [0x00473038]
|
||||
|
||||
if insn.mnem != "call":
|
||||
example:
|
||||
call dword [0x00473038]
|
||||
"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
if insn.mnem not in ("call", "jmp"):
|
||||
return
|
||||
|
||||
if insn.mnem == "jmp":
|
||||
if f.vw.getFunctionMeta(f.va, "Thunk"):
|
||||
return
|
||||
|
||||
# traditional call via IAT
|
||||
if isinstance(insn.opers[0], envi.archs.i386.disasm.i386ImmMemOper):
|
||||
oper = insn.opers[0]
|
||||
@@ -79,27 +89,50 @@ def extract_insn_api_features(f, bb, insn):
|
||||
if target in imports:
|
||||
dll, symbol = imports[target]
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield API(name), insn.va
|
||||
yield API(name), ih.address
|
||||
|
||||
# call via thunk on x86,
|
||||
# see 9324d1a8ae37a36ae560c37448c9705a at 0x407985
|
||||
#
|
||||
# this is also how calls to internal functions may be decoded on x64.
|
||||
# this is also how calls to internal functions may be decoded on x32 and x64.
|
||||
# see Lab21-01.exe_:0x140001178
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386PcRelOper):
|
||||
target = insn.opers[0].getOperValue(insn)
|
||||
#
|
||||
# follow chained thunks, e.g. in 82bf6347acf15e5d883715dc289d8a2b at 0x14005E0FF in
|
||||
# 0x140059342 (viv) / 0x14005E0C0 (IDA)
|
||||
# 14005E0FF call j_ElfClearEventLogFileW (14005AAF8)
|
||||
# 14005AAF8 jmp ElfClearEventLogFileW (14005E196)
|
||||
# 14005E196 jmp cs:__imp_ElfClearEventLogFileW
|
||||
|
||||
try:
|
||||
thunk = f.vw.getFunctionMeta(target, "Thunk")
|
||||
except vivisect.exc.InvalidFunction:
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386PcRelOper):
|
||||
imports = get_imports(f.vw)
|
||||
target = capa.features.extractors.viv.helpers.get_coderef_from(f.vw, insn.va)
|
||||
if not target:
|
||||
return
|
||||
else:
|
||||
if thunk:
|
||||
dll, _, symbol = thunk.rpartition(".")
|
||||
if symbol.startswith("ord"):
|
||||
symbol = "#" + symbol[len("ord") :]
|
||||
|
||||
if viv_utils.flirt.is_library_function(f.vw, target):
|
||||
name = viv_utils.get_function_name(f.vw, target)
|
||||
yield API(name), ih.address
|
||||
if name.startswith("_"):
|
||||
# some linkers may prefix linked routines with a `_` to avoid name collisions.
|
||||
# extract features for both the mangled and un-mangled representations.
|
||||
# e.g. `_fwrite` -> `fwrite`
|
||||
# see: https://stackoverflow.com/a/2628384/87207
|
||||
yield API(name[1:]), ih.address
|
||||
return
|
||||
|
||||
for _ in range(THUNK_CHAIN_DEPTH_DELTA):
|
||||
if target in imports:
|
||||
dll, symbol = imports[target]
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield API(name), insn.va
|
||||
yield API(name), ih.address
|
||||
|
||||
# if jump leads to an ENDBRANCH instruction, skip it
|
||||
if f.vw.getByteDef(target)[1].startswith(b"\xf3\x0f\x1e"):
|
||||
target += 4
|
||||
|
||||
target = capa.features.extractors.viv.helpers.get_coderef_from(f.vw, target)
|
||||
if not target:
|
||||
return
|
||||
|
||||
# call via import on x64
|
||||
# see Lab21-01.exe_:0x14000118C
|
||||
@@ -111,7 +144,7 @@ def extract_insn_api_features(f, bb, insn):
|
||||
if target in imports:
|
||||
dll, symbol = imports[target]
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield API(name), insn.va
|
||||
yield API(name), ih.address
|
||||
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386RegOper):
|
||||
try:
|
||||
@@ -128,38 +161,7 @@ def extract_insn_api_features(f, bb, insn):
|
||||
if target in imports:
|
||||
dll, symbol = imports[target]
|
||||
for name in capa.features.extractors.helpers.generate_symbols(dll, symbol):
|
||||
yield API(name), insn.va
|
||||
|
||||
|
||||
def extract_insn_number_features(f, bb, insn):
|
||||
"""parse number features from the given instruction."""
|
||||
# example:
|
||||
#
|
||||
# push 3136B0h ; dwControlCode
|
||||
for oper in insn.opers:
|
||||
# this is for both x32 and x64
|
||||
if not isinstance(oper, (envi.archs.i386.disasm.i386ImmOper, envi.archs.i386.disasm.i386ImmMemOper)):
|
||||
continue
|
||||
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
v = oper.getOperValue(oper)
|
||||
else:
|
||||
v = oper.getOperAddr(oper)
|
||||
|
||||
if f.vw.probeMemory(v, 1, envi.memory.MM_READ):
|
||||
# this is a valid address
|
||||
# assume its not also a constant.
|
||||
continue
|
||||
|
||||
if insn.mnem == "add" and insn.opers[0].isReg() and insn.opers[0].reg == envi.archs.i386.disasm.REG_ESP:
|
||||
# skip things like:
|
||||
#
|
||||
# .text:00401140 call sub_407E2B
|
||||
# .text:00401145 add esp, 0Ch
|
||||
return
|
||||
|
||||
yield Number(v), insn.va
|
||||
yield Number(v, arch=get_arch(f.vw)), insn.va
|
||||
yield API(name), ih.address
|
||||
|
||||
|
||||
def derefs(vw, p):
|
||||
@@ -194,7 +196,7 @@ def derefs(vw, p):
|
||||
p = next
|
||||
|
||||
|
||||
def read_memory(vw, va, size):
|
||||
def read_memory(vw, va: int, size: int) -> bytes:
|
||||
# as documented in #176, vivisect will not readMemory() when the section is not marked readable.
|
||||
#
|
||||
# but here, we don't care about permissions.
|
||||
@@ -207,10 +209,10 @@ def read_memory(vw, va, size):
|
||||
mva, msize, mperms, mfname = mmap
|
||||
offset = va - mva
|
||||
return mbytes[offset : offset + size]
|
||||
raise envi.SegmentationViolation(va)
|
||||
raise envi.exc.SegmentationViolation(va)
|
||||
|
||||
|
||||
def read_bytes(vw, va):
|
||||
def read_bytes(vw, va: int) -> bytes:
|
||||
"""
|
||||
read up to MAX_BYTES_FEATURE_SIZE from the given address.
|
||||
|
||||
@@ -219,7 +221,7 @@ def read_bytes(vw, va):
|
||||
"""
|
||||
segm = vw.getSegment(va)
|
||||
if not segm:
|
||||
raise envi.SegmentationViolation()
|
||||
raise envi.exc.SegmentationViolation(va)
|
||||
|
||||
segm_end = segm[0] + segm[1]
|
||||
try:
|
||||
@@ -228,20 +230,23 @@ def read_bytes(vw, va):
|
||||
return read_memory(vw, va, segm_end - va)
|
||||
else:
|
||||
return read_memory(vw, va, MAX_BYTES_FEATURE_SIZE)
|
||||
except envi.SegmentationViolation:
|
||||
except envi.exc.SegmentationViolation:
|
||||
raise
|
||||
|
||||
|
||||
def extract_insn_bytes_features(f, bb, insn):
|
||||
def extract_insn_bytes_features(fh: FunctionHandle, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse byte sequence features from the given instruction.
|
||||
example:
|
||||
# push offset iid_004118d4_IShellLinkA ; riid
|
||||
"""
|
||||
for oper in insn.opers:
|
||||
if insn.mnem == "call":
|
||||
continue
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
if insn.mnem == "call":
|
||||
return
|
||||
|
||||
for oper in insn.opers:
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
v = oper.getOperValue(oper)
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386RegMemOper):
|
||||
@@ -260,27 +265,36 @@ def extract_insn_bytes_features(f, bb, insn):
|
||||
for v in derefs(f.vw, v):
|
||||
try:
|
||||
buf = read_bytes(f.vw, v)
|
||||
except envi.SegmentationViolation:
|
||||
except envi.exc.SegmentationViolation:
|
||||
continue
|
||||
|
||||
if capa.features.extractors.helpers.all_zeros(buf):
|
||||
continue
|
||||
|
||||
yield Bytes(buf), insn.va
|
||||
if f.vw.isProbablyString(v):
|
||||
# don't extract byte features for obvious strings
|
||||
continue
|
||||
|
||||
yield Bytes(buf), ih.address
|
||||
|
||||
|
||||
def read_string(vw, offset):
|
||||
def read_string(vw, offset: int) -> str:
|
||||
try:
|
||||
alen = vw.detectString(offset)
|
||||
except envi.SegmentationViolation:
|
||||
except envi.exc.SegmentationViolation:
|
||||
pass
|
||||
else:
|
||||
if alen > 0:
|
||||
return read_memory(vw, offset, alen).decode("utf-8")
|
||||
buf = read_memory(vw, offset, alen)
|
||||
if b"\x00" in buf:
|
||||
# account for bug #1271.
|
||||
# remove when vivisect is fixed.
|
||||
buf = buf.partition(b"\x00")[0]
|
||||
return buf.decode("utf-8")
|
||||
|
||||
try:
|
||||
ulen = vw.detectUnicode(offset)
|
||||
except envi.SegmentationViolation:
|
||||
except envi.exc.SegmentationViolation:
|
||||
pass
|
||||
except IndexError:
|
||||
# potential vivisect bug detecting Unicode at segment end
|
||||
@@ -291,89 +305,29 @@ def read_string(vw, offset):
|
||||
# vivisect seems to mis-detect the end unicode strings
|
||||
# off by one, too short
|
||||
ulen += 1
|
||||
return read_memory(vw, offset, ulen).decode("utf-16")
|
||||
else:
|
||||
# vivisect seems to mis-detect the end unicode strings
|
||||
# off by two, too short
|
||||
ulen += 2
|
||||
# partition to account for bug #1271.
|
||||
# remove when vivisect is fixed.
|
||||
return read_memory(vw, offset, ulen).decode("utf-16").partition("\x00")[0]
|
||||
|
||||
raise ValueError("not a string", offset)
|
||||
|
||||
|
||||
def extract_insn_string_features(f, bb, insn):
|
||||
"""parse string features from the given instruction."""
|
||||
# example:
|
||||
#
|
||||
# push offset aAcr ; "ACR > "
|
||||
|
||||
for oper in insn.opers:
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
v = oper.getOperValue(oper)
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386SibOper):
|
||||
# like 0x401000 in `mov eax, 0x401000[2 * ebx]`
|
||||
v = oper.imm
|
||||
elif isinstance(oper, envi.archs.amd64.disasm.Amd64RipRelOper):
|
||||
v = oper.getOperAddr(insn)
|
||||
else:
|
||||
continue
|
||||
|
||||
for v in derefs(f.vw, v):
|
||||
try:
|
||||
s = read_string(f.vw, v)
|
||||
except ValueError:
|
||||
continue
|
||||
else:
|
||||
yield String(s.rstrip("\x00")), insn.va
|
||||
|
||||
|
||||
def extract_insn_offset_features(f, bb, insn):
|
||||
"""parse structure offset features from the given instruction."""
|
||||
# example:
|
||||
#
|
||||
# .text:0040112F cmp [esi+4], ebx
|
||||
for oper in insn.opers:
|
||||
|
||||
# this is for both x32 and x64
|
||||
# like [esi + 4]
|
||||
# reg ^
|
||||
# disp
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386RegMemOper):
|
||||
if oper.reg == envi.archs.i386.disasm.REG_ESP:
|
||||
continue
|
||||
|
||||
if oper.reg == envi.archs.i386.disasm.REG_EBP:
|
||||
continue
|
||||
|
||||
# TODO: do x64 support for real.
|
||||
if oper.reg == envi.archs.amd64.disasm.REG_RBP:
|
||||
continue
|
||||
|
||||
# viv already decodes offsets as signed
|
||||
v = oper.disp
|
||||
|
||||
yield Offset(v), insn.va
|
||||
yield Offset(v, arch=get_arch(f.vw)), insn.va
|
||||
|
||||
# like: [esi + ecx + 16384]
|
||||
# reg ^ ^
|
||||
# index ^
|
||||
# disp
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386SibOper):
|
||||
# viv already decodes offsets as signed
|
||||
v = oper.disp
|
||||
|
||||
yield Offset(v), insn.va
|
||||
yield Offset(v, arch=get_arch(f.vw)), insn.va
|
||||
|
||||
|
||||
def is_security_cookie(f, bb, insn):
|
||||
def is_security_cookie(f, bb, insn) -> bool:
|
||||
"""
|
||||
check if an instruction is related to security cookie checks
|
||||
"""
|
||||
# security cookie check should use SP or BP
|
||||
oper = insn.opers[1]
|
||||
if oper.isReg() and oper.reg not in [
|
||||
envi.archs.i386.disasm.REG_ESP,
|
||||
envi.archs.i386.disasm.REG_EBP,
|
||||
envi.archs.i386.regs.REG_ESP,
|
||||
envi.archs.i386.regs.REG_EBP,
|
||||
# TODO: do x64 support for real.
|
||||
envi.archs.amd64.disasm.REG_RBP,
|
||||
envi.archs.amd64.disasm.REG_RSP,
|
||||
envi.archs.amd64.regs.REG_RBP,
|
||||
envi.archs.amd64.regs.REG_RSP,
|
||||
]:
|
||||
return False
|
||||
|
||||
@@ -390,12 +344,18 @@ def is_security_cookie(f, bb, insn):
|
||||
return False
|
||||
|
||||
|
||||
def extract_insn_nzxor_characteristic_features(f, bb, insn):
|
||||
def extract_insn_nzxor_characteristic_features(
|
||||
fh: FunctionHandle, bbhandle: BBHandle, ih: InsnHandle
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse non-zeroing XOR instruction from the given instruction.
|
||||
ignore expected non-zeroing XORs, e.g. security cookies.
|
||||
"""
|
||||
if insn.mnem != "xor":
|
||||
insn: envi.Opcode = ih.inner
|
||||
bb: viv_utils.BasicBlock = bbhandle.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
if insn.mnem not in ("xor", "xorpd", "xorps", "pxor"):
|
||||
return
|
||||
|
||||
if insn.opers[0] == insn.opers[1]:
|
||||
@@ -404,19 +364,40 @@ def extract_insn_nzxor_characteristic_features(f, bb, insn):
|
||||
if is_security_cookie(f, bb, insn):
|
||||
return
|
||||
|
||||
yield Characteristic("nzxor"), insn.va
|
||||
yield Characteristic("nzxor"), ih.address
|
||||
|
||||
|
||||
def extract_insn_mnemonic_features(f, bb, insn):
|
||||
def extract_insn_mnemonic_features(f, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse mnemonic features from the given instruction."""
|
||||
yield Mnemonic(insn.mnem), insn.va
|
||||
yield Mnemonic(ih.inner.mnem), ih.address
|
||||
|
||||
|
||||
def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
def extract_insn_obfs_call_plus_5_characteristic_features(f, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse call $+5 instruction from the given instruction.
|
||||
"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
|
||||
if insn.mnem != "call":
|
||||
return
|
||||
|
||||
if isinstance(insn.opers[0], envi.archs.i386.disasm.i386PcRelOper):
|
||||
if insn.va + 5 == insn.opers[0].getOperValue(insn):
|
||||
yield Characteristic("call $+5"), ih.address
|
||||
|
||||
if isinstance(insn.opers[0], envi.archs.i386.disasm.i386ImmMemOper) or isinstance(
|
||||
insn.opers[0], envi.archs.amd64.disasm.Amd64RipRelOper
|
||||
):
|
||||
if insn.va + 5 == insn.opers[0].getOperAddr(insn):
|
||||
yield Characteristic("call $+5"), ih.address
|
||||
|
||||
|
||||
def extract_insn_peb_access_characteristic_features(f, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
parse peb access from the given function. fs:[0x30] on x86, gs:[0x60] on x64
|
||||
"""
|
||||
# TODO handle where fs/gs are loaded into a register or onto the stack and used later
|
||||
insn: envi.Opcode = ih.inner
|
||||
|
||||
if insn.mnem not in ["push", "mov"]:
|
||||
return
|
||||
@@ -435,7 +416,7 @@ def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
if (isinstance(oper, envi.archs.i386.disasm.i386RegMemOper) and oper.disp == 0x30) or (
|
||||
isinstance(oper, envi.archs.i386.disasm.i386ImmMemOper) and oper.imm == 0x30
|
||||
):
|
||||
yield Characteristic("peb access"), insn.va
|
||||
yield Characteristic("peb access"), ih.address
|
||||
elif "gs" in prefix:
|
||||
for oper in insn.opers:
|
||||
if (
|
||||
@@ -443,23 +424,25 @@ def extract_insn_peb_access_characteristic_features(f, bb, insn):
|
||||
or (isinstance(oper, envi.archs.amd64.disasm.i386SibOper) and oper.imm == 0x60)
|
||||
or (isinstance(oper, envi.archs.amd64.disasm.i386ImmMemOper) and oper.imm == 0x60)
|
||||
):
|
||||
yield Characteristic("peb access"), insn.va
|
||||
yield Characteristic("peb access"), ih.address
|
||||
else:
|
||||
pass
|
||||
|
||||
|
||||
def extract_insn_segment_access_features(f, bb, insn):
|
||||
""" parse the instruction for access to fs or gs """
|
||||
def extract_insn_segment_access_features(f, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse the instruction for access to fs or gs"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
|
||||
prefix = insn.getPrefixName()
|
||||
|
||||
if prefix == "fs":
|
||||
yield Characteristic("fs access"), insn.va
|
||||
yield Characteristic("fs access"), ih.address
|
||||
|
||||
if prefix == "gs":
|
||||
yield Characteristic("gs access"), insn.va
|
||||
yield Characteristic("gs access"), ih.address
|
||||
|
||||
|
||||
def get_section(vw, va):
|
||||
def get_section(vw, va: int):
|
||||
for start, length, _, __ in vw.getMemoryMaps():
|
||||
if start <= va < start + length:
|
||||
return start
|
||||
@@ -467,11 +450,18 @@ def get_section(vw, va):
|
||||
raise KeyError(va)
|
||||
|
||||
|
||||
def extract_insn_cross_section_cflow(f, bb, insn):
|
||||
def extract_insn_cross_section_cflow(fh: FunctionHandle, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
inspect the instruction for a CALL or JMP that crosses section boundaries.
|
||||
"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
for va, flags in insn.getBranches():
|
||||
if va is None:
|
||||
# va may be none for dynamic branches that haven't been resolved, such as `jmp eax`.
|
||||
continue
|
||||
|
||||
if flags & envi.BR_FALL:
|
||||
continue
|
||||
|
||||
@@ -493,7 +483,7 @@ def extract_insn_cross_section_cflow(f, bb, insn):
|
||||
continue
|
||||
|
||||
if get_section(f.vw, insn.va) != get_section(f.vw, va):
|
||||
yield Characteristic("cross section flow"), insn.va
|
||||
yield Characteristic("cross section flow"), ih.address
|
||||
|
||||
except KeyError:
|
||||
continue
|
||||
@@ -501,7 +491,10 @@ def extract_insn_cross_section_cflow(f, bb, insn):
|
||||
|
||||
# this is a feature that's most relevant at the function scope,
|
||||
# however, its most efficient to extract at the instruction scope.
|
||||
def extract_function_calls_from(f, bb, insn):
|
||||
def extract_function_calls_from(fh: FunctionHandle, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
if insn.mnem != "call":
|
||||
return
|
||||
|
||||
@@ -511,7 +504,8 @@ def extract_function_calls_from(f, bb, insn):
|
||||
if isinstance(insn.opers[0], envi.archs.i386.disasm.i386ImmMemOper):
|
||||
oper = insn.opers[0]
|
||||
target = oper.getOperAddr(insn)
|
||||
yield Characteristic("calls from"), target
|
||||
if target >= 0:
|
||||
yield Characteristic("calls from"), AbsoluteVirtualAddress(target)
|
||||
|
||||
# call via thunk on x86,
|
||||
# see 9324d1a8ae37a36ae560c37448c9705a at 0x407985
|
||||
@@ -520,43 +514,193 @@ def extract_function_calls_from(f, bb, insn):
|
||||
# see Lab21-01.exe_:0x140001178
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386PcRelOper):
|
||||
target = insn.opers[0].getOperValue(insn)
|
||||
yield Characteristic("calls from"), target
|
||||
if target >= 0:
|
||||
yield Characteristic("calls from"), AbsoluteVirtualAddress(target)
|
||||
|
||||
# call via IAT, x64
|
||||
elif isinstance(insn.opers[0], envi.archs.amd64.disasm.Amd64RipRelOper):
|
||||
op = insn.opers[0]
|
||||
target = op.getOperAddr(insn)
|
||||
yield Characteristic("calls from"), target
|
||||
if target >= 0:
|
||||
yield Characteristic("calls from"), AbsoluteVirtualAddress(target)
|
||||
|
||||
if target and target == f.va:
|
||||
# if we found a jump target and it's the function address
|
||||
# mark as recursive
|
||||
yield Characteristic("recursive call"), target
|
||||
yield Characteristic("recursive call"), AbsoluteVirtualAddress(target)
|
||||
|
||||
|
||||
# this is a feature that's most relevant at the function or basic block scope,
|
||||
# however, its most efficient to extract at the instruction scope.
|
||||
def extract_function_indirect_call_characteristic_features(f, bb, insn):
|
||||
def extract_function_indirect_call_characteristic_features(f, bb, ih: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract indirect function call characteristic (e.g., call eax or call dword ptr [edx+4])
|
||||
does not include calls like => call ds:dword_ABD4974
|
||||
"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
|
||||
if insn.mnem != "call":
|
||||
return
|
||||
|
||||
# Checks below work for x86 and x64
|
||||
if isinstance(insn.opers[0], envi.archs.i386.disasm.i386RegOper):
|
||||
# call edx
|
||||
yield Characteristic("indirect call"), insn.va
|
||||
yield Characteristic("indirect call"), ih.address
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386RegMemOper):
|
||||
# call dword ptr [eax+50h]
|
||||
yield Characteristic("indirect call"), insn.va
|
||||
yield Characteristic("indirect call"), ih.address
|
||||
elif isinstance(insn.opers[0], envi.archs.i386.disasm.i386SibOper):
|
||||
# call qword ptr [rsp+78h]
|
||||
yield Characteristic("indirect call"), insn.va
|
||||
yield Characteristic("indirect call"), ih.address
|
||||
|
||||
|
||||
def extract_features(f, bb, insn):
|
||||
def extract_op_number_features(
|
||||
fh: FunctionHandle, bb, ih: InsnHandle, i, oper: envi.Operand
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse number features from the given operand.
|
||||
|
||||
example:
|
||||
push 3136B0h ; dwControlCode
|
||||
"""
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
# this is for both x32 and x64
|
||||
if not isinstance(oper, (envi.archs.i386.disasm.i386ImmOper, envi.archs.i386.disasm.i386ImmMemOper)):
|
||||
return
|
||||
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
v = oper.getOperValue(oper)
|
||||
else:
|
||||
v = oper.getOperAddr(oper)
|
||||
|
||||
if f.vw.probeMemory(v, 1, envi.memory.MM_READ):
|
||||
# this is a valid address
|
||||
# assume its not also a constant.
|
||||
return
|
||||
|
||||
if insn.mnem == "add" and insn.opers[0].isReg() and insn.opers[0].reg == envi.archs.i386.regs.REG_ESP:
|
||||
# skip things like:
|
||||
#
|
||||
# .text:00401140 call sub_407E2B
|
||||
# .text:00401145 add esp, 0Ch
|
||||
return
|
||||
|
||||
yield Number(v), ih.address
|
||||
yield OperandNumber(i, v), ih.address
|
||||
|
||||
if insn.mnem == "add" and 0 < v < MAX_STRUCTURE_SIZE and isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
# for pattern like:
|
||||
#
|
||||
# add eax, 0x10
|
||||
#
|
||||
# assume 0x10 is also an offset (imagine eax is a pointer).
|
||||
yield Offset(v), ih.address
|
||||
yield OperandOffset(i, v), ih.address
|
||||
|
||||
|
||||
def extract_op_offset_features(
|
||||
fh: FunctionHandle, bb, ih: InsnHandle, i, oper: envi.Operand
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse structure offset features from the given operand."""
|
||||
# example:
|
||||
#
|
||||
# .text:0040112F cmp [esi+4], ebx
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
# this is for both x32 and x64
|
||||
# like [esi + 4]
|
||||
# reg ^
|
||||
# disp
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386RegMemOper):
|
||||
if oper.reg == envi.archs.i386.regs.REG_ESP:
|
||||
return
|
||||
|
||||
if oper.reg == envi.archs.i386.regs.REG_EBP:
|
||||
return
|
||||
|
||||
# TODO: do x64 support for real.
|
||||
if oper.reg == envi.archs.amd64.regs.REG_RBP:
|
||||
return
|
||||
|
||||
# viv already decodes offsets as signed
|
||||
v = oper.disp
|
||||
|
||||
yield Offset(v), ih.address
|
||||
yield OperandOffset(i, v), ih.address
|
||||
|
||||
if insn.mnem == "lea" and i == 1 and not f.vw.probeMemory(v, 1, envi.memory.MM_READ):
|
||||
# for pattern like:
|
||||
#
|
||||
# lea eax, [ebx + 1]
|
||||
#
|
||||
# assume 1 is also an offset (imagine ebx is a zero register).
|
||||
yield Number(v), ih.address
|
||||
yield OperandNumber(i, v), ih.address
|
||||
|
||||
# like: [esi + ecx + 16384]
|
||||
# reg ^ ^
|
||||
# index ^
|
||||
# disp
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386SibOper):
|
||||
# viv already decodes offsets as signed
|
||||
v = oper.disp
|
||||
|
||||
yield Offset(v), ih.address
|
||||
yield OperandOffset(i, v), ih.address
|
||||
|
||||
|
||||
def extract_op_string_features(
|
||||
fh: FunctionHandle, bb, ih: InsnHandle, i, oper: envi.Operand
|
||||
) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""parse string features from the given operand."""
|
||||
# example:
|
||||
#
|
||||
# push offset aAcr ; "ACR > "
|
||||
insn: envi.Opcode = ih.inner
|
||||
f: viv_utils.Function = fh.inner
|
||||
|
||||
if isinstance(oper, envi.archs.i386.disasm.i386ImmOper):
|
||||
v = oper.getOperValue(oper)
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386ImmMemOper):
|
||||
# like 0x10056CB4 in `lea eax, dword [0x10056CB4]`
|
||||
v = oper.imm
|
||||
elif isinstance(oper, envi.archs.i386.disasm.i386SibOper):
|
||||
# like 0x401000 in `mov eax, 0x401000[2 * ebx]`
|
||||
v = oper.imm
|
||||
elif isinstance(oper, envi.archs.amd64.disasm.Amd64RipRelOper):
|
||||
v = oper.getOperAddr(insn)
|
||||
else:
|
||||
return
|
||||
|
||||
for v in derefs(f.vw, v):
|
||||
try:
|
||||
s = read_string(f.vw, v).rstrip("\x00")
|
||||
except ValueError:
|
||||
continue
|
||||
else:
|
||||
if len(s) >= 4:
|
||||
yield String(s), ih.address
|
||||
|
||||
|
||||
def extract_operand_features(f: FunctionHandle, bb, insn: InsnHandle) -> Iterator[Tuple[Feature, Address]]:
|
||||
for i, oper in enumerate(insn.inner.opers):
|
||||
for op_handler in OPERAND_HANDLERS:
|
||||
for feature, addr in op_handler(f, bb, insn, i, oper):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
OPERAND_HANDLERS: List[
|
||||
Callable[[FunctionHandle, BBHandle, InsnHandle, int, envi.Operand], Iterator[Tuple[Feature, Address]]]
|
||||
] = [
|
||||
extract_op_number_features,
|
||||
extract_op_offset_features,
|
||||
extract_op_string_features,
|
||||
]
|
||||
|
||||
|
||||
def extract_features(f, bb, insn) -> Iterator[Tuple[Feature, Address]]:
|
||||
"""
|
||||
extract features from the given insn.
|
||||
|
||||
@@ -566,24 +710,23 @@ def extract_features(f, bb, insn):
|
||||
insn (vivisect...Instruction): the instruction to process.
|
||||
|
||||
yields:
|
||||
Feature, set[VA]: the features and their location found in this insn.
|
||||
Tuple[Feature, Address]: the features and their location found in this insn.
|
||||
"""
|
||||
for insn_handler in INSTRUCTION_HANDLERS:
|
||||
for feature, va in insn_handler(f, bb, insn):
|
||||
yield feature, va
|
||||
for feature, addr in insn_handler(f, bb, insn):
|
||||
yield feature, addr
|
||||
|
||||
|
||||
INSTRUCTION_HANDLERS = (
|
||||
INSTRUCTION_HANDLERS: List[Callable[[FunctionHandle, BBHandle, InsnHandle], Iterator[Tuple[Feature, Address]]]] = [
|
||||
extract_insn_api_features,
|
||||
extract_insn_number_features,
|
||||
extract_insn_string_features,
|
||||
extract_insn_bytes_features,
|
||||
extract_insn_offset_features,
|
||||
extract_insn_nzxor_characteristic_features,
|
||||
extract_insn_mnemonic_features,
|
||||
extract_insn_obfs_call_plus_5_characteristic_features,
|
||||
extract_insn_peb_access_characteristic_features,
|
||||
extract_insn_cross_section_cflow,
|
||||
extract_insn_segment_access_features,
|
||||
extract_function_calls_from,
|
||||
extract_function_indirect_call_characteristic_features,
|
||||
)
|
||||
extract_operand_features,
|
||||
]
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,22 +6,33 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from capa.features import Feature
|
||||
from capa.features.common import Feature
|
||||
|
||||
|
||||
class Export(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
def __init__(self, value: str, description=None):
|
||||
# value is export name
|
||||
super(Export, self).__init__(value, description=description)
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class Import(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
def __init__(self, value: str, description=None):
|
||||
# value is import name
|
||||
super(Import, self).__init__(value, description=description)
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class Section(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
def __init__(self, value: str, description=None):
|
||||
# value is section name
|
||||
super(Section, self).__init__(value, description=description)
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
class FunctionName(Feature):
|
||||
"""recognized name for statically linked function"""
|
||||
|
||||
def __init__(self, name: str, description=None):
|
||||
# value is function name
|
||||
super().__init__(name, description=description)
|
||||
# override the name property set by `capa.features.Feature`
|
||||
# that would be `functionname` (note missing dash)
|
||||
self.name = "function-name"
|
||||
|
||||
@@ -1,286 +0,0 @@
|
||||
"""
|
||||
capa freeze file format: `| capa0000 | + zlib(utf-8(json(...)))`
|
||||
|
||||
json format:
|
||||
|
||||
{
|
||||
'version': 1,
|
||||
'functions': {
|
||||
int(function va): {
|
||||
'basic blocks': {
|
||||
int(basic block va): {
|
||||
'instructions': [instruction va, ...]
|
||||
},
|
||||
...
|
||||
},
|
||||
...
|
||||
},
|
||||
...
|
||||
},
|
||||
'scopes': {
|
||||
'file': [
|
||||
(str(name), [any(arg), ...], int(va), ()),
|
||||
...
|
||||
},
|
||||
'function': [
|
||||
(str(name), [any(arg), ...], int(va), (int(function va), )),
|
||||
...
|
||||
],
|
||||
'basic block': [
|
||||
(str(name), [any(arg), ...], int(va), (int(function va),
|
||||
int(basic block va))),
|
||||
...
|
||||
],
|
||||
'instruction': [
|
||||
(str(name), [any(arg), ...], int(va), (int(function va),
|
||||
int(basic block va),
|
||||
int(instruction va))),
|
||||
...
|
||||
],
|
||||
}
|
||||
}
|
||||
|
||||
Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and limitations under the License.
|
||||
"""
|
||||
import json
|
||||
import zlib
|
||||
import logging
|
||||
|
||||
import capa.features
|
||||
import capa.features.file
|
||||
import capa.features.insn
|
||||
import capa.features.basicblock
|
||||
import capa.features.extractors
|
||||
from capa.helpers import hex
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def serialize_feature(feature):
|
||||
return feature.freeze_serialize()
|
||||
|
||||
|
||||
KNOWN_FEATURES = {F.__name__: F for F in capa.features.Feature.__subclasses__()}
|
||||
|
||||
|
||||
def deserialize_feature(doc):
|
||||
F = KNOWN_FEATURES[doc[0]]
|
||||
return F.freeze_deserialize(doc[1])
|
||||
|
||||
|
||||
def dumps(extractor):
|
||||
"""
|
||||
serialize the given extractor to a string
|
||||
|
||||
args:
|
||||
extractor: capa.features.extractor.FeatureExtractor:
|
||||
|
||||
returns:
|
||||
str: the serialized features.
|
||||
"""
|
||||
ret = {
|
||||
"version": 1,
|
||||
"functions": {},
|
||||
"scopes": {
|
||||
"file": [],
|
||||
"function": [],
|
||||
"basic block": [],
|
||||
"instruction": [],
|
||||
},
|
||||
}
|
||||
|
||||
for feature, va in extractor.extract_file_features():
|
||||
ret["scopes"]["file"].append(serialize_feature(feature) + (hex(va), ()))
|
||||
|
||||
for f in extractor.get_functions():
|
||||
ret["functions"][hex(f)] = {}
|
||||
|
||||
for feature, va in extractor.extract_function_features(f):
|
||||
ret["scopes"]["function"].append(serialize_feature(feature) + (hex(va), (hex(f),)))
|
||||
|
||||
for bb in extractor.get_basic_blocks(f):
|
||||
ret["functions"][hex(f)][hex(bb)] = []
|
||||
|
||||
for feature, va in extractor.extract_basic_block_features(f, bb):
|
||||
ret["scopes"]["basic block"].append(
|
||||
serialize_feature(feature)
|
||||
+ (
|
||||
hex(va),
|
||||
(
|
||||
hex(f),
|
||||
hex(bb),
|
||||
),
|
||||
)
|
||||
)
|
||||
|
||||
for insnva, insn in sorted(
|
||||
[(insn.__int__(), insn) for insn in extractor.get_instructions(f, bb)], key=lambda p: p[0]
|
||||
):
|
||||
ret["functions"][hex(f)][hex(bb)].append(hex(insnva))
|
||||
|
||||
for feature, va in extractor.extract_insn_features(f, bb, insn):
|
||||
ret["scopes"]["instruction"].append(
|
||||
serialize_feature(feature)
|
||||
+ (
|
||||
hex(va),
|
||||
(
|
||||
hex(f),
|
||||
hex(bb),
|
||||
hex(insnva),
|
||||
),
|
||||
)
|
||||
)
|
||||
return json.dumps(ret)
|
||||
|
||||
|
||||
def loads(s):
|
||||
"""deserialize a set of features (as a NullFeatureExtractor) from a string."""
