Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Do not use for real-time credential monitoring (use AWS GuardDuty or Amazon Macie), for managing secrets (use AWS Secrets Manager or HashiCorp Vault), or for detecting non-credential sensitive data like PII (use Amazon Macie or DLP tools).
brew install trufflehog or pip install trufflehog)brew install git-secrets)iam:ListAccessKeys, iam:GetAccessKeyLastUsed)Install TruffleHog v3 and verify it can detect the AWS credential patterns.
# Install TruffleHog v3
pip install trufflehog
# Or install from binary release
curl -sSfL https://raw.githubusercontent.com/trufflesecurity/trufflehog/main/scripts/install.sh | sh -s -- -b /usr/local/bin
# Verify installation
trufflehog --version
# Test with a known test repository
trufflehog git https://github.com/trufflesecurity/test_keys --only-verified
Scan entire git history including all branches and commits for AWS access keys, secret keys, and session tokens.
# Scan a local git repository (full history)
trufflehog git file:///path/to/repo --only-verified --json > trufflehog-results.json
# Scan a GitHub organization's repositories
trufflehog github --org=your-organization --token=$GITHUB_TOKEN --only-verified
# Scan a specific GitHub repository with all branches
trufflehog git https://github.com/org/repo.git --only-verified --branch=main
# Scan a GitLab group
trufflehog gitlab --group=your-group --token=$GITLAB_TOKEN --only-verified
# Scan filesystem paths for credentials in config files
trufflehog filesystem /path/to/project --only-verified
Parse TruffleHog results to identify verified (still-active) credentials versus rotated or test keys.
# Parse TruffleHog JSON output for AWS findings
cat trufflehog-results.json | python3 -c "
import json, sys
for line in sys.stdin:
finding = json.loads(line)
if 'AWS' in finding.get('DetectorName', ''):
print(f\"Detector: {finding['DetectorName']}\")
print(f\"Verified: {finding.get('Verified', False)}\")
print(f\"Source: {finding.get('SourceMetadata', {})}\")
print(f\"Commit: {finding.get('SourceMetadata', {}).get('Data', {}).get('Git', {}).get('commit', 'N/A')}\")
print(f\"File: {finding.get('SourceMetadata', {}).get('Data', {}).get('Git', {}).get('file', 'N/A')}\")
print('---')
"
# Check if a detected access key is still active
aws iam get-access-key-last-used --access-key-id AKIAIOSFODNN7EXAMPLE
# List all access keys for a user to find active keys
aws iam list-access-keys --user-name target-user \
--query 'AccessKeyMetadata[*].[AccessKeyId,Status,CreateDate]' --output table
Prevent credentials from being committed in the first place using git-secrets as a pre-commit hook.
# Install git-secrets
git secrets --install # In each repository
# Register AWS credential patterns
git secrets --register-aws
# Add custom patterns for internal credential formats
git secrets --add 'AKIA[0-9A-Z]{16}'
git secrets --add 'aws_secret_access_key\s*=\s*.{40}'
git secrets --add 'aws_session_token\s*=\s*.+'
# Scan entire repository history
git secrets --scan-history
# Add to global git template for all new repos
git secrets --install ~/.git-templates/git-secrets
git config --global init.templateDir ~/.git-templates/git-secrets
Add TruffleHog scanning as a CI/CD gate to block deployments containing exposed credentials.
# GitHub Actions workflow (.github/workflows/secrets-scan.yml)
name: Secrets Scan
on: [push, pull_request]
jobs:
trufflehog:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: TruffleHog Scan
uses: trufflesecurity/trufflehog@main
with:
extra_args: --only-verified --results=verified
# GitLab CI (.gitlab-ci.yml)
secrets_scan:
stage: test
image: trufflesecurity/trufflehog:latest
script:
- trufflehog git file://$CI_PROJECT_DIR --since-commit $CI_COMMIT_BEFORE_SHA --only-verified --fail
allow_failure: false
Execute incident response procedures when verified credentials are found exposed.
# IMMEDIATE: Deactivate the exposed access key
aws iam update-access-key \
--user-name compromised-user \
--access-key-id AKIAEXPOSEDKEY123456 \
--status Inactive
# Generate new credentials
aws iam create-access-key --user-name compromised-user
# Review CloudTrail for unauthorized usage of the exposed key
aws cloudtrail lookup-events \
--lookup-attributes AttributeKey=AccessKeyId,AttributeValue=AKIAEXPOSEDKEY123456 \
--start-time 2026-01-01T00:00:00Z \
--query 'Events[*].[EventTime,EventName,EventSource,SourceIPAddress]' \
--output table
# Delete the exposed key after rotation is confirmed
aws iam delete-access-key \
--user-name compromised-user \
--access-key-id AKIAEXPOSEDKEY123456
# Remove the credential from git history using BFG Repo Cleaner
java -jar bfg.jar --replace-text credentials.txt repo.git
| Term | Definition |
|---|---|
| TruffleHog | Open-source secrets detection tool that scans git history, filesystems, and cloud services for exposed credentials using regex patterns and verification APIs |
| Verified Secret | A credential that TruffleHog has confirmed is still active by making an API call to the target service (e.g., AWS STS GetCallerIdentity) |
| git-secrets | AWS Labs pre-commit hook tool that prevents committing strings matching AWS credential patterns to git repositories |
| Access Key Rotation | The practice of regularly replacing AWS access key pairs to limit the window of exposure if a key is compromised |
| BFG Repo Cleaner | Tool for removing sensitive data from git history without rewriting the entire repository, faster than git filter-branch |
| GitHub Secret Scanning | GitHub-native feature that scans public repositories for known credential patterns and notifies the credential provider |
Context: GitHub secret scanning notifies that an AWS access key was pushed to a public repository. The key belongs to a developer with production S3 and DynamoDB access.
Approach:
aws iam update-access-key --status Inactiveaws cloudtrail lookup-events filtering by the exposed AccessKeyId to check for unauthorized usagetrufflehog git to find any other exposed credentialsPitfalls: Simply deleting the commit or force-pushing does not remove credentials from GitHub's cache or forks. The key must be deactivated at the AWS level immediately. GitHub secret scanning may have already notified AWS, triggering automated key deactivation.
AWS Credential Exposure Scan Report
======================================
Scan Target: github.com/acme-corp (42 repositories)
Scan Date: 2026-02-23
Tool: TruffleHog v3.63.0
Mode: Full git history scan with verification
VERIFIED FINDINGS (Active Credentials):
[CRED-001] AWS Access Key - VERIFIED ACTIVE
Key ID: AKIA...WXYZ
Repository: acme-corp/backend-api
File: deploy/config.env
Commit: a1b2c3d (2025-08-15)
Author: developer@acme.com
IAM User: svc-backend-deploy
Permissions: S3, DynamoDB, SQS (production)
Status: CRITICAL - Key active and used from 3 IP addresses
Action Required: Immediate deactivation and rotation
[CRED-002] AWS Secret Key - VERIFIED ACTIVE
Repository: acme-corp/data-pipeline
File: scripts/etl_config.py
Commit: d4e5f6g (2025-11-22)
Author: data-engineer@acme.com
Status: HIGH - Key active, last used 2 days ago
UNVERIFIED FINDINGS (Potential Credentials):
Total pattern matches: 15
Likely test/example keys: 12
Requires manual review: 3
SUMMARY:
Repositories scanned: 42
Commits analyzed: 125,847
Verified active credentials: 2
Unverified credential patterns: 15
Repositories with pre-commit hooks: 8 / 42
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。