mirror of
https://github.com/mandiant/capa.git
synced 2025-12-22 23:26:21 -08:00
bump pydantic to 2.1.1
This commit is contained in:
@@ -3,7 +3,8 @@
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## master (unreleased)
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### New Features
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- ELF: implement file import and export name extractor #1607 @Aayush-Goel-04
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- ELF: implement file import and export name extractor #1607 #1608 @Aayush-Goel-04
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- bump pydantic from 1.10.9 to 2.1.1 #1582 @Aayush-Goel-04
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### Breaking Changes
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@@ -136,8 +136,8 @@ class Feature(abc.ABC): # noqa: B024
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import capa.features.freeze.features
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return (
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capa.features.freeze.features.feature_from_capa(self).json()
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< capa.features.freeze.features.feature_from_capa(other).json()
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capa.features.freeze.features.feature_from_capa(self).model_dump_json()
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< capa.features.freeze.features.feature_from_capa(other).model_dump_json()
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)
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def get_name_str(self) -> str:
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@@ -14,7 +14,7 @@ import logging
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from enum import Enum
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from typing import List, Tuple, Union
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from pydantic import Field, BaseModel
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from pydantic import Field, BaseModel, ConfigDict
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import capa.helpers
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import capa.version
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@@ -31,8 +31,7 @@ logger = logging.getLogger(__name__)
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class HashableModel(BaseModel):
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class Config:
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frozen = True
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model_config = ConfigDict(frozen=True)
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class AddressType(str, Enum):
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@@ -46,7 +45,7 @@ class AddressType(str, Enum):
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class Address(HashableModel):
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type: AddressType
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value: Union[int, Tuple[int, int], None]
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value: Union[int, Tuple[int, int], None] = None
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@classmethod
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def from_capa(cls, a: capa.features.address.Address) -> "Address":
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@@ -159,9 +158,7 @@ class BasicBlockFeature(HashableModel):
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basic_block: Address = Field(alias="basic block")
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address: Address
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feature: Feature
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(populate_by_name=True)
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class InstructionFeature(HashableModel):
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@@ -194,26 +191,20 @@ class FunctionFeatures(BaseModel):
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address: Address
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features: Tuple[FunctionFeature, ...]
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basic_blocks: Tuple[BasicBlockFeatures, ...] = Field(alias="basic blocks")
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(populate_by_name=True)
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class Features(BaseModel):
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global_: Tuple[GlobalFeature, ...] = Field(alias="global")
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file: Tuple[FileFeature, ...]
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functions: Tuple[FunctionFeatures, ...]
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(populate_by_name=True)
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class Extractor(BaseModel):
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name: str
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version: str = capa.version.__version__
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(populate_by_name=True)
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class Freeze(BaseModel):
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@@ -221,9 +212,7 @@ class Freeze(BaseModel):
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base_address: Address = Field(alias="base address")
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extractor: Extractor
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features: Features
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class Config:
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allow_population_by_field_name = True
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model_config = ConfigDict(populate_by_name=True)
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def dumps(extractor: capa.features.extractors.base_extractor.FeatureExtractor) -> str:
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@@ -324,7 +313,7 @@ def dumps(extractor: capa.features.extractors.base_extractor.FeatureExtractor) -
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) # type: ignore
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# Mypy is unable to recognise `base_address` as a argument due to alias
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return freeze.json()
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return freeze.model_dump_json()
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def loads(s: str) -> capa.features.extractors.base_extractor.FeatureExtractor:
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@@ -8,7 +8,7 @@
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import binascii
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from typing import Union, Optional
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from pydantic import Field, BaseModel
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from pydantic import Field, BaseModel, ConfigDict
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import capa.features.file
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import capa.features.insn
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@@ -17,9 +17,7 @@ import capa.features.basicblock
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class FeatureModel(BaseModel):
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class Config:
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frozen = True
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allow_population_by_field_name = True
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model_config = ConfigDict(frozen=True, populate_by_name=True)
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def to_capa(self) -> capa.features.common.Feature:
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if isinstance(self, OSFeature):
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@@ -213,141 +211,141 @@ def feature_from_capa(f: capa.features.common.Feature) -> "Feature":
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class OSFeature(FeatureModel):
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type: str = "os"
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os: str
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description: Optional[str]
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description: Optional[str] = None
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class ArchFeature(FeatureModel):
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type: str = "arch"
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arch: str
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description: Optional[str]
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description: Optional[str] = None
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class FormatFeature(FeatureModel):
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type: str = "format"
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format: str
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description: Optional[str]
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description: Optional[str] = None
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class MatchFeature(FeatureModel):
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type: str = "match"
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match: str
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description: Optional[str]
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description: Optional[str] = None
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class CharacteristicFeature(FeatureModel):
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type: str = "characteristic"
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characteristic: str
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description: Optional[str]
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description: Optional[str] = None
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class ExportFeature(FeatureModel):
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type: str = "export"
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export: str
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description: Optional[str]