|
||||
doc = json.loads(s)
|
||||
|
||||
if doc.get("version") != 1:
|
||||
raise ValueError("unsupported freeze format version: %d" % (doc.get("version")))
|
||||
|
||||
features = {
|
||||
"file features": [],
|
||||
"functions": {},
|
||||
}
|
||||
|
||||
for fva, function in doc.get("functions", {}).items():
|
||||
fva = int(fva, 0x10)
|
||||
features["functions"][fva] = {
|
||||
"features": [],
|
||||
"basic blocks": {},
|
||||
}
|
||||
|
||||
for bbva, bb in function.items():
|
||||
bbva = int(bbva, 0x10)
|
||||
features["functions"][fva]["basic blocks"][bbva] = {
|
||||
"features": [],
|
||||
"instructions": {},
|
||||
}
|
||||
|
||||
for insnva in bb:
|
||||
insnva = int(insnva, 0x10)
|
||||
features["functions"][fva]["basic blocks"][bbva]["instructions"][insnva] = {
|
||||
"features": [],
|
||||
}
|
||||
|
||||
# in the following blocks, each entry looks like:
|
||||
#
|
||||
# ('MatchedRule', ('foo', ), '0x401000', ('0x401000', ))
|
||||
# ^^^^^^^^^^^^^ ^^^^^^^^^ ^^^^^^^^^^ ^^^^^^^^^^^^^^
|
||||
# feature name args addr func/bb/insn
|
||||
for feature in doc.get("scopes", {}).get("file", []):
|
||||
va, loc = feature[2:]
|
||||
va = int(va, 0x10)
|
||||
feature = deserialize_feature(feature[:2])
|
||||
features["file features"].append((va, feature))
|
||||
|
||||
for feature in doc.get("scopes", {}).get("function", []):
|
||||
# fetch the pair like:
|
||||
#
|
||||
# ('0x401000', ('0x401000', ))
|
||||
# ^^^^^^^^^^ ^^^^^^^^^^^^^^
|
||||
# addr func/bb/insn
|
||||
va, loc = feature[2:]
|
||||
va = int(va, 0x10)
|
||||
loc = [int(lo, 0x10) for lo in loc]
|
||||
|
||||
# decode the feature from the pair like:
|
||||
#
|
||||
# ('MatchedRule', ('foo', ))
|
||||
# ^^^^^^^^^^^^^ ^^^^^^^^^
|
||||
# feature name args
|
||||
feature = deserialize_feature(feature[:2])
|
||||
features["functions"][loc[0]]["features"].append((va, feature))
|
||||
|
||||
for feature in doc.get("scopes", {}).get("basic block", []):
|
||||
va, loc = feature[2:]
|
||||
va = int(va, 0x10)
|
||||
loc = [int(lo, 0x10) for lo in loc]
|
||||
feature = deserialize_feature(feature[:2])
|
||||
features["functions"][loc[0]]["basic blocks"][loc[1]]["features"].append((va, feature))
|
||||
|
||||
for feature in doc.get("scopes", {}).get("instruction", []):
|
||||
va, loc = feature[2:]
|
||||
va = int(va, 0x10)
|
||||
loc = [int(lo, 0x10) for lo in loc]
|
||||
feature = deserialize_feature(feature[:2])
|
||||
features["functions"][loc[0]]["basic blocks"][loc[1]]["instructions"][loc[2]]["features"].append((va, feature))
|
||||
|
||||
return capa.features.extractors.NullFeatureExtractor(features)
|
||||
|
||||
|
||||
MAGIC = "capa0000".encode("ascii")
|
||||
|
||||
|
||||
def dump(extractor):
|
||||
"""serialize the given extractor to a byte array."""
|
||||
return MAGIC + zlib.compress(dumps(extractor).encode("utf-8"))
|
||||
|
||||
|
||||
def is_freeze(buf):
|
||||
return buf[: len(MAGIC)] == MAGIC
|
||||
|
||||
|
||||
def load(buf):
|
||||
"""deserialize a set of features (as a NullFeatureExtractor) from a byte array."""
|
||||
if not is_freeze(buf):
|
||||
raise ValueError("missing magic header")
|
||||
return loads(zlib.decompress(buf[len(MAGIC) :]).decode("utf-8"))
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
import sys
|
||||
import argparse
|
||||
|
||||
import capa.main
|
||||
|
||||
if argv is None:
|
||||
argv = sys.argv[1:]
|
||||
|
||||
formats = [
|
||||
("auto", "(default) detect file type automatically"),
|
||||
("pe", "Windows PE file"),
|
||||
("sc32", "32-bit shellcode"),
|
||||
("sc64", "64-bit shellcode"),
|
||||
]
|
||||
format_help = ", ".join(["%s: %s" % (f[0], f[1]) for f in formats])
|
||||
|
||||
parser = argparse.ArgumentParser(description="save capa features to a file")
|
||||
parser.add_argument("sample", type=str, help="Path to sample to analyze")
|
||||
parser.add_argument("output", type=str, help="Path to output file")
|
||||
parser.add_argument("-v", "--verbose", action="store_true", help="Enable verbose output")
|
||||
parser.add_argument("-q", "--quiet", action="store_true", help="Disable all output but errors")
|
||||
parser.add_argument(
|
||||
"-f", "--format", choices=[f[0] for f in formats], default="auto", help="Select sample format, %s" % format_help
|
||||
)
|
||||
args = parser.parse_args(args=argv)
|
||||
|
||||
if args.quiet:
|
||||
logging.basicConfig(level=logging.ERROR)
|
||||
logging.getLogger().setLevel(logging.ERROR)
|
||||
elif args.verbose:
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
logging.getLogger().setLevel(logging.DEBUG)
|
||||
else:
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logging.getLogger().setLevel(logging.INFO)
|
||||
|
||||
extractor = capa.main.get_extractor(args.sample, args.format)
|
||||
with open(args.output, "wb") as f:
|
||||
f.write(dump(extractor))
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
|
||||
sys.exit(main())
|
||||
395
capa/features/freeze/__init__.py
Normal file
395
capa/features/freeze/__init__.py
Normal file
@@ -0,0 +1,395 @@
|
||||
"""
|
||||
capa freeze file format: `| capa0000 | + zlib(utf-8(json(...)))`
|
||||
|
||||
Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and limitations under the License.
|
||||
"""
|
||||
import zlib
|
||||
import logging
|
||||
from enum import Enum
|
||||
from typing import Any, List, Tuple
|
||||
|
||||
from pydantic import Field, BaseModel
|
||||
|
||||
import capa.helpers
|
||||
import capa.version
|
||||
import capa.features.file
|
||||
import capa.features.insn
|
||||
import capa.features.common
|
||||
import capa.features.address
|
||||
import capa.features.basicblock
|
||||
import capa.features.extractors.base_extractor
|
||||
from capa.helpers import assert_never
|
||||
from capa.features.freeze.features import Feature, feature_from_capa
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class HashableModel(BaseModel):
|
||||
class Config:
|
||||
frozen = True
|
||||
|
||||
|
||||
class AddressType(str, Enum):
|
||||
ABSOLUTE = "absolute"
|
||||
RELATIVE = "relative"
|
||||
FILE = "file"
|
||||
DN_TOKEN = "dn token"
|
||||
DN_TOKEN_OFFSET = "dn token offset"
|
||||
NO_ADDRESS = "no address"
|
||||
|
||||
|
||||
class Address(HashableModel):
|
||||
type: AddressType
|
||||
value: Any
|
||||
|
||||
@classmethod
|
||||
def from_capa(cls, a: capa.features.address.Address) -> "Address":
|
||||
if isinstance(a, capa.features.address.AbsoluteVirtualAddress):
|
||||
return cls(type=AddressType.ABSOLUTE, value=int(a))
|
||||
|
||||
elif isinstance(a, capa.features.address.RelativeVirtualAddress):
|
||||
return cls(type=AddressType.RELATIVE, value=int(a))
|
||||
|
||||
elif isinstance(a, capa.features.address.FileOffsetAddress):
|
||||
return cls(type=AddressType.FILE, value=int(a))
|
||||
|
||||
elif isinstance(a, capa.features.address.DNTokenAddress):
|
||||
return cls(type=AddressType.DN_TOKEN, value=int(a))
|
||||
|
||||
elif isinstance(a, capa.features.address.DNTokenOffsetAddress):
|
||||
return cls(type=AddressType.DN_TOKEN_OFFSET, value=(a.token, a.offset))
|
||||
|
||||
elif a == capa.features.address.NO_ADDRESS or isinstance(a, capa.features.address._NoAddress):
|
||||
return cls(type=AddressType.NO_ADDRESS, value=None)
|
||||
|
||||
elif isinstance(a, capa.features.address.Address) and not issubclass(type(a), capa.features.address.Address):
|
||||
raise ValueError("don't use an Address instance directly")
|
||||
|
||||
elif isinstance(a, capa.features.address.Address):
|
||||
raise ValueError("don't use an Address instance directly")
|
||||
|
||||
else:
|
||||
assert_never(a)
|
||||
|
||||
def to_capa(self) -> capa.features.address.Address:
|
||||
if self.type is AddressType.ABSOLUTE:
|
||||
return capa.features.address.AbsoluteVirtualAddress(self.value)
|
||||
|
||||
elif self.type is AddressType.RELATIVE:
|
||||
return capa.features.address.RelativeVirtualAddress(self.value)
|
||||
|
||||
elif self.type is AddressType.FILE:
|
||||
return capa.features.address.FileOffsetAddress(self.value)
|
||||
|
||||
elif self.type is AddressType.DN_TOKEN:
|
||||
return capa.features.address.DNTokenAddress(self.value)
|
||||
|
||||
elif self.type is AddressType.DN_TOKEN_OFFSET:
|
||||
token, offset = self.value
|
||||
return capa.features.address.DNTokenOffsetAddress(token, offset)
|
||||
|
||||
elif self.type is AddressType.NO_ADDRESS:
|
||||
return capa.features.address.NO_ADDRESS
|
||||
|
||||
else:
|
||||
assert_never(self.type)
|
||||
|
||||
def __lt__(self, other: "Address") -> bool:
|
||||
if self.type != other.type:
|
||||
return self.type < other.type
|
||||
|
||||
if self.type is AddressType.NO_ADDRESS:
|
||||
return True
|
||||
|
||||
else:
|
||||
return self.value < other.value
|
||||
|
||||
|
||||
class GlobalFeature(HashableModel):
|
||||
feature: Feature
|
||||
|
||||
|
||||
class FileFeature(HashableModel):
|
||||
address: Address
|
||||
feature: Feature
|
||||
|
||||
|
||||
class FunctionFeature(HashableModel):
|
||||
"""
|
||||
args:
|
||||
function: the address of the function to which this feature belongs.
|
||||
address: the address at which this feature is found.
|
||||
|
||||
function != address because, e.g., the feature may be found *within* the scope (function).
|
||||
versus right at its starting address.
|
||||
"""
|
||||
|
||||
function: Address
|
||||
address: Address
|
||||
feature: Feature
|
||||
|
||||
|
||||
class BasicBlockFeature(HashableModel):
|
||||
"""
|
||||
args:
|
||||
basic_block: the address of the basic block to which this feature belongs.
|
||||
address: the address at which this feature is found.
|
||||
|
||||
basic_block != address because, e.g., the feature may be found *within* the scope (basic block).
|
||||
versus right at its starting address.
|
||||
"""
|
||||
|
||||
basic_block: Address = Field(alias="basic block")
|
||||
address: Address
|
||||
feature: Feature
|
||||
|
||||
class Config:
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class InstructionFeature(HashableModel):
|
||||
"""
|
||||
args:
|
||||
instruction: the address of the instruction to which this feature belongs.
|
||||
address: the address at which this feature is found.
|
||||
|
||||
instruction != address because, e.g., the feature may be found *within* the scope (basic block),
|
||||
versus right at its starting address.
|
||||
"""
|
||||
|
||||
instruction: Address
|
||||
address: Address
|
||||
feature: Feature
|
||||
|
||||
|
||||
class InstructionFeatures(BaseModel):
|
||||
address: Address
|
||||
features: Tuple[InstructionFeature, ...]
|
||||
|
||||
|
||||
class BasicBlockFeatures(BaseModel):
|
||||
address: Address
|
||||
features: Tuple[BasicBlockFeature, ...]
|
||||
instructions: Tuple[InstructionFeatures, ...]
|
||||
|
||||
|
||||
class FunctionFeatures(BaseModel):
|
||||
address: Address
|
||||
features: Tuple[FunctionFeature, ...]
|
||||
basic_blocks: Tuple[BasicBlockFeatures, ...] = Field(alias="basic blocks")
|
||||
|
||||
class Config:
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class Features(BaseModel):
|
||||
global_: Tuple[GlobalFeature, ...] = Field(alias="global")
|
||||
file: Tuple[FileFeature, ...]
|
||||
functions: Tuple[FunctionFeatures, ...]
|
||||
|
||||
class Config:
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class Extractor(BaseModel):
|
||||
name: str
|
||||
version: str = capa.version.__version__
|
||||
|
||||
class Config:
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class Freeze(BaseModel):
|
||||
version: int = 2
|
||||
base_address: Address = Field(alias="base address")
|
||||
extractor: Extractor
|
||||
features: Features
|
||||
|
||||
class Config:
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
def dumps(extractor: capa.features.extractors.base_extractor.FeatureExtractor) -> str:
|
||||
"""
|
||||
serialize the given extractor to a string
|
||||
"""
|
||||
|
||||
global_features: List[GlobalFeature] = []
|
||||
for feature, _ in extractor.extract_global_features():
|
||||
global_features.append(
|
||||
GlobalFeature(
|
||||
feature=feature_from_capa(feature),
|
||||
)
|
||||
)
|
||||
|
||||
file_features: List[FileFeature] = []
|
||||
for feature, address in extractor.extract_file_features():
|
||||
file_features.append(
|
||||
FileFeature(
|
||||
feature=feature_from_capa(feature),
|
||||
address=Address.from_capa(address),
|
||||
)
|
||||
)
|
||||
|
||||
function_features: List[FunctionFeatures] = []
|
||||
for f in extractor.get_functions():
|
||||
faddr = Address.from_capa(f.address)
|
||||
ffeatures = [
|
||||
FunctionFeature(
|
||||
function=faddr,
|
||||
address=Address.from_capa(addr),
|
||||
feature=feature_from_capa(feature),
|
||||
)
|
||||
for feature, addr in extractor.extract_function_features(f)
|
||||
]
|
||||
|
||||
basic_blocks = []
|
||||
for bb in extractor.get_basic_blocks(f):
|
||||
bbaddr = Address.from_capa(bb.address)
|
||||
bbfeatures = [
|
||||
BasicBlockFeature(
|
||||
basic_block=bbaddr,
|
||||
address=Address.from_capa(addr),
|
||||
feature=feature_from_capa(feature),
|
||||
)
|
||||
for feature, addr in extractor.extract_basic_block_features(f, bb)
|
||||
]
|
||||
|
||||
instructions = []
|
||||
for insn in extractor.get_instructions(f, bb):
|
||||
iaddr = Address.from_capa(insn.address)
|
||||
ifeatures = [
|
||||
InstructionFeature(
|
||||
instruction=iaddr,
|
||||
address=Address.from_capa(addr),
|
||||
feature=feature_from_capa(feature),
|
||||
)
|
||||
for feature, addr in extractor.extract_insn_features(f, bb, insn)
|
||||
]
|
||||
|
||||
instructions.append(
|
||||
InstructionFeatures(
|
||||
address=iaddr,
|
||||
features=ifeatures,
|
||||
)
|
||||
)
|
||||
|
||||
basic_blocks.append(
|
||||
BasicBlockFeatures(
|
||||
address=bbaddr,
|
||||
features=bbfeatures,
|
||||
instructions=instructions,
|
||||
)
|
||||
)
|
||||
|
||||
function_features.append(
|
||||
FunctionFeatures(
|
||||
address=faddr,
|
||||
features=ffeatures,
|
||||
basic_blocks=basic_blocks,
|
||||
)
|
||||
)
|
||||
|
||||
features = Features(
|
||||
global_=global_features,
|
||||
file=file_features,
|
||||
functions=function_features,
|
||||
)
|
||||
|
||||
freeze = Freeze(
|
||||
version=2,
|
||||
base_address=Address.from_capa(extractor.get_base_address()),
|
||||
extractor=Extractor(name=extractor.__class__.__name__),
|
||||
features=features,
|
||||
)
|
||||
|
||||
return freeze.json()
|
||||
|
||||
|
||||
def loads(s: str) -> capa.features.extractors.base_extractor.FeatureExtractor:
|
||||
"""deserialize a set of features (as a NullFeatureExtractor) from a string."""
|
||||
import capa.features.extractors.null as null
|
||||
|
||||
freeze = Freeze.parse_raw(s)
|
||||
if freeze.version != 2:
|
||||
raise ValueError("unsupported freeze format version: %d", freeze.version)
|
||||
|
||||
return null.NullFeatureExtractor(
|
||||
base_address=freeze.base_address.to_capa(),
|
||||
global_features=[f.feature.to_capa() for f in freeze.features.global_],
|
||||
file_features=[(f.address.to_capa(), f.feature.to_capa()) for f in freeze.features.file],
|
||||
functions={
|
||||
f.address.to_capa(): null.FunctionFeatures(
|
||||
features=[(fe.address.to_capa(), fe.feature.to_capa()) for fe in f.features],
|
||||
basic_blocks={
|
||||
bb.address.to_capa(): null.BasicBlockFeatures(
|
||||
features=[(fe.address.to_capa(), fe.feature.to_capa()) for fe in bb.features],
|
||||
instructions={
|
||||
i.address.to_capa(): null.InstructionFeatures(
|
||||
features=[(fe.address.to_capa(), fe.feature.to_capa()) for fe in i.features]
|
||||
)
|
||||
for i in bb.instructions
|
||||
},
|
||||
)
|
||||
for bb in f.basic_blocks
|
||||
},
|
||||
)
|
||||
for f in freeze.features.functions
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
MAGIC = "capa0000".encode("ascii")
|
||||
|
||||
|
||||
def dump(extractor: capa.features.extractors.base_extractor.FeatureExtractor) -> bytes:
|
||||
"""serialize the given extractor to a byte array."""
|
||||
return MAGIC + zlib.compress(dumps(extractor).encode("utf-8"))
|
||||
|
||||
|
||||
def is_freeze(buf: bytes) -> bool:
|
||||
return buf[: len(MAGIC)] == MAGIC
|
||||
|
||||
|
||||
def load(buf: bytes) -> capa.features.extractors.base_extractor.FeatureExtractor:
|
||||
"""deserialize a set of features (as a NullFeatureExtractor) from a byte array."""
|
||||
if not is_freeze(buf):
|
||||
raise ValueError("missing magic header")
|
||||
return loads(zlib.decompress(buf[len(MAGIC) :]).decode("utf-8"))
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
import sys
|
||||
import argparse
|
||||
|
||||
import capa.main
|
||||
|
||||
if argv is None:
|
||||
argv = sys.argv[1:]
|
||||
|
||||
parser = argparse.ArgumentParser(description="save capa features to a file")
|
||||
capa.main.install_common_args(parser, {"sample", "format", "backend", "signatures"})
|
||||
parser.add_argument("output", type=str, help="Path to output file")
|
||||
args = parser.parse_args(args=argv)
|
||||
capa.main.handle_common_args(args)
|
||||
|
||||
sigpaths = capa.main.get_signatures(args.signatures)
|
||||
|
||||
extractor = capa.main.get_extractor(args.sample, args.format, args.backend, sigpaths, False)
|
||||
|
||||
with open(args.output, "wb") as f:
|
||||
f.write(dump(extractor))
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
|
||||
sys.exit(main())
|
||||
345
capa/features/freeze/features.py
Normal file
345
capa/features/freeze/features.py
Normal file
@@ -0,0 +1,345 @@
|
||||
import binascii
|
||||
from typing import Union, Optional
|
||||
|
||||
from pydantic import Field, BaseModel
|
||||
|
||||
import capa.features.file
|
||||
import capa.features.insn
|
||||
import capa.features.common
|
||||
import capa.features.basicblock
|
||||
|
||||
|
||||
class FeatureModel(BaseModel):
|
||||
class Config:
|
||||
frozen = True
|
||||
allow_population_by_field_name = True
|
||||
|
||||
def to_capa(self) -> capa.features.common.Feature:
|
||||
if isinstance(self, OSFeature):
|
||||
return capa.features.common.OS(self.os, description=self.description)
|
||||
|
||||
elif isinstance(self, ArchFeature):
|
||||
return capa.features.common.Arch(self.arch, description=self.description)
|
||||
|
||||
elif isinstance(self, FormatFeature):
|
||||
return capa.features.common.Format(self.format, description=self.description)
|
||||
|
||||
elif isinstance(self, MatchFeature):
|
||||
return capa.features.common.MatchedRule(self.match, description=self.description)
|
||||
|
||||
elif isinstance(
|
||||
self,
|
||||
CharacteristicFeature,
|
||||
):
|
||||
return capa.features.common.Characteristic(self.characteristic, description=self.description)
|
||||
|
||||
elif isinstance(self, ExportFeature):
|
||||
return capa.features.file.Export(self.export, description=self.description)
|
||||
|
||||
elif isinstance(self, ImportFeature):
|
||||
return capa.features.file.Import(self.import_, description=self.description)
|
||||
|
||||
elif isinstance(self, SectionFeature):
|
||||
return capa.features.file.Section(self.section, description=self.description)
|
||||
|
||||
elif isinstance(self, FunctionNameFeature):
|
||||
return capa.features.file.FunctionName(self.function_name, description=self.description)
|
||||
|
||||
elif isinstance(self, SubstringFeature):
|
||||
return capa.features.common.Substring(self.substring, description=self.description)
|
||||
|
||||
elif isinstance(self, RegexFeature):
|
||||
return capa.features.common.Regex(self.regex, description=self.description)
|
||||
|
||||
elif isinstance(self, StringFeature):
|
||||
return capa.features.common.String(self.string, description=self.description)
|
||||
|
||||
elif isinstance(self, ClassFeature):
|
||||
return capa.features.common.Class(self.class_, description=self.description)
|
||||
|
||||
elif isinstance(self, NamespaceFeature):
|
||||
return capa.features.common.Namespace(self.namespace, description=self.description)
|
||||
|
||||
elif isinstance(self, BasicBlockFeature):
|
||||
return capa.features.basicblock.BasicBlock(description=self.description)
|
||||
|
||||
elif isinstance(self, APIFeature):
|
||||
return capa.features.insn.API(self.api, description=self.description)
|
||||
|
||||
elif isinstance(self, PropertyFeature):
|
||||
return capa.features.insn.Property(self.property, access=self.access, description=self.description)
|
||||
|
||||
elif isinstance(self, NumberFeature):
|
||||
return capa.features.insn.Number(self.number, description=self.description)
|
||||
|
||||
elif isinstance(self, BytesFeature):
|
||||
return capa.features.common.Bytes(binascii.unhexlify(self.bytes), description=self.description)
|
||||
|
||||
elif isinstance(self, OffsetFeature):
|
||||
return capa.features.insn.Offset(self.offset, description=self.description)
|
||||
|
||||
elif isinstance(self, MnemonicFeature):
|
||||
return capa.features.insn.Mnemonic(self.mnemonic, description=self.description)
|
||||
|
||||
elif isinstance(self, OperandNumberFeature):
|
||||
return capa.features.insn.OperandNumber(
|
||||
self.index,
|
||||
self.operand_number,
|
||||
description=self.description,
|
||||
)
|
||||
|
||||
elif isinstance(self, OperandOffsetFeature):
|
||||
return capa.features.insn.OperandOffset(
|
||||
self.index,
|
||||
self.operand_offset,
|
||||
description=self.description,
|
||||
)
|
||||
|
||||
else:
|
||||
raise NotImplementedError(f"Feature.to_capa({type(self)}) not implemented")
|
||||
|
||||
|
||||
def feature_from_capa(f: capa.features.common.Feature) -> "Feature":
|
||||
if isinstance(f, capa.features.common.OS):
|
||||
return OSFeature(os=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Arch):
|
||||
return ArchFeature(arch=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Format):
|
||||
return FormatFeature(format=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.MatchedRule):
|
||||
return MatchFeature(match=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Characteristic):
|
||||
return CharacteristicFeature(characteristic=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.file.Export):
|
||||
return ExportFeature(export=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.file.Import):
|
||||
return ImportFeature(import_=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.file.Section):
|
||||
return SectionFeature(section=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.file.FunctionName):
|
||||
return FunctionNameFeature(function_name=f.value, description=f.description)
|
||||
|
||||
# must come before check for String due to inheritance
|
||||
elif isinstance(f, capa.features.common.Substring):
|
||||
return SubstringFeature(substring=f.value, description=f.description)
|
||||
|
||||
# must come before check for String due to inheritance
|
||||
elif isinstance(f, capa.features.common.Regex):
|
||||
return RegexFeature(regex=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.String):
|
||||
return StringFeature(string=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Class):
|
||||
return ClassFeature(class_=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Namespace):
|
||||
return NamespaceFeature(namespace=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.basicblock.BasicBlock):
|
||||
return BasicBlockFeature(description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.API):
|
||||
return APIFeature(api=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.Property):
|
||||
return PropertyFeature(property=f.value, access=f.access, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.Number):
|
||||
return NumberFeature(number=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.common.Bytes):
|
||||
buf = f.value
|
||||
assert isinstance(buf, bytes)
|
||||
return BytesFeature(bytes=binascii.hexlify(buf).decode("ascii"), description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.Offset):
|
||||
return OffsetFeature(offset=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.Mnemonic):
|
||||
return MnemonicFeature(mnemonic=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.OperandNumber):
|
||||
return OperandNumberFeature(index=f.index, operand_number=f.value, description=f.description)
|
||||
|
||||
elif isinstance(f, capa.features.insn.OperandOffset):
|
||||
return OperandOffsetFeature(index=f.index, operand_offset=f.value, description=f.description)
|
||||
|
||||
else:
|
||||
raise NotImplementedError(f"feature_from_capa({type(f)}) not implemented")
|
||||
|
||||
|
||||
class OSFeature(FeatureModel):
|
||||
type: str = "os"
|
||||
os: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class ArchFeature(FeatureModel):
|
||||
type: str = "arch"
|
||||
arch: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class FormatFeature(FeatureModel):
|
||||
type: str = "format"
|
||||
format: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class MatchFeature(FeatureModel):
|
||||
type: str = "match"
|
||||
match: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class CharacteristicFeature(FeatureModel):
|
||||
type: str = "characteristic"
|
||||
characteristic: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class ExportFeature(FeatureModel):
|
||||
type: str = "export"
|
||||
export: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class ImportFeature(FeatureModel):
|
||||
type: str = "import"
|
||||
import_: str = Field(alias="import")
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class SectionFeature(FeatureModel):
|
||||
type: str = "section"
|
||||
section: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class FunctionNameFeature(FeatureModel):
|
||||
type: str = "function name"
|
||||
function_name: str = Field(alias="function name")
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class SubstringFeature(FeatureModel):
|
||||
type: str = "substring"
|
||||
substring: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class RegexFeature(FeatureModel):
|
||||
type: str = "regex"
|
||||
regex: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class StringFeature(FeatureModel):
|
||||
type: str = "string"
|
||||
string: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class ClassFeature(FeatureModel):
|
||||
type: str = "class"
|
||||
class_: str = Field(alias="class")
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class NamespaceFeature(FeatureModel):
|
||||
type: str = "namespace"
|
||||
namespace: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class BasicBlockFeature(FeatureModel):
|
||||
type: str = "basic block"
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class APIFeature(FeatureModel):
|
||||
type: str = "api"
|
||||
api: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class PropertyFeature(FeatureModel):
|
||||
type: str = "property"
|
||||
access: Optional[str]
|
||||
property: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class NumberFeature(FeatureModel):
|
||||
type: str = "number"
|
||||
number: Union[int, float]
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class BytesFeature(FeatureModel):
|
||||
type: str = "bytes"
|
||||
bytes: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class OffsetFeature(FeatureModel):
|
||||
type: str = "offset"
|
||||
offset: int
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class MnemonicFeature(FeatureModel):
|
||||
type: str = "mnemonic"
|
||||
mnemonic: str
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class OperandNumberFeature(FeatureModel):
|
||||
type: str = "operand number"
|
||||
index: int
|
||||
operand_number: int = Field(alias="operand number")
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
class OperandOffsetFeature(FeatureModel):
|
||||
type: str = "operand offset"
|
||||
index: int
|
||||
operand_offset: int = Field(alias="operand offset")
|
||||
description: Optional[str]
|
||||
|
||||
|
||||
Feature = Union[
|
||||
OSFeature,
|
||||
ArchFeature,
|
||||
FormatFeature,
|
||||
MatchFeature,
|
||||
CharacteristicFeature,
|
||||
ExportFeature,
|
||||
ImportFeature,
|
||||
SectionFeature,
|
||||
FunctionNameFeature,
|
||||
SubstringFeature,
|
||||
RegexFeature,
|
||||
StringFeature,
|
||||
ClassFeature,
|
||||
NamespaceFeature,
|
||||
APIFeature,
|
||||
PropertyFeature,
|
||||
NumberFeature,
|
||||
BytesFeature,
|
||||
OffsetFeature,
|
||||
MnemonicFeature,
|
||||
OperandNumberFeature,
|
||||
OperandOffsetFeature,
|
||||
# Note! this must be last, see #1161
|
||||
BasicBlockFeature,
|
||||
]
|
||||
@@ -1,40 +1,131 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import abc
|
||||
from typing import Union, Optional
|
||||
|
||||
from capa.features import Feature
|
||||
import capa.helpers
|
||||
from capa.features.common import VALID_FEATURE_ACCESS, Feature
|
||||
|
||||
|
||||
def hex(n: int) -> str:
|
||||
"""render the given number using upper case hex, like: 0x123ABC"""
|
||||
if n < 0:
|
||||
return "-0x%X" % (-n)
|
||||
else:
|
||||
return "0x%X" % n
|
||||
|
||||
|
||||
class API(Feature):
|
||||
def __init__(self, name, description=None):
|
||||
# Downcase library name if given
|
||||
if "." in name:
|
||||
modname, impname = name.split(".")
