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Detecting AWS Credential Exposure

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Scan for exposed AWS credentials in your codebase.

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What Detecting AWS Credential Exposure does

Detecting AWS Credential Exposure with TruffleHog is a skill designed for developers and security teams to identify exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files. By leveraging tools like TruffleHog and git-secrets, this skill helps ensure that sensitive credentials do not make their way into production environments. It is particularly useful for organizations looking to enhance their security posture by integrating secrets scanning into their development workflows.

The skill facilitates the scanning of entire git histories, including all branches and commits, to uncover AWS access keys, secret keys, and session tokens. This is invaluable during security audits, onboarding of third-party repositories, or when responding to AWS GuardDuty alerts about suspicious credential usage. Additionally, it aids in validating that credential rotation processes have effectively removed all references to old keys, thus minimizing the risk of unauthorized access.

To use this skill, users must install TruffleHog and git-secrets, configure their AWS CLI, and have appropriate permissions to access the necessary repositories. The workflow includes installing and configuring TruffleHog, scanning repositories, analyzing results, setting up pre-commit hooks to prevent future exposures, and integrating the scanning process into CI/CD pipelines. This comprehensive approach ensures that security is maintained throughout the development lifecycle.

Overall, this skill is essential for any team that prioritizes cloud security and wants to proactively manage the risk of credential exposure in their AWS environments.

When to use it

Use this skill when integrating secrets detection into CI/CD pipelines or auditing existing repositories for historical credential exposure.

When not to use it

Do not use this skill for real-time credential monitoring or managing secrets, as it is focused on scanning and detection rather than ongoing management.

What you can build with it

Integrating into CI/CD

Add TruffleHog scanning to your CI/CD pipeline to prevent AWS credentials from reaching production.

Auditing Repositories

Perform a security audit of existing repositories to identify historically committed AWS credentials.

Responding to GuardDuty Alerts

Use this skill to investigate AWS GuardDuty alerts regarding unexpected credential usage.

How to install Detecting AWS Credential Exposure

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1. Install with the skills CLI

npx skills add mukul975/anthropic-cybersecurity-skills/detecting-aws-credential-exposure-with-trufflehog --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mukul975

Detecting AWS Credential Exposure with TruffleHog

When to Use

  • When integrating secrets detection into CI/CD pipelines to prevent credential commits reaching production
  • When performing a security audit of existing repositories for historically committed AWS credentials
  • When responding to an AWS GuardDuty alert about credential usage from an unexpected IP or region
  • When onboarding repositories from acquired companies or third-party vendors
  • When validating that credential rotation processes have removed all references to old access keys

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).

Prerequisites

  • TruffleHog v3 installed (brew install trufflehog or pip install trufflehog)
  • git-secrets installed for pre-commit hook integration (brew install git-secrets)
  • Access to source code repositories (GitHub, GitLab, Bitbucket, or local git repos)
  • AWS CLI configured with permissions to check key status (iam:ListAccessKeys, iam:GetAccessKeyLastUsed)
  • GitHub or GitLab API token for scanning organization-wide repositories

Workflow

Step 1: Install and Configure TruffleHog

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

Step 2: Scan Git Repositories for Exposed Credentials

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

Step 3: Analyze and Validate Detected Credentials

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

Step 4: Set Up Pre-Commit Hooks with git-secrets

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

Step 5: Integrate TruffleHog into CI/CD Pipeline

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

Step 6: Respond to Detected Credential Exposure

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

Key Concepts

TermDefinition
TruffleHogOpen-source secrets detection tool that scans git history, filesystems, and cloud services for exposed credentials using regex patterns and verification APIs
Verified SecretA credential that TruffleHog has confirmed is still active by making an API call to the target service (e.g., AWS STS GetCallerIdentity)
git-secretsAWS Labs pre-commit hook tool that prevents committing strings matching AWS credential patterns to git repositories
Access Key RotationThe practice of regularly replacing AWS access key pairs to limit the window of exposure if a key is compromised
BFG Repo CleanerTool for removing sensitive data from git history without rewriting the entire repository, faster than git filter-branch
GitHub Secret ScanningGitHub-native feature that scans public repositories for known credential patterns and notifies the credential provider

Tools & Systems

  • TruffleHog v3: Primary scanning engine supporting git, filesystem, S3, and CI/CD integration with verified credential detection
  • git-secrets: AWS Labs pre-commit hook for preventing credential commits at the developer workstation level
  • BFG Repo Cleaner: Fast tool for removing credentials from git history after exposure is detected
  • AWS GuardDuty: Threat detection service that alerts on anomalous usage of AWS credentials from unexpected locations
  • GitHub Advanced Security: Platform-native secret scanning for GitHub repositories with push protection

Common Scenarios

Scenario: Developer Commits AWS Credentials to a Public GitHub Repository

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:

  1. Immediately deactivate the access key using aws iam update-access-key --status Inactive
  2. Run aws cloudtrail lookup-events filtering by the exposed AccessKeyId to check for unauthorized usage
  3. Scan the full repository history with trufflehog git to find any other exposed credentials
  4. Generate a new access key for the developer and deliver it through Secrets Manager
  5. Remove the credential from git history using BFG Repo Cleaner
  6. Install git-secrets pre-commit hook on the developer's workstation
  7. Add TruffleHog to the repository's CI/CD pipeline to prevent recurrence

Pitfalls: 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.

Output Format

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

Frequently asked questions about Detecting AWS Credential Exposure

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