This skill covers implementing Gitleaks for detecting and preventing hardcoded secrets in git repositories. It addresses configuring pre-commit hooks, CI/CD pipeline integration, custom rule authoring for organization-specific secrets, baseline management for existing repositories, and remediation workflows for exposed credentials.
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This skill covers implementing Gitleaks for detecting and preventing hardcoded secrets in git repositories. It addresses configuring pre-commit hooks, CI/CD pipeline integration, custom rule authoring for organization-specific secrets, baseline management for existing repositories, and remediation workflows for exposed credentials.
Vendored verbatim from an external Apache-2.0 security-skill library, pinned by commit. Exceeds the internal 300-line skill guideline (agent-code-constraints.md) -- kept as-is because this is vendored reference material (forensics/threat-intel procedure), not Yana AI-authored content, and trimming would damage technical accuracy.
Implementing Secret Scanning with Gitleaks
When to Use
When developers may accidentally commit API keys, passwords, tokens, or private keys to repositories
When establishing pre-commit gates that prevent secrets from entering the git history
When scanning existing repository history for previously committed secrets that need rotation
When compliance requirements mandate secret detection across all source code repositories
When migrating from manual secret audits to automated continuous scanning
Do not use for detecting secrets in running applications or memory (use runtime secret detection), for managing secrets after detection (use Vault or AWS Secrets Manager), or for scanning container images (use Trivy or Grype).
Prerequisites
Gitleaks v8.18+ installed via binary, Go install, or Docker
Pre-commit framework installed for local hook integration
Git repository with history to scan
CI/CD platform access (GitHub Actions, GitLab CI, or equivalent)
Workflow
Step 1: Install and Run Initial Repository Scan
Perform a baseline scan of the repository to identify all existing secrets in the git history.
# Install Gitleaks
brew install gitleaks # macOS# or download binary from https://github.com/gitleaks/gitleaks/releases# Scan entire git history for secrets
gitleaks detect --source . --report-format json --report-path gitleaks-report.json -v
# Scan only staged changes (for pre-commit)
gitleaks protect --staged --report-format json --report-path gitleaks-staged.json
# Scan specific commit range
gitleaks detect --source . --log-opts="HEAD~10..HEAD" --report-format json
# Scan without git history (filesystem only)
gitleaks detect --source . --no-git --report-format json
Step 2: Configure Pre-Commit Hook
Set up Gitleaks as a pre-commit hook to prevent secrets from being committed.
# Install pre-commit framework
pip install pre-commit
# Install hooks defined in .pre-commit-config.yaml
pre-commit install
# Run against all files (not just staged)
pre-commit run gitleaks --all-files
# Test the hook with a deliberate secretecho'AWS_SECRET_ACCESS_KEY="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"' >> test.txt
git add test.txt
git commit -m "test"# Should be blocked by gitleaks
Step 3: Integrate into GitHub Actions
# .github/workflows/secret-scanning.ymlname:SecretScanningon:push:branches: [main, develop]
pull_request:branches: [main]
jobs:gitleaks:name:GitleaksSecretScanruns-on:ubuntu-lateststeps:-uses:actions/checkout@v4with:fetch-depth:0# Full history for comprehensive scanning-name:RunGitleaksuses:gitleaks/gitleaks-action@v2env:GITHUB_TOKEN:${{secrets.GITHUB_TOKEN}}GITLEAKS_LICENSE:${{secrets.GITLEAKS_LICENSE}}# Required for gitleaks-action v2# Alternative: Run Gitleaks directly-name:InstallGitleaksrun:|
wget -q https://github.com/gitleaks/gitleaks/releases/download/v8.21.2/gitleaks_8.21.2_linux_x64.tar.gz
tar -xzf gitleaks_8.21.2_linux_x64.tar.gz
chmod +x gitleaks
-name:Scanforsecretsrun:|
if [ "${{ github.event_name }}" == "pull_request" ]; then
./gitleaks detect \
--source . \
--log-opts="${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }}" \
--report-format sarif \
--report-path gitleaks.sarif \
--exit-code 1
else
./gitleaks detect \
--source . \
--report-format sarif \
--report-path gitleaks.sarif \
--exit-code 1 \
--baseline-path .gitleaks-baseline.json
fi
-name:UploadSARIFif:always()uses:github/codeql-action/upload-sarif@v3with:sarif_file:gitleaks.sarifcategory:gitleaks
Step 4: Author Custom Detection Rules
Create organization-specific rules for internal secret patterns.