|
||||
name = modname.lower() + "." + impname
|
||||
def __init__(self, name: str, description=None):
|
||||
super().__init__(name, description=description)
|
||||
|
||||
super(API, self).__init__(name, description)
|
||||
|
||||
class _AccessFeature(Feature, abc.ABC):
|
||||
# superclass: don't use directly
|
||||
def __init__(self, value: str, access: Optional[str] = None, description: Optional[str] = None):
|
||||
super().__init__(value, description=description)
|
||||
if access is not None:
|
||||
if access not in VALID_FEATURE_ACCESS:
|
||||
raise ValueError("%s access type %s not valid" % (self.name, access))
|
||||
self.access = access
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.name, self.value, self.access))
|
||||
|
||||
def __eq__(self, other):
|
||||
return super().__eq__(other) and self.access == other.access
|
||||
|
||||
def get_name_str(self) -> str:
|
||||
if self.access is not None:
|
||||
return f"{self.name}/{self.access}"
|
||||
return self.name
|
||||
|
||||
|
||||
class Property(_AccessFeature):
|
||||
def __init__(self, value: str, access: Optional[str] = None, description=None):
|
||||
super().__init__(value, access=access, description=description)
|
||||
|
||||
|
||||
class Number(Feature):
|
||||
def __init__(self, value, arch=None, description=None):
|
||||
super(Number, self).__init__(value, arch=arch, description=description)
|
||||
def __init__(self, value: Union[int, float], description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
def get_value_str(self):
|
||||
return "0x%X" % self.value
|
||||
if isinstance(self.value, int):
|
||||
return capa.helpers.hex(self.value)
|
||||
elif isinstance(self.value, float):
|
||||
return str(self.value)
|
||||
else:
|
||||
raise ValueError("invalid value type")
|
||||
|
||||
|
||||
# max recognized structure size (and therefore, offset size)
|
||||
MAX_STRUCTURE_SIZE = 0x10000
|
||||
|
||||
|
||||
class Offset(Feature):
|
||||
def __init__(self, value, arch=None, description=None):
|
||||
super(Offset, self).__init__(value, arch=arch, description=description)
|
||||
def __init__(self, value: int, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
def get_value_str(self):
|
||||
return "0x%X" % self.value
|
||||
assert isinstance(self.value, int)
|
||||
return hex(self.value)
|
||||
|
||||
|
||||
class Mnemonic(Feature):
|
||||
def __init__(self, value, description=None):
|
||||
super(Mnemonic, self).__init__(value, description=description)
|
||||
def __init__(self, value: str, description=None):
|
||||
super().__init__(value, description=description)
|
||||
|
||||
|
||||
# max number of operands to consider for a given instruction.
|
||||
# since we only support Intel and .NET, we can assume this is 3
|
||||
# which covers cases up to e.g. "vinserti128 ymm0,ymm0,ymm5,1"
|
||||
MAX_OPERAND_COUNT = 4
|
||||
MAX_OPERAND_INDEX = MAX_OPERAND_COUNT - 1
|
||||
|
||||
|
||||
class _Operand(Feature, abc.ABC):
|
||||
# superclass: don't use directly
|
||||
# subclasses should set self.name and provide the value string formatter
|
||||
def __init__(self, index: int, value: int, description=None):
|
||||
super().__init__(value, description=description)
|
||||
self.index = index
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.name, self.value))
|
||||
|
||||
def __eq__(self, other):
|
||||
return super().__eq__(other) and self.index == other.index
|
||||
|
||||
|
||||
class OperandNumber(_Operand):
|
||||
# cached names so we don't do extra string formatting every ctor
|
||||
NAMES = ["operand[%d].number" % i for i in range(MAX_OPERAND_COUNT)]
|
||||
|
||||
# operand[i].number: 0x12
|
||||
def __init__(self, index: int, value: int, description=None):
|
||||
super().__init__(index, value, description=description)
|
||||
self.name = self.NAMES[index]
|
||||
|
||||
def get_value_str(self) -> str:
|
||||
assert isinstance(self.value, int)
|
||||
return hex(self.value)
|
||||
|
||||
|
||||
class OperandOffset(_Operand):
|
||||
# cached names so we don't do extra string formatting every ctor
|
||||
NAMES = ["operand[%d].offset" % i for i in range(MAX_OPERAND_COUNT)]
|
||||
|
||||
# operand[i].offset: 0x12
|
||||
def __init__(self, index: int, value: int, description=None):
|
||||
super().__init__(index, value, description=description)
|
||||
self.name = self.NAMES[index]
|
||||
|
||||
def get_value_str(self) -> str:
|
||||
assert isinstance(self.value, int)
|
||||
return hex(self.value)
|
||||
|
||||
128
capa/helpers.py
128
capa/helpers.py
@@ -1,36 +1,126 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import os
|
||||
import logging
|
||||
from typing import NoReturn
|
||||
|
||||
_hex = hex
|
||||
from capa.exceptions import UnsupportedFormatError
|
||||
from capa.features.common import FORMAT_PE, FORMAT_SC32, FORMAT_SC64, FORMAT_DOTNET, FORMAT_UNKNOWN, Format
|
||||
|
||||
EXTENSIONS_SHELLCODE_32 = ("sc32", "raw32")
|
||||
EXTENSIONS_SHELLCODE_64 = ("sc64", "raw64")
|
||||
EXTENSIONS_ELF = "elf_"
|
||||
|
||||
logger = logging.getLogger("capa")
|
||||
|
||||
|
||||
def hex(i):
|
||||
# under py2.7, long integers get formatted with a trailing `L`
|
||||
# and this is not pretty. so strip it out.
|
||||
return _hex(oint(i)).rstrip("L")
|
||||
def hex(n: int) -> str:
|
||||
"""render the given number using upper case hex, like: 0x123ABC"""
|
||||
if n < 0:
|
||||
return "-0x%X" % (-n)
|
||||
else:
|
||||
return "0x%X" % n
|
||||
|
||||
|
||||
def oint(i):
|
||||
# there seems to be some trouble with using `int(viv_utils.Function)`
|
||||
# with the black magic we do with binding the `__int__()` routine.
|
||||
# i haven't had a chance to debug this yet (and i have no hotel wifi).
|
||||
# so in the meantime, detect this, and call the method directly.
|
||||
try:
|
||||
return int(i)
|
||||
except TypeError:
|
||||
return i.__int__()
|
||||
|
||||
|
||||
def get_file_taste(sample_path):
|
||||
def get_file_taste(sample_path: str) -> bytes:
|
||||
if not os.path.exists(sample_path):
|
||||
raise IOError("sample path %s does not exist or cannot be accessed" % sample_path)
|
||||
with open(sample_path, "rb") as f:
|
||||
taste = f.read(8)
|
||||
return taste
|
||||
|
||||
|
||||
def is_runtime_ida():
|
||||
try:
|
||||
import idc
|
||||
except ImportError:
|
||||
return False
|
||||
else:
|
||||
return True
|
||||
|
||||
|
||||
def assert_never(value: NoReturn) -> NoReturn:
|
||||
assert False, f"Unhandled value: {value} ({type(value).__name__})"
|
||||
|
||||
|
||||
def get_format_from_extension(sample: str) -> str:
|
||||
if sample.endswith(EXTENSIONS_SHELLCODE_32):
|
||||
return FORMAT_SC32
|
||||
elif sample.endswith(EXTENSIONS_SHELLCODE_64):
|
||||
return FORMAT_SC64
|
||||
return FORMAT_UNKNOWN
|
||||
|
||||
|
||||
def get_auto_format(path: str) -> str:
|
||||
format_ = get_format(path)
|
||||
if format_ == FORMAT_UNKNOWN:
|
||||
format_ = get_format_from_extension(path)
|
||||
if format_ == FORMAT_UNKNOWN:
|
||||
raise UnsupportedFormatError()
|
||||
return format_
|
||||
|
||||
|
||||
def get_format(sample: str) -> str:
|
||||
# imported locally to avoid import cycle
|
||||
from capa.features.extractors.common import extract_format
|
||||
from capa.features.extractors.dnfile_ import DnfileFeatureExtractor
|
||||
|
||||
with open(sample, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
for feature, _ in extract_format(buf):
|
||||
if feature == Format(FORMAT_PE):
|
||||
dnfile_extractor = DnfileFeatureExtractor(sample)
|
||||
if dnfile_extractor.is_dotnet_file():
|
||||
feature = Format(FORMAT_DOTNET)
|
||||
|
||||
assert isinstance(feature.value, str)
|
||||
return feature.value
|
||||
|
||||
return FORMAT_UNKNOWN
|
||||
|
||||
|
||||
def log_unsupported_format_error():
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to be a PE or ELF file.")
|
||||
logger.error(" ")
|
||||
logger.error(
|
||||
" capa currently only supports analyzing PE and ELF files (or shellcode, when using --format sc32|sc64)."
|
||||
)
|
||||
logger.error(" If you don't know the input file type, you can try using the `file` utility to guess it.")
|
||||
logger.error("-" * 80)
|
||||
|
||||
|
||||
def log_unsupported_os_error():
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to target a supported OS.")
|
||||
logger.error(" ")
|
||||
logger.error(
|
||||
" capa currently only supports analyzing executables for some operating systems (including Windows and Linux)."
|
||||
)
|
||||
logger.error("-" * 80)
|
||||
|
||||
|
||||
def log_unsupported_arch_error():
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to target a supported architecture.")
|
||||
logger.error(" ")
|
||||
logger.error(" capa currently only supports analyzing x86 (32- and 64-bit).")
|
||||
logger.error("-" * 80)
|
||||
|
||||
|
||||
def log_unsupported_runtime_error():
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Unsupported runtime or Python interpreter.")
|
||||
logger.error(" ")
|
||||
logger.error(" capa supports running under Python 3.7 and higher.")
|
||||
logger.error(" ")
|
||||
logger.error(
|
||||
" If you're seeing this message on the command line, please ensure you're running a supported Python version."
|
||||
)
|
||||
logger.error("-" * 80)
|
||||
|
||||
252
capa/ida/helpers.py
Normal file
252
capa/ida/helpers.py
Normal file
@@ -0,0 +1,252 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import json
|
||||
import logging
|
||||
import datetime
|
||||
import contextlib
|
||||
from typing import Optional
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
import idautils
|
||||
import ida_bytes
|
||||
import ida_loader
|
||||
from netnode import netnode
|
||||
|
||||
import capa
|
||||
import capa.version
|
||||
import capa.render.utils as rutils
|
||||
import capa.features.common
|
||||
import capa.render.result_document
|
||||
from capa.features.address import AbsoluteVirtualAddress
|
||||
|
||||
logger = logging.getLogger("capa")
|
||||
|
||||
# file type as returned by idainfo.file_type
|
||||
SUPPORTED_FILE_TYPES = (
|
||||
idaapi.f_PE,
|
||||
idaapi.f_ELF,
|
||||
idaapi.f_BIN,
|
||||
idaapi.f_COFF,
|
||||
# idaapi.f_MACHO,
|
||||
)
|
||||
|
||||
# arch type as returned by idainfo.procname
|
||||
SUPPORTED_ARCH_TYPES = ("metapc",)
|
||||
|
||||
CAPA_NETNODE = f"$ com.mandiant.capa.v{capa.version.__version__}"
|
||||
NETNODE_RESULTS = "results"
|
||||
NETNODE_RULES_CACHE_ID = "rules-cache-id"
|
||||
|
||||
|
||||
def inform_user_ida_ui(message):
|
||||
idaapi.info("%s. Please refer to IDA Output window for more information." % message)
|
||||
|
||||
|
||||
def is_supported_ida_version():
|
||||
version = float(idaapi.get_kernel_version())
|
||||
if version < 7.4 or version >= 9:
|
||||
warning_msg = "This plugin does not support your IDA Pro version"
|
||||
logger.warning(warning_msg)
|
||||
logger.warning("Your IDA Pro version is: %s. Supported versions are: IDA >= 7.4 and IDA < 9.0." % version)
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def is_supported_file_type():
|
||||
file_info = idaapi.get_inf_structure()
|
||||
if file_info.filetype not in SUPPORTED_FILE_TYPES:
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to be a supported file type.")
|
||||
logger.error(" ")
|
||||
logger.error(
|
||||
" capa currently only supports analyzing PE, ELF, or binary files containing x86 (32- and 64-bit) shellcode."
|
||||
)
|
||||
logger.error(" If you don't know the input file type, you can try using the `file` utility to guess it.")
|
||||
logger.error("-" * 80)
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def is_supported_arch_type():
|
||||
file_info = idaapi.get_inf_structure()
|
||||
if file_info.procname not in SUPPORTED_ARCH_TYPES or not any((file_info.is_32bit(), file_info.is_64bit())):
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to target a supported architecture.")
|
||||
logger.error(" ")
|
||||
logger.error(" capa currently only supports analyzing x86 (32- and 64-bit).")
|
||||
logger.error("-" * 80)
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def get_disasm_line(va):
|
||||
""" """
|
||||
return idc.generate_disasm_line(va, idc.GENDSM_FORCE_CODE)
|
||||
|
||||
|
||||
def is_func_start(ea):
|
||||
"""check if function stat exists at virtual address"""
|
||||
f = idaapi.get_func(ea)
|
||||
return f and f.start_ea == ea
|
||||
|
||||
|
||||
def get_func_start_ea(ea):
|
||||
""" """
|
||||
f = idaapi.get_func(ea)
|
||||
return f if f is None else f.start_ea
|
||||
|
||||
|
||||
def get_file_md5():
|
||||
""" """
|
||||
md5 = idautils.GetInputFileMD5()
|
||||
if not isinstance(md5, str):
|
||||
md5 = capa.features.common.bytes_to_str(md5)
|
||||
return md5
|
||||
|
||||
|
||||
def get_file_sha256():
|
||||
""" """
|
||||
sha256 = idaapi.retrieve_input_file_sha256()
|
||||
if not isinstance(sha256, str):
|
||||
sha256 = capa.features.common.bytes_to_str(sha256)
|
||||
return sha256
|
||||
|
||||
|
||||
def collect_metadata(rules):
|
||||
""" """
|
||||
md5 = get_file_md5()
|
||||
sha256 = get_file_sha256()
|
||||
|
||||
info: idaapi.idainfo = idaapi.get_inf_structure()
|
||||
if info.procname == "metapc" and info.is_64bit():
|
||||
arch = "x86_64"
|
||||
elif info.procname == "metapc" and info.is_32bit():
|
||||
arch = "x86"
|
||||
else:
|
||||
arch = "unknown arch"
|
||||
|
||||
format_name: str = ida_loader.get_file_type_name()
|
||||
if "PE" in format_name:
|
||||
os = "windows"
|
||||
elif "ELF" in format_name:
|
||||
with contextlib.closing(capa.ida.helpers.IDAIO()) as f:
|
||||
os = capa.features.extractors.elf.detect_elf_os(f)
|
||||
else:
|
||||
os = "unknown os"
|
||||
|
||||
return {
|
||||
"timestamp": datetime.datetime.now().isoformat(),
|
||||
"argv": [],
|
||||
"sample": {
|
||||
"md5": md5,
|
||||
"sha1": "", # not easily accessible
|
||||
"sha256": sha256,
|
||||
"path": idaapi.get_input_file_path(),
|
||||
},
|
||||
"analysis": {
|
||||
"format": idaapi.get_file_type_name(),
|
||||
"arch": arch,
|
||||
"os": os,
|
||||
"extractor": "ida",
|
||||
"rules": rules,
|
||||
"base_address": idaapi.get_imagebase(),
|
||||
"layout": {
|
||||
# this is updated after capabilities have been collected.
|
||||
# will look like:
|
||||
#
|
||||
# "functions": { 0x401000: { "matched_basic_blocks": [ 0x401000, 0x401005, ... ] }, ... }
|
||||
},
|
||||
# ignore these for now - not used by IDA plugin.
|
||||
"feature_counts": {
|
||||
"file": {},
|
||||
"functions": {},
|
||||
},
|
||||
"library_functions": {},
|
||||
},
|
||||
"version": capa.version.__version__,
|
||||
}
|
||||
|
||||
|
||||
class IDAIO:
|
||||
"""
|
||||
An object that acts as a file-like object,
|
||||
using bytes from the current IDB workspace.
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.offset = 0
|
||||
|
||||
def seek(self, offset, whence=0):
|
||||
assert whence == 0
|
||||
self.offset = offset
|
||||
|
||||
def read(self, size):
|
||||
ea = ida_loader.get_fileregion_ea(self.offset)
|
||||
if ea == idc.BADADDR:
|
||||
logger.debug("cannot read 0x%x bytes at 0x%x (ea: BADADDR)", size, self.offset)
|
||||
return b""
|
||||
|
||||
logger.debug("reading 0x%x bytes at 0x%x (ea: 0x%x)", size, self.offset, ea)
|
||||
|
||||
# get_bytes returns None on error, for consistency with read always return bytes
|
||||
return ida_bytes.get_bytes(ea, size) or b""
|
||||
|
||||
def close(self):
|
||||
return
|
||||
|
||||
|
||||
def save_cached_results(resdoc):
|
||||
logger.debug("saving cached capa results to netnode '%s'", CAPA_NETNODE)
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
n[NETNODE_RESULTS] = resdoc.json()
|
||||
|
||||
|
||||
def idb_contains_cached_results() -> bool:
|
||||
try:
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
return bool(n.get(NETNODE_RESULTS))
|
||||
except netnode.NetnodeCorruptError as e:
|
||||
logger.error("%s", e, exc_info=True)
|
||||
return False
|
||||
|
||||
|
||||
def load_and_verify_cached_results() -> Optional[capa.render.result_document.ResultDocument]:
|
||||
"""verifies that cached results have valid (mapped) addresses for the current database"""
|
||||
logger.debug("loading cached capa results from netnode '%s'", CAPA_NETNODE)
|
||||
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
doc = capa.render.result_document.ResultDocument.parse_obj(json.loads(n[NETNODE_RESULTS]))
|
||||
|
||||
for rule in rutils.capability_rules(doc):
|
||||
for location_, _ in rule.matches:
|
||||
location = location_.to_capa()
|
||||
if isinstance(location, AbsoluteVirtualAddress):
|
||||
ea = int(location)
|
||||
if not idaapi.is_mapped(ea):
|
||||
logger.error("cached address %s is not a valid location in this database", hex(ea))
|
||||
return None
|
||||
return doc
|
||||
|
||||
|
||||
def save_rules_cache_id(ruleset_id):
|
||||
logger.debug("saving ruleset ID to netnode '%s'", CAPA_NETNODE)
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
n[NETNODE_RULES_CACHE_ID] = ruleset_id
|
||||
|
||||
|
||||
def load_rules_cache_id():
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
return n[NETNODE_RULES_CACHE_ID]
|
||||
|
||||
|
||||
def delete_cached_results():
|
||||
logger.debug("deleting cached capa data")
|
||||
n = netnode.Netnode(CAPA_NETNODE)
|
||||
del n[NETNODE_RESULTS]
|
||||
@@ -1,108 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import logging
|
||||
import datetime
|
||||
|
||||
import idc
|
||||
import six
|
||||
import idaapi
|
||||
import idautils
|
||||
|
||||
import capa
|
||||
|
||||
logger = logging.getLogger("capa")
|
||||
|
||||
SUPPORTED_IDA_VERSIONS = [
|
||||
"7.1",
|
||||
"7.2",
|
||||
"7.3",
|
||||
"7.4",
|
||||
"7.5",
|
||||
]
|
||||
|
||||
# file type names as returned by idaapi.get_file_type_name()
|
||||
SUPPORTED_FILE_TYPES = [
|
||||
"Portable executable for 80386 (PE)",
|
||||
"Portable executable for AMD64 (PE)",
|
||||
"Binary file", # x86/AMD64 shellcode support
|
||||
]
|
||||
|
||||
|
||||
def inform_user_ida_ui(message):
|
||||
idaapi.info("%s. Please refer to IDA Output window for more information." % message)
|
||||
|
||||
|
||||
def is_supported_ida_version():
|
||||
version = idaapi.get_kernel_version()
|
||||
if version not in SUPPORTED_IDA_VERSIONS:
|
||||
warning_msg = "This plugin does not support your IDA Pro version"
|
||||
logger.warning(warning_msg)
|
||||
logger.warning(
|
||||
"Your IDA Pro version is: %s. Supported versions are: %s." % (version, ", ".join(SUPPORTED_IDA_VERSIONS))
|
||||
)
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def is_supported_file_type():
|
||||
file_type = idaapi.get_file_type_name()
|
||||
if file_type not in SUPPORTED_FILE_TYPES:
|
||||
logger.error("-" * 80)
|
||||
logger.error(" Input file does not appear to be a PE file.")
|
||||
logger.error(" ")
|
||||
logger.error(
|
||||
" capa currently only supports analyzing PE files (or binary files containing x86/AMD64 shellcode) with IDA."
|
||||
)
|
||||
logger.error(" If you don't know the input file type, you can try using the `file` utility to guess it.")
|
||||
logger.error("-" * 80)
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
def get_disasm_line(va):
|
||||
""" """
|
||||
return idc.generate_disasm_line(va, idc.GENDSM_FORCE_CODE)
|
||||
|
||||
|
||||
def is_func_start(ea):
|
||||
""" check if function stat exists at virtual address """
|
||||
f = idaapi.get_func(ea)
|
||||
return f and f.start_ea == ea
|
||||
|
||||
|
||||
def get_func_start_ea(ea):
|
||||
""" """
|
||||
f = idaapi.get_func(ea)
|
||||
return f if f is None else f.start_ea
|
||||
|
||||
|
||||
def collect_metadata():
|
||||
md5 = idautils.GetInputFileMD5()
|
||||
if not isinstance(md5, six.string_types):
|
||||
md5 = capa.features.bytes_to_str(md5)
|
||||
|
||||
sha256 = idaapi.retrieve_input_file_sha256()
|
||||
if not isinstance(sha256, six.string_types):
|
||||
sha256 = capa.features.bytes_to_str(sha256)
|
||||
|
||||
return {
|
||||
"timestamp": datetime.datetime.now().isoformat(),
|
||||
# "argv" is not relevant here
|
||||
"sample": {
|
||||
"md5": md5,
|
||||
"sha1": "", # not easily accessible
|
||||
"sha256": sha256,
|
||||
"path": idaapi.get_input_file_path(),
|
||||
},
|
||||
"analysis": {
|
||||
"format": idaapi.get_file_type_name(),
|
||||
"extractor": "ida",
|
||||
},
|
||||
"version": capa.version.__version__,
|
||||
}
|
||||
@@ -1,111 +1,126 @@
|
||||
# capa explorer
|
||||

|
||||
|
||||
capa explorer is an IDA Pro plugin that integrates the FLARE team's open-source framework, capa, with IDA. capa is a framework that uses a well-defined collection of rules to
|
||||
identify capabilities in a program. You can run capa against a PE file or shellcode and it tells you what it thinks the program can do. For example, it might suggest that
|
||||
the program is a backdoor, can install services, or relies on HTTP to communicate.
|
||||
capa explorer is an IDAPython plugin that integrates the FLARE team's open-source framework, capa, with IDA Pro. capa is a framework that uses a well-defined collection of rules to
|
||||
identify capabilities in a program. You can run capa against a PE file, ELF file, or shellcode and it tells you what it thinks the program can do. For example, it might suggest that
|
||||
the program is a backdoor, can install services, or relies on HTTP to communicate. capa explorer runs capa analysis on your IDA Pro database (IDB) without needing access
|
||||
to the original binary file. Once a database has been analyzed, capa explorer helps you identify interesting areas of a program and build new capa rules using features extracted from your IDB.
|
||||
|
||||
The capa explorer IDA plugin brings capa's detection capabilities to IDA. You can use capa explorer to run capa directly on an IDA database without needing access
|
||||
to the source binary. Once a database has been analyzed, capa explorer can be used to quickly identify and navigate to interesting areas of a program
|
||||
and dissect capa rule matches at the assembly level.
|
||||
|
||||
To illustrate, we use capa explorer to analyze Lab 14-02 from [Practical Malware Analysis](https://nostarch.com/malware) (PMA) available [here](https://practicalmalwareanalysis.com/labs/). Our
|
||||
goal is to understand the program's functionality.
|
||||
We love using capa explorer during malware analysis because it teaches us what parts of a program suggest a behavior. As we click on rows, capa explorer jumps directly
|
||||
to important addresses in the IDB and highlights key features in the Disassembly view so they stand out visually. To illustrate, we use capa explorer to
|
||||
analyze Lab 14-02 from [Practical Malware Analysis](https://nostarch.com/malware) (PMA) available [here](https://practicalmalwareanalysis.com/labs/). Our goal is to understand
|
||||
the program's functionality.
|
||||
|
||||
After loading Lab 14-02 into IDA and analyzing the database with capa explorer, we see that capa detected a rule match for `self delete via COMSPEC environment variable`:
|
||||
|
||||

|
||||

|
||||
|
||||
We can use capa explorer to navigate the IDA Disassembly view directly to the suspect function and get an assembly-level breakdown of why capa matched `self delete via COMSPEC environment variable`
|
||||
for this particular function.
|
||||
We can use capa explorer to navigate our Disassembly view directly to the suspect function and get an assembly-level breakdown of why capa matched `self delete via COMSPEC environment variable`.
|
||||
|
||||

|
||||

|
||||
|
||||
Using the `Rule Information` and `Details` columns capa explorer shows us that the suspect function matched `self delete via COMSPEC environment variable` because it contains capa rule matches for `create process`, `get COMSPEC environment variable`,
|
||||
and `query environment variable`, references to the strings `COMSPEC`, ` > nul`, and `/c del`, and calls to the Windows API functions `GetEnvironmentVariableA` and `ShellExecuteEx`.
|
||||
and `query environment variable`, references to the strings `COMSPEC`, ` > nul`, and `/c del `, and calls to the Windows API functions `GetEnvironmentVariableA` and `ShellExecuteEx`.
|
||||
|
||||
For more information on the FLARE team's open-source framework, capa, check out the overview in our first [blog](https://www.fireeye.com/blog/threat-research/2020/07/capa-automatically-identify-malware-capabilities.html).
|
||||
capa explorer also helps you build and test new capa rules. To start, select the `Rule Generator` tab, navigate to a function in your Disassembly view,
|
||||
and click `Analyze`. capa explorer will extract features from the function and display them in the `Features` pane. You can add features listed in this pane to the `Editor` pane
|
||||
by either double-clicking a feature or using multi-select + right-click to add multiple features at once. The `Preview` and `Editor` panes help edit your rule. Use the `Preview` pane
|
||||
to modify rule text directly and the `Editor` pane to construct and rearrange your hierarchy of statements and features. When you finish a rule you can save it directly to a file by clicking `Save`.
|
||||
|
||||
## Features
|
||||

|
||||
|
||||

|
||||
|
||||
* Display capa results in an interactive tree view of rule matches and their locations in the current database
|
||||
* Search for keywords or phrases found in the `Rule Information`, `Address`, or `Details` columns
|
||||
* Display rule source content when a user hovers their cursor over a rule match
|
||||
* Double-click `Address` column to view associated feature in the IDA Disassembly view
|
||||
* Limit tree view results to the function currently displayed in the IDA Disassembly view; update results as a user navigates to different functions
|
||||
* Export results as formatted JSON by navigating to `File > Export results...`
|
||||
* Remember a user's capa rules directory for future runs; change capa rules directory by navigating to `Rules > Change rules directory...`
|
||||
* Automatically re-analyze database when user performs a program rebase
|
||||
* Automatically update results when IDA is used to rename a function
|
||||
* Select one or more checkboxes to highlight the associated addresses in the IDA Disassembly view
|
||||
* Right-click a function match to rename it; the new function name is propagated to the current IDA database
|
||||
* Right-click to copy a result by column or by row
|
||||
* Sort results by column
|
||||
* Reset tree view and IDA Disassembly view highlighting by clicking `Reset`
|
||||
For more information on the FLARE team's open-source framework, capa, check out the overview in our first [blog](https://www.mandiant.com/resources/capa-automatically-identify-malware-capabilities).
|
||||
|
||||
## Getting Started
|
||||
|
||||
### Requirements
|
||||
|
||||
capa explorer supports the following IDA setups:
|
||||
|
||||
* IDA Pro 7.4+ with Python 2.7 or Python 3.
|
||||
|
||||
If you encounter issues with your specific setup, please open a new [Issue](https://github.com/fireeye/capa/issues).
|
||||
|
||||
### Supported File Types
|
||||
|
||||
capa explorer is limited to the file types supported by capa, which includes:
|
||||
|
||||
* Windows 32-bit and 64-bit PE files
|
||||
* Windows 32-bit and 64-bit shellcode
|
||||
|
||||
### Installation
|
||||
|
||||
You can install capa explorer using the following steps:
|
||||
|
||||
1. Install capa for the Python interpreter used by your IDA installation:
|
||||
1. Install capa and its dependencies from PyPI using the Python interpreter configured for your IDA installation:
|
||||
```
|
||||
$ pip install flare-capa
|
||||
```
|
||||
3. Download the [standard collection of capa rules](https://github.com/fireeye/capa-rules) (capa explorer needs capa rules to analyze a database)
|
||||
4. Copy [capa_explorer.py](https://raw.githubusercontent.com/fireeye/capa/master/capa/ida/plugin/capa_explorer.py) to your IDA plugins directory
|
||||
2. Download and extract the [official capa rules](https://github.com/mandiant/capa-rules/releases) that match the version of capa you have installed
|
||||
1. Use the following command to view the version of capa you have installed:
|
||||
```commandline
|
||||
$ pip show flare-capa
|
||||
OR
|
||||
$ capa --version
|
||||
```
|
||||
3. Copy [capa_explorer.py](https://raw.githubusercontent.com/mandiant/capa/master/capa/ida/plugin/capa_explorer.py) to your IDA plugins directory
|
||||
- find your plugin directories via `idaapi.get_ida_subdirs("plugins")` or see this [Hex-Rays blog](https://hex-rays.com/blog/igors-tip-of-the-week-103-sharing-plugins-between-ida-installs/)
|
||||
- common paths are `%APPDATA%\Hex-Rays\IDA Pro\plugins` (Windows) or `$HOME/.idapro/plugins` on Linux/Mac
|
||||
|
||||
### Supported File Types
|
||||
|
||||
capa explorer is limited to the file types supported by capa, which include:
|
||||
|
||||
* Windows x86 (32- and 64-bit) PE files
|
||||
* Windows x86 (32- and 64-bit) shellcode
|
||||
* ELF files on various operating systems
|
||||
|
||||
### Usage
|
||||
|
||||
1. Run IDA and analyze a supported file type (select `Manual Load` and `Load Resources` for best results)
|
||||
1. Open IDA and analyze a supported file type (select the `Manual Load` and `Load Resources` options in IDA for best results)
|
||||
2. Open capa explorer in IDA by navigating to `Edit > Plugins > FLARE capa explorer` or using the keyboard shortcut `Alt+F5`
|
||||
3. Click `Analyze`
|
||||
You can also use `ida_loader.load_and_run_plugin("capa_explorer", arg)`. `arg` is a bitflag for which setting the LSB enables automatic analysis. See `capa.ida.plugin.form.Options` for more details.
|
||||
3. Select the `Program Analysis` tab
|
||||
4. Click the `Analyze` button
|
||||
|
||||
When running capa explorer for the first time you are prompted to select a file directory containing capa rules. The plugin conveniently
|
||||
remembers your selection for future runs; you can change this selection by navigating to `Rules > Change rules directory...`. We recommend
|
||||
downloading and using the [standard collection of capa rules](https://github.com/fireeye/capa-rules) when getting started with the plugin.
|
||||
The first time you run capa explorer you will be asked to specify a local directory containing capa rules to use for analysis. We recommend downloading and extracting the [official capa rules](https://github.com/mandiant/capa-rules/releases) that match
|
||||
the version of capa you have installed (see installation instructions above for more details). capa explorer remembers your selection for future analysis which you
|
||||
can update using the `Settings` button.
|
||||
|
||||
#### Tips
|
||||
#### Tips for Program Analysis
|
||||
|
||||
* Start analysis by clicking `Analyze`
|
||||
* Reset the plugin user interface and remove highlighting from IDA disassembly view by clicking `Reset`
|
||||
* Change your capa rules directory by navigating to `Rules > Change rules directory...`
|
||||
* Start analysis by clicking the `Analyze` button
|
||||
* capa explorer caches results to the database and reuses them across IDA sessions
|
||||
* Reset the plugin user interface and remove highlighting from your Disassembly view by clicking the `Reset` button
|
||||
* Change your local capa rules directory, auto analysis settings, and other default settings by clicking the `Settings` button
|
||||
* Hover your cursor over a rule match to view the source content of the rule
|
||||
* Double-click the `Address` column to navigate the IDA Disassembly view to the associated feature
|
||||
* Double-click the `Address` column to navigate your Disassembly view to the address of the associated feature
|
||||
* Double-click a result in the `Rule Information` column to expand its children
|
||||
* Select a checkbox in the `Rule Information` column to highlight the address of the associated feature in the IDA Dissasembly view
|
||||
* Select a checkbox in the `Rule Information` column to highlight the address of the associated feature in your Disassembly view
|
||||
|
||||
#### Tips for Rule Generator
|
||||
|
||||
* Navigate to a function in your Disassembly view and click`Analyze` to get started
|
||||
* Double-click or use multi-select + right-click to add features from the `Features` pane to the `Editor` pane
|
||||
* Right-click features in the `Editor` pane to make context-specific modifications
|
||||
* Drag-and-drop (single click + multi-select support) features in the `Editor` pane to construct your hierarchy of statements and features
|
||||
* Right-click anywhere in the `Editor` pane not on a feature to remove all features
|
||||
* Add descriptions or comments to a feature by editing the corresponding column in the `Editor` pane
|
||||
* Directly edit rule text and metadata fields using the `Preview` pane
|
||||
* Change the default rule author and default rule scope displayed in the `Preview` pane by clicking `Settings`
|
||||
|
||||
### Requirements
|
||||
|
||||
capa explorer supports Python versions >= 3.7.x and IDA Pro versions >= 7.4. The following IDA Pro versions have been tested:
|
||||
|
||||
* IDA 7.4
|
||||
* IDA 7.5
|
||||
* IDA 7.6 Service Pack 1
|
||||
* IDA 7.7
|
||||
* IDA 8.0
|
||||
* IDA 8.1
|
||||
* IDA 8.2
|
||||
|
||||
capa explorer is however limited to the Python versions supported by your IDA installation (which may not include all Python versions >= 3.7.x).
|
||||
|
||||
If you encounter issues with your specific setup, please open a new [Issue](https://github.com/mandiant/capa/issues).
|
||||
|
||||
## Development
|
||||
|
||||
Because capa explorer is packaged with capa you will need to install capa locally for development.
|
||||
|
||||
You can install capa locally by following the steps outlined in `Method 3: Inspecting the capa source code` of the [capa
|
||||
installation guide](https://github.com/fireeye/capa/blob/ida_plugin_documentation/doc/installation.md#method-3-inspecting-the-capa-source-code). Once installed, copy [capa_explorer.py](https://raw.githubusercontent.com/fireeye/capa/master/capa/ida/plugin/capa_explorer.py)
|
||||
to your IDA plugins directory to run the plugin in IDA.
|
||||
capa explorer is packaged with capa so you will need to install capa locally for development. You can install capa locally by following the steps outlined in `Method 3: Inspecting the capa source code` of the [capa
|
||||
installation guide](https://github.com/mandiant/capa/blob/master/doc/installation.md#method-3-inspecting-the-capa-source-code). Once installed, copy [capa_explorer.py](https://raw.githubusercontent.com/mandiant/capa/master/capa/ida/plugin/capa_explorer.py)
|
||||
to your plugins directory to install capa explorer in IDA.
|
||||
|
||||
### Components
|
||||
|
||||
capa explorer consists of two main components:
|
||||
|
||||
* An IDA [feature extractor](https://github.com/fireeye/capa/tree/master/capa/features/extractors/ida) built on top of IDA's binary analysis engine
|
||||
* This component uses IDAPython to extract [capa features](https://github.com/fireeye/capa-rules/blob/master/doc/format.md#extracted-features) from the IDA database such as strings,
|
||||
* An [feature extractor](https://github.com/mandiant/capa/tree/master/capa/features/extractors/ida) built on top of IDA's binary analysis engine
|
||||
* This component uses IDAPython to extract [capa features](https://github.com/mandiant/capa-rules/blob/master/doc/format.md#extracted-features) from your IDBs such as strings,
|
||||
disassembly, and control flow; these extracted features are used by capa to find feature combinations that result in a rule match
|
||||
* An [interactive plugin](https://github.com/fireeye/capa/tree/master/capa/ida/plugin) for displaying and exploring capa rule matches
|
||||
* This component integrates the IDA feature extractor and capa, providing an interactive user interface to dissect rule matches found by capa using features extracted by the IDA feature extractor
|
||||
* An [interactive user interface](https://github.com/mandiant/capa/tree/master/capa/ida/plugin) for displaying and exploring capa rule matches
|
||||
* This component integrates the feature extractor and capa, providing an interactive user interface to dissect rule matches found by capa using features extracted directly from your IDBs
|
||||
|
||||
@@ -1,17 +1,15 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import logging
|
||||
|
||||
import idaapi
|
||||
import ida_kernwin
|
||||
|
||||
from capa.ida.helpers import is_supported_file_type, is_supported_ida_version
|
||||
from capa.ida.plugin.form import CapaExplorerForm
|
||||
from capa.ida.plugin.icon import ICON
|
||||
|
||||
@@ -19,7 +17,6 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class CapaExplorerPlugin(idaapi.plugin_t):
|
||||
|
||||
# Mandatory definitions
|
||||
PLUGIN_NAME = "FLARE capa explorer"
|
||||
PLUGIN_VERSION = "1.0.0"
|
||||
@@ -28,8 +25,8 @@ class CapaExplorerPlugin(idaapi.plugin_t):
|
||||
wanted_name = PLUGIN_NAME
|
||||
wanted_hotkey = "ALT-F5"
|
||||
comment = "IDA Pro plugin for the FLARE team's capa tool to identify capabilities in executable files."