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description: Optional[str] = None
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class ImportFeature(FeatureModel):
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type: str = "import"
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import_: str = Field(alias="import")
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description: Optional[str]
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description: Optional[str] = None
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class SectionFeature(FeatureModel):
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type: str = "section"
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section: str
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description: Optional[str]
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description: Optional[str] = None
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class FunctionNameFeature(FeatureModel):
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type: str = "function name"
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function_name: str = Field(alias="function name")
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description: Optional[str]
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description: Optional[str] = None
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class SubstringFeature(FeatureModel):
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type: str = "substring"
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substring: str
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description: Optional[str]
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description: Optional[str] = None
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class RegexFeature(FeatureModel):
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type: str = "regex"
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regex: str
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description: Optional[str]
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description: Optional[str] = None
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class StringFeature(FeatureModel):
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type: str = "string"
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string: str
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description: Optional[str]
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description: Optional[str] = None
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class ClassFeature(FeatureModel):
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type: str = "class"
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class_: str = Field(alias="class")
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description: Optional[str]
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description: Optional[str] = None
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class NamespaceFeature(FeatureModel):
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type: str = "namespace"
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namespace: str
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description: Optional[str]
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description: Optional[str] = None
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class BasicBlockFeature(FeatureModel):
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type: str = "basic block"
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description: Optional[str]
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description: Optional[str] = None
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class APIFeature(FeatureModel):
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type: str = "api"
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api: str
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description: Optional[str]
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description: Optional[str] = None
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class PropertyFeature(FeatureModel):
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type: str = "property"
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access: Optional[str]
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access: Optional[str] = None
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property: str
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description: Optional[str]
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description: Optional[str] = None
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class NumberFeature(FeatureModel):
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type: str = "number"
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number: Union[int, float]
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description: Optional[str]
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description: Optional[str] = None
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class BytesFeature(FeatureModel):
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type: str = "bytes"
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bytes: str
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description: Optional[str]
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description: Optional[str] = None
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class OffsetFeature(FeatureModel):
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type: str = "offset"
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offset: int
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description: Optional[str]
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description: Optional[str] = None
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class MnemonicFeature(FeatureModel):
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type: str = "mnemonic"
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mnemonic: str
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description: Optional[str]
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description: Optional[str] = None
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class OperandNumberFeature(FeatureModel):
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type: str = "operand number"
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index: int
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operand_number: int = Field(alias="operand number")
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description: Optional[str]
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description: Optional[str] = None
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class OperandOffsetFeature(FeatureModel):
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type: str = "operand offset"
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index: int
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operand_offset: int = Field(alias="operand offset")
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description: Optional[str]
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description: Optional[str] = None
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Feature = Union[
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@@ -1304,7 +1304,7 @@ class CapaExplorerForm(idaapi.PluginForm):
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idaapi.info("No program analysis to save.")
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return
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s = self.resdoc_cache.json().encode("utf-8")
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s = self.resdoc_cache.model_dump_json().encode("utf-8")
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path = Path(self.ask_user_capa_json_file())
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if not path.exists():
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@@ -11,4 +11,4 @@ from capa.engine import MatchResults
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def render(meta, rules: RuleSet, capabilities: MatchResults) -> str:
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return rd.ResultDocument.from_capa(meta, rules, capabilities).json(exclude_none=True)
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return rd.ResultDocument.from_capa(meta, rules, capabilities).model_dump_json(exclude_none=True)
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@@ -9,7 +9,7 @@ import datetime
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import collections
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from typing import Dict, List, Tuple, Union, Optional
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from pydantic import Field, BaseModel
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from pydantic import Field, BaseModel, ConfigDict
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import capa.rules
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import capa.engine
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@@ -23,14 +23,11 @@ from capa.helpers import assert_never
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class FrozenModel(BaseModel):
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class Config:
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frozen = True
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extra = "forbid"
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model_config = ConfigDict(frozen=True, extra="forbid")
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class Model(BaseModel):
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class Config:
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extra = "forbid"
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model_config = ConfigDict(extra="forbid")
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class Sample(Model):
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@@ -83,7 +80,7 @@ class Analysis(Model):
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class Metadata(Model):
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timestamp: datetime.datetime
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version: str
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argv: Optional[Tuple[str, ...]]