# .gitleaks.tomltitle = "Organization Gitleaks Configuration"[extend]useDefault = true# Include all default rules# Custom rule for internal API tokens[[rules]]id = "internal-api-token"description = "Internal API token for service-to-service auth"regex = '''(?i)x-internal-token["\s:=]+["\']?([a-zA-Z0-9_\-]{40,})["\']?'''entropy = 3.5keywords = ["x-internal-token"]
tags = ["internal", "api"]
[[rules]]id = "database-connection-string"description = "Database connection string with embedded credentials"regex = '''(?i)(postgres|mysql|mongodb|redis)://[^:]+:[^@]+@[^/]+/\w+'''keywords = ["postgres://", "mysql://", "mongodb://", "redis://"]
tags = ["database", "credentials"]
[[rules]]id = "jwt-secret"description = "JWT signing secret"regex = '''(?i)(jwt[_-]?secret|jwt[_-]?key)["\s:=]+["\']?([a-zA-Z0-9/+_\-]{32,})["\']?'''entropy = 3.0keywords = ["jwt_secret", "jwt-secret", "jwt_key", "jwt-key"]
# Allowlist for test files and known safe patterns[allowlist]description = "Global allowlist"paths = [
'''(^|/)test(s)?/''',
'''(^|/)spec/''',
'''\.test\.(js|ts|py)$''',
'''\.spec\.(js|ts|py)$''',
'''__mocks__/''',
'''fixtures/''',
'''(^|/)vendor/''',
'''node_modules/'''
]
regexes = [
'''EXAMPLE''',
'''example\.com''',
'''test[-_]?(key|secret|token|password)''',
'''(?i)placeholder''',
'''000000+'''
]
Step 5: Manage Baselines for Existing Repositories
Create a baseline of known findings to avoid blocking development while historical secrets are being rotated.
# Generate baseline from current state
gitleaks detect --source . --report-format json --report-path .gitleaks-baseline.json
# Subsequent scans compare against baseline (only new findings trigger failures)
gitleaks detect --source . --baseline-path .gitleaks-baseline.json --exit-code 1
# Review baseline periodically and remove entries as secrets are rotatedcat .gitleaks-baseline.json | python3 -m json.tool | head -50
Step 6: Remediate Exposed Secrets
When a secret is detected, follow the rotation and history cleanup procedure.
# 1. Immediately rotate the exposed credential# - Revoke the old API key/token in the service provider# - Generate a new credential# - Store the new credential in a secrets manager# 2. Remove secret from git history using git-filter-repo
pip install git-filter-repo
# Create expressions file for secrets to removecat > /tmp/expressions.txt << 'EOF'
regex:AKIA[0-9A-Z]{16}==>REDACTED_AWS_KEY
regex:(?i)password\s*=\s*"[^"]*"==>password="REDACTED"
EOF
git filter-repo --replace-text /tmp/expressions.txt --force
# 3. Force-push the cleaned history (coordinate with team)
# git push --force --all # WARNING: Requires team coordination
# 4. Add the secret pattern to .gitleaks.toml rules
# 5. Update the baseline file to remove the resolved finding
Key Concepts
Term
Definition
Secret
Any credential, token, key, or sensitive string that should not appear in source code
Pre-commit Hook
Git hook that runs before a commit is created, blocking commits containing detected secrets
Entropy
Measure of randomness in a string; high-entropy strings are more likely to be secrets
Baseline
Snapshot of existing findings used to differentiate new secrets from pre-existing ones
Allowlist
Configuration specifying paths, patterns, or commits to exclude from detection
SARIF
Static Analysis Results Interchange Format for uploading findings to security dashboards
git-filter-repo
Tool for rewriting git history to remove sensitive data from all commits
Scenario: Onboarding Secret Scanning on a Legacy Repository
Context: A 5-year-old repository has never been scanned. The team needs to enable secret scanning without blocking all development while historical secrets are rotated.
Approach:
Run gitleaks detect against full history and generate a baseline JSON file
Triage each finding: classify as active (needs rotation), inactive (already rotated), or false positive
Immediately rotate all active secrets and update consuming services
Commit the baseline file (excluding active secrets that have been fixed)
Enable pre-commit hooks for new development immediately
Add CI/CD scanning with the baseline to catch only new secrets
Progressively reduce the baseline as historical secrets are rotated
Pitfalls: Generating a baseline without triaging means accepting risk on unrotated secrets. Never assume a historical secret is inactive without verifying with the service provider. Running git-filter-repo on a shared repository without coordination will cause rebase conflicts for all team members.
Output Format
Gitleaks Secret Scanning Report
=================================
Repository: org/web-application
Scan Type: Full History
Commits Scanned: 4,523
Date: 2026-02-23
FINDINGS:
Total: 12
New (not in baseline): 3
Baseline (pre-existing): 9
NEW FINDINGS (blocking):
[1] AWS Access Key ID
Rule: aws-access-key-id
File: src/config/aws.py:23
Commit: a1b2c3d (2026-02-22, dev@company.com)
Secret: AKIA...REDACTED
Entropy: 3.8
[2] GitHub Personal Access Token
Rule: github-pat
File: scripts/deploy.sh:15
Commit: d4e5f6g (2026-02-21, ops@company.com)
Secret: ghp_...REDACTED
Entropy: 4.2
[3] Internal API Token
Rule: internal-api-token
File: src/services/auth.py:89
Commit: h7i8j9k (2026-02-20, dev@company.com)
QUALITY GATE: FAILED (3 new findings)
Action: Rotate exposed credentials immediately.