|
||||
website = "https://github.com/fireeye/capa"
|
||||
help = "See https://github.com/fireeye/capa/blob/master/doc/usage.md"
|
||||
website = "https://github.com/mandiant/capa"
|
||||
help = "See https://github.com/mandiant/capa/blob/master/doc/usage.md"
|
||||
version = ""
|
||||
flags = 0
|
||||
|
||||
@@ -41,10 +38,14 @@ class CapaExplorerPlugin(idaapi.plugin_t):
|
||||
"""called when IDA is loading the plugin"""
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
|
||||
import capa.ida.helpers
|
||||
|
||||
# do not load plugin if IDA version/file type not supported
|
||||
if not is_supported_ida_version():
|
||||
if not capa.ida.helpers.is_supported_ida_version():
|
||||
return idaapi.PLUGIN_SKIP
|
||||
if not is_supported_file_type():
|
||||
if not capa.ida.helpers.is_supported_file_type():
|
||||
return idaapi.PLUGIN_SKIP
|
||||
if not capa.ida.helpers.is_supported_arch_type():
|
||||
return idaapi.PLUGIN_SKIP
|
||||
return idaapi.PLUGIN_OK
|
||||
|
||||
@@ -53,8 +54,14 @@ class CapaExplorerPlugin(idaapi.plugin_t):
|
||||
pass
|
||||
|
||||
def run(self, arg):
|
||||
"""called when IDA is running the plugin as a script"""
|
||||
self.form = CapaExplorerForm(self.PLUGIN_NAME)
|
||||
"""
|
||||
called when IDA is running the plugin as a script
|
||||
|
||||
args:
|
||||
arg (int): bitflag. Setting LSB enables automatic analysis upon
|
||||
loading. The other bits are currently undefined. See `form.Options`.
|
||||
"""
|
||||
self.form = CapaExplorerForm(self.PLUGIN_NAME, arg)
|
||||
return True
|
||||
|
||||
|
||||
@@ -77,7 +84,7 @@ class CapaExplorerPlugin(idaapi.plugin_t):
|
||||
# so we need to register a callback that's invoked from the main thread after the plugin is registered.
|
||||
#
|
||||
# after a lot of guess-and-check, we can use `UI_Hooks.updated_actions` to
|
||||
# receive notications after IDA has created an action for each plugin.
|
||||
# receive notifications after IDA has created an action for each plugin.
|
||||
# so, create this hook, wait for capa plugin to load, set the icon, and unhook.
|
||||
|
||||
|
||||
@@ -85,7 +92,7 @@ class OnUpdatedActionsHook(ida_kernwin.UI_Hooks):
|
||||
"""register a callback to be invoked each time the UI actions are updated"""
|
||||
|
||||
def __init__(self, cb):
|
||||
super(OnUpdatedActionsHook, self).__init__()
|
||||
super().__init__()
|
||||
self.cb = cb
|
||||
|
||||
def updated_actions(self):
|
||||
|
||||
220
capa/ida/plugin/cache.py
Normal file
220
capa/ida/plugin/cache.py
Normal file
@@ -0,0 +1,220 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import itertools
|
||||
import collections
|
||||
from typing import Set, Dict, List, Tuple, Union, Optional
|
||||
|
||||
import capa.engine
|
||||
from capa.rules import Scope, RuleSet
|
||||
from capa.engine import FeatureSet, MatchResults
|
||||
from capa.features.address import NO_ADDRESS, Address
|
||||
from capa.ida.plugin.extractor import CapaExplorerFeatureExtractor
|
||||
from capa.features.extractors.base_extractor import BBHandle, InsnHandle, FunctionHandle
|
||||
|
||||
|
||||
class CapaRuleGenFeatureCacheNode:
|
||||
def __init__(
|
||||
self,
|
||||
inner: Optional[Union[FunctionHandle, BBHandle, InsnHandle]],
|
||||
parent: Optional[CapaRuleGenFeatureCacheNode],
|
||||
):
|
||||
self.inner: Optional[Union[FunctionHandle, BBHandle, InsnHandle]] = inner
|
||||
self.address = NO_ADDRESS if self.inner is None else self.inner.address
|
||||
self.parent: Optional[CapaRuleGenFeatureCacheNode] = parent
|
||||
|
||||
if self.parent is not None:
|
||||
self.parent.children.add(self)
|
||||
|
||||
self.features: FeatureSet = collections.defaultdict(set)
|
||||
self.children: Set[CapaRuleGenFeatureCacheNode] = set()
|
||||
|
||||
def __hash__(self):
|
||||
# TODO: unique enough?
|
||||
return hash((self.address,))
|
||||
|
||||
def __eq__(self, other):
|
||||
if not isinstance(other, type(self)):
|
||||
return NotImplemented
|
||||
# TODO: unique enough?
|
||||
return self.address == other.address
|
||||
|
||||
|
||||
class CapaRuleGenFeatureCache:
|
||||
def __init__(self, fh_list: List[FunctionHandle], extractor: CapaExplorerFeatureExtractor):
|
||||
self.global_features: FeatureSet = collections.defaultdict(set)
|
||||
|
||||
self.file_node: CapaRuleGenFeatureCacheNode = CapaRuleGenFeatureCacheNode(None, None)
|
||||
self.func_nodes: Dict[Address, CapaRuleGenFeatureCacheNode] = {}
|
||||
self.bb_nodes: Dict[Address, CapaRuleGenFeatureCacheNode] = {}
|
||||
self.insn_nodes: Dict[Address, CapaRuleGenFeatureCacheNode] = {}
|
||||
|
||||
self._find_global_features(extractor)
|
||||
self._find_file_features(extractor)
|
||||
self._find_function_and_below_features(fh_list, extractor)
|
||||
|
||||
def _find_global_features(self, extractor: CapaExplorerFeatureExtractor):
|
||||
for feature, addr in extractor.extract_global_features():
|
||||
# not all global features may have virtual addresses.
|
||||
# if not, then at least ensure the feature shows up in the index.
|
||||
# the set of addresses will still be empty.
|
||||
if addr is not None:
|
||||
self.global_features[feature].add(addr)
|
||||
else:
|
||||
if feature not in self.global_features:
|
||||
self.global_features[feature] = set()
|
||||
|
||||
def _find_file_features(self, extractor: CapaExplorerFeatureExtractor):
|
||||
# not all file features may have virtual addresses.
|
||||
# if not, then at least ensure the feature shows up in the index.
|
||||
# the set of addresses will still be empty.
|
||||
for feature, addr in extractor.extract_file_features():
|
||||
if addr is not None:
|
||||
self.file_node.features[feature].add(addr)
|
||||
else:
|
||||
if feature not in self.file_node.features:
|
||||
self.file_node.features[feature] = set()
|
||||
|
||||
def _find_function_and_below_features(self, fh_list: List[FunctionHandle], extractor: CapaExplorerFeatureExtractor):
|
||||
for fh in fh_list:
|
||||
f_node: CapaRuleGenFeatureCacheNode = CapaRuleGenFeatureCacheNode(fh, self.file_node)
|
||||
|
||||
# extract basic block and below features
|
||||
for bbh in extractor.get_basic_blocks(fh):
|
||||
bb_node: CapaRuleGenFeatureCacheNode = CapaRuleGenFeatureCacheNode(bbh, f_node)
|
||||
|
||||
# extract instruction features
|
||||
for ih in extractor.get_instructions(fh, bbh):
|
||||
inode: CapaRuleGenFeatureCacheNode = CapaRuleGenFeatureCacheNode(ih, bb_node)
|
||||
|
||||
for feature, addr in extractor.extract_insn_features(fh, bbh, ih):
|
||||
inode.features[feature].add(addr)
|
||||
|
||||
self.insn_nodes[inode.address] = inode
|
||||
|
||||
# extract basic block features
|
||||
for feature, addr in extractor.extract_basic_block_features(fh, bbh):
|
||||
bb_node.features[feature].add(addr)
|
||||
|
||||
# store basic block features in cache and function parent
|
||||
self.bb_nodes[bb_node.address] = bb_node
|
||||
|
||||
# extract function features
|
||||
for feature, addr in extractor.extract_function_features(fh):
|
||||
f_node.features[feature].add(addr)
|
||||
|
||||
self.func_nodes[f_node.address] = f_node
|
||||
|
||||
def _find_instruction_capabilities(
|
||||
self, ruleset: RuleSet, insn: CapaRuleGenFeatureCacheNode
|
||||
) -> Tuple[FeatureSet, MatchResults]:
|
||||
features: FeatureSet = collections.defaultdict(set)
|
||||
|
||||
for feature, locs in itertools.chain(insn.features.items(), self.global_features.items()):
|
||||
features[feature].update(locs)
|
||||
|
||||
_, matches = ruleset.match(Scope.INSTRUCTION, features, insn.address)
|
||||
for name, result in matches.items():
|
||||
rule = ruleset[name]
|
||||
for addr, _ in result:
|
||||
capa.engine.index_rule_matches(features, rule, [addr])
|
||||
|
||||
return features, matches
|
||||
|
||||
def _find_basic_block_capabilities(
|
||||
self, ruleset: RuleSet, bb: CapaRuleGenFeatureCacheNode
|
||||
) -> Tuple[FeatureSet, MatchResults, MatchResults]:
|
||||
features: FeatureSet = collections.defaultdict(set)
|
||||
insn_matches: MatchResults = collections.defaultdict(list)
|
||||
|
||||
for insn in bb.children:
|
||||
ifeatures, imatches = self._find_instruction_capabilities(ruleset, insn)
|
||||
for feature, locs in ifeatures.items():
|
||||
features[feature].update(locs)
|
||||
for name, result in imatches.items():
|
||||
insn_matches[name].extend(result)
|
||||
|
||||
for feature, locs in itertools.chain(bb.features.items(), self.global_features.items()):
|
||||
features[feature].update(locs)
|
||||
|
||||
_, matches = ruleset.match(Scope.BASIC_BLOCK, features, bb.address)
|
||||
for name, result in matches.items():
|
||||
rule = ruleset[name]
|
||||
for loc, _ in result:
|
||||
capa.engine.index_rule_matches(features, rule, [loc])
|
||||
|
||||
return features, matches, insn_matches
|
||||
|
||||
def find_code_capabilities(
|
||||
self, ruleset: RuleSet, fh: FunctionHandle
|
||||
) -> Tuple[FeatureSet, MatchResults, MatchResults, MatchResults]:
|
||||
f_node: Optional[CapaRuleGenFeatureCacheNode] = self.func_nodes.get(fh.address, None)
|
||||
if f_node is None:
|
||||
return {}, {}, {}, {}
|
||||
|
||||
insn_matches: MatchResults = collections.defaultdict(list)
|
||||
bb_matches: MatchResults = collections.defaultdict(list)
|
||||
function_features: FeatureSet = collections.defaultdict(set)
|
||||
|
||||
for bb in f_node.children:
|
||||
features, bmatches, imatches = self._find_basic_block_capabilities(ruleset, bb)
|
||||
for feature, locs in features.items():
|
||||
function_features[feature].update(locs)
|
||||
for name, result in bmatches.items():
|
||||
bb_matches[name].extend(result)
|
||||
for name, result in imatches.items():
|
||||
insn_matches[name].extend(result)
|
||||
|
||||
for feature, locs in itertools.chain(f_node.features.items(), self.global_features.items()):
|
||||
function_features[feature].update(locs)
|
||||
|
||||
_, function_matches = ruleset.match(Scope.FUNCTION, function_features, f_node.address)
|
||||
return function_features, function_matches, bb_matches, insn_matches
|
||||
|
||||
def find_file_capabilities(self, ruleset: RuleSet) -> Tuple[FeatureSet, MatchResults]:
|
||||
features: FeatureSet = collections.defaultdict(set)
|
||||
|
||||
for func_node in self.file_node.children:
|
||||
assert func_node.inner is not None
|
||||
assert isinstance(func_node.inner, FunctionHandle)
|
||||
|
||||
func_features, _, _, _ = self.find_code_capabilities(ruleset, func_node.inner)
|
||||
for feature, locs in func_features.items():
|
||||
features[feature].update(locs)
|
||||
|
||||
for feature, locs in itertools.chain(self.file_node.features.items(), self.global_features.items()):
|
||||
features[feature].update(locs)
|
||||
|
||||
_, matches = ruleset.match(Scope.FILE, features, NO_ADDRESS)
|
||||
return features, matches
|
||||
|
||||
def get_all_function_features(self, fh: FunctionHandle) -> FeatureSet:
|
||||
f_node: Optional[CapaRuleGenFeatureCacheNode] = self.func_nodes.get(fh.address, None)
|
||||
if f_node is None:
|
||||
return {}
|
||||
|
||||
all_function_features: FeatureSet = collections.defaultdict(set)
|
||||
all_function_features.update(f_node.features)
|
||||
|
||||
for bb_node in f_node.children:
|
||||
for i_node in bb_node.children:
|
||||
for feature, locs in i_node.features.items():
|
||||
all_function_features[feature].update(locs)
|
||||
for feature, locs in bb_node.features.items():
|
||||
all_function_features[feature].update(locs)
|
||||
|
||||
# include global features just once
|
||||
for feature, locs in self.global_features.items():
|
||||
all_function_features[feature].update(locs)
|
||||
|
||||
return all_function_features
|
||||
|
||||
def get_all_file_features(self):
|
||||
yield from itertools.chain(self.file_node.features.items(), self.global_features.items())
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
|
||||
13
capa/ida/plugin/error.py
Normal file
13
capa/ida/plugin/error.py
Normal file
@@ -0,0 +1,13 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
|
||||
class UserCancelledError(Exception):
|
||||
"""throw exception when user cancels action"""
|
||||
|
||||
pass
|
||||
44
capa/ida/plugin/extractor.py
Normal file
44
capa/ida/plugin/extractor.py
Normal file
@@ -0,0 +1,44 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import ida_kernwin
|
||||
from PyQt5 import QtCore
|
||||
|
||||
from capa.ida.plugin.error import UserCancelledError
|
||||
from capa.features.extractors.ida.extractor import IdaFeatureExtractor
|
||||
from capa.features.extractors.base_extractor import FunctionHandle
|
||||
|
||||
|
||||
class CapaExplorerProgressIndicator(QtCore.QObject):
|
||||
"""implement progress signal, used during feature extraction"""
|
||||
|
||||
progress = QtCore.pyqtSignal(str)
|
||||
|
||||
def update(self, text):
|
||||
"""emit progress update
|
||||
|
||||
check if user cancelled action, raise exception for parent function to catch
|
||||
"""
|
||||
if ida_kernwin.user_cancelled():
|
||||
raise UserCancelledError("user cancelled")
|
||||
self.progress.emit("extracting features from %s" % text)
|
||||
|
||||
|
||||
class CapaExplorerFeatureExtractor(IdaFeatureExtractor):
|
||||
"""subclass the IdaFeatureExtractor
|
||||
|
||||
track progress during feature extraction, also allow user to cancel feature extraction
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.indicator = CapaExplorerProgressIndicator()
|
||||
|
||||
def extract_function_features(self, fh: FunctionHandle):
|
||||
self.indicator.update("function at 0x%X" % fh.inner.start_ea)
|
||||
return super().extract_function_features(fh)
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -16,7 +16,7 @@ class CapaExplorerIdaHooks(idaapi.UI_Hooks):
|
||||
@param screen_ea_changed_hook: function hook for IDA screen ea changed
|
||||
@param action_hooks: dict of IDA action handles
|
||||
"""
|
||||
super(CapaExplorerIdaHooks, self).__init__()
|
||||
super().__init__()
|
||||
|
||||
self.screen_ea_changed_hook = screen_ea_changed_hook
|
||||
self.process_action_hooks = action_hooks
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,14 +6,15 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import sys
|
||||
import codecs
|
||||
from typing import List, Iterator, Optional
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
from PyQt5 import QtCore
|
||||
|
||||
import capa.ida.helpers
|
||||
from capa.features.address import Address, FileOffsetAddress, AbsoluteVirtualAddress
|
||||
|
||||
|
||||
def info_to_name(display):
|
||||
@@ -27,28 +28,27 @@ def info_to_name(display):
|
||||
return ""
|
||||
|
||||
|
||||
def location_to_hex(location):
|
||||
"""convert location to hex for display"""
|
||||
return "%08X" % location
|
||||
def ea_to_hex(ea):
|
||||
"""convert effective address (ea) to hex for display"""
|
||||
return "%08X" % ea
|
||||
|
||||
|
||||
class CapaExplorerDataItem(object):
|
||||
class CapaExplorerDataItem:
|
||||
"""store data for CapaExplorerDataModel"""
|
||||
|
||||
def __init__(self, parent, data):
|
||||
def __init__(self, parent: Optional["CapaExplorerDataItem"], data: List[str], can_check=True):
|
||||
"""initialize item"""
|
||||
self.pred = parent
|
||||
self._data = data
|
||||
self.children = []
|
||||
self._children: List["CapaExplorerDataItem"] = []
|
||||
self._checked = False
|
||||
self._can_check = can_check
|
||||
|
||||
# default state for item
|
||||
self.flags = (
|
||||
QtCore.Qt.ItemIsEnabled
|
||||
| QtCore.Qt.ItemIsSelectable
|
||||
| QtCore.Qt.ItemIsTristate
|
||||
| QtCore.Qt.ItemIsUserCheckable
|
||||
)
|
||||
self.flags = QtCore.Qt.ItemIsEnabled | QtCore.Qt.ItemIsSelectable
|
||||
|
||||
if self._can_check:
|
||||
self.flags = self.flags | QtCore.Qt.ItemIsUserCheckable | QtCore.Qt.ItemIsTristate
|
||||
|
||||
if self.pred:
|
||||
self.pred.appendChild(self)
|
||||
@@ -70,33 +70,37 @@ class CapaExplorerDataItem(object):
|
||||
"""
|
||||
self._checked = checked
|
||||
|
||||
def canCheck(self):
|
||||
""" """
|
||||
return self._can_check
|
||||
|
||||
def isChecked(self):
|
||||
"""get item is checked"""
|
||||
return self._checked
|
||||
|
||||
def appendChild(self, item):
|
||||
def appendChild(self, item: "CapaExplorerDataItem"):
|
||||
"""add a new child to specified item
|
||||
|
||||
@param item: CapaExplorerDataItem
|
||||
"""
|
||||
self.children.append(item)
|
||||
self._children.append(item)
|
||||
|
||||
def child(self, row):
|
||||
def child(self, row: int) -> "CapaExplorerDataItem":
|
||||
"""get child row
|
||||
|
||||
@param row: row number
|
||||
"""
|
||||
return self.children[row]
|
||||
return self._children[row]
|
||||
|
||||
def childCount(self):
|
||||
def childCount(self) -> int:
|
||||
"""get child count"""
|
||||
return len(self.children)
|
||||
return len(self._children)
|
||||
|
||||
def columnCount(self):
|
||||
def columnCount(self) -> int:
|
||||
"""get column count"""
|
||||
return len(self._data)
|
||||
|
||||
def data(self, column):
|
||||
def data(self, column: int) -> Optional[str]:
|
||||
"""get data at column
|
||||
|
||||
@param: column number
|
||||
@@ -106,17 +110,17 @@ class CapaExplorerDataItem(object):
|
||||
except IndexError:
|
||||
return None
|
||||
|
||||
def parent(self):
|
||||
def parent(self) -> Optional["CapaExplorerDataItem"]:
|
||||
"""get parent"""
|
||||
return self.pred
|
||||
|
||||
def row(self):
|
||||
def row(self) -> int:
|
||||
"""get row location"""
|
||||
if self.pred:
|
||||
return self.pred.children.index(self)
|
||||
return self.pred._children.index(self)
|
||||
return 0
|
||||
|
||||
def setData(self, column, value):
|
||||
def setData(self, column: int, value: str):
|
||||
"""set data in column
|
||||
|
||||
@param column: column number
|
||||
@@ -124,14 +128,14 @@ class CapaExplorerDataItem(object):
|
||||
"""
|
||||
self._data[column] = value
|
||||
|
||||
def children(self):
|
||||
def children(self) -> Iterator["CapaExplorerDataItem"]:
|
||||
"""yield children"""
|
||||
for child in self.children:
|
||||
for child in self._children:
|
||||
yield child
|
||||
|
||||
def removeChildren(self):
|
||||
"""remove children"""
|
||||
del self.children[:]
|
||||
del self._children[:]
|
||||
|
||||
def __str__(self):
|
||||
"""get string representation of columns
|
||||
@@ -146,7 +150,7 @@ class CapaExplorerDataItem(object):
|
||||
return self._data[0]
|
||||
|
||||
@property
|
||||
def location(self):
|
||||
def location(self) -> Optional[int]:
|
||||
"""return data stored in location column"""
|
||||
try:
|
||||
# address stored as str, convert to int before return
|
||||
@@ -165,7 +169,9 @@ class CapaExplorerRuleItem(CapaExplorerDataItem):
|
||||
|
||||
fmt = "%s (%d matches)"
|
||||
|
||||
def __init__(self, parent, name, namespace, count, source):
|
||||
def __init__(
|
||||
self, parent: CapaExplorerDataItem, name: str, namespace: str, count: int, source: str, can_check=True
|
||||
):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@@ -175,7 +181,7 @@ class CapaExplorerRuleItem(CapaExplorerDataItem):
|
||||
@param source: rule source (tooltip)
|
||||
"""
|
||||
display = self.fmt % (name, count) if count > 1 else name
|
||||
super(CapaExplorerRuleItem, self).__init__(parent, [display, "", namespace])
|
||||
super().__init__(parent, [display, "", namespace], can_check)
|
||||
self._source = source
|
||||
|
||||
@property
|
||||
@@ -187,19 +193,19 @@ class CapaExplorerRuleItem(CapaExplorerDataItem):
|
||||
class CapaExplorerRuleMatchItem(CapaExplorerDataItem):
|
||||
"""store data for rule match"""
|
||||
|
||||
def __init__(self, parent, display, source=""):
|
||||
def __init__(self, parent: CapaExplorerDataItem, display: str, source=""):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@param display: text to display in UI
|
||||
@param source: rule match source to display (tooltip)
|
||||
"""
|
||||
super(CapaExplorerRuleMatchItem, self).__init__(parent, [display, "", ""])
|
||||
super().__init__(parent, [display, "", ""])
|
||||
self._source = source
|
||||
|
||||
@property
|
||||
def source(self):
|
||||
""" return rule contents for display """
|
||||
"""return rule contents for display"""
|
||||
return self._source
|
||||
|
||||
|
||||
@@ -208,20 +214,20 @@ class CapaExplorerFunctionItem(CapaExplorerDataItem):
|
||||
|
||||
fmt = "function(%s)"
|
||||
|
||||
def __init__(self, parent, location):
|
||||
def __init__(self, parent: CapaExplorerDataItem, location: Address, can_check=True):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@param location: virtual address of function as seen by IDA
|
||||
"""
|
||||
super(CapaExplorerFunctionItem, self).__init__(
|
||||
parent, [self.fmt % idaapi.get_name(location), location_to_hex(location), ""]
|
||||
)
|
||||
assert isinstance(location, AbsoluteVirtualAddress)
|
||||
ea = int(location)
|
||||
super().__init__(parent, [self.fmt % idaapi.get_name(ea), ea_to_hex(ea), ""], can_check)
|
||||
|
||||
@property
|
||||
def info(self):
|
||||
"""return function name"""
|
||||
info = super(CapaExplorerFunctionItem, self).info
|
||||
info = super().info
|
||||
display = info_to_name(info)
|
||||
return display if display else info
|
||||
|
||||
@@ -241,13 +247,13 @@ class CapaExplorerSubscopeItem(CapaExplorerDataItem):
|
||||
|
||||
fmt = "subscope(%s)"
|
||||
|
||||
def __init__(self, parent, scope):
|
||||
def __init__(self, parent: CapaExplorerDataItem, scope):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@param scope: subscope name
|
||||
"""
|
||||
super(CapaExplorerSubscopeItem, self).__init__(parent, [self.fmt % scope, "", ""])
|
||||
super().__init__(parent, [self.fmt % scope, "", ""])
|
||||
|
||||
|
||||
class CapaExplorerBlockItem(CapaExplorerDataItem):
|
||||
@@ -255,19 +261,29 @@ class CapaExplorerBlockItem(CapaExplorerDataItem):
|
||||
|
||||
fmt = "basic block(loc_%08X)"
|
||||
|
||||
def __init__(self, parent, location):
|
||||
def __init__(self, parent: CapaExplorerDataItem, location: Address):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@param location: virtual address of basic block as seen by IDA
|
||||
"""
|
||||
super(CapaExplorerBlockItem, self).__init__(parent, [self.fmt % location, location_to_hex(location), ""])
|
||||
assert isinstance(location, AbsoluteVirtualAddress)
|
||||
ea = int(location)
|
||||
super().__init__(parent, [self.fmt % ea, ea_to_hex(ea), ""])
|
||||
|
||||
|
||||
class CapaExplorerInstructionItem(CapaExplorerBlockItem):
|
||||
"""store data for instruction match"""
|
||||
|
||||
fmt = "instruction(loc_%08X)"
|
||||
|
||||
|
||||
class CapaExplorerDefaultItem(CapaExplorerDataItem):
|
||||
"""store data for default match e.g. statement (and, or)"""
|
||||
|
||||
def __init__(self, parent, display, details="", location=None):
|
||||
def __init__(
|
||||
self, parent: CapaExplorerDataItem, display: str, details: str = "", location: Optional[Address] = None
|
||||
):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@@ -275,14 +291,20 @@ class CapaExplorerDefaultItem(CapaExplorerDataItem):
|
||||
@param details: text to display in details section of UI
|
||||
@param location: virtual address as seen by IDA
|
||||
"""
|
||||
location = location_to_hex(location) if location else ""
|
||||
super(CapaExplorerDefaultItem, self).__init__(parent, [display, location, details])
|
||||
ea = None
|
||||
if location:
|
||||
assert isinstance(location, AbsoluteVirtualAddress)
|
||||
ea = int(location)
|
||||
|
||||
super().__init__(parent, [display, ea_to_hex(ea) if ea is not None else "", details])
|
||||
|
||||
|
||||
class CapaExplorerFeatureItem(CapaExplorerDataItem):
|
||||
"""store data for feature match"""
|
||||
|
||||
def __init__(self, parent, display, location="", details=""):
|
||||
def __init__(
|
||||
self, parent: CapaExplorerDataItem, display: str, location: Optional[Address] = None, details: str = ""
|
||||
):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@@ -290,14 +312,18 @@ class CapaExplorerFeatureItem(CapaExplorerDataItem):
|
||||
@param details: text to display in details section of UI
|
||||
@param location: virtual address as seen by IDA
|
||||
"""
|
||||
location = location_to_hex(location) if location else ""
|
||||
super(CapaExplorerFeatureItem, self).__init__(parent, [display, location, details])
|
||||
if location:
|
||||
assert isinstance(location, (AbsoluteVirtualAddress, FileOffsetAddress))
|
||||
ea = int(location)
|
||||
super().__init__(parent, [display, ea_to_hex(ea), details])
|
||||
else:
|
||||
super().__init__(parent, [display, "", details])
|
||||
|
||||
|
||||
class CapaExplorerInstructionViewItem(CapaExplorerFeatureItem):
|
||||
"""store data for instruction match"""
|
||||
|
||||
def __init__(self, parent, display, location):
|
||||
def __init__(self, parent: CapaExplorerDataItem, display: str, location: Address):
|
||||
"""initialize item
|
||||
|
||||
details section shows disassembly view for match
|
||||
@@ -306,15 +332,17 @@ class CapaExplorerInstructionViewItem(CapaExplorerFeatureItem):
|
||||
@param display: text to display in UI
|
||||
@param location: virtual address as seen by IDA
|
||||
"""
|
||||
details = capa.ida.helpers.get_disasm_line(location)
|
||||
super(CapaExplorerInstructionViewItem, self).__init__(parent, display, location=location, details=details)
|
||||
self.ida_highlight = idc.get_color(location, idc.CIC_ITEM)
|
||||
assert isinstance(location, AbsoluteVirtualAddress)
|
||||
ea = int(location)
|
||||
details = capa.ida.helpers.get_disasm_line(ea)
|
||||
super().__init__(parent, display, location=location, details=details)
|
||||
self.ida_highlight = idc.get_color(ea, idc.CIC_ITEM)
|
||||
|
||||
|
||||
class CapaExplorerByteViewItem(CapaExplorerFeatureItem):
|
||||
"""store data for byte match"""
|
||||
|
||||
def __init__(self, parent, display, location):
|
||||
def __init__(self, parent: CapaExplorerDataItem, display: str, location: Address):
|
||||
"""initialize item
|
||||
|
||||
details section shows byte preview for match
|
||||
@@ -323,30 +351,32 @@ class CapaExplorerByteViewItem(CapaExplorerFeatureItem):
|
||||
@param display: text to display in UI
|
||||
@param location: virtual address as seen by IDA
|
||||
"""
|
||||
byte_snap = idaapi.get_bytes(location, 32)
|
||||
assert isinstance(location, (AbsoluteVirtualAddress, FileOffsetAddress))
|
||||
ea = int(location)
|
||||
|
||||
byte_snap = idaapi.get_bytes(ea, 32)
|
||||
|
||||
details = ""
|
||||
if byte_snap:
|
||||
byte_snap = codecs.encode(byte_snap, "hex").upper()
|
||||
if sys.version_info >= (3, 0):
|
||||
details = " ".join([byte_snap[i : i + 2].decode() for i in range(0, len(byte_snap), 2)])
|
||||
else:
|
||||
details = " ".join([byte_snap[i : i + 2] for i in range(0, len(byte_snap), 2)])
|
||||
else:
|
||||
details = ""
|
||||
details = " ".join([byte_snap[i : i + 2].decode() for i in range(0, len(byte_snap), 2)])
|
||||
|
||||
super(CapaExplorerByteViewItem, self).__init__(parent, display, location=location, details=details)
|
||||
self.ida_highlight = idc.get_color(location, idc.CIC_ITEM)
|
||||
super().__init__(parent, display, location=location, details=details)
|
||||
self.ida_highlight = idc.get_color(ea, idc.CIC_ITEM)
|
||||
|
||||
|
||||
class CapaExplorerStringViewItem(CapaExplorerFeatureItem):
|
||||
"""store data for string match"""
|
||||
|
||||
def __init__(self, parent, display, location, value):
|
||||
def __init__(self, parent: CapaExplorerDataItem, display: str, location: Address, value: str):
|
||||
"""initialize item
|
||||
|
||||
@param parent: parent node
|
||||
@param display: text to display in UI
|
||||
@param location: virtual address as seen by IDA
|
||||
"""
|
||||
super(CapaExplorerStringViewItem, self).__init__(parent, display, location=location, details=value)
|
||||
self.ida_highlight = idc.get_color(location, idc.CIC_ITEM)
|
||||
assert isinstance(location, (AbsoluteVirtualAddress, FileOffsetAddress))
|
||||
ea = int(location)
|
||||
|
||||
super().__init__(parent, display, location=location, details=value)
|
||||
self.ida_highlight = idc.get_color(ea, idc.CIC_ITEM)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,14 +6,20 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
from typing import Set, Dict, List, Tuple, Optional
|
||||
from collections import deque
|
||||
|
||||
import idc
|
||||
import idaapi
|
||||
from PyQt5 import QtGui, QtCore
|
||||
|
||||
import capa.rules
|
||||
import capa.ida.helpers
|
||||
import capa.render.utils as rutils
|
||||
import capa.features.common
|
||||
import capa.features.freeze as frz
|
||||
import capa.render.result_document as rd
|
||||
import capa.features.freeze.features as frzf
|
||||
from capa.ida.plugin.item import (
|
||||
CapaExplorerDataItem,
|
||||
CapaExplorerRuleItem,
|
||||
@@ -25,8 +31,10 @@ from capa.ida.plugin.item import (
|
||||
CapaExplorerSubscopeItem,
|
||||
CapaExplorerRuleMatchItem,
|
||||
CapaExplorerStringViewItem,
|
||||
CapaExplorerInstructionItem,
|
||||
CapaExplorerInstructionViewItem,
|
||||
)
|
||||
from capa.features.address import Address, AbsoluteVirtualAddress
|
||||
|
||||
# default highlight color used in IDA window
|
||||
DEFAULT_HIGHLIGHT = 0xE6C700
|
||||
@@ -43,7 +51,7 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
|
||||
def __init__(self, parent=None):
|
||||
"""initialize model"""
|
||||
super(CapaExplorerDataModel, self).__init__(parent)
|
||||
super().__init__(parent)
|
||||
# root node does not have parent, contains header columns
|
||||
self.root_node = CapaExplorerDataItem(None, ["Rule Information", "Address", "Details"])
|
||||
|
||||
@@ -110,6 +118,8 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
|
||||
if role == QtCore.Qt.CheckStateRole and column == CapaExplorerDataModel.COLUMN_INDEX_RULE_INFORMATION:
|
||||
# inform view how to display content of checkbox - un/checked
|
||||
if not item.canCheck():
|
||||
return None
|
||||
return QtCore.Qt.Checked if item.isChecked() else QtCore.Qt.Unchecked
|
||||
|
||||
if role == QtCore.Qt.FontRole and column in (
|
||||
@@ -133,6 +143,7 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
CapaExplorerFunctionItem,
|
||||
CapaExplorerFeatureItem,
|
||||
CapaExplorerSubscopeItem,
|
||||
CapaExplorerInstructionItem,
|
||||
),
|
||||
)
|
||||
and column == CapaExplorerDataModel.COLUMN_INDEX_RULE_INFORMATION
|
||||
@@ -338,7 +349,14 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
|
||||
return item.childCount()
|
||||
|
||||
def render_capa_doc_statement_node(self, parent, statement, locations, doc):
|
||||
def render_capa_doc_statement_node(
|
||||
self,
|
||||
parent: CapaExplorerDataItem,
|
||||
match: rd.Match,
|
||||
statement: rd.Statement,
|
||||
locations: List[Address],
|
||||
doc: rd.ResultDocument,
|
||||
):
|
||||
"""render capa statement read from doc
|
||||
|
||||
@param parent: parent to which new child is assigned
|
||||
@@ -346,85 +364,154 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
@param locations: locations of children (applies to range only?)
