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modules/recon/aws-credentials-exposure.yaml flags exposed .aws/credentials, .s3cfg and .boto files on the access and secret key markers, and extracts the AKIA/ASIA access key id. modules/recon/npmrc-exposure.yaml flags a .npmrc only when it carries an auth token or password, not a bare registry config, and extracts the registry the token belongs to. modules/recon/docker-config-exposure.yaml flags .docker/config.json and the legacy .dockercfg on the base64 auth field, and extracts the registry host. each module ands a negative matcher on the usual html markers so a 200 page that merely names a key is not a hit, the same guard the env exposure module uses. internal/modules/credential_exposure_test.go drives the three modules end to end through ExecuteHTTPModule and asserts the leak alongside the near misses a strict review wants pinned: an html doc that only names a key, a plain 200 body, a 404, and a jwt shaped docker auth value, none of which may match. verify: go test ./internal/modules, each matcher, guard and extractor proven to bite (break -> red, restore -> green).
54 lines
1017 B
YAML
54 lines
1017 B
YAML
# AWS Credentials File Exposure Detection Module
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id: aws-credentials-exposure
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info:
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name: AWS Credentials File Exposure
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author: sif
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severity: high
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description: Detects exposed AWS credential files that leak access key ids and secret keys
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tags: [aws, credentials, secrets, exposure, recon]
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type: http
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http:
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method: GET
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paths:
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- "{{BaseURL}}/.aws/credentials"
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- "{{BaseURL}}/.s3cfg"
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- "{{BaseURL}}/.boto"
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threads: 3
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matchers:
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- type: status
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status:
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- 200
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- type: word
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part: body
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condition: or
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words:
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- "aws_secret_access_key"
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- "aws_access_key_id"
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- "secret_key"
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- type: word
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part: body
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negative: true
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condition: or
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words:
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- "<!DOCTYPE"
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- "<!doctype"
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- "<html"
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- "<HTML"
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- "<head>"
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- "<title>"
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extractors:
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- type: regex
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name: aws_access_key_id
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part: body
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regex:
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- '((?:AKIA|ASIA)[0-9A-Z]{16})'
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group: 1
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