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argv: Optional[Tuple[str, ...]] = None
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sample: Sample
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analysis: Analysis
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@@ -105,13 +102,13 @@ class CompoundStatement(StatementModel):
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class SomeStatement(StatementModel):
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type = "some"
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type: str = "some"
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description: Optional[str] = None
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count: int
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class RangeStatement(StatementModel):
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type = "range"
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type: str = "range"
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description: Optional[str] = None
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min: int
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max: int
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@@ -119,7 +116,7 @@ class RangeStatement(StatementModel):
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class SubscopeStatement(StatementModel):
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type = "subscope"
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type: str = "subscope"
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description: Optional[str] = None
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scope: capa.rules.Scope
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@@ -134,7 +131,7 @@ Statement = Union[
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class StatementNode(FrozenModel):
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type = "statement"
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type: str = "statement"
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statement: Statement
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@@ -171,7 +168,7 @@ def statement_from_capa(node: capa.engine.Statement) -> Statement:
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class FeatureNode(FrozenModel):
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type = "feature"
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type: str = "feature"
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feature: frz.Feature
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@@ -500,15 +497,12 @@ class MaecMetadata(FrozenModel):
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malware_family: Optional[str] = Field(None, alias="malware-family")
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malware_category: Optional[str] = Field(None, alias="malware-category")
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malware_category_ov: Optional[str] = Field(None, alias="malware-category-ov")
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class Config:
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frozen = True
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allow_population_by_field_name = True
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model_config = ConfigDict(frozen=True, populate_by_name=True)
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class RuleMetadata(FrozenModel):
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name: str
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namespace: Optional[str]
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namespace: Optional[str] = None
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authors: Tuple[str, ...]
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scope: capa.rules.Scope
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attack: Tuple[AttackSpec, ...] = Field(alias="att&ck")
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@@ -546,9 +540,7 @@ class RuleMetadata(FrozenModel):
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) # type: ignore
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# Mypy is unable to recognise arguments due to alias
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class Config:
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frozen = True
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allow_population_by_field_name = True
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model_config = ConfigDict(frozen=True, populate_by_name=True)
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class RuleMatches(FrozenModel):
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@@ -48,7 +48,7 @@ dependencies = [
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"pyelftools==0.29",
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"dnfile==0.13.0",
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"dncil==1.0.2",
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"pydantic==1.10.9",
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"pydantic==2.1.1",
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"protobuf==4.23.4",
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]
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dynamic = ["version"]
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@@ -214,7 +214,9 @@ def main(argv=None):
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if result["status"] == "error":
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logger.warning(result["error"])
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elif result["status"] == "ok":
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results[result["path"].as_posix()] = rd.ResultDocument.parse_obj(result["ok"]).json(exclude_none=True)
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results[result["path"].as_posix()] = rd.ResultDocument.parse_obj(result["ok"]).model_dump_json(
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exclude_none=True
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)
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else:
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raise ValueError(f"unexpected status: {result['status']}")
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@@ -78,7 +78,7 @@ def main(argv=None):
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rdpb.ParseFromString(pb)
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rd = capa.render.proto.doc_from_pb2(rdpb)
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print(rd.json(exclude_none=True, indent=2, sort_keys=True))
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print(rd.model_dump_json(exclude_none=True, indent=2))
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if __name__ == "__main__":
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@@ -236,7 +236,7 @@ def test_basic_block_node_from_capa():
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def assert_round_trip(rd: rdoc.ResultDocument):
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one = rd
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doc = one.json(exclude_none=True)
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doc = one.model_dump_json(exclude_none=True)
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two = rdoc.ResultDocument.parse_raw(doc)
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# show the round trip works
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@@ -244,14 +244,14 @@ def assert_round_trip(rd: rdoc.ResultDocument):
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# which works thanks to pydantic model equality.
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assert one == two
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# second by showing their json representations are the same.
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assert one.json(exclude_none=True) == two.json(exclude_none=True)
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assert one.model_dump_json(exclude_none=True) == two.model_dump_json(exclude_none=True)
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# now show that two different versions are not equal.
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three = copy.deepcopy(two)
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three.meta.__dict__.update({"version": "0.0.0"})
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assert one.meta.version != three.meta.version
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assert one != three
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assert one.json(exclude_none=True) != three.json(exclude_none=True)
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assert one.model_dump_json(exclude_none=True) != three.model_dump_json(exclude_none=True)
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@pytest.mark.parametrize(
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Reference in New Issue
Block a user