|
||||
@param doc: result doc
|
||||
"""
|
||||
if statement["type"] in ("and", "or", "optional"):
|
||||
display = statement["type"]
|
||||
if statement.get("description"):
|
||||
display += " (%s)" % statement["description"]
|
||||
return CapaExplorerDefaultItem(parent, display)
|
||||
elif statement["type"] == "not":
|
||||
|
||||
if isinstance(statement, rd.CompoundStatement):
|
||||
if statement.type != rd.CompoundStatementType.NOT:
|
||||
display = statement.type
|
||||
if statement.description:
|
||||
display += " (%s)" % statement.description
|
||||
return CapaExplorerDefaultItem(parent, display)
|
||||
elif isinstance(statement, rd.CompoundStatement) and statement.type == rd.CompoundStatementType.NOT:
|
||||
# TODO: do we display 'not'
|
||||
pass
|
||||
elif statement["type"] == "some":
|
||||
display = "%d or more" % statement["count"]
|
||||
if statement.get("description"):
|
||||
display += " (%s)" % statement["description"]
|
||||
elif isinstance(statement, rd.SomeStatement):
|
||||
display = "%d or more" % statement.count
|
||||
if statement.description:
|
||||
display += " (%s)" % statement.description
|
||||
return CapaExplorerDefaultItem(parent, display)
|
||||
elif statement["type"] == "range":
|
||||
elif isinstance(statement, rd.RangeStatement):
|
||||
# `range` is a weird node, its almost a hybrid of statement + feature.
|
||||
# it is a specific feature repeated multiple times.
|
||||
# there's no additional logic in the feature part, just the existence of a feature.
|
||||
# so, we have to inline some of the feature rendering here.
|
||||
display = "count(%s): " % self.capa_doc_feature_to_display(statement["child"])
|
||||
display = "count(%s): " % self.capa_doc_feature_to_display(statement.child)
|
||||
|
||||
if statement["max"] == statement["min"]:
|
||||
display += "%d" % (statement["min"])
|
||||
elif statement["min"] == 0:
|
||||
display += "%d or fewer" % (statement["max"])
|
||||
elif statement["max"] == (1 << 64 - 1):
|
||||
display += "%d or more" % (statement["min"])
|
||||
if statement.max == statement.min:
|
||||
display += "%d" % (statement.min)
|
||||
elif statement.min == 0:
|
||||
display += "%d or fewer" % (statement.max)
|
||||
elif statement.max == (1 << 64 - 1):
|
||||
display += "%d or more" % (statement.min)
|
||||
else:
|
||||
display += "between %d and %d" % (statement["min"], statement["max"])
|
||||
display += "between %d and %d" % (statement.min, statement.max)
|
||||
|
||||
if statement.get("description"):
|
||||
display += " (%s)" % statement["description"]
|
||||
if statement.description:
|
||||
display += " (%s)" % statement.description
|
||||
|
||||
parent2 = CapaExplorerFeatureItem(parent, display=display)
|
||||
|
||||
for location in locations:
|
||||
# for each location render child node for range statement
|
||||
self.render_capa_doc_feature(parent2, statement["child"], location, doc)
|
||||
self.render_capa_doc_feature(parent2, match, statement.child, location, doc)
|
||||
|
||||
return parent2
|
||||
elif statement["type"] == "subscope":
|
||||
display = statement[statement["type"]]
|
||||
if statement.get("description"):
|
||||
display += " (%s)" % statement["description"]
|
||||
elif isinstance(statement, rd.SubscopeStatement):
|
||||
display = str(statement.scope)
|
||||
if statement.description:
|
||||
display += " (%s)" % statement.description
|
||||
return CapaExplorerSubscopeItem(parent, display)
|
||||
else:
|
||||
raise RuntimeError("unexpected match statement type: " + str(statement))
|
||||
|
||||
def render_capa_doc_match(self, parent, match, doc):
|
||||
def render_capa_doc_match(self, parent: CapaExplorerDataItem, match: rd.Match, doc: rd.ResultDocument):
|
||||
"""render capa match read from doc
|
||||
|
||||
@param parent: parent node to which new child is assigned
|
||||
@param match: match read from doc
|
||||
@param doc: result doc
|
||||
"""
|
||||
if not match["success"]:
|
||||
if not match.success:
|
||||
# TODO: display failed branches at some point? Help with debugging rules?
|
||||
return
|
||||
|
||||
# optional statement with no successful children is empty
|
||||
if match["node"].get("statement", {}).get("type") == "optional" and not any(
|
||||
map(lambda m: m["success"], match["children"])
|
||||
):
|
||||
return
|
||||
if isinstance(match.node, rd.StatementNode) and match.node.statement.type == rd.CompoundStatementType.OPTIONAL:
|
||||
if not any(map(lambda m: m.success, match.children)):
|
||||
return
|
||||
|
||||
if match["node"]["type"] == "statement":
|
||||
if isinstance(match.node, rd.StatementNode):
|
||||
parent2 = self.render_capa_doc_statement_node(
|
||||
parent, match["node"]["statement"], match.get("locations", []), doc
|
||||
parent, match, match.node.statement, [addr.to_capa() for addr in match.locations], doc
|
||||
)
|
||||
elif match["node"]["type"] == "feature":
|
||||
elif isinstance(match.node, rd.FeatureNode):
|
||||
parent2 = self.render_capa_doc_feature_node(
|
||||
parent, match["node"]["feature"], match.get("locations", []), doc
|
||||
parent, match, match.node.feature, [addr.to_capa() for addr in match.locations], doc
|
||||
)
|
||||
else:
|
||||
raise RuntimeError("unexpected node type: " + str(match["node"]["type"]))
|
||||
raise RuntimeError("unexpected node type: " + str(match.node.type))
|
||||
|
||||
for child in match.get("children", []):
|
||||
for child in match.children:
|
||||
self.render_capa_doc_match(parent2, child, doc)
|
||||
|
||||
def render_capa_doc(self, doc):
|
||||
def render_capa_doc_by_function(self, doc: rd.ResultDocument):
|
||||
"""render rule matches by function meaning each rule match is nested under function where it was found"""
|
||||
matches_by_function: Dict[AbsoluteVirtualAddress, Tuple[CapaExplorerFunctionItem, Set[str]]] = {}
|
||||
for rule in rutils.capability_rules(doc):
|
||||
match_eas: List[int] = []
|
||||
|
||||
# initial pass of rule matches
|
||||
for addr_, _ in rule.matches:
|
||||
addr: Address = addr_.to_capa()
|
||||
if isinstance(addr, AbsoluteVirtualAddress):
|
||||
match_eas.append(int(addr))
|
||||
|
||||
for ea in match_eas:
|
||||
func_ea: Optional[int] = capa.ida.helpers.get_func_start_ea(ea)
|
||||
if func_ea is None:
|
||||
# rule match address is not located in a defined function
|
||||
continue
|
||||
|
||||
func_address: AbsoluteVirtualAddress = AbsoluteVirtualAddress(func_ea)
|
||||
if not matches_by_function.get(func_address, ()):
|
||||
# create a new function root to nest its rule matches; Note: we must use the address of the
|
||||
# function here so everything is displayed properly
|
||||
matches_by_function[func_address] = (
|
||||
CapaExplorerFunctionItem(self.root_node, func_address, can_check=False),
|
||||
set(),
|
||||
)
|
||||
|
||||
func_root, func_match_cache = matches_by_function[func_address]
|
||||
if rule.meta.name in func_match_cache:
|
||||
# only nest each rule once, so if found, skip
|
||||
continue
|
||||
|
||||
# add matched rule to its function cache; create a new rule node whose parent is the matched
|
||||
# function node
|
||||
func_match_cache.add(rule.meta.name)
|
||||
CapaExplorerRuleItem(
|
||||
func_root,
|
||||
rule.meta.name,
|
||||
rule.meta.namespace or "",
|
||||
len([ea for ea in match_eas if capa.ida.helpers.get_func_start_ea(ea) == func_ea]),
|
||||
rule.source,
|
||||
can_check=False,
|
||||
)
|
||||
|
||||
def render_capa_doc_by_program(self, doc: rd.ResultDocument):
|
||||
""" """
|
||||
for rule in rutils.capability_rules(doc):
|
||||
rule_name = rule.meta.name
|
||||
rule_namespace = rule.meta.namespace or ""
|
||||
parent = CapaExplorerRuleItem(self.root_node, rule_name, rule_namespace, len(rule.matches), rule.source)
|
||||
|
||||
for location_, match in rule.matches:
|
||||
location = location_.to_capa()
|
||||
|
||||
parent2: CapaExplorerDataItem
|
||||
if rule.meta.scope == capa.rules.FILE_SCOPE:
|
||||
parent2 = parent
|
||||
elif rule.meta.scope == capa.rules.FUNCTION_SCOPE:
|
||||
parent2 = CapaExplorerFunctionItem(parent, location)
|
||||
elif rule.meta.scope == capa.rules.BASIC_BLOCK_SCOPE:
|
||||
parent2 = CapaExplorerBlockItem(parent, location)
|
||||
elif rule.meta.scope == capa.rules.INSTRUCTION_SCOPE:
|
||||
parent2 = CapaExplorerInstructionItem(parent, location)
|
||||
else:
|
||||
raise RuntimeError("unexpected rule scope: " + str(rule.meta.scope))
|
||||
|
||||
self.render_capa_doc_match(parent2, match, doc)
|
||||
|
||||
def render_capa_doc(self, doc: rd.ResultDocument, by_function: bool):
|
||||
"""render capa features specified in doc
|
||||
|
||||
@param doc: capa result doc
|
||||
@@ -432,45 +519,52 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
# inform model that changes are about to occur
|
||||
self.beginResetModel()
|
||||
|
||||
for rule in rutils.capability_rules(doc):
|
||||
rule_name = rule["meta"]["name"]
|
||||
rule_namespace = rule["meta"].get("namespace")
|
||||
parent = CapaExplorerRuleItem(
|
||||
self.root_node, rule_name, rule_namespace, len(rule["matches"]), rule["source"]
|
||||
)
|
||||
|
||||
for (location, match) in doc["rules"][rule["meta"]["name"]]["matches"].items():
|
||||
if rule["meta"]["scope"] == capa.rules.FILE_SCOPE:
|
||||
parent2 = parent
|
||||
elif rule["meta"]["scope"] == capa.rules.FUNCTION_SCOPE:
|
||||
parent2 = CapaExplorerFunctionItem(parent, location)
|
||||
elif rule["meta"]["scope"] == capa.rules.BASIC_BLOCK_SCOPE:
|
||||
parent2 = CapaExplorerBlockItem(parent, location)
|
||||
else:
|
||||
raise RuntimeError("unexpected rule scope: " + str(rule["meta"]["scope"]))
|
||||
|
||||
self.render_capa_doc_match(parent2, match, doc)
|
||||
if by_function:
|
||||
self.render_capa_doc_by_function(doc)
|
||||
else:
|
||||
self.render_capa_doc_by_program(doc)
|
||||
|
||||
# inform model changes have ended
|
||||
self.endResetModel()
|
||||
|
||||
def capa_doc_feature_to_display(self, feature):
|
||||
def capa_doc_feature_to_display(self, feature: frzf.Feature):
|
||||
"""convert capa doc feature type string to display string for ui
|
||||
|
||||
@param feature: capa feature read from doc
|
||||
"""
|
||||
if feature[feature["type"]]:
|
||||
if feature.get("description", ""):
|
||||
return "%s(%s = %s)" % (feature["type"], feature[feature["type"]], feature["description"])
|
||||
else:
|
||||
return "%s(%s)" % (feature["type"], feature[feature["type"]])
|
||||
else:
|
||||
return "%s" % feature["type"]
|
||||
key = feature.type
|
||||
value = feature.dict(by_alias=True).get(feature.type)
|
||||
|
||||
def render_capa_doc_feature_node(self, parent, feature, locations, doc):
|
||||
if value:
|
||||
if isinstance(feature, frzf.StringFeature):
|
||||
value = '"%s"' % capa.features.common.escape_string(value)
|
||||
|
||||
if isinstance(feature, frzf.PropertyFeature) and feature.access is not None:
|
||||
key = f"property/{feature.access}"
|
||||
elif isinstance(feature, frzf.OperandNumberFeature):
|
||||
key = f"operand[{feature.index}].number"
|
||||
elif isinstance(feature, frzf.OperandOffsetFeature):
|
||||
key = f"operand[{feature.index}].offset"
|
||||
|
||||
if feature.description:
|
||||
return "%s(%s = %s)" % (key, value, feature.description)
|
||||
else:
|
||||
return "%s(%s)" % (key, value)
|
||||
else:
|
||||
return "%s" % key
|
||||
|
||||
def render_capa_doc_feature_node(
|
||||
self,
|
||||
parent: CapaExplorerDataItem,
|
||||
match: rd.Match,
|
||||
feature: frzf.Feature,
|
||||
locations: List[Address],
|
||||
doc: rd.ResultDocument,
|
||||
):
|
||||
"""process capa doc feature node
|
||||
|
||||
@param parent: parent node to which child is assigned
|
||||
@param match: match information
|
||||
@param feature: capa doc feature node
|
||||
@param locations: locations identified for feature
|
||||
@param doc: capa doc
|
||||
@@ -481,6 +575,7 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
# only one location for feature so no need to nest children
|
||||
parent2 = self.render_capa_doc_feature(
|
||||
parent,
|
||||
match,
|
||||
feature,
|
||||
next(iter(locations)),
|
||||
doc,
|
||||
@@ -491,69 +586,114 @@ class CapaExplorerDataModel(QtCore.QAbstractItemModel):
|
||||
parent2 = CapaExplorerFeatureItem(parent, display)
|
||||
|
||||
for location in sorted(locations):
|
||||
self.render_capa_doc_feature(parent2, feature, location, doc)
|
||||
self.render_capa_doc_feature(parent2, match, feature, location, doc)
|
||||
|
||||
return parent2
|
||||
|
||||
def render_capa_doc_feature(self, parent, feature, location, doc, display="-"):
|
||||
def render_capa_doc_feature(
|
||||
self,
|
||||
parent: CapaExplorerDataItem,
|
||||
match: rd.Match,
|
||||
feature: frzf.Feature,
|
||||
location: Address,
|
||||
doc: rd.ResultDocument,
|
||||
display="-",
|
||||
):
|
||||
"""render capa feature read from doc
|
||||
|
||||
@param parent: parent node to which new child is assigned
|
||||
@param match: match information
|
||||
@param feature: feature read from doc
|
||||
@param doc: capa feature doc
|
||||
@param location: address of feature
|
||||
@param display: text to display in plugin UI
|
||||
"""
|
||||
|
||||
# special handling for characteristic pending type
|
||||
if feature["type"] == "characteristic":
|
||||
if feature[feature["type"]] in ("embedded pe",):
|
||||
if isinstance(feature, frzf.CharacteristicFeature):
|
||||
characteristic = feature.characteristic
|
||||
if characteristic in ("embedded pe",):
|
||||
return CapaExplorerByteViewItem(parent, display, location)
|
||||
|
||||
if feature[feature["type"]] in ("loop", "recursive call", "tight loop"):
|
||||
if characteristic in ("loop", "recursive call", "tight loop"):
|
||||
return CapaExplorerFeatureItem(parent, display=display)
|
||||
|
||||
# default to instruction view for all other characteristics
|
||||
return CapaExplorerInstructionViewItem(parent, display, location)
|
||||
|
||||
if feature["type"] == "match":
|
||||
elif isinstance(feature, frzf.MatchFeature):
|
||||
# display content of rule for all rule matches
|
||||
return CapaExplorerRuleMatchItem(
|
||||
parent, display, source=doc["rules"].get(feature[feature["type"]], {}).get("source", "")
|
||||
)
|
||||
matched_rule_source = ""
|
||||
|
||||
if feature["type"] == "regex":
|
||||
return CapaExplorerStringViewItem(parent, display, location, feature["match"])
|
||||
# check if match is a matched rule
|
||||
matched_rule = doc.rules.get(feature.match, None)
|
||||
if matched_rule is not None:
|
||||
matched_rule_source = matched_rule.source
|
||||
|
||||
if feature["type"] == "basicblock":
|
||||
return CapaExplorerRuleMatchItem(parent, display, source=matched_rule_source)
|
||||
|
||||
elif isinstance(feature, (frzf.RegexFeature, frzf.SubstringFeature)):
|
||||
for capture, addrs in sorted(match.captures.items()):
|
||||
for addr in addrs:
|
||||
assert isinstance(addr, frz.Address)
|
||||
if location == addr.value:
|
||||
return CapaExplorerStringViewItem(
|
||||
parent, display, location, '"' + capa.features.common.escape_string(capture) + '"'
|
||||
)
|
||||
|
||||
# programming error: the given location should always be found in the regex matches
|
||||
raise ValueError("regex match at location not found")
|
||||
|
||||
elif isinstance(feature, frzf.BasicBlockFeature):
|
||||
return CapaExplorerBlockItem(parent, location)
|
||||
|
||||
if feature["type"] in (
|
||||
"bytes",
|
||||
"api",
|
||||
"mnemonic",
|
||||
"number",
|
||||
"offset",
|
||||
"number/x32",
|
||||
"number/x64",
|
||||
"offset/x32",
|
||||
"offset/x64",
|
||||
elif isinstance(
|
||||
feature,
|
||||
(
|
||||
frzf.BytesFeature,
|
||||
frzf.APIFeature,
|
||||
frzf.MnemonicFeature,
|
||||
frzf.NumberFeature,
|
||||
frzf.OffsetFeature,
|
||||
frzf.OperandNumberFeature,
|
||||
frzf.OperandOffsetFeature,
|
||||
),
|
||||
):
|
||||
# display instruction preview
|
||||
return CapaExplorerInstructionViewItem(parent, display, location)
|
||||
|
||||
if feature["type"] in ("section",):
|
||||
elif isinstance(feature, frzf.SectionFeature):
|
||||
# display byte preview
|
||||
return CapaExplorerByteViewItem(parent, display, location)
|
||||
|
||||
if feature["type"] in ("string",):
|
||||
elif isinstance(feature, frzf.StringFeature):
|
||||
# display string preview
|
||||
return CapaExplorerStringViewItem(parent, display, location, feature[feature["type"]])
|
||||
return CapaExplorerStringViewItem(
|
||||
parent, display, location, '"%s"' % capa.features.common.escape_string(feature.string)
|
||||
)
|
||||
|
||||
if feature["type"] in ("import", "export"):
|
||||
elif isinstance(
|
||||
feature,
|
||||
(
|
||||
frzf.ImportFeature,
|
||||
frzf.ExportFeature,
|
||||
frzf.FunctionNameFeature,
|
||||
),
|
||||
):
|
||||
# display no preview
|
||||
return CapaExplorerFeatureItem(parent, location=location, display=display)
|
||||
|
||||
elif isinstance(
|
||||
feature,
|
||||
(
|
||||
frzf.ArchFeature,
|
||||
frzf.OSFeature,
|
||||
frzf.FormatFeature,
|
||||
),
|
||||
):
|
||||
return CapaExplorerFeatureItem(parent, display=display)
|
||||
|
||||
raise RuntimeError("unexpected feature type: " + str(feature["type"]))
|
||||
raise RuntimeError("unexpected feature type: " + str(feature.type))
|
||||
|
||||
def update_function_name(self, old_name, new_name):
|
||||
"""update all instances of old function name with new function name
|
||||
|
||||
@@ -1,11 +1,10 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import six
|
||||
from PyQt5 import QtCore
|
||||
from PyQt5.QtCore import Qt
|
||||
|
||||
@@ -23,7 +22,7 @@ class CapaExplorerRangeProxyModel(QtCore.QSortFilterProxyModel):
|
||||
|
||||
def __init__(self, parent=None):
|
||||
"""initialize proxy filter"""
|
||||
super(CapaExplorerRangeProxyModel, self).__init__(parent)
|
||||
super().__init__(parent)
|
||||
self.min_ea = None
|
||||
self.max_ea = None
|
||||
|
||||
@@ -93,7 +92,7 @@ class CapaExplorerRangeProxyModel(QtCore.QSortFilterProxyModel):
|
||||
@param parent: QModelIndex of parent
|
||||
"""
|
||||
# filter not set
|
||||
if self.min_ea is None and self.max_ea is None:
|
||||
if self.min_ea is None or self.max_ea is None:
|
||||
return True
|
||||
|
||||
index = self.sourceModel().index(row, 0, parent)
|
||||
@@ -146,7 +145,7 @@ class CapaExplorerSearchProxyModel(QtCore.QSortFilterProxyModel):
|
||||
|
||||
def __init__(self, parent=None):
|
||||
""" """
|
||||
super(CapaExplorerSearchProxyModel, self).__init__(parent)
|
||||
super().__init__(parent)
|
||||
self.query = ""
|
||||
self.setFilterKeyColumn(-1) # all columns
|
||||
|
||||
@@ -208,7 +207,7 @@ class CapaExplorerSearchProxyModel(QtCore.QSortFilterProxyModel):
|
||||
if not data:
|
||||
continue
|
||||
|
||||
if not isinstance(data, six.string_types):
|
||||
if not isinstance(data, str):
|
||||
# sanity check: should already be a string, but double check
|
||||
continue
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
1288
capa/main.py
1288
capa/main.py
File diff suppressed because it is too large
Load Diff
70
capa/optimizer.py
Normal file
70
capa/optimizer.py
Normal file
@@ -0,0 +1,70 @@
|
||||
import logging
|
||||
|
||||
import capa.engine as ceng
|
||||
import capa.features.common
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def get_node_cost(node):
|
||||
if isinstance(node, (capa.features.common.OS, capa.features.common.Arch, capa.features.common.Format)):
|
||||
# we assume these are the most restrictive features:
|
||||
# authors commonly use them at the start of rules to restrict the category of samples to inspect
|
||||
return 0
|
||||
|
||||
# elif "everything else":
|
||||
# return 1
|
||||
#
|
||||
# this should be all hash-lookup features.
|
||||
# see below.
|
||||
|
||||
elif isinstance(node, (capa.features.common.Substring, capa.features.common.Regex, capa.features.common.Bytes)):
|
||||
# substring and regex features require a full scan of each string
|
||||
# which we anticipate is more expensive then a hash lookup feature (e.g. mnemonic or count).
|
||||
#
|
||||
# TODO: compute the average cost of these feature relative to hash feature
|
||||
# and adjust the factor accordingly.
|
||||
return 2
|
||||
|
||||
elif isinstance(node, (ceng.Not, ceng.Range)):
|
||||
# the cost of these nodes are defined by the complexity of their single child.
|
||||
return 1 + get_node_cost(node.child)
|
||||
|
||||
elif isinstance(node, (ceng.And, ceng.Or, ceng.Some)):
|
||||
# the cost of these nodes is the full cost of their children
|
||||
# as this is the worst-case scenario.
|
||||
return 1 + sum(map(get_node_cost, node.children))
|
||||
|
||||
else:
|
||||
# this should be all hash-lookup features.
|
||||
# we give this a arbitrary weight of 1.
|
||||
# the only thing more "important" than this is checking OS/Arch/Format.
|
||||
return 1
|
||||
|
||||
|
||||
def optimize_statement(statement):
|
||||
# this routine operates in-place
|
||||
|
||||
if isinstance(statement, (ceng.And, ceng.Or, ceng.Some)):
|
||||
# has .children
|
||||
statement.children = sorted(statement.children, key=get_node_cost)
|
||||
return
|
||||
elif isinstance(statement, (ceng.Not, ceng.Range)):
|
||||
# has .child
|
||||
optimize_statement(statement.child)
|
||||
return
|
||||
else:
|
||||
# appears to be "simple"
|
||||
return
|
||||
|
||||
|
||||
def optimize_rule(rule):
|
||||
# this routine operates in-place
|
||||
optimize_statement(rule.statement)
|
||||
|
||||
|
||||
def optimize_rules(rules):
|
||||
logger.debug("optimizing %d rules", len(rules))
|
||||
for rule in rules:
|
||||
optimize_rule(rule)
|
||||
return rules
|
||||
10
capa/perf.py
Normal file
10
capa/perf.py
Normal file
@@ -0,0 +1,10 @@
|
||||
import typing
|
||||
import collections
|
||||
|
||||
# this structure is unstable and may change before the next major release.
|
||||
counters: typing.Counter[str] = collections.Counter()
|
||||
|
||||
|
||||
def reset():
|
||||
global counters
|
||||
counters = collections.Counter()
|
||||
@@ -1,266 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import json
|
||||
|
||||
import six
|
||||
|
||||
import capa.rules
|
||||
import capa.engine
|
||||
|
||||
|
||||
def convert_statement_to_result_document(statement):
|
||||
"""
|
||||
"statement": {
|
||||
"type": "or"
|
||||
},
|
||||
|
||||
"statement": {
|
||||
"max": 9223372036854775808,
|
||||
"min": 2,
|
||||
"type": "range"
|
||||
},
|
||||
"""
|
||||
statement_type = statement.name.lower()
|
||||
result = {"type": statement_type}
|
||||
if statement.description:
|
||||
result["description"] = statement.description
|
||||
|
||||
if statement_type == "some" and statement.count == 0:
|
||||
result["type"] = "optional"
|
||||
elif statement_type == "some":
|
||||
result["count"] = statement.count
|
||||
elif statement_type == "range":
|
||||
result["min"] = statement.min
|
||||
result["max"] = statement.max
|
||||
result["child"] = convert_feature_to_result_document(statement.child)
|
||||
elif statement_type == "subscope":
|
||||
result["subscope"] = statement.scope
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def convert_feature_to_result_document(feature):
|
||||
"""
|
||||
"feature": {
|
||||
"number": 6,
|
||||
"type": "number"
|
||||
},
|
||||
|
||||
"feature": {
|
||||
"api": "ws2_32.WSASocket",
|
||||
"type": "api"
|
||||
},
|
||||
|
||||
"feature": {
|
||||
"match": "create TCP socket",
|
||||
"type": "match"
|
||||
},
|
||||
|
||||
"feature": {
|
||||
"characteristic": [
|
||||
"loop",
|
||||
true
|
||||
],
|
||||
"type": "characteristic"
|
||||
},
|
||||
"""
|
||||
result = {"type": feature.name, feature.name: feature.get_value_str()}
|
||||
if feature.description:
|
||||
result["description"] = feature.description
|
||||
if feature.name == "regex":
|
||||
result["match"] = feature.match
|
||||
return result
|
||||
|
||||
|
||||
def convert_node_to_result_document(node):
|
||||
"""
|
||||
"node": {
|
||||
"type": "statement",
|
||||
"statement": { ... }
|
||||
},
|
||||
|
||||
"node": {
|
||||
"type": "feature",
|
||||
"feature": { ... }
|
||||
},
|
||||
"""
|
||||
|
||||
if isinstance(node, capa.engine.Statement):
|
||||
return {
|
||||
"type": "statement",
|
||||
"statement": convert_statement_to_result_document(node),
|
||||
}
|
||||
elif isinstance(node, capa.features.Feature):
|
||||
return {
|
||||
"type": "feature",
|
||||
"feature": convert_feature_to_result_document(node),
|
||||
}
|
||||
else:
|
||||
raise RuntimeError("unexpected match node type")
|
||||
|
||||
|
||||
def convert_match_to_result_document(rules, capabilities, result):
|
||||
"""
|
||||
convert the given Result instance into a common, Python-native data structure.
|
||||
this will become part of the "result document" format that can be emitted to JSON.
|
||||
"""
|
||||
doc = {
|
||||
"success": bool(result.success),
|
||||
"node": convert_node_to_result_document(result.statement),
|
||||
"children": [convert_match_to_result_document(rules, capabilities, child) for child in result.children],
|
||||
}
|
||||
|
||||
# logic expression, like `and`, don't have locations - their children do.
|
||||
# so only add `locations` to feature nodes.
|
||||
if isinstance(result.statement, capa.features.Feature):
|
||||
if bool(result.success):
|
||||
doc["locations"] = result.locations
|
||||
elif isinstance(result.statement, capa.rules.Range):
|
||||
if bool(result.success):
|
||||
doc["locations"] = result.locations
|
||||
|
||||
# if we have a `match` statement, then we're referencing another rule.
|
||||
# this could an external rule (written by a human), or
|
||||
# rule generated to support a subscope (basic block, etc.)
|
||||
# we still want to include the matching logic in this tree.
|
||||
#
|
||||
# so, we need to lookup the other rule results
|
||||
# and then filter those down to the address used here.
|
||||
# finally, splice that logic into this tree.
|
||||
if (
|
||||
doc["node"]["type"] == "feature"
|
||||
and doc["node"]["feature"]["type"] == "match"
|
||||
# only add subtree on success,
|
||||
# because there won't be results for the other rule on failure.
|
||||
and doc["success"]
|
||||
):
|
||||
|
||||
rule_name = doc["node"]["feature"]["match"]
|
||||
rule = rules[rule_name]
|
||||
rule_matches = {address: result for (address, result) in capabilities[rule_name]}
|
||||
|
||||
if rule.meta.get("capa/subscope-rule"):
|
||||
# for a subscope rule, fixup the node to be a scope node, rather than a match feature node.
|
||||
#
|
||||
# e.g. `contain loop/30c4c78e29bf4d54894fc74f664c62e8` -> `basic block`
|
||||
scope = rule.meta["scope"]
|
||||
doc["node"] = {
|
||||
"type": "statement",
|
||||
"statement": {
|
||||
"type": "subscope",
|
||||
"subscope": scope,
|
||||
},
|
||||
}
|
||||
|
||||
for location in doc["locations"]:
|
||||
doc["children"].append(convert_match_to_result_document(rules, capabilities, rule_matches[location]))
|
||||
|
||||
return doc
|
||||
|
||||
|
||||
def convert_capabilities_to_result_document(meta, rules, capabilities):
|
||||
"""
|
||||
convert the given rule set and capabilities result to a common, Python-native data structure.
|
||||
this format can be directly emitted to JSON, or passed to the other `render_*` routines
|
||||
to render as text.
|
||||
|
||||
see examples of substructures in above routines.
|
||||
|
||||
schema:
|
||||
|
||||
```json
|
||||
{
|
||||
"meta": {...},
|
||||
"rules: {
|
||||
$rule-name: {
|
||||
"meta": {...copied from rule.meta...},
|
||||
"matches: {
|
||||
$address: {...match details...},
|
||||
...
|
||||
}
|
||||
},
|
||||
...
