detecting-aws-credential-exposure-with-trufflehog

by mukul975

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SKILL.md About

---
name: detecting-aws-credential-exposure-with-trufflehog
description: '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.

'
domain: cybersecurity
subdomain: cloud-security
tags:
- cloud-security
- aws
- credential-exposure
- trufflehog
- secrets-detection
- devsecops
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- PR.IR-01
- ID.AM-08
- GV.SC-06
- DE.CM-01
---

# 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.

```bash
# 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.

```bash
# 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.

```bash
# 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.

```bash
# 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.

```yaml
# 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
```

```yaml
# 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.

```bash
# 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

| 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 |

## 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
```