Files
dev-workflows/skills/secrets-scan/SKILL.md
evandrodevbr c17192c9fe feat: vendorizar as 10 skills do pilar de seguranca em skills/
Copia local (nao fork, nao submodule) de safedeps, sca-audit,
secrets-scan, code-review-security, api-security-review,
web-security-review, cve-triage, patch-prioritization,
dependency-scanning e hermaguard -- commit exato de origem e licenca
de cada uma em skills/NOTICE.md. Elimina o passo de clone externo
pro pilar de seguranca do wf-security-review: git clone deste repo
ja traz tudo funcional.

Corrige tambem o comando de instalacao pro Claude Code nos dois
READMEs e no docs/SKILLS.md: Claude Code exige um diretorio por
skill (skills/<nome>/SKILL.md), nao aceita os .md soltos que o
comando antigo copiava -- confirmado testando a instalacao real.
2026-08-24 00:32:20 -03:00

2.1 KiB

name, description, license
name description license
secrets-scan Detect hardcoded credentials, API keys, tokens, and secrets in source code and configuration files. Use when reviewing code for leaked secrets before commit/merge, auditing a repository for credential exposure, or setting up secret detection. CC-BY-4.0

Secrets Scan

Detect hardcoded secrets by following the full procedure in plays/secrets-scan.md.

Steps

  1. Run Automated Scanner — Use available tools in preference order:

    • trufflehog filesystem --directory=<path> --json (recommended)
    • trufflehog git file://<repo> --json (includes git history)
    • gitleaks detect --source=<path> --report-format=json
    • detect-secrets scan <path> --all-files
    • If no scanner available, proceed with manual pattern analysis.
  2. Manual Pattern Analysis — Search for high-confidence patterns:

    • AWS keys (AKIA...), OpenAI (sk-...), Anthropic (sk-ant-...), GitHub (ghp_...), Slack (xoxb-...), Stripe (sk_live_...), SendGrid (SG.)
    • Connection strings with embedded passwords (://user:pass@host)
    • Private keys (PEM headers), JWT secrets, database credentials
    • High-risk files: .env, docker-compose*.yml, *.tfvars, terraform.tfstate, kubeconfig, .npmrc, .pypirc
  3. Contextual Analysis — For each detection: Is it real (not a placeholder/test fixture)? Is it active? What's the blast radius (service, permissions, prod vs dev, exposure duration)?

  4. Check Preventive Controls — Verify: .gitignore covers sensitive files, pre-commit hooks for secret scanning, CI pipeline scanning, secrets management documentation.

Important: Never include actual secret values in findings. Show redacted versions only (e.g., AKIA****EXAMPLE). Active production secrets require immediate rotation.

Output

Scan summary, findings using templates/finding.md, preventive controls checklist, and immediate rotation actions if needed.

OWASP References

  • A07:2021: Identification and Authentication Failures
  • CWE-798: Use of Hard-coded Credentials
  • CWE-312: Cleartext Storage of Sensitive Information