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Args:
|
||||
meta (Dict[str, Any]):
|
||||
rules (RuleSet):
|
||||
capabilities (Dict[str, List[Tuple[int, Result]]]):
|
||||
"""
|
||||
doc = {
|
||||
"meta": meta,
|
||||
"rules": {},
|
||||
}
|
||||
|
||||
for rule_name, matches in capabilities.items():
|
||||
rule = rules[rule_name]
|
||||
|
||||
if rule.meta.get("capa/subscope-rule"):
|
||||
continue
|
||||
|
||||
doc["rules"][rule_name] = {
|
||||
"meta": dict(rule.meta),
|
||||
"source": rule.definition,
|
||||
"matches": {
|
||||
addr: convert_match_to_result_document(rules, capabilities, match) for (addr, match) in matches
|
||||
},
|
||||
}
|
||||
|
||||
return doc
|
||||
|
||||
|
||||
def render_vverbose(meta, rules, capabilities):
|
||||
# there's an import loop here
|
||||
# if capa.render imports capa.render.vverbose
|
||||
# and capa.render.vverbose import capa.render (implicitly, as a submodule)
|
||||
# so, defer the import until routine is called, breaking the import loop.
|
||||
import capa.render.vverbose
|
||||
|
||||
doc = convert_capabilities_to_result_document(meta, rules, capabilities)
|
||||
return capa.render.vverbose.render_vverbose(doc)
|
||||
|
||||
|
||||
def render_verbose(meta, rules, capabilities):
|
||||
# break import loop
|
||||
import capa.render.verbose
|
||||
|
||||
doc = convert_capabilities_to_result_document(meta, rules, capabilities)
|
||||
return capa.render.verbose.render_verbose(doc)
|
||||
|
||||
|
||||
def render_default(meta, rules, capabilities):
|
||||
# break import loop
|
||||
import capa.render.default
|
||||
import capa.render.verbose
|
||||
|
||||
doc = convert_capabilities_to_result_document(meta, rules, capabilities)
|
||||
return capa.render.default.render_default(doc)
|
||||
|
||||
|
||||
class CapaJsonObjectEncoder(json.JSONEncoder):
|
||||
"""JSON encoder that emits Python sets as sorted lists"""
|
||||
|
||||
def default(self, obj):
|
||||
if isinstance(obj, (list, dict, int, float, bool, type(None))) or isinstance(obj, six.string_types):
|
||||
return json.JSONEncoder.default(self, obj)
|
||||
elif isinstance(obj, set):
|
||||
return list(sorted(obj))
|
||||
else:
|
||||
# probably will TypeError
|
||||
return json.JSONEncoder.default(self, obj)
|
||||
|
||||
|
||||
def render_json(meta, rules, capabilities):
|
||||
return json.dumps(
|
||||
convert_capabilities_to_result_document(meta, rules, capabilities),
|
||||
cls=CapaJsonObjectEncoder,
|
||||
sort_keys=True,
|
||||
)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -8,15 +8,20 @@
|
||||
|
||||
import collections
|
||||
|
||||
import six
|
||||
import tabulate
|
||||
|
||||
import capa.render.utils as rutils
|
||||
import capa.features.freeze as frz
|
||||
import capa.render.result_document as rd
|
||||
import capa.features.freeze.features as frzf
|
||||
from capa.rules import RuleSet
|
||||
from capa.engine import MatchResults
|
||||
from capa.render.utils import StringIO
|
||||
|
||||
tabulate.PRESERVE_WHITESPACE = True
|
||||
|
||||
|
||||
def width(s, character_count):
|
||||
def width(s: str, character_count: int) -> str:
|
||||
"""pad the given string to at least `character_count`"""
|
||||
if len(s) < character_count:
|
||||
return s + " " * (character_count - len(s))
|
||||
@@ -24,47 +29,49 @@ def width(s, character_count):
|
||||
return s
|
||||
|
||||
|
||||
def render_meta(doc, ostream):
|
||||
def render_meta(doc: rd.ResultDocument, ostream: StringIO):
|
||||
rows = [
|
||||
(width("md5", 22), width(doc["meta"]["sample"]["md5"], 82)),
|
||||
("sha1", doc["meta"]["sample"]["sha1"]),
|
||||
("sha256", doc["meta"]["sample"]["sha256"]),
|
||||
("path", doc["meta"]["sample"]["path"]),
|
||||
(width("md5", 22), width(doc.meta.sample.md5, 82)),
|
||||
("sha1", doc.meta.sample.sha1),
|
||||
("sha256", doc.meta.sample.sha256),
|
||||
("os", doc.meta.analysis.os),
|
||||
("format", doc.meta.analysis.format),
|
||||
("arch", doc.meta.analysis.arch),
|
||||
("path", doc.meta.sample.path),
|
||||
]
|
||||
|
||||
ostream.write(tabulate.tabulate(rows, tablefmt="psql"))
|
||||
ostream.write("\n")
|
||||
|
||||
|
||||
def find_subrule_matches(doc):
|
||||
def find_subrule_matches(doc: rd.ResultDocument):
|
||||
"""
|
||||
collect the rule names that have been matched as a subrule match.
|
||||
this way we can avoid displaying entries for things that are too specific.
|
||||
"""
|
||||
matches = set([])
|
||||
|
||||
def rec(node):
|
||||
if not node["success"]:
|
||||
def rec(match: rd.Match):
|
||||
if not match.success:
|
||||
# there's probably a bug here for rules that do `not: match: ...`
|
||||
# but we don't have any examples of this yet
|
||||
return
|
||||
|
||||
elif node["node"]["type"] == "statement":
|
||||
for child in node["children"]:
|
||||
elif isinstance(match.node, rd.StatementNode):
|
||||
for child in match.children:
|
||||
rec(child)
|
||||
|
||||
elif node["node"]["type"] == "feature":
|
||||
if node["node"]["feature"]["type"] == "match":
|
||||
matches.add(node["node"]["feature"]["match"])
|
||||
elif isinstance(match.node, rd.FeatureNode) and isinstance(match.node.feature, frzf.MatchFeature):
|
||||
matches.add(match.node.feature.match)
|
||||
|
||||
for rule in rutils.capability_rules(doc):
|
||||
for node in rule["matches"].values():
|
||||
rec(node)
|
||||
for address, match in rule.matches:
|
||||
rec(match)
|
||||
|
||||
return matches
|
||||
|
||||
|
||||
def render_capabilities(doc, ostream):
|
||||
def render_capabilities(doc: rd.ResultDocument, ostream: StringIO):
|
||||
"""
|
||||
example::
|
||||
|
||||
@@ -80,18 +87,18 @@ def render_capabilities(doc, ostream):
|
||||
|
||||
rows = []
|
||||
for rule in rutils.capability_rules(doc):
|
||||
if rule["meta"]["name"] in subrule_matches:
|
||||
if rule.meta.name in subrule_matches:
|
||||
# rules that are also matched by other rules should not get rendered by default.
|
||||
# this cuts down on the amount of output while giving approx the same detail.
|
||||
# see #224
|
||||
continue
|
||||
|
||||
count = len(rule["matches"])
|
||||
count = len(rule.matches)
|
||||
if count == 1:
|
||||
capability = rutils.bold(rule["meta"]["name"])
|
||||
capability = rutils.bold(rule.meta.name)
|
||||
else:
|
||||
capability = "%s (%d matches)" % (rutils.bold(rule["meta"]["name"]), count)
|
||||
rows.append((capability, rule["meta"]["namespace"]))
|
||||
capability = "%s (%d matches)" % (rutils.bold(rule.meta.name), count)
|
||||
rows.append((capability, rule.meta.namespace))
|
||||
|
||||
if rows:
|
||||
ostream.write(
|
||||
@@ -102,7 +109,7 @@ def render_capabilities(doc, ostream):
|
||||
ostream.writeln(rutils.bold("no capabilities found"))
|
||||
|
||||
|
||||
def render_attack(doc, ostream):
|
||||
def render_attack(doc: rd.ResultDocument, ostream: StringIO):
|
||||
"""
|
||||
example::
|
||||
|
||||
@@ -120,31 +127,17 @@ def render_attack(doc, ostream):
|
||||
"""
|
||||
tactics = collections.defaultdict(set)
|
||||
for rule in rutils.capability_rules(doc):
|
||||
if not rule["meta"].get("att&ck"):
|
||||
continue
|
||||
|
||||
for attack in rule["meta"]["att&ck"]:
|
||||
tactic, _, rest = attack.partition("::")
|
||||
if "::" in rest:
|
||||
technique, _, rest = rest.partition("::")
|
||||
subtechnique, _, id = rest.rpartition(" ")
|
||||
tactics[tactic].add((technique, subtechnique, id))
|
||||
else:
|
||||
technique, _, id = rest.rpartition(" ")
|
||||
tactics[tactic].add((technique, id))
|
||||
for attack in rule.meta.attack:
|
||||
tactics[attack.tactic].add((attack.technique, attack.subtechnique, attack.id))
|
||||
|
||||
rows = []
|
||||
for tactic, techniques in sorted(tactics.items()):
|
||||
inner_rows = []
|
||||
for spec in sorted(techniques):
|
||||
if len(spec) == 2:
|
||||
technique, id = spec
|
||||
for technique, subtechnique, id in sorted(techniques):
|
||||
if not subtechnique:
|
||||
inner_rows.append("%s %s" % (rutils.bold(technique), id))
|
||||
elif len(spec) == 3:
|
||||
technique, subtechnique, id = spec
|
||||
inner_rows.append("%s::%s %s" % (rutils.bold(technique), subtechnique, id))
|
||||
else:
|
||||
raise RuntimeError("unexpected ATT&CK spec format")
|
||||
inner_rows.append("%s::%s %s" % (rutils.bold(technique), subtechnique, id))
|
||||
rows.append(
|
||||
(
|
||||
rutils.bold(tactic.upper()),
|
||||
@@ -161,13 +154,61 @@ def render_attack(doc, ostream):
|
||||
ostream.write("\n")
|
||||
|
||||
|
||||
def render_default(doc):
|
||||
def render_mbc(doc: rd.ResultDocument, ostream: StringIO):
|
||||
"""
|
||||
example::
|
||||
|
||||
+--------------------------+------------------------------------------------------------+
|
||||
| MBC Objective | MBC Behavior |
|
||||
|--------------------------+------------------------------------------------------------|
|
||||
| ANTI-BEHAVIORAL ANALYSIS | Virtual Machine Detection::Instruction Testing [B0009.029] |
|
||||
| COLLECTION | Keylogging::Polling [F0002.002] |
|
||||
| COMMUNICATION | Interprocess Communication::Create Pipe [C0003.001] |
|
||||
| | Interprocess Communication::Write Pipe [C0003.004] |
|
||||
| IMPACT | Remote Access::Reverse Shell [B0022.001] |
|
||||
+--------------------------+------------------------------------------------------------+
|
||||
"""
|
||||
objectives = collections.defaultdict(set)
|
||||
for rule in rutils.capability_rules(doc):
|
||||
for mbc in rule.meta.mbc:
|
||||
objectives[mbc.objective].add((mbc.behavior, mbc.method, mbc.id))
|
||||
|
||||
rows = []
|
||||
for objective, behaviors in sorted(objectives.items()):
|
||||
inner_rows = []
|
||||
for behavior, method, id in sorted(behaviors):
|
||||
if not method:
|
||||
inner_rows.append("%s [%s]" % (rutils.bold(behavior), id))
|
||||
else:
|
||||
inner_rows.append("%s::%s [%s]" % (rutils.bold(behavior), method, id))
|
||||
rows.append(
|
||||
(
|
||||
rutils.bold(objective.upper()),
|
||||
"\n".join(inner_rows),
|
||||
)
|
||||
)
|
||||
|
||||
if rows:
|
||||
ostream.write(
|
||||
tabulate.tabulate(rows, headers=[width("MBC Objective", 25), width("MBC Behavior", 75)], tablefmt="psql")
|
||||
)
|
||||
ostream.write("\n")
|
||||
|
||||
|
||||
def render_default(doc: rd.ResultDocument):
|
||||
ostream = rutils.StringIO()
|
||||
|
||||
render_meta(doc, ostream)
|
||||
ostream.write("\n")
|
||||
render_attack(doc, ostream)
|
||||
ostream.write("\n")
|
||||
render_mbc(doc, ostream)
|
||||
ostream.write("\n")
|
||||
render_capabilities(doc, ostream)
|
||||
|
||||
return ostream.getvalue()
|
||||
|
||||
|
||||
def render(meta, rules: RuleSet, capabilities: MatchResults) -> str:
|
||||
doc = rd.ResultDocument.from_capa(meta, rules, capabilities)
|
||||
return render_default(doc)
|
||||
|
||||
14
capa/render/json.py
Normal file
14
capa/render/json.py
Normal file
@@ -0,0 +1,14 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import capa.render.result_document as rd
|
||||
from capa.rules import RuleSet
|
||||
from capa.engine import MatchResults
|
||||
|
||||
|
||||
def render(meta, rules: RuleSet, capabilities: MatchResults) -> str:
|
||||
return rd.ResultDocument.from_capa(meta, rules, capabilities).json(exclude_none=True)
|
||||
542
capa/render/result_document.py
Normal file
542
capa/render/result_document.py
Normal file
@@ -0,0 +1,542 @@
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
import datetime
|
||||
from typing import Any, Dict, Tuple, Union, Optional
|
||||
|
||||
from pydantic import Field, BaseModel
|
||||
|
||||
import capa.rules
|
||||
import capa.engine
|
||||
import capa.features.common
|
||||
import capa.features.freeze as frz
|
||||
import capa.features.address
|
||||
import capa.features.freeze.features as frzf
|
||||
from capa.rules import RuleSet
|
||||
from capa.engine import MatchResults
|
||||
from capa.helpers import assert_never
|
||||
|
||||
|
||||
class FrozenModel(BaseModel):
|
||||
class Config:
|
||||
frozen = True
|
||||
|
||||
|
||||
class Sample(FrozenModel):
|
||||
md5: str
|
||||
sha1: str
|
||||
sha256: str
|
||||
path: str
|
||||
|
||||
|
||||
class BasicBlockLayout(FrozenModel):
|
||||
address: frz.Address
|
||||
|
||||
|
||||
class FunctionLayout(FrozenModel):
|
||||
address: frz.Address
|
||||
matched_basic_blocks: Tuple[BasicBlockLayout, ...]
|
||||
|
||||
|
||||
class Layout(FrozenModel):
|
||||
functions: Tuple[FunctionLayout, ...]
|
||||
|
||||
|
||||
class LibraryFunction(FrozenModel):
|
||||
address: frz.Address
|
||||
name: str
|
||||
|
||||
|
||||
class FunctionFeatureCount(FrozenModel):
|
||||
address: frz.Address
|
||||
count: int
|
||||
|
||||
|
||||
class FeatureCounts(FrozenModel):
|
||||
file: int
|
||||
functions: Tuple[FunctionFeatureCount, ...]
|
||||
|
||||
|
||||
class Analysis(FrozenModel):
|
||||
format: str
|
||||
arch: str
|
||||
os: str
|
||||
extractor: str
|
||||
rules: Tuple[str, ...]
|
||||
base_address: frz.Address
|
||||
layout: Layout
|
||||
feature_counts: FeatureCounts
|
||||
library_functions: Tuple[LibraryFunction, ...]
|
||||
|
||||
|
||||
class Metadata(FrozenModel):
|
||||
timestamp: datetime.datetime
|
||||
version: str
|
||||
argv: Optional[Tuple[str, ...]]
|
||||
sample: Sample
|
||||
analysis: Analysis
|
||||
|
||||
@classmethod
|
||||
def from_capa(cls, meta: Any) -> "Metadata":
|
||||
return cls(
|
||||
timestamp=meta["timestamp"],
|
||||
version=meta["version"],
|
||||
argv=meta["argv"] if "argv" in meta else None,
|
||||
sample=Sample(
|
||||
md5=meta["sample"]["md5"],
|
||||
sha1=meta["sample"]["sha1"],
|
||||
sha256=meta["sample"]["sha256"],
|
||||
path=meta["sample"]["path"],
|
||||
),
|
||||
analysis=Analysis(
|
||||
format=meta["analysis"]["format"],
|
||||
arch=meta["analysis"]["arch"],
|
||||
os=meta["analysis"]["os"],
|
||||
extractor=meta["analysis"]["extractor"],
|
||||
rules=meta["analysis"]["rules"],
|
||||
base_address=frz.Address.from_capa(meta["analysis"]["base_address"]),
|
||||
layout=Layout(
|
||||
functions=tuple(
|
||||
FunctionLayout(
|
||||
address=frz.Address.from_capa(address),
|
||||
matched_basic_blocks=tuple(
|
||||
BasicBlockLayout(address=frz.Address.from_capa(bb)) for bb in f["matched_basic_blocks"]
|
||||
),
|
||||
)
|
||||
for address, f in meta["analysis"]["layout"]["functions"].items()
|
||||
)
|
||||
),
|
||||
feature_counts=FeatureCounts(
|
||||
file=meta["analysis"]["feature_counts"]["file"],
|
||||
functions=tuple(
|
||||
FunctionFeatureCount(address=frz.Address.from_capa(address), count=count)
|
||||
for address, count in meta["analysis"]["feature_counts"]["functions"].items()
|
||||
),
|
||||
),
|
||||
library_functions=tuple(
|
||||
LibraryFunction(address=frz.Address.from_capa(address), name=name)
|
||||
for address, name in meta["analysis"]["library_functions"].items()
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
class CompoundStatementType:
|
||||
AND = "and"
|
||||
OR = "or"
|
||||
NOT = "not"
|
||||
OPTIONAL = "optional"
|
||||
|
||||
|
||||
class StatementModel(FrozenModel):
|
||||
...
|
||||
|
||||
|
||||
class CompoundStatement(StatementModel):
|
||||
type: str
|
||||
description: Optional[str] = None
|
||||
|
||||
|
||||
class SomeStatement(StatementModel):
|
||||
type = "some"
|
||||
description: Optional[str] = None
|
||||
count: int
|
||||
|
||||
|
||||
class RangeStatement(StatementModel):
|
||||
type = "range"
|
||||
description: Optional[str] = None
|
||||
min: int
|
||||
max: int
|
||||
child: frz.Feature
|
||||
|
||||
|
||||
class SubscopeStatement(StatementModel):
|
||||
type = "subscope"
|
||||
description: Optional[str] = None
|
||||
scope: capa.rules.Scope
|
||||
|
||||
|
||||
Statement = Union[
|
||||
# Note! order matters, see #1161
|
||||
RangeStatement,
|
||||
SomeStatement,
|
||||
SubscopeStatement,
|
||||
CompoundStatement,
|
||||
]
|
||||
|
||||
|
||||
class StatementNode(FrozenModel):
|
||||
type = "statement"
|
||||
statement: Statement
|
||||
|
||||
|
||||
def statement_from_capa(node: capa.engine.Statement) -> Statement:
|
||||
if isinstance(node, (capa.engine.And, capa.engine.Or, capa.engine.Not)):
|
||||
return CompoundStatement(type=node.__class__.__name__.lower(), description=node.description)
|
||||
|
||||
elif isinstance(node, capa.engine.Some):
|
||||
if node.count == 0:
|
||||
return CompoundStatement(type=CompoundStatementType.OPTIONAL, description=node.description)
|
||||
|
||||
else:
|
||||
return SomeStatement(
|
||||
description=node.description,
|
||||
count=node.count,
|
||||
)
|
||||
|
||||
elif isinstance(node, capa.engine.Range):
|
||||
return RangeStatement(
|
||||
description=node.description,
|
||||
min=node.min,
|
||||
max=node.max,
|
||||
child=frz.feature_from_capa(node.child),
|
||||
)
|
||||
|
||||
elif isinstance(node, capa.engine.Subscope):
|
||||
return SubscopeStatement(
|
||||
description=node.description,
|
||||
scope=capa.rules.Scope(node.scope),
|
||||
)
|
||||
|
||||
else:
|
||||
raise NotImplementedError(f"statement_from_capa({type(node)}) not implemented")
|
||||
|
||||
|
||||
class FeatureNode(FrozenModel):
|
||||
type = "feature"
|
||||
feature: frz.Feature
|
||||
|
||||
|
||||
Node = Union[StatementNode, FeatureNode]
|
||||
|
||||
|
||||
def node_from_capa(node: Union[capa.engine.Statement, capa.engine.Feature]) -> Node:
|
||||
if isinstance(node, capa.engine.Statement):
|
||||
return StatementNode(statement=statement_from_capa(node))
|
||||
|
||||
elif isinstance(node, capa.engine.Feature):
|
||||
return FeatureNode(feature=frz.feature_from_capa(node))
|
||||
|
||||
else:
|
||||
assert_never(node)
|
||||
|
||||
|
||||
class Match(BaseModel):
|
||||
"""
|
||||
args:
|
||||
success: did the node match?
|
||||
node: the logic node or feature node.
|
||||
children: any children of the logic node. not relevent for features, can be empty.
|
||||
locations: where the feature matched. not relevant for logic nodes (except range), can be empty.
|
||||
captures: captured values from the string/regex feature, and the locations of those values.
|
||||
"""
|
||||
|
||||
success: bool
|
||||
node: Node
|
||||
children: Tuple["Match", ...]
|
||||
locations: Tuple[frz.Address, ...]
|
||||
captures: Dict[str, Tuple[frz.Address, ...]]
|
||||
|
||||
@classmethod
|
||||
def from_capa(
|
||||
cls,
|
||||
rules: RuleSet,
|
||||
capabilities: MatchResults,
|
||||
result: capa.engine.Result,
|
||||
) -> "Match":
|
||||
success = bool(result)
|
||||
|
||||
node = node_from_capa(result.statement)
|
||||
children = [Match.from_capa(rules, capabilities, child) for child in result.children]
|
||||
|
||||
# logic expression, like `and`, don't have locations - their children do.
|
||||
# so only add `locations` to feature nodes.
|
||||
locations = []
|
||||
if isinstance(node, FeatureNode) and success:
|
||||
locations = list(map(frz.Address.from_capa, result.locations))
|
||||
elif isinstance(node, StatementNode) and isinstance(node.statement, RangeStatement) and success:
|
||||
locations = list(map(frz.Address.from_capa, result.locations))
|
||||
|
||||
captures = {}
|
||||
if isinstance(result.statement, (capa.features.common._MatchedSubstring, capa.features.common._MatchedRegex)):
|
||||
captures = {
|
||||
capture: list(map(frz.Address.from_capa, locs)) for capture, locs in result.statement.matches.items()
|
||||
}
|
||||
|
||||
# if we have a `match` statement, then we're referencing another rule or namespace.
|
||||
# this could an external rule (written by a human), or
|
||||
# rule generated to support a subscope (basic block, etc.)
|
||||
# we still want to include the matching logic in this tree.
|
||||
#
|
||||
# so, we need to lookup the other rule results
|
||||
# and then filter those down to the address used here.
|
||||
# finally, splice that logic into this tree.
|
||||
if (
|
||||
isinstance(node, FeatureNode)
|
||||
and isinstance(node.feature, frzf.MatchFeature)
|
||||
# only add subtree on success,
|
||||
# because there won't be results for the other rule on failure.
|
||||
and success
|
||||
):
|
||||
name = node.feature.match
|
||||
|
||||
if name in rules:
|
||||
# this is a rule that we're matching
|
||||
#
|
||||
# pull matches from the referenced rule into our tree here.
|
||||
rule_name = name
|
||||
rule = rules[rule_name]
|
||||
rule_matches = {address: result for (address, result) in capabilities[rule_name]}
|
||||
|
||||
if rule.is_subscope_rule():
|
||||
# for a subscope rule, fixup the node to be a scope node, rather than a match feature node.
|
||||
#
|
||||
# e.g. `contain loop/30c4c78e29bf4d54894fc74f664c62e8` -> `basic block`
|
||||
#
|
||||
# note! replace `node`
|
||||
node = StatementNode(
|
||||
statement=SubscopeStatement(
|
||||
scope=rule.meta["scope"],
|
||||
)
|
||||
)
|
||||
|
||||
for location in result.locations:
|
||||
children.append(Match.from_capa(rules, capabilities, rule_matches[location]))
|
||||
else:
|
||||
# this is a namespace that we're matching
|
||||
#
|
||||
# check for all rules in the namespace,
|
||||
# seeing if they matched.
|
||||
# if so, pull their matches into our match tree here.
|
||||
ns_name = name
|
||||
ns_rules = rules.rules_by_namespace[ns_name]
|
||||
|
||||
for rule in ns_rules:
|
||||
if rule.name in capabilities:
|
||||
# the rule matched, so splice results into our tree here.
|
||||
#
|
||||
# note, there's a shortcoming in our result document schema here:
|
||||
# we lose the name of the rule that matched in a namespace.
|
||||
# for example, if we have a statement: `match: runtime/dotnet`
|
||||
# and we get matches, we can say the following:
|
||||
#
|
||||
# match: runtime/dotnet @ 0x0
|
||||
# or:
|
||||
# import: mscoree._CorExeMain @ 0x402000
|
||||
#
|
||||
# however, we lose the fact that it was rule
|
||||
# "compiled to the .NET platform"
|
||||
# that contained this logic and did the match.
|
||||
#
|
||||
# we could introduce an intermediate node here.
|
||||
# this would be a breaking change and require updates to the renderers.
|
||||
# in the meantime, the above might be sufficient.
|
||||
rule_matches = {address: result for (address, result) in capabilities[rule.name]}
|
||||
for location in result.locations:
|
||||
# doc[locations] contains all matches for the given namespace.
|
||||
# for example, the feature might be `match: anti-analysis/packer`
|
||||
# which matches against "generic unpacker" and "UPX".
|
||||
# in this case, doc[locations] contains locations for *both* of thse.
|
||||
#
|
||||
# rule_matches contains the matches for the specific rule.
|
||||
# this is a subset of doc[locations].
|
||||
#
|
||||
# so, grab only the locations for current rule.
|
||||
if location in rule_matches:
|
||||
children.append(Match.from_capa(rules, capabilities, rule_matches[location]))
|
||||
|
||||
return cls(
|
||||
success=success,
|
||||
node=node,
|
||||
children=children,
|
||||
locations=locations,
|
||||
captures=captures,
|
||||
)
|
||||
|
||||
|
||||
def parse_parts_id(s: str):
|
||||
id_ = ""
|
||||
parts = s.split("::")
|
||||
if len(parts) > 0:
|
||||
last = parts.pop()
|
||||
last, _, id_ = last.rpartition(" ")
|
||||
id_ = id_.lstrip("[").rstrip("]")
|
||||
parts.append(last)
|
||||
return tuple(parts), id_
|
||||
|
||||
|
||||
class AttackSpec(FrozenModel):
|
||||
"""
|
||||
given an ATT&CK spec like: `Tactic::Technique::Subtechnique [Identifier]`
|
||||
e.g., `Execution::Command and Scripting Interpreter::Python [T1059.006]`
|
||||
|
||||
args:
|
||||
tactic: like `Tactic` above, perhaps "Execution"
|
||||
technique: like `Technique` above, perhaps "Command and Scripting Interpreter"
|
||||
subtechnique: like `Subtechnique` above, perhaps "Python"
|
||||
id: like `Identifier` above, perhaps "T1059.006"
|
||||
"""
|
||||
|
||||
parts: Tuple[str, ...]
|
||||
tactic: str
|
||||
technique: str
|
||||
subtechnique: str
|
||||
id: str
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, s) -> "AttackSpec":
|
||||
tactic = ""
|
||||
technique = ""
|
||||
subtechnique = ""
|
||||
parts, id_ = parse_parts_id(s)
|
||||
if len(parts) > 0:
|
||||
tactic = parts[0]
|
||||
if len(parts) > 1:
|
||||
technique = parts[1]
|
||||
if len(parts) > 2:
|
||||
subtechnique = parts[2]
|
||||
|
||||
return cls(
|
||||
parts=parts,
|
||||
tactic=tactic,
|
||||
technique=technique,
|
||||
subtechnique=subtechnique,
|
||||
id=id_,
|
||||
)
|
||||
|
||||
|
||||
class MBCSpec(FrozenModel):
|
||||
"""
|
||||
given an MBC spec like: `Objective::Behavior::Method [Identifier]`
|
||||
e.g., `Collection::Input Capture::Mouse Events [E1056.m01]`
|
||||
|
||||
args:
|
||||
objective: like `Objective` above, perhaps "Collection"
|
||||
behavior: like `Behavior` above, perhaps "Input Capture"
|
||||
method: like `Method` above, perhaps "Mouse Events"
|
||||
id: like `Identifier` above, perhaps "E1056.m01"
|
||||
"""
|
||||
|
||||
parts: Tuple[str, ...]
|
||||
objective: str
|
||||
behavior: str
|
||||
method: str
|
||||
id: str
|
||||
|
||||
@classmethod
|
||||
def from_str(cls, s) -> "MBCSpec":
|
||||
objective = ""
|
||||
behavior = ""
|
||||
method = ""
|
||||
parts, id_ = parse_parts_id(s)
|
||||
if len(parts) > 0:
|
||||
objective = parts[0]
|
||||
if len(parts) > 1:
|
||||
behavior = parts[1]
|
||||
if len(parts) > 2:
|
||||
method = parts[2]
|
||||
|
||||
return cls(
|
||||
parts=parts,
|
||||
objective=objective,
|
||||
behavior=behavior,
|
||||
method=method,
|
||||
id=id_,
|
||||
)
|
||||
|
||||
|
||||
class MaecMetadata(FrozenModel):
|
||||
analysis_conclusion: Optional[str] = Field(None, alias="analysis-conclusion")
|
||||
analysis_conclusion_ov: Optional[str] = Field(None, alias="analysis-conclusion-ov")
|
||||
malware_family: Optional[str] = Field(None, alias="malware-family")
|
||||
malware_category: Optional[str] = Field(None, alias="malware-category")
|
||||
malware_category_ov: Optional[str] = Field(None, alias="malware-category-ov")
|
||||
|
||||
class Config:
|
||||
frozen = True
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class RuleMetadata(FrozenModel):
|
||||
name: str
|
||||
namespace: Optional[str]
|
||||
authors: Tuple[str, ...]
|
||||
scope: capa.rules.Scope
|
||||
attack: Tuple[AttackSpec, ...] = Field(alias="att&ck")
|
||||
mbc: Tuple[MBCSpec, ...]
|
||||
references: Tuple[str, ...]
|
||||
examples: Tuple[str, ...]
|
||||
description: str
|
||||
|
||||
lib: bool = Field(False, alias="lib")
|
||||
is_subscope_rule: bool = Field(False, alias="capa/subscope")
|
||||
maec: MaecMetadata
|
||||
|
||||
@classmethod
|
||||
def from_capa(cls, rule: capa.rules.Rule) -> "RuleMetadata":
|
||||
return cls(
|
||||
name=rule.meta.get("name"),
|
||||
namespace=rule.meta.get("namespace"),
|
||||
authors=rule.meta.get("authors"),
|
||||
scope=capa.rules.Scope(rule.meta.get("scope")),
|
||||
attack=list(map(AttackSpec.from_str, rule.meta.get("att&ck", []))),
|
||||
mbc=list(map(MBCSpec.from_str, rule.meta.get("mbc", []))),
|
||||
references=rule.meta.get("references", []),
|
||||
examples=rule.meta.get("examples", []),
|
||||
description=rule.meta.get("description", ""),
|
||||
lib=rule.meta.get("lib", False),
|
||||
capa_subscope=rule.meta.get("capa/subscope", False),
|
||||
maec=MaecMetadata(
|
||||
analysis_conclusion=rule.meta.get("maec/analysis-conclusion"),
|
||||
analysis_conclusion_ov=rule.meta.get("maec/analysis-conclusion-ov"),
|
||||
malware_family=rule.meta.get("maec/malware-family"),
|
||||
malware_category=rule.meta.get("maec/malware-category"),
|
||||
malware_category_ov=rule.meta.get("maec/malware-category-ov"),
|
||||
),
|
||||
)
|
||||
|
||||
class Config:
|
||||
frozen = True
|
||||
allow_population_by_field_name = True
|
||||
|
||||
|
||||
class RuleMatches(BaseModel):
|
||||
"""
|
||||
args:
|
||||
meta: the metadata from the rule
|
||||
source: the raw rule text
|
||||
"""
|
||||
|
||||
meta: RuleMetadata
|
||||
source: str
|
||||
matches: Tuple[Tuple[frz.Address, Match], ...]
|
||||
|
||||
|
||||
class ResultDocument(BaseModel):
|
||||
meta: Metadata
|
||||
rules: Dict[str, RuleMatches]
|
||||
|
||||
@classmethod
|
||||
def from_capa(cls, meta, rules: RuleSet, capabilities: MatchResults) -> "ResultDocument":
|
||||
rule_matches: Dict[str, RuleMatches] = {}
|
||||
for rule_name, matches in capabilities.items():
|
||||
rule = rules[rule_name]
|
||||
|
||||
if rule.meta.get("capa/subscope-rule"):
|
||||
continue
|
||||
|
||||
rule_matches[rule_name] = RuleMatches(
|
||||
meta=RuleMetadata.from_capa(rule),
|
||||
source=rule.definition,
|
||||
matches=tuple(
|
||||
(frz.Address.from_capa(addr), Match.from_capa(rules, capabilities, match))
|
||||
for addr, match in matches
|
||||
),
|
||||
)
|
||||
|
||||
return ResultDocument(meta=Metadata.from_capa(meta), rules=rule_matches)
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,50 +6,57 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import six
|
||||
import io
|
||||
from typing import Union, Iterator
|
||||
|
||||
import termcolor
|
||||
|
||||
import capa.render.result_document as rd
|
||||
|
||||
def bold(s):
|
||||
|
||||
def bold(s: str) -> str:
|
||||
"""draw attention to the given string"""
|
||||
return termcolor.colored(s, "blue")
|
||||
|
||||
|
||||
def bold2(s):
|
||||
def bold2(s: str) -> str:
|
||||
"""draw attention to the given string, within a `bold` section"""
|
||||
return termcolor.colored(s, "green")
|
||||
|
||||
|
||||
def hex(n):
|
||||
"""render the given number using upper case hex, like: 0x123ABC"""
|
||||
if n < 0:
|
||||
return "-0x%X" % (-n)
|
||||
else:
|
||||
return "0x%X" % n
|
||||
def warn(s: str) -> str:
|
||||
return termcolor.colored(s, "yellow")
|
||||
|
||||
|
||||
def capability_rules(doc):
|
||||
def format_parts_id(data: Union[rd.AttackSpec, rd.MBCSpec]):
|
||||
"""
|
||||
format canonical representation of ATT&CK/MBC parts and ID
|
||||
"""
|
||||
return "%s [%s]" % ("::".join(data.parts), data.id)
|
||||
|
||||
|
||||
def capability_rules(doc: rd.ResultDocument) -> Iterator[rd.RuleMatches]:
|
||||
"""enumerate the rules in (namespace, name) order that are 'capability' rules (not lib/subscope/disposition/etc)."""
|
||||
for (_, _, rule) in sorted(
|
||||
map(lambda rule: (rule["meta"].get("namespace", ""), rule["meta"]["name"], rule), doc["rules"].values())
|
||||
):
|
||||
if rule["meta"].get("lib"):
|
||||
for _, _, rule in sorted(map(lambda rule: (rule.meta.namespace or "", rule.meta.name, rule), doc.rules.values())):
|
||||
if rule.meta.lib:
|
||||
continue
|
||||
if rule["meta"].get("capa/subscope"):
|
||||
if rule.meta.is_subscope_rule:
|
||||
continue
|
||||
if rule["meta"].get("maec/analysis-conclusion"):
|
||||
if rule.meta.maec.analysis_conclusion:
|
||||
continue
|
||||
if rule["meta"].get("maec/analysis-conclusion-ov"):
|
||||
if rule.meta.maec.analysis_conclusion_ov:
|
||||
continue
|
||||
if rule["meta"].get("maec/malware-category"):
|
||||
if rule.meta.maec.malware_family:
|
||||
continue
|
||||
if rule["meta"].get("maec/malware-category-ov"):
|
||||
if rule.meta.maec.malware_category:
|
||||
continue
|
||||
if rule.meta.maec.malware_category_ov:
|
||||
continue
|
||||
|
||||
yield rule
|
||||
|
||||
|
||||
class StringIO(six.StringIO):
|
||||
class StringIO(io.StringIO):
|
||||
def writeln(self, s):
|
||||
self.write(s)
|
||||
self.write("\n")
|
||||
|
||||
@@ -3,7 +3,7 @@ example::
|
||||
|
||||
send data
|
||||
namespace communication
|
||||
author william.ballenthin@fireeye.com
|
||||
author william.ballenthin@mandiant.com
|
||||
description all known techniques for sending data to a potential C2 server
|
||||
scope function
|
||||
examples BFB9B5391A13D0AFD787E87AB90F14F5:0x13145D60
|
||||
@@ -14,7 +14,7 @@ example::
|
||||
0x10003415
|
||||
0x10003797
|
||||
|
||||
Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -22,13 +22,38 @@ Unless required by applicable law or agreed to in writing, software distributed
|
||||
is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and limitations under the License.
|
||||
"""
|
||||
import enum
|
||||
|
||||
import tabulate
|
||||
|
||||
import capa.rules
|
||||
import capa.helpers
|
||||
import capa.render.utils as rutils
|
||||
import capa.features.freeze as frz
|
||||
import capa.render.result_document as rd
|
||||
from capa.rules import RuleSet
|
||||
from capa.engine import MatchResults
|
||||
|
||||
|
||||
def render_meta(ostream, doc):
|
||||
def format_address(address: frz.Address) -> str:
|
||||
if address.type == frz.AddressType.ABSOLUTE:
|
||||
return capa.helpers.hex(address.value)
|
||||
elif address.type == frz.AddressType.RELATIVE:
|
||||
return f"base address+{capa.helpers.hex(address.value)}"
|
||||
elif address.type == frz.AddressType.FILE:
|
||||
return f"file+{capa.helpers.hex(address.value)}"
|
||||
elif address.type == frz.AddressType.DN_TOKEN:
|
||||
return f"token({capa.helpers.hex(address.value)})"
|
||||
elif address.type == frz.AddressType.DN_TOKEN_OFFSET:
|
||||
token, offset = address.value
|
||||
return f"token({capa.helpers.hex(token)})+{capa.helpers.hex(offset)}"
|
||||
elif address.type == frz.AddressType.NO_ADDRESS:
|
||||
return "global"
|
||||
else:
|
||||
raise ValueError("unexpected address type")
|
||||
|
||||
|
||||
def render_meta(ostream, doc: rd.ResultDocument):
|
||||
"""
|
||||
like:
|
||||
|
||||
@@ -38,7 +63,9 @@ def render_meta(ostream, doc):
|
||||
path /tmp/suspicious.dll_
|
||||
timestamp 2020-07-03T10:17:05.796933
|
||||
capa version 0.0.0
|
||||
format auto
|
||||
os windows
|
||||
format pe
|
||||
arch amd64
|
||||
extractor VivisectFeatureExtractor
|
||||
base address 0x10000000
|
||||
rules (embedded rules)
|
||||
@@ -46,27 +73,31 @@ def render_meta(ostream, doc):
|
||||
total feature count 1918
|
||||
"""
|
||||
rows = [
|
||||
("md5", doc["meta"]["sample"]["md5"]),
|
||||
("sha1", doc["meta"]["sample"]["sha1"]),
|
||||
("sha256", doc["meta"]["sample"]["sha256"]),
|
||||
("path", doc["meta"]["sample"]["path"]),
|
||||
("timestamp", doc["meta"]["timestamp"]),
|
||||
("capa version", doc["meta"]["version"]),
|
||||
("format", doc["meta"]["analysis"]["format"]),
|
||||
("extractor", doc["meta"]["analysis"]["extractor"]),
|
||||
("base address", hex(doc["meta"]["analysis"]["base_address"])),
|
||||
("rules", doc["meta"]["analysis"]["rules"]),
|
||||
("function count", len(doc["meta"]["analysis"]["feature_counts"]["functions"])),
|
||||
("md5", doc.meta.sample.md5),
|
||||
("sha1", doc.meta.sample.sha1),
|
||||
("sha256", doc.meta.sample.sha256),
|
||||
("path", doc.meta.sample.path),
|
||||
("timestamp", doc.meta.timestamp),
|
||||
("capa version", doc.meta.version),
|
||||
("os", doc.meta.analysis.os),
|
||||
("format", doc.meta.analysis.format),
|
||||
("arch", doc.meta.analysis.arch),
|
||||
("extractor", doc.meta.analysis.extractor),
|
||||
("base address", format_address(doc.meta.analysis.base_address)),
|
||||
("rules", "\n".join(doc.meta.analysis.rules)),
|
||||
("function count", len(doc.meta.analysis.feature_counts.functions)),
|
||||
("library function count", len(doc.meta.analysis.library_functions)),
|
||||
(
|
||||
"total feature count",
|
||||
doc["meta"]["analysis"]["feature_counts"]["file"]
|
||||
+ sum(doc["meta"]["analysis"]["feature_counts"]["functions"].values()),
|
||||
doc.meta.analysis.feature_counts.file
|
||||
+ sum(map(lambda f: f.count, doc.meta.analysis.feature_counts.functions)),
|
||||
),
|
||||
]
|
||||
|
||||
ostream.writeln(tabulate.tabulate(rows, tablefmt="plain"))
|
||||
|
||||
|
||||
def render_rules(ostream, doc):
|
||||
def render_rules(ostream, doc: rd.ResultDocument):
|
||||
"""
|
||||
like:
|
||||
|
||||
@@ -79,28 +110,32 @@ def render_rules(ostream, doc):
|
||||
"""
|
||||
had_match = False
|
||||
for rule in rutils.capability_rules(doc):
|
||||
count = len(rule["matches"])
|
||||
count = len(rule.matches)
|
||||
if count == 1:
|
||||
capability = rutils.bold(rule["meta"]["name"])
|
||||
capability = rutils.bold(rule.meta.name)
|
||||
else:
|
||||
capability = "%s (%d matches)" % (rutils.bold(rule["meta"]["name"]), count)
|
||||
capability = "%s (%d matches)" % (rutils.bold(rule.meta.name), count)
|
||||
|
||||
ostream.writeln(capability)
|
||||
had_match = True
|
||||
|
||||
rows = []
|
||||
for key in ("namespace", "description", "scope"):
|
||||
if key == "name" or key not in rule["meta"]:
|
||||
v = getattr(rule.meta, key)
|
||||
if not v:
|
||||
continue
|
||||
|
||||
v = rule["meta"][key]
|
||||
if isinstance(v, list) and len(v) == 1:
|
||||
v = v[0]
|
||||
|
||||
if isinstance(v, enum.Enum):
|
||||
v = v.value
|
||||
|
||||
rows.append((key, v))
|
||||
|
||||
if rule["meta"]["scope"] != capa.rules.FILE_SCOPE:
|
||||
locations = doc["rules"][rule["meta"]["name"]]["matches"].keys()
|
||||
rows.append(("matches", "\n".join(map(rutils.hex, locations))))
|
||||
if rule.meta.scope != capa.rules.FILE_SCOPE:
|
||||
locations = list(map(lambda m: m[0], doc.rules[rule.meta.name].matches))
|
||||
rows.append(("matches", "\n".join(map(format_address, locations))))
|
||||
|
||||
ostream.writeln(tabulate.tabulate(rows, tablefmt="plain"))
|
||||
ostream.write("\n")
|
||||
@@ -109,7 +144,7 @@ def render_rules(ostream, doc):
|
||||
ostream.writeln(rutils.bold("no capabilities found"))
|
||||
|
||||
|
||||
def render_verbose(doc):
|
||||
def render_verbose(doc: rd.ResultDocument):
|
||||
ostream = rutils.StringIO()
|
||||
|
||||
render_meta(ostream, doc)
|
||||
@@ -119,3 +154,7 @@ def render_verbose(doc):
|
||||
ostream.write("\n")
|
||||
|
||||
return ostream.getvalue()
|
||||
|
||||
|
||||
def render(meta, rules: RuleSet, capabilities: MatchResults) -> str:
|
||||
return render_verbose(rd.ResultDocument.from_capa(meta, rules, capabilities))
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Copyright (C) 2020 Mandiant, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
@@ -6,109 +6,201 @@
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import collections
|
||||
from typing import Dict, Iterable
|
||||
|
||||
import tabulate
|
||||
|
||||
import capa.rules
|
||||
import capa.helpers
|
||||
import capa.render.utils as rutils
|
||||
import capa.render.verbose
|
||||
import capa.features.common
|
||||
import capa.features.freeze as frz
|
||||
import capa.features.address
|
||||
import capa.render.result_document as rd
|
||||
import capa.features.freeze.features as frzf
|
||||
from capa.rules import RuleSet
|
||||
from capa.engine import MatchResults
|
||||
|
||||
|
||||
def render_locations(ostream, match):
|
||||
def render_locations(ostream, locations: Iterable[frz.Address]):
|
||||
import capa.render.verbose as v
|
||||
|
||||
# its possible to have an empty locations array here,
|
||||
# such as when we're in MODE_FAILURE and showing the logic
|
||||
# under a `not` statement (which will have no matched locations).
|
||||
locations = list(sorted(match.get("locations", [])))
|
||||
locations = list(sorted(locations))
|
||||
|
||||
if len(locations) == 0:
|
||||
return
|
||||
|
||||
ostream.write(" @ ")
|
||||
|
||||
if len(locations) == 1:
|
||||
ostream.write(" @ ")
|
||||
ostream.write(rutils.hex(locations[0]))
|
||||
ostream.write(v.format_address(locations[0]))
|
||||
|
||||
elif len(locations) > 4:
|
||||
# don't display too many locations, because it becomes very noisy.
|
||||
# probably only the first handful of locations will be useful for inspection.
|
||||
ostream.write(", ".join(map(v.format_address, locations[0:4])))
|
||||
ostream.write(", and %d more..." % (len(locations) - 4))
|
||||
|
||||
elif len(locations) > 1:
|
||||
ostream.write(" @ ")
|
||||
if len(locations) > 4:
|
||||
# don't display too many locations, because it becomes very noisy.
|
||||
# probably only the first handful of locations will be useful for inspection.
|
||||
ostream.write(", ".join(map(rutils.hex, locations[0:4])))
|
||||
ostream.write(", and %d more..." % (len(locations) - 4))
|
||||
else:
|
||||
ostream.write(", ".join(map(rutils.hex, locations)))
|
||||
ostream.write(", ".join(map(v.format_address, locations)))
|
||||
|
||||
else:
|
||||
raise RuntimeError("unreachable")
|
||||
|
||||
|
||||
def render_statement(ostream, match, statement, indent=0):
|
||||
def render_statement(ostream, match: rd.Match, statement: rd.Statement, indent=0):
|
||||
ostream.write(" " * indent)
|
||||
if statement["type"] in ("and", "or", "optional", "not", "subscope"):
|
||||
ostream.write(statement["type"])
|
||||
|
||||
if isinstance(statement, rd.SubscopeStatement):
|
||||
# emit `basic block:`
|
||||
# rather than `subscope:`
|
||||
ostream.write(statement.scope)
|
||||
|
||||
ostream.write(":")
|
||||
if statement.get("description"):
|
||||
ostream.write(" = %s" % statement["description"])
|
||||
if statement.description:
|
||||
ostream.write(" = %s" % statement.description)
|
||||
ostream.writeln("")
|
||||
elif statement["type"] == "some":
|
||||
ostream.write("%d or more:" % (statement["count"]))
|
||||
if statement.get("description"):
|
||||
ostream.write(" = %s" % statement["description"])
|
||||
|
||||
elif isinstance(statement, (rd.CompoundStatement)):
|
||||
# emit `and:` `or:` `optional:` `not:`
|
||||
ostream.write(statement.type)
|
||||
|
||||
ostream.write(":")
|
||||
if statement.description:
|
||||
ostream.write(" = %s" % statement.description)
|
||||
ostream.writeln("")
|
||||
elif statement["type"] == "range":
|
||||
|
||||
elif isinstance(statement, rd.SomeStatement):
|
||||
ostream.write("%d or more:" % (statement.count))
|
||||
|
||||
if statement.description:
|
||||
ostream.write(" = %s" % statement.description)
|
||||
ostream.writeln("")
|
||||
|
||||
elif isinstance(statement, rd.RangeStatement):
|
||||
# `range` is a weird node, its almost a hybrid of statement+feature.
|
||||
# it is a specific feature repeated multiple times.
|
||||
# there's no additional logic in the feature part, just the existence of a feature.
|
||||
# so, we have to inline some of the feature rendering here.
|
||||
|
||||
child = statement["child"]
|
||||
child = statement.child
|
||||
value = child.dict(by_alias=True).get(child.type)
|
||||
|
||||
if child[child["type"]]:
|
||||
value = rutils.bold2(child[child["type"]])
|
||||
if child.get("description"):
|
||||
ostream.write("count(%s(%s = %s)): " % (child["type"], value, child["description"]))
|
||||
if value:
|
||||
if isinstance(child, frzf.StringFeature):
|
||||
value = '"%s"' % capa.features.common.escape_string(value)
|
||||
|
||||
value = rutils.bold2(value)
|
||||
|
||||
if child.description:
|
||||
ostream.write("count(%s(%s = %s)): " % (child.type, value, child.description))
|
||||
else:
|
||||
ostream.write("count(%s(%s)): " % (child["type"], value))
|
||||
ostream.write("count(%s(%s)): " % (child.type, value))
|
||||
else:
|
||||
ostream.write("count(%s): " % child["type"])
|
||||
ostream.write("count(%s): " % child.type)
|
||||
|
||||
if statement["max"] == statement["min"]:
|
||||
ostream.write("%d" % (statement["min"]))
|
||||
elif statement["min"] == 0:
|
||||
ostream.write("%d or fewer" % (statement["max"]))
|
||||
elif statement["max"] == (1 << 64 - 1):
|
||||
ostream.write("%d or more" % (statement["min"]))
|
||||
if statement.max == statement.min:
|
||||
ostream.write("%d" % (statement.min))
|
||||
elif statement.min == 0:
|
||||
ostream.write("%d or fewer" % (statement.max))
|
||||
elif statement.max == (1 << 64 - 1):
|
||||
ostream.write("%d or more" % (statement.min))
|
||||
else:
|
||||
ostream.write("between %d and %d" % (statement["min"], statement["max"]))
|
||||
ostream.write("between %d and %d" % (statement.min, statement.max))
|
||||
|
||||
if statement.get("description"):
|
||||
ostream.write(" = %s" % statement["description"])
|
||||
render_locations(ostream, match)
|
||||
if statement.description:
|
||||
ostream.write(" = %s" % statement.description)
|
||||
render_locations(ostream, match.locations)
|
||||
ostream.writeln("")
|
||||
|
||||
else:
|
||||
raise RuntimeError("unexpected match statement type: " + str(statement))
|
||||
|
||||
|
||||
def render_feature(ostream, match, feature, indent=0):
|
||||
def render_string_value(s: str) -> str:
|
||||
return '"%s"' % capa.features.common.escape_string(s)
|
||||
|
||||
|
||||
def render_feature(ostream, match: rd.Match, feature: frzf.Feature, indent=0):
|
||||
ostream.write(" " * indent)
|
||||
|
||||
key = feature["type"]
|
||||
value = feature[feature["type"]]
|
||||
if key == "regex":
|
||||
key = "string" # render string for regex to mirror the rule source
|
||||
value = feature["match"] # the match provides more information than the value for regex
|
||||
key = feature.type
|
||||
if isinstance(feature, frzf.BasicBlockFeature):
|
||||
# i don't think it makes sense to have standalone basic block features.
|
||||
# we don't parse them from rules, only things like: `count(basic block) > 1`
|
||||
raise ValueError("cannot render basic block feature directly")
|
||||
elif isinstance(feature, frzf.ImportFeature):
|
||||
# fixup access to Python reserved name
|
||||
value = feature.import_
|
||||
elif isinstance(feature, frzf.ClassFeature):
|
||||
value = feature.class_
|
||||
else:
|
||||
# convert attributes to dictionary using aliased names, if applicable
|
||||
value = feature.dict(by_alias=True).get(key, None)
|
||||
|
||||
ostream.write(key)
|
||||
ostream.write(": ")
|
||||
if value is None:
|
||||
raise ValueError("%s contains None" % key)
|
||||
|
||||
if value:
|
||||
ostream.write(rutils.bold2(value))
|
||||
if not isinstance(feature, (frzf.RegexFeature, frzf.SubstringFeature)):
|
||||
# like:
|
||||
# number: 10 = SOME_CONSTANT @ 0x401000
|
||||
if isinstance(feature, frzf.StringFeature):
|
||||
value = render_string_value(value)
|
||||
|
||||
if "description" in feature:
|
||||
ostream.write(capa.rules.DESCRIPTION_SEPARATOR)
|
||||
ostream.write(feature["description"])
|
||||
elif isinstance(
|
||||
feature, (frzf.NumberFeature, frzf.OffsetFeature, frzf.OperandNumberFeature, frzf.OperandOffsetFeature)
|
||||
):
|
||||
assert isinstance(value, int)
|
||||
value = capa.helpers.hex(value)
|
||||
|
||||
render_locations(ostream, match)
|
||||
ostream.write("\n")
|
||||
if isinstance(feature, frzf.PropertyFeature) and feature.access is not None:
|
||||
key = f"property/{feature.access}"
|
||||
|
||||
elif isinstance(feature, frzf.OperandNumberFeature):
|
||||
key = f"operand[{feature.index}].number"
|
||||
|
||||
elif isinstance(feature, frzf.OperandOffsetFeature):
|
||||
key = f"operand[{feature.index}].offset"
|
||||
|
||||
ostream.write(f"{key}: ")
|
||||
|
||||
if value:
|
||||
ostream.write(rutils.bold2(value))
|
||||
|
||||
if feature.description:
|
||||
ostream.write(capa.rules.DESCRIPTION_SEPARATOR)
|
||||
ostream.write(feature.description)
|
||||
|
||||
if not isinstance(feature, (frzf.OSFeature, frzf.ArchFeature, frzf.FormatFeature)):
|
||||
render_locations(ostream, match.locations)
|
||||
ostream.write("\n")
|
||||
else:
|
||||
# like:
|
||||
# regex: /blah/ = SOME_CONSTANT
|
||||
# - "foo blah baz" @ 0x401000
|
||||
# - "aaa blah bbb" @ 0x402000, 0x403400
|
||||
ostream.write(key)
|
||||
ostream.write(": ")
|
||||
ostream.write(value)
|
||||
ostream.write("\n")
|
||||
|
||||
for capture, locations in sorted(match.captures.items()):
|
||||
ostream.write(" " * (indent + 1))
|
||||
ostream.write("- ")
|
||||
ostream.write(rutils.bold2(render_string_value(capture)))
|
||||
render_locations(ostream, locations)
|
||||
ostream.write("\n")
|
||||
|
||||
|
||||
def render_node(ostream, match, node, indent=0):
|
||||
if node["type"] == "statement":
|
||||
render_statement(ostream, match, node["statement"], indent=indent)
|
||||
elif node["type"] == "feature":
|
||||
render_feature(ostream, match, node["feature"], indent=indent)
|
||||
def render_node(ostream, match: rd.Match, node: rd.Node, indent=0):
|
||||
if isinstance(node, rd.StatementNode):
|
||||
render_statement(ostream, match, node.statement, indent=indent)
|
||||
elif isinstance(node, rd.FeatureNode):
|
||||
render_feature(ostream, match, node.feature, indent=indent)
|
||||
else:
|
||||
raise RuntimeError("unexpected node type: " + str(node))
|
||||
|
||||
@@ -121,105 +213,166 @@ MODE_SUCCESS = "success"
|
||||
MODE_FAILURE = "failure"
|
||||
|
||||
|
||||
def render_match(ostream, match, indent=0, mode=MODE_SUCCESS):
|
||||
def render_match(ostream, match: rd.Match, indent=0, mode=MODE_SUCCESS):
|
||||
child_mode = mode
|
||||
if mode == MODE_SUCCESS:
|
||||
# display only nodes that evaluated successfully.
|
||||
if not match["success"]:
|
||||
if not match.success:
|
||||
return
|
||||
|
||||
# optional statement with no successful children is empty
|
||||
if match["node"].get("statement", {}).get("type") == "optional" and not any(
|
||||
map(lambda m: m["success"], match["children"])
|
||||
):
|
||||
return
|
||||
if isinstance(match.node, rd.StatementNode) and match.node.statement.type == rd.CompoundStatementType.OPTIONAL:
|
||||
if not any(map(lambda m: m.success, match.children)):
|
||||
return
|
||||
|
||||
# not statement, so invert the child mode to show failed evaluations
|
||||
if match["node"].get("statement", {}).get("type") == "not":
|
||||
if isinstance(match.node, rd.StatementNode) and match.node.statement.type == rd.CompoundStatementType.NOT:
|
||||
child_mode = MODE_FAILURE
|
||||
|
||||
elif mode == MODE_FAILURE:
|
||||
# display only nodes that did not evaluate to True
|
||||
if match["success"]:
|
||||
if match.success:
|
||||
return
|
||||
|
||||
# optional statement with successful children is not relevant
|
||||
if match["node"].get("statement", {}).get("type") == "optional" and any(
|
||||
map(lambda m: m["success"], match["children"])
|
||||
):
|
||||
return
|
||||
if isinstance(match.node, rd.StatementNode) and match.node.statement.type == rd.CompoundStatementType.OPTIONAL:
|
||||
if any(map(lambda m: m.success, match.children)):
|
||||
return
|
||||
|
||||
# not statement, so invert the child mode to show successful evaluations
|
||||
if match["node"].get("statement", {}).get("type") == "not":
|
||||
if isinstance(match.node, rd.StatementNode) and match.node.statement.type == rd.CompoundStatementType.NOT:
|
||||
child_mode = MODE_SUCCESS
|
||||
else:
|
||||
raise RuntimeError("unexpected mode: " + mode)
|
||||
|
||||
render_node(ostream, match, match["node"], indent=indent)
|
||||
render_node(ostream, match, match.node, indent=indent)
|
||||
|
||||
for child in match["children"]:
|
||||
for child in match.children:
|
||||
render_match(ostream, child, indent=indent + 1, mode=child_mode)
|
||||
|
||||
|
||||
def render_rules(ostream, doc):
|
||||
def render_rules(ostream, doc: rd.ResultDocument):
|
||||
"""
|
||||
like:
|
||||
|
||||
## rules
|
||||
check for OutputDebugString error
|
||||
namespace anti-analysis/anti-debugging/debugger-detection
|
||||
author michael.hunhoff@fireeye.com
|
||||
author michael.hunhoff@mandiant.com
|
||||
scope function
|
||||
mbc Anti-Behavioral Analysis::Detect Debugger::OutputDebugString
|
||||
examples Practical Malware Analysis Lab 16-02.exe_:0x401020
|
||||
function @ 0x10004706
|
||||
and:
|
||||
api: kernel32.SetLastError @ 0x100047C2
|
||||
api: kernel32.GetLastError @ 0x10004A87
|
||||
api: kernel32.OutputDebugString @ 0x10004767, 0x10004787, 0x10004816, 0x10004895
|
||||
"""
|
||||
functions_by_bb: Dict[capa.features.address.Address, capa.features.address.Address] = {}
|
||||
for finfo in doc.meta.analysis.layout.functions:
|
||||
faddress = finfo.address.to_capa()
|
||||
|
||||
for bb in finfo.matched_basic_blocks:
|
||||
bbaddress = bb.address.to_capa()
|
||||
functions_by_bb[bbaddress] = faddress
|
||||
|
||||
had_match = False
|
||||
for rule in rutils.capability_rules(doc):
|
||||
count = len(rule["matches"])
|
||||
|
||||
for _, _, rule in sorted(map(lambda rule: (rule.meta.namespace or "", rule.meta.name, rule), doc.rules.values())):
|
||||
# default scope hides things like lib rules, malware-category rules, etc.
|
||||
# but in vverbose mode, we really want to show everything.
|
||||
#
|
||||
# still ignore subscope rules because they're stitched into the final document.
|
||||
if rule.meta.is_subscope_rule:
|
||||
continue
|
||||
|
||||
lib_info = ""
|
||||
count = len(rule.matches)
|
||||
if count == 1:
|
||||
capability = rutils.bold(rule["meta"]["name"])
|
||||
if rule.meta.lib:
|
||||
lib_info = " (library rule)"
|
||||
capability = "%s%s" % (rutils.bold(rule.meta.name), lib_info)
|
||||
else:
|
||||
capability = "%s (%d matches)" % (rutils.bold(rule["meta"]["name"]), count)
|
||||
if rule.meta.lib:
|
||||
lib_info = ", only showing first match of library rule"
|
||||
capability = "%s (%d matches%s)" % (rutils.bold(rule.meta.name), count, lib_info)
|
||||
|
||||
ostream.writeln(capability)
|
||||
had_match = True
|
||||
|
||||
rows = []
|
||||
for key in capa.rules.META_KEYS:
|
||||
if key == "name" or key not in rule["meta"]:
|
||||
continue
|
||||
if not rule.meta.lib:
|
||||
# library rules should not have a namespace
|
||||
rows.append(("namespace", rule.meta.namespace))
|
||||
|
||||
v = rule["meta"][key]
|
||||
if isinstance(v, list) and len(v) == 1:
|
||||
v = v[0]
|
||||
elif isinstance(v, list) and len(v) > 1:
|
||||
v = ", ".join(v)
|
||||
rows.append((key, v))
|
||||
if rule.meta.maec.analysis_conclusion or rule.meta.maec.analysis_conclusion_ov:
|
||||
rows.append(
|
||||
(
|
||||
"maec/analysis-conclusion",
|
||||
rule.meta.maec.analysis_conclusion or rule.meta.maec.analysis_conclusion_ov,
|
||||
)
|
||||
)
|
||||
|
||||
if rule.meta.maec.malware_family:
|
||||
rows.append(("maec/malware-family", rule.meta.maec.malware_family))
|
||||
|
||||
if rule.meta.maec.malware_category or rule.meta.maec.malware_category_ov:
|
||||
rows.append(
|
||||
("maec/malware-category", rule.meta.maec.malware_category or rule.meta.maec.malware_category_ov)
|
||||
)
|
||||
|
||||
rows.append(("author", ", ".join(rule.meta.authors)))
|
||||
|
||||
rows.append(("scope", rule.meta.scope.value))
|
||||
|
||||
if rule.meta.attack:
|
||||
rows.append(("att&ck", ", ".join([rutils.format_parts_id(v) for v in rule.meta.attack])))
|
||||
|
||||
if rule.meta.mbc:
|
||||
rows.append(("mbc", ", ".join([rutils.format_parts_id(v) for v in rule.meta.mbc])))
|
||||
|
||||
if rule.meta.references:
|
||||
rows.append(("references", ", ".join(rule.meta.references)))
|
||||
|
||||
if rule.meta.description:
|
||||
rows.append(("description", rule.meta.description))
|
||||
|
||||
ostream.writeln(tabulate.tabulate(rows, tablefmt="plain"))
|
||||
|
||||
if rule["meta"]["scope"] == capa.rules.FILE_SCOPE:
|
||||
matches = list(doc["rules"][rule["meta"]["name"]]["matches"].values())
|
||||
if rule.meta.scope == capa.rules.FILE_SCOPE:
|
||||
matches = doc.rules[rule.meta.name].matches
|
||||
if len(matches) != 1:
|
||||
# i think there should only ever be one match per file-scope rule,
|
||||
# because we do the file-scope evaluation a single time.
|
||||
# but i'm not 100% sure if this is/will always be true.
|
||||
# so, lets be explicit about our assumptions and raise an exception if they fail.
|
||||
raise RuntimeError("unexpected file scope match count: %d" % (len(matches)))
|
||||
render_match(ostream, matches[0], indent=0)
|
||||
first_address, first_match = matches[0]
|
||||
render_match(ostream, first_match, indent=0)
|
||||
else:
|
||||
for location, match in sorted(doc["rules"][rule["meta"]["name"]]["matches"].items()):
|
||||
ostream.write(rule["meta"]["scope"])
|
||||
for location, match in sorted(doc.rules[rule.meta.name].matches):
|
||||
ostream.write(rule.meta.scope)
|
||||
ostream.write(" @ ")
|
||||
ostream.writeln(rutils.hex(location))
|
||||
ostream.write(capa.render.verbose.format_address(location))
|
||||
|
||||
if rule.meta.scope == capa.rules.BASIC_BLOCK_SCOPE:
|
||||
ostream.write(
|
||||
" in function "
|
||||
+ capa.render.verbose.format_address(frz.Address.from_capa(functions_by_bb[location.to_capa()]))
|
||||
)
|
||||
|
||||
ostream.write("\n")
|
||||
render_match(ostream, match, indent=1)
|
||||
if rule.meta.lib:
|
||||
# only show first match
|
||||
break
|
||||
|
||||
ostream.write("\n")
|
||||
|
||||
if not had_match:
|
||||
ostream.writeln(rutils.bold("no capabilities found"))
|
||||
|
||||
|
||||
def render_vverbose(doc):
|
||||
def render_vverbose(doc: rd.ResultDocument):
|
||||
ostream = rutils.StringIO()
|
||||
|
||||
capa.render.verbose.render_meta(ostream, doc)
|
||||
@@ -229,3 +382,7 @@ def render_vverbose(doc):
|
||||
ostream.write("\n")
|
||||
|
||||
return ostream.getvalue()
|
||||
|
||||
|
||||
def render(meta, rules: RuleSet, capabilities: MatchResults) -> str:
|
||||
return render_vverbose(rd.ResultDocument.from_capa(meta, rules, capabilities))
|
||||
|
||||
848
capa/rules.py
848
capa/rules.py
@@ -1,848 +0,0 @@
|
||||
# Copyright (C) 2020 FireEye, Inc. All Rights Reserved.
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at: [package root]/LICENSE.txt
|
||||
# Unless required by applicable law or agreed to in writing, software distributed under the License
|
||||
# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and limitations under the License.
|
||||
|
||||
import uuid
|
||||
import codecs
|
||||
import logging
|
||||
import binascii
|
||||
import functools
|
||||
|
||||
import six
|
||||
import ruamel.yaml
|
||||
|
||||
import capa.engine
|
||||
import capa.features
|
||||
import capa.features.file
|
||||
import capa.features.insn
|
||||
import capa.features.basicblock
|
||||
from capa.engine import *
|
||||
from capa.features import MAX_BYTES_FEATURE_SIZE
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# these are the standard metadata fields, in the preferred order.
|
||||
# when reformatted, any custom keys will come after these.
|
||||
META_KEYS = (
|
||||
"name",
|
||||
"namespace",
|
||||
"rule-category",
|
||||
"maec/analysis-conclusion",
|
||||
"maec/analysis-conclusion-ov",
|
||||
"maec/malware-category",
|
||||
"maec/malware-category-ov",
|
||||
"author",
|
||||
"description",
|
||||
"lib",
|
||||
"scope",
|
||||
"att&ck",
|
||||
"mbc",
|
||||
"references",
|
||||
"examples",
|
||||
)
|
||||
# these are meta fields that are internal to capa,
|
||||
# and added during rule reading/construction.
|
||||
# they may help use manipulate or index rules,
|
||||
# but should not be exposed to clients.
|
||||
HIDDEN_META_KEYS = ("capa/nursery", "capa/path")
|
||||
|
||||
|
||||
FILE_SCOPE = "file"
|
||||
FUNCTION_SCOPE = "function"
|
||||
BASIC_BLOCK_SCOPE = "basic block"
|
||||
|
||||
|
||||
SUPPORTED_FEATURES = {
|
||||
FILE_SCOPE: {
|
||||
capa.features.MatchedRule,
|
||||
capa.features.file.Export,
|
||||
capa.features.file.Import,
|
||||
capa.features.file.Section,
|
||||
capa.features.Characteristic("embedded pe"),
|
||||
capa.features.String,
|
||||
},
|
||||
FUNCTION_SCOPE: {
|
||||
# plus basic block scope features, see below
|
||||
capa.features.basicblock.BasicBlock,
|
||||
capa.features.Characteristic("calls from"),
|
||||
capa.features.Characteristic("calls to"),
|
||||
capa.features.Characteristic("loop"),
|
||||
capa.features.Characteristic("recursive call"),
|
||||
},
|
||||
BASIC_BLOCK_SCOPE: {
|
||||
capa.features.MatchedRule,
|
||||
capa.features.insn.API,
|
||||
capa.features.insn.Number,
|
||||
capa.features.String,
|
||||
capa.features.Bytes,
|
||||
capa.features.insn.Offset,
|
||||
capa.features.insn.Mnemonic,
|
||||
capa.features.Characteristic("nzxor"),
|
||||
capa.features.Characteristic("peb access"),
|
||||
capa.features.Characteristic("fs access"),
|
||||
capa.features.Characteristic("gs access"),
|
||||
capa.features.Characteristic("cross section flow"),
|
||||
capa.features.Characteristic("tight loop"),
|
||||
capa.features.Characteristic("stack string"),
|
||||
capa.features.Characteristic("indirect call"),
|
||||
},
|
||||
}
|
||||
|
||||
# all basic block scope features are also function scope features
|
||||
SUPPORTED_FEATURES[FUNCTION_SCOPE].update(SUPPORTED_FEATURES[BASIC_BLOCK_SCOPE])
|
||||
|
||||
|
||||
class InvalidRule(ValueError):
|
||||
def __init__(self, msg):
|
||||
super(InvalidRule, self).__init__()
|
||||
self.msg = msg
|
||||
|
||||
def __str__(self):
|
||||
return "invalid rule: %s" % (self.msg)
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
|
||||
class InvalidRuleWithPath(InvalidRule):
|
||||
def __init__(self, path, msg):
|
||||
super(InvalidRuleWithPath, self).__init__(msg)
|
||||
self.path = path
|
||||
self.msg = msg
|
||||
self.__cause__ = None
|
||||
|
||||
def __str__(self):
|
||||
return "invalid rule: %s: %s" % (self.path, self.msg)
|
||||
|
||||
|
||||
class InvalidRuleSet(ValueError):
|
||||
def __init__(self, msg):
|
||||
super(InvalidRuleSet, self).__init__()
|
||||
self.msg = msg
|
||||
|
||||
def __str__(self):
|
||||
return "invalid rule set: %s" % (self.msg)
|
||||
|
||||
def __repr__(self):
|
||||
return str(self)
|
||||
|
||||
|
||||
def ensure_feature_valid_for_scope(scope, feature):
|
||||
if isinstance(feature, capa.features.Characteristic):
|
||||
if capa.features.Characteristic(feature.value) not in SUPPORTED_FEATURES[scope]:
|
||||
raise InvalidRule("feature %s not support for scope %s" % (feature, scope))
|
||||
elif not isinstance(feature, tuple(filter(lambda t: isinstance(t, type), SUPPORTED_FEATURES[scope]))):
|
||||
raise InvalidRule("feature %s not support for scope %s" % (feature, scope))
|
||||
|
||||
|
||||
def parse_int(s):
|
||||
if s.startswith("0x"):
|
||||
return int(s, 0x10)
|
||||
else:
|
||||
return int(s, 10)
|
||||
|
||||
|
||||
def parse_range(s):
|
||||
"""
|
||||
parse a string "(0, 1)" into a range (min, max).
|
||||
min and/or max may by None to indicate an unbound range.
|
||||
"""
|
||||
# we want to use `{` characters, but this is a dict in yaml.
|
||||
if not s.startswith("("):
|
||||
raise InvalidRule("invalid range: %s" % (s))
|
||||
|
||||
if not s.endswith(")"):
|
||||
raise InvalidRule("invalid range: %s" % (s))
|
||||
|
||||
s = s[len("(") : -len(")")]
|
||||
min, _, max = s.partition(",")
|
||||
min = min.strip()
|
||||
max = max.strip()
|
||||
|
||||
if min:
|
||||
min = parse_int(min.strip())
|
||||
if min < 0:
|
||||
raise InvalidRule("range min less than zero")
|
||||
else:
|
||||
min = None
|
||||
|
||||
if max:
|
||||
max = parse_int(max.strip())
|
||||
if max < 0:
|
||||
raise InvalidRule("range max less than zero")
|
||||
else:
|
||||
max = None
|
||||
|
||||
if min is not None and max is not None:
|
||||
if max < min:
|
||||
raise InvalidRule("range max less than min")
|
||||
|
||||
return min, max
|
||||
|
||||
|
||||
def parse_feature(key):
|
||||
# keep this in sync with supported features
|
||||
if key == "api":
|
||||
return capa.features.insn.API
|
||||
elif key == "string":
|
||||
return capa.features.StringFactory
|
||||
elif key == "bytes":
|
||||
return capa.features.Bytes
|
||||
elif key == "number":
|
||||
return capa.features.insn.Number
|
||||
elif key.startswith("number/"):
|
||||
arch = key.partition("/")[2]
|
||||
# the other handlers here return constructors for features,
|
||||
# and we want to as well,
|
||||
# however, we need to preconfigure one of the arguments (`arch`).
|
||||
# so, instead we return a partially-applied function that
|
||||
# provides `arch` to the feature constructor.
|
||||
# it forwards any other arguments provided to the closure along to the constructor.
|
||||
return functools.partial(capa.features.insn.Number, arch=arch)
|
||||
elif key == "offset":
|
||||
return capa.features.insn.Offset
|
||||
elif key.startswith("offset/"):
|
||||
arch = key.partition("/")[2]
|
||||
return functools.partial(capa.features.insn.Offset, arch=arch)
|
||||
elif key == "mnemonic":
|
||||
return capa.features.insn.Mnemonic
|
||||
elif key == "basic blocks":
|
||||
return capa.features.basicblock.BasicBlock
|
||||
elif key == "characteristic":
|
||||
return capa.features.Characteristic
|
||||
elif key == "export":
|
||||
return capa.features.file.Export
|
||||
elif key == "import":
|
||||
return capa.features.file.Import
|
||||
elif key == "section":
|
||||
return capa.features.file.Section
|
||||
elif key == "match":
|
||||
return capa.features.MatchedRule
|
||||
else:
|
||||
raise InvalidRule("unexpected statement: %s" % key)
|
||||
|
||||
|
||||
# this is the separator between a feature value and its description
|
||||
# when using the inline description syntax, like:
|
||||
#
|
||||
# number: 42 = ENUM_FAVORITE_NUMBER
|
||||
DESCRIPTION_SEPARATOR = " = "
|
||||
|
||||
|
||||
def parse_description(s, value_type, description=None):
|
||||
"""
|
||||
s can be an int or a string
|
||||
"""
|
||||
if value_type != "string" and isinstance(s, six.string_types) and DESCRIPTION_SEPARATOR in s:
|
||||
if description:
|
||||
raise InvalidRule(
|
||||
'unexpected value: "%s", only one description allowed (inline description with `%s`)'
|
||||
% (s, DESCRIPTION_SEPARATOR)
|
||||
)
|
||||
value, _, description = s.partition(DESCRIPTION_SEPARATOR)
|
||||
if description == "":
|
||||
raise InvalidRule('unexpected value: "%s", description cannot be empty' % s)
|
||||
else:
|
||||
value = s
|
||||
|
||||
if isinstance(value, six.string_types):
|
||||
if value_type == "bytes":
|
||||
try:
|
||||
value = codecs.decode(value.replace(" ", ""), "hex")
|
||||
# TODO: Remove TypeError when Python2 is not used anymore
|
||||
except (TypeError, binascii.Error):
|
||||
raise InvalidRule('unexpected bytes value: "%s", must be a valid hex sequence' % value)
|
||||
|
||||
if len(value) > MAX_BYTES_FEATURE_SIZE:
|
||||
raise InvalidRule(
|
||||
"unexpected bytes value: byte sequences must be no larger than %s bytes" % MAX_BYTES_FEATURE_SIZE
|
||||
)
|
||||
elif value_type in ("number", "offset") or value_type.startswith(("number/", "offset/")):
|
||||
try:
|
||||
value = parse_int(value)
|
||||
except ValueError:
|
||||
raise InvalidRule('unexpected value: "%s", must begin with numerical value' % value)
|
||||
|
||||
return value, description
|
||||
|
||||
|
||||
def build_statements(d, scope):
|
||||
if len(d.keys()) > 2:
|
||||
raise InvalidRule("too many statements")
|
||||
|
||||
key = list(d.keys())[0]
|
||||
if key == "and":
|
||||
return And([build_statements(dd, scope) for dd in d[key]], description=d.get("description"))
|
||||
elif key == "or":
|
||||
return Or([build_statements(dd, scope) for dd in d[key]], description=d.get("description"))
|
||||
elif key == "not":
|
||||
if len(d[key]) != 1:
|
||||
raise InvalidRule("not statement must have exactly one child statement")
|
||||
return Not(build_statements(d[key][0], scope), description=d.get("description"))
|
||||
elif key.endswith(" or more"):
|
||||
count = int(key[: -len("or more")])
|
||||
return Some(count, [build_statements(dd, scope) for dd in d[key]], description=d.get("description"))
|
||||
elif key == "optional":
|
||||
# `optional` is an alias for `0 or more`
|
||||
# which is useful for documenting behaviors,
|
||||
# like with `write file`, we might say that `WriteFile` is optionally found alongside `CreateFileA`.
|
||||
return Some(0, [build_statements(dd, scope) for dd in d[key]], description=d.get("description"))
|
||||
|
||||
elif key == "function":
|
||||
if scope != FILE_SCOPE:
|
||||
raise InvalidRule("function subscope supported only for file scope")
|
||||
|
||||
if len(d[key]) != 1:
|
||||
raise InvalidRule("subscope must have exactly one child statement")
|
||||
|
||||
return Subscope(FUNCTION_SCOPE, build_statements(d[key][0], FUNCTION_SCOPE))
|
||||
|
||||
elif key == "basic block":
|
||||
if scope != FUNCTION_SCOPE:
|
||||
raise InvalidRule("basic block subscope supported only for function scope")
|
||||
|
||||
if len(d[key]) != 1:
|
||||
raise InvalidRule("subscope must have exactly one child statement")
|
||||
|
||||
return Subscope(BASIC_BLOCK_SCOPE, build_statements(d[key][0], BASIC_BLOCK_SCOPE))
|
||||
|
||||
elif key.startswith("count(") and key.endswith(")"):
|
||||
# e.g.:
|
||||
#
|
||||
# count(basic block)
|
||||
# count(mnemonic(mov))
|
||||
# count(characteristic(nzxor))
|
||||
|
||||
term = key[len("count(") : -len(")")]
|
||||
|
||||
# when looking for the existence of such a feature, our rule might look like:
|
||||
# - mnemonic: mov
|
||||
#
|
||||
# but here we deal with the form: `mnemonic(mov)`.
|
||||
term, _, arg = term.partition("(")
|
||||
Feature = parse_feature(term)
|
||||
|
||||
if arg:
|
||||
arg = arg[: -len(")")]
|
||||
# can't rely on yaml parsing ints embedded within strings
|
||||
# like:
|
||||
#
|
||||
# count(offset(0xC))
|
||||
# count(number(0x11223344))
|
||||
# count(number(0x100 = description))
|
||||
if term != "string":
|
||||
value, description = parse_description(arg, term)
|
||||
feature = Feature(value, description=description)
|
||||
else:
|
||||
# arg is string (which doesn't support inline descriptions), like:
|
||||
#
|
||||
# count(string(error))
|
||||
# TODO: what about embedded newlines?
|
||||
feature = Feature(arg)
|
||||
else:
|
||||
feature = Feature()
|
||||
ensure_feature_valid_for_scope(scope, feature)
|
||||
|
||||
count = d[key]
|
||||
if isinstance(count, int):
|
||||
return Range(feature, min=count, max=count, description=d.get("description"))
|
||||
elif count.endswith(" or more"):
|
||||
min = parse_int(count[: -len(" or more")])
|
||||
max = None
|
||||
return Range(feature, min=min, max=max, description=d.get("description"))
|
||||
elif count.endswith(" or fewer"):
|
||||
min = None
|
||||
max = parse_int(count[: -len(" or fewer")])
|
||||
return Range(feature, min=min, max=max, description=d.get("description"))
|
||||
elif count.startswith("("):
|
||||
min, max = parse_range(count)
|
||||
return Range(feature, min=min, max=max, description=d.get("description"))
|
||||
else:
|
||||
raise InvalidRule("unexpected range: %s" % (count))
|
||||
elif key == "string" and not isinstance(d[key], six.string_types):
|
||||
raise InvalidRule("ambiguous string value %s, must be defined as explicit string" % d[key])
|
||||
else:
|
||||
Feature = parse_feature(key)
|
||||
value, description = parse_description(d[key], key, d.get("description"))
|
||||
try:
|
||||
feature = Feature(value, description=description)
|
||||
except ValueError as e:
|
||||
raise InvalidRule(str(e))
|
||||
ensure_feature_valid_for_scope(scope, feature)
|
||||
return feature
|
||||
|
||||
|
||||
def first(s):
|
||||
return s[0]
|
||||
|
||||
|
||||
def second(s):
|
||||
return s[1]
|
||||
|
||||
|
||||
# we use the ruamel.yaml parser because it supports roundtripping of documents with comments.
|
||||
yaml = ruamel.yaml.YAML(typ="rt")
|
||||
|
||||
|
||||
# use block mode, not inline json-like mode
|
||||
yaml.default_flow_style = False
|
||||
|
||||
|
||||
# indent lists by two spaces below their parent
|
||||
#
|
||||
# features:
|
||||
# - or:
|
||||
# - mnemonic: aesdec
|
||||
# - mnemonic: vaesdec
|
||||
yaml.indent(sequence=2, offset=2)
|
||||
|
||||
# avoid word wrapping
|
||||
yaml.width = 4096
|
||||
|
||||
|
||||
class Rule(object):
|
||||
def __init__(self, name, scope, statement, meta, definition=""):
|
||||
super(Rule, self).__init__()
|
||||
self.name = name
|
||||
self.scope = scope
|
||||
self.statement = statement
|
||||
self.meta = meta
|
||||
self.definition = definition
|
||||
|
||||
def __str__(self):
|
||||
return "Rule(name=%s)" % (self.name)
|
||||
|
||||
def __repr__(self):
|
||||
return "Rule(scope=%s, name=%s)" % (self.scope, self.name)
|
||||
|
||||
def get_dependencies(self, namespaces):
|
||||
"""
|
||||
fetch the names of rules this rule relies upon.
|
||||
these are only the direct dependencies; a user must
|
||||
compute the transitive dependency graph themself, if they want it.
|
||||
|
||||
Args:
|
||||
namespaces(Dict[str, List[Rule]]): mapping from namespace name to rules in it.
|
||||
see `index_rules_by_namespace`.
|
||||
|
||||
Returns:
|
||||
List[str]: names of rules upon which this rule depends.
|
||||
"""
|
||||
deps = set([])
|
||||
|
||||
def rec(statement):
|
||||
if isinstance(statement, capa.features.MatchedRule):
|
||||
# we're not sure at this point if the `statement.value` is
|
||||
# really a rule name or a namespace name (we use `MatchedRule` for both cases).
|
||||
# we'll give precedence to namespaces, and then assume if that does work,
|
||||
# that it must be a rule name.
|
||||
#
|
||||
# we don't expect any collisions between namespaces and rule names, but its possible.
|
||||
# most likely would be collision between top level namespace (e.g. `host-interaction`) and rule name.
|
||||
# but, namespaces tend to use `-` while rule names use ` `. so, unlikely, but possible.
|
||||
if statement.value in namespaces:
|
||||
# matches a namespace, so take precedence and don't even check rule names.
|
||||
deps.update(map(lambda r: r.name, namespaces[statement.value]))
|
||||
else:
|
||||
# not a namespace, assume its a rule name.
|
||||
deps.add(statement.value)
|
||||
|
||||
elif isinstance(statement, Statement):
|
||||
for child in statement.get_children():
|
||||
rec(child)
|
||||
|
||||
# else: might be a Feature, etc.
|
||||
# which we don't care about here.
|
||||
|
||||
rec(self.statement)
|
||||
return deps
|
||||
|
||||
def _extract_subscope_rules_rec(self, statement):
|
||||
if isinstance(statement, Statement):
|
||||
# for each child that is a subscope,
|
||||
for subscope in filter(
|
||||
lambda statement: isinstance(statement, capa.engine.Subscope), statement.get_children()
|
||||
):
|
||||
|
||||
# create a new rule from it.
|
||||
# the name is a randomly generated, hopefully unique value.
|
||||
# ideally, this won't every be rendered to a user.
|
||||
name = self.name + "/" + uuid.uuid4().hex
|
||||
new_rule = Rule(
|
||||
name,
|
||||
subscope.scope,
|
||||
subscope.child,
|
||||
{
|
||||
"name": name,
|
||||
"scope": subscope.scope,
|
||||
# these derived rules are never meant to be inspected separately,
|
||||
# they are dependencies for the parent rule,
|
||||
# so mark it as such.
|
||||
"lib": True,
|
||||
# metadata that indicates this is derived from a subscope statement
|
||||
"capa/subscope-rule": True,
|
||||
# metadata that links the child rule the parent rule
|
||||
"capa/parent": self.name,
|
||||
},
|
||||
)
|
||||
|
||||
# update the existing statement to `match` the new rule
|
||||
new_node = capa.features.MatchedRule(name)
|
||||
statement.replace_child(subscope, new_node)
|
||||
|
||||
# and yield the new rule to our caller
|
||||
yield new_rule
|
||||
|
||||
# now recurse to other nodes in the logic tree.
|
||||
# note: we cannot recurse into the subscope sub-tree,
|
||||
# because its been replaced by a `match` statement.
|
||||
for child in statement.get_children():
|
||||
for new_rule in self._extract_subscope_rules_rec(child):
|
||||
yield new_rule
|
||||
|
||||
def extract_subscope_rules(self):
|
||||
"""
|
||||
scan through the statements of this rule,
|
||||
replacing subscope statements with `match` references to a newly created rule,
|
||||
which are yielded from this routine.
|
||||
|
||||
note: this mutates the current rule.
|
||||
|
||||
example::
|
||||
|
||||
for derived_rule in rule.extract_subscope_rules():
|
||||
assert derived_rule.meta['capa/parent'] == rule.name
|
||||
"""
|
||||
|
||||
# recurse through statements
|
||||
# when encounter Subscope statement
|
||||
# create new transient rule
|
||||
# copy logic into the new rule
|
||||
# replace old node with reference to new rule
|
||||
# yield new rule
|
||||
|
||||
for new_rule in self._extract_subscope_rules_rec(self.statement):
|
||||
yield new_rule
|
||||
|
||||
def evaluate(self, features):
|
||||
return self.statement.evaluate(features)
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, d, s):
|
||||
name = d["rule"]["meta"]["name"]
|
||||
# if scope is not specified, default to function scope.
|
||||
# this is probably the mode that rule authors will start with.
|
||||
scope = d["rule"]["meta"].get("scope", FUNCTION_SCOPE)
|
||||
statements = d["rule"]["features"]
|
||||
|
||||
# the rule must start with a single logic node.
|
||||
# doing anything else is too implicit and difficult to remove (AND vs OR ???).
|
||||
if len(statements) != 1:
|
||||
raise InvalidRule("rule must begin with a single top level statement")
|
||||
|
||||
if isinstance(statements[0], capa.engine.Subscope):
|
||||
raise InvalidRule("top level statement may not be a subscope")
|
||||
|
||||
if scope not in SUPPORTED_FEATURES.keys():
|
||||
raise InvalidRule("{:s} is not a supported scope".format(scope))
|
||||
|
||||
return cls(name, scope, build_statements(statements[0], scope), d["rule"]["meta"], s)
|
||||
|
||||
@classmethod
|
||||
def from_yaml(cls, s):
|
||||
return cls.from_dict(yaml.load(s), s)
|
||||
|
||||
@classmethod
|
||||
def from_yaml_file(cls, path):
|
||||
with open(path, "rb") as f:
|
||||
try:
|
||||
return cls.from_yaml(f.read().decode("utf-8"))
|
||||
except InvalidRule as e:
|
||||
raise InvalidRuleWithPath(path, str(e))
|
||||
|
||||
def to_yaml(self):
|
||||
# reformat the yaml document with a common style.
|
||||
# this includes:
|
||||
# - ordering the meta elements
|
||||
# - indenting the nested items with two spaces
|
||||
#
|
||||
# updates to the rule will be synced for meta fields,
|
||||
# but not for rule logic.
|
||||
# programmatic generation of rules is not yet supported.
|
||||
|
||||
definition = yaml.load(self.definition)
|
||||
# definition retains a reference to `meta`,
|
||||
# so we're updating that in place.
|
||||
definition["rule"]["meta"] = self.meta
|
||||
meta = self.meta
|
||||
|
||||
meta["name"] = self.name
|
||||
meta["scope"] = self.scope
|
||||
|
||||
def move_to_end(m, k):
|
||||
# ruamel.yaml uses an ordereddict-like structure to track maps (CommentedMap).
|
||||
# here we refresh the insertion order of the given key.
|
||||
# this will move it to the end of the sequence.
|
||||
v = m[k]
|
||||
del m[k]
|
||||
m[k] = v
|
||||
|
||||
move_to_end(definition["rule"], "meta")
|
||||
move_to_end(definition["rule"], "features")
|
||||
|
||||
for key in META_KEYS:
|
||||
if key in meta:
|
||||
move_to_end(meta, key)
|
||||
|
||||
for key in sorted(meta.keys()):
|
||||
if key in META_KEYS:
|
||||
continue
|
||||
move_to_end(meta, key)
|
||||
|
||||
# save off the existing hidden meta values,
|
||||
# emit the document,
|
||||
# and re-add the hidden meta.
|
||||
hidden_meta = {}
|
||||
for key in HIDDEN_META_KEYS:
|
||||
value = meta.get(key)
|
||||
if value:
|
||||
hidden_meta[key] = value
|
||||
|
||||
for key in hidden_meta.keys():
|
||||
del meta[key]
|
||||
|
||||
ostream = six.BytesIO()
|
||||
yaml.dump(definition, ostream)
|
||||
|
||||
for key, value in hidden_meta.items():
|
||||
if value is None:
|
||||
continue
|
||||
meta[key] = value
|
||||
|
||||
doc = ostream.getvalue().decode("utf-8").rstrip("\n") + "\n"
|
||||
# when we have something like:
|
||||
#
|
||||
# and:
|
||||
# - string: foo
|
||||
# description: bar
|
||||
#
|
||||
# we want the `description` horizontally aligned with the start of the `string` (like above).
|
||||
# however, ruamel will give us (which I don't think is even valid yaml):
|
||||
#
|
||||
# and:
|
||||
# - string: foo
|
||||
# description: bar
|
||||
#
|
||||
# tweaking `ruamel.indent()` doesn't quite give us the control we want.
|
||||
# so, add the two extra spaces that we've determined we need through experimentation.
|
||||
# see #263
|
||||
doc = doc.replace(" description:", " description:")
|
||||
return doc
|
||||
|
||||
|
||||
def get_rules_with_scope(rules, scope):
|
||||
"""
|
||||
from the given collection of rules, select those with the given scope.
|
||||
|
||||
args:
|
||||
rules (List[capa.rules.Rule]):
|
||||
scope (str): one of the capa.rules.*_SCOPE constants.
|
||||
|
||||
returns:
|
||||
List[capa.rules.Rule]:
|
||||
"""
|
||||
return list(rule for rule in rules if rule.scope == scope)
|
||||
|
||||
|
||||
def get_rules_and_dependencies(rules, rule_name):
|
||||
"""
|
||||
from the given collection of rules, select a rule and its dependencies (transitively).
|
||||
|
||||
args:
|
||||
rules (List[Rule]):
|
||||
rule_name (str):
|
||||
|
||||
yields:
|
||||
Rule:
|
||||
"""
|
||||
# we evaluate `rules` multiple times, so if its a generator, realize it into a list.
|
||||
rules = list(rules)
|
||||
namespaces = index_rules_by_namespace(rules)
|
||||
rules = {rule.name: rule for rule in rules}
|
||||
wanted = set([rule_name])
|
||||
|
||||
def rec(rule):
|
||||
wanted.add(rule.name)
|
||||
for dep in rule.get_dependencies(namespaces):
|
||||
rec(rules[dep])
|
||||
|
||||
rec(rules[rule_name])
|
||||
|
||||
for rule in rules.values():
|
||||
if rule.name in wanted:
|
||||
yield rule
|
||||
|
||||
|
||||
def ensure_rules_are_unique(rules):
|
||||
seen = set([])
|
||||
for rule in rules:
|
||||
if rule.name in seen:
|
||||
raise InvalidRule("duplicate rule name: " + rule.name)
|
||||
seen.add(rule.name)
|
||||
|
||||
|
||||
def ensure_rule_dependencies_are_met(rules):
|
||||
"""
|
||||
raise an exception if a rule dependency does not exist.
|
||||
|
||||
raises:
|
||||
InvalidRule: if a dependency is not met.
|
||||
"""
|
||||
# we evaluate `rules` multiple times, so if its a generator, realize it into a list.
|
||||
rules = list(rules)
|
||||
namespaces = index_rules_by_namespace(rules)
|
||||
rules = {rule.name: rule for rule in rules}
|
||||
for rule in rules.values():
|
||||
for dep in rule.get_dependencies(namespaces):
|
||||
if dep not in rules:
|
||||
raise InvalidRule('rule "%s" depends on missing rule "%s"' % (rule.name, dep))
|
||||
|
||||
|
||||
def index_rules_by_namespace(rules):
|
||||
"""
|
||||
compute the rules that fit into each namespace found within the given rules.
|
||||
|
||||
for example, given:
|
||||
|
||||
- c2/shell :: create reverse shell
|
||||
- c2/file-transfer :: download and write a file
|
||||
|
||||
return the index:
|
||||
|
||||
c2/shell: [create reverse shell]
|
||||
c2/file-transfer: [download and write a file]
|
||||
c2: [create reverse shell, download and write a file]
|
||||
|
||||
Args:
|
||||
rules (List[Rule]):
|
||||
|
||||
Returns: Dict[str, List[Rule]]
|
||||
"""
|
||||
namespaces = collections.defaultdict(list)
|
||||
|
||||
for rule in rules:
|
||||
namespace = rule.meta.get("namespace")
|
||||
if not namespace:
|
||||
continue
|
||||
|
||||
while namespace:
|
||||
namespaces[namespace].append(rule)
|
||||
namespace, _, _ = namespace.rpartition("/")
|
||||
|
||||
return dict(namespaces)
|
||||
|
||||
|
||||
class RuleSet(object):
|
||||
"""
|
||||
a ruleset is initialized with a collection of rules, which it verifies and sorts into scopes.
|
||||
each set of scoped rules is sorted topologically, which enables rules to match on past rule matches.
|
||||
|
||||
example:
|
||||
|
||||
ruleset = RuleSet([
|
||||
Rule(...),
|
||||
Rule(...),
|
||||
...
|
||||
])
|
||||
capa.engine.match(ruleset.file_rules, ...)
|
||||
"""
|
||||
|
||||
def __init__(self, rules):
|
||||
super(RuleSet, self).__init__()
|
||||
|
||||
ensure_rules_are_unique(rules)
|
||||
|
||||
rules = self._extract_subscope_rules(rules)
|
||||
|
||||
ensure_rule_dependencies_are_met(rules)
|
||||
|
||||
if len(rules) == 0:
|
||||
raise InvalidRuleSet("no rules selected")
|
||||
|
||||
self.file_rules = self._get_rules_for_scope(rules, FILE_SCOPE)
|
||||
self.function_rules = self._get_rules_for_scope(rules, FUNCTION_SCOPE)
|
||||
self.basic_block_rules = self._get_rules_for_scope(rules, BASIC_BLOCK_SCOPE)
|
||||
self.rules = {rule.name: rule for rule in rules}
|
||||
|
||||
def __len__(self):
|
||||
return len(self.rules)
|
||||
|
||||
def __getitem__(self, rulename):
|
||||
return self.rules[rulename]
|
||||
|
||||
@staticmethod
|
||||
def _get_rules_for_scope(rules, scope):
|
||||
"""
|
||||
given a collection of rules, collect the rules that are needed at the given scope.
|
||||
these rules are ordered topologically.
|
||||
|
||||
don't include "lib" rules, unless they are dependencies of other rules.
|
||||
"""
|
||||
scope_rules = set([])
|
||||
|
||||
# we need to process all rules, not just rules with the given scope.
|
||||
# this is because rules with a higher scope, e.g. file scope, may have subscope rules
|
||||
# at lower scope, e.g. function scope.
|
||||
# so, we find all dependencies of all rules, and later will filter them down.
|
||||
for rule in rules:
|
||||
if rule.meta.get("lib", False):
|
||||
continue
|
||||
|
||||
scope_rules.update(get_rules_and_dependencies(rules, rule.name))
|
||||
return get_rules_with_scope(capa.engine.topologically_order_rules(scope_rules), scope)
|
||||
|
||||
@staticmethod
|
||||
def _extract_subscope_rules(rules):
|
||||
"""
|
||||
process the given sequence of rules.
|
||||
for each one, extract any embedded subscope rules into their own rule.
|
||||
process these recursively.
|
||||
then return a list of the refactored rules.
|
||||
|
||||
note: this operation mutates the rules passed in - they may now have `match` statements
|
||||
for the extracted subscope rules.
|
||||
"""
|
||||
done = []
|
||||
|
||||
# use a queue of rules, because we'll be modifying the list (appending new items) as we go.
|
||||
while rules:
|
||||
rule = rules.pop(0)
|
||||
for subscope_rule in rule.extract_subscope_rules():
|
||||
rules.append(subscope_rule)
|
||||
done.append(rule)
|
||||
|
||||
return done
|
||||
|
||||
def filter_rules_by_meta(self, tag):
|
||||
"""
|
||||
return new rule set with rules filtered based on all meta field values, adds all dependency rules
|
||||
apply tag-based rule filter assuming that all required rules are loaded
|
||||
can be used to specify selected rules vs. providing a rules child directory where capa cannot resolve
|
||||
dependencies from unknown paths
|
||||
TODO handle circular dependencies?
|
||||
TODO support -t=metafield <k>
|
||||
"""
|
||||
rules = self.rules.values()
|
||||
rules_filtered = set([])
|
||||
for rule in rules:
|
||||
for k, v in rule.meta.items():
|
||||
if isinstance(v, six.string_types) and tag in v:
|
||||
logger.debug('using rule "%s" and dependencies, found tag in meta.%s: %s', rule.name, k, v)
|
||||
rules_filtered.update(set(capa.rules.get_rules_and_dependencies(rules, rule.name)))
|
||||
break
|
||||
return RuleSet(list(rules_filtered))
|
||||
1412
capa/rules/__init__.py
Normal file
1412
capa/rules/__init__.py
Normal file
File diff suppressed because it is too large
Load Diff
155
capa/rules/cache.py
Normal file
155
capa/rules/cache.py
Normal file
@@ -0,0 +1,155 @@
|
||||
import sys
|
||||
import zlib
|
||||
import pickle
|
||||
import hashlib
|
||||
import logging
|
||||
import os.path
|
||||
from typing import List, Optional
|
||||
from dataclasses import dataclass
|
||||
|
||||
import capa.rules
|
||||
import capa.helpers
|
||||
import capa.version
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
# TypeAlias. note: using `foo: TypeAlias = bar` is Python 3.10+
|
||||
CacheIdentifier = str
|
||||
|
||||
|
||||
def compute_cache_identifier(rule_content: List[bytes]) -> CacheIdentifier:
|
||||
hash = hashlib.sha256()
|
||||
|
||||
# note that this changes with each release,
|
||||
# so cache identifiers will never collide across releases.
|
||||
version = capa.version.__version__
|
||||
|
||||
hash.update(version.encode("utf-8"))
|
||||
hash.update(b"\x00")
|
||||
|
||||
rule_hashes = list(sorted([hashlib.sha256(buf).hexdigest() for buf in rule_content]))
|
||||
for rule_hash in rule_hashes:
|
||||
hash.update(rule_hash.encode("ascii"))
|
||||
hash.update(b"\x00")
|
||||
|
||||
return hash.hexdigest()
|
||||
|
||||
|
||||
def get_default_cache_directory() -> str:
|
||||
# ref: https://github.com/mandiant/capa/issues/1212#issuecomment-1361259813
|
||||
#
|
||||
# Linux: $XDG_CACHE_HOME/capa/
|
||||
# Windows: %LOCALAPPDATA%\flare\capa\cache
|
||||
# MacOS: ~/Library/Caches/capa
|
||||
|
||||
# ref: https://stackoverflow.com/a/8220141/87207
|
||||
if sys.platform == "linux" or sys.platform == "linux2":
|
||||
directory = os.environ.get("XDG_CACHE_HOME", os.path.join(os.environ["HOME"], ".cache", "capa"))
|
||||
elif sys.platform == "darwin":
|
||||
directory = os.path.join(os.environ["HOME"], "Library", "Caches", "capa")
|
||||
elif sys.platform == "win32":
|
||||
directory = os.path.join(os.environ["LOCALAPPDATA"], "flare", "capa", "cache")
|
||||
else:
|
||||
raise NotImplementedError(f"unsupported platform: {sys.platform}")
|
||||
|
||||
os.makedirs(directory, exist_ok=True)
|
||||
|
||||
return directory
|
||||
|
||||
|
||||
def get_cache_path(cache_dir: str, id: CacheIdentifier) -> str:
|
||||
filename = "capa-" + id[:8] + ".cache"
|
||||
return os.path.join(cache_dir, filename)
|
||||
|
||||
|
||||
MAGIC = b"capa"
|
||||
VERSION = b"\x00\x00\x00\x01"
|
||||
|
||||
|
||||
@dataclass
|
||||
class RuleCache:
|
||||
id: CacheIdentifier
|
||||
ruleset: capa.rules.RuleSet
|
||||
|
||||
def dump(self):
|
||||
return MAGIC + VERSION + self.id.encode("ascii") + zlib.compress(pickle.dumps(self))
|
||||
|
||||
@staticmethod
|
||||
def load(data):
|
||||
assert data.startswith(MAGIC + VERSION)
|
||||
|
||||
id = data[0x8:0x48].decode("ascii")
|
||||
cache = pickle.loads(zlib.decompress(data[0x48:]))
|
||||
|
||||
assert isinstance(cache, RuleCache)
|
||||
assert cache.id == id
|
||||
|
||||
return cache
|
||||
|
||||
|
||||
def get_ruleset_content(ruleset: capa.rules.RuleSet) -> List[bytes]:
|
||||
rule_contents = []
|
||||
for rule in ruleset.rules.values():
|
||||
if rule.is_subscope_rule():
|
||||
continue
|
||||
rule_contents.append(rule.definition.encode("utf-8"))
|
||||
return rule_contents
|
||||
|
||||
|
||||
def compute_ruleset_cache_identifier(ruleset: capa.rules.RuleSet) -> CacheIdentifier:
|
||||
rule_contents = get_ruleset_content(ruleset)
|
||||
return compute_cache_identifier(rule_contents)
|
||||
|
||||
|
||||
def cache_ruleset(cache_dir: str, ruleset: capa.rules.RuleSet):
|
||||
"""
|
||||
cache the given ruleset to disk, using the given cache directory.
|
||||
this can subsequently be reloaded via `load_cached_ruleset`,
|
||||
assuming the capa version and rule content does not change.
|
||||
|
||||
callers should use this function to avoid the performance overhead
|
||||
of validating rules on each run.
|
||||
"""
|
||||
id = compute_ruleset_cache_identifier(ruleset)
|
||||
path = get_cache_path(cache_dir, id)
|
||||
if os.path.exists(path):
|
||||
logger.debug("rule set already cached to %s", path)
|
||||
return
|
||||
|
||||
cache = RuleCache(id, ruleset)
|
||||
with open(path, "wb") as f:
|
||||
f.write(cache.dump())
|
||||
|
||||
logger.debug("rule set cached to %s", path)
|
||||
return
|
||||
|
||||
|
||||
def load_cached_ruleset(cache_dir: str, rule_contents: List[bytes]) -> Optional[capa.rules.RuleSet]:
|
||||
"""
|
||||
load a cached ruleset from disk, using the given cache directory.
|
||||
the raw rule contents are required here to prove that the rules haven't changed
|
||||
and to avoid stale cache entries.
|
||||
|
||||
callers should use this function to avoid the performance overhead
|
||||
of validating rules on each run.
|
||||
"""
|
||||
id = compute_cache_identifier(rule_contents)
|
||||
path = get_cache_path(cache_dir, id)
|
||||
if not os.path.exists(path):
|
||||
logger.debug("rule set cache does not exist: %s", path)
|
||||
return None
|
||||
|
||||
logger.debug("loading rule set from cache: %s", path)
|
||||
with open(path, "rb") as f:
|
||||
buf = f.read()
|
||||
|
||||
try:
|
||||
cache = RuleCache.load(buf)
|
||||
except AssertionError:
|
||||
logger.debug("rule set cache is invalid: %s", path)
|
||||
# delete the cache that seems to be invalid.
|
||||
os.remove(path)
|
||||
return None
|
||||
else:
|
||||
return cache.ruleset
|
||||
@@ -1 +1,5 @@
|
||||
__version__ = "1.3.0"
|
||||
__version__ = "5.0.0"
|
||||
|
||||
|
||||
def get_major_version():
|
||||
return int(__version__.partition(".")[0])
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user