Agent skill

dependency-audit

Quellcode ansehen: coreyhaines31/cybersecurity-skills

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Installation

npx skills add coreyhaines31/cybersecurity-skills --skill dependency-audit

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Dependency Audit — Framework, Package, and Toolchain Security

Audit project dependencies, frameworks, language runtimes, and dev tools for known vulnerabilities (CVEs), security anti-patterns, and supply chain risks.

Methodology

Step 1: Inventory the Stack

Identify everything in use — not just direct dependencies but the full chain:

Package manifests — read and catalog:

Node/JS:    package.json, package-lock.json, yarn.lock, pnpm-lock.yaml
Python:     requirements.txt, Pipfile.lock, pyproject.toml, poetry.lock
Ruby:       Gemfile, Gemfile.lock
Go:         go.mod, go.sum
Rust:       Cargo.toml, Cargo.lock
Java:       pom.xml, build.gradle
PHP:        composer.json, composer.lock
.NET:       *.csproj, packages.config

Framework and runtime versions:

  • Check framework version (Next.js, Django, Rails, Spring, Laravel, Express, etc.)
  • Check language/runtime version (Node.js, Python, Ruby, Go, Java, PHP, .NET)
  • Check infrastructure tools (Docker base images, Terraform providers, Kubernetes versions)

Dev tools and CI/CD:

  • Check CI/CD pipeline configs (.github/workflows, .gitlab-ci.yml, Jenkinsfile)
  • Check pre-commit hooks, linters, formatters
  • Check container base images and their update status
  • Check IaC tool versions (Terraform, Pulumi, CDK)

Step 2: Run Automated Audit Tools

Run the appropriate audit command for the project:

# Node.js
npm audit
npm audit --json  # For structured output

# Python
pip audit          # If pip-audit installed
safety check       # If safety installed

# Ruby
bundle audit

# Go
govulncheck ./...

# Rust
cargo audit

# PHP
composer audit

# .NET
dotnet list package --vulnerable

# Docker
docker scout cves <image>
trivy image <image>

# General (if Trivy is available)
trivy fs .

Step 3: Research Framework-Specific Known Issues

Beyond CVEs in packages, check for known vulnerability patterns specific to the framework in use. Search for recent advisories and common misconfiguration issues.

Next.js / React:

  • Server Actions exposing internal endpoints (pre-14.1.1 middleware bypass CVE-2025-29927)
  • dangerouslySetInnerHTML without sanitization
  • SSRF through image optimization (next/image with unrestricted domains)
  • Exposed .env files in public directory or client bundle (NEXT_PUBLIC_ prefix leaking secrets)
  • Middleware auth bypass patterns — check middleware.ts matches all protected routes
  • Server Component / Client Component boundary leaking server-only data
  • Outdated next.config.js security headers

Django:

  • DEBUG=True in production
  • ALLOWED_HOSTS misconfigured (wildcard *)
  • Missing CSRF middleware or @csrf_exempt on state-changing views
  • Raw SQL via extra(), raw(), or RawSQL without parameterization
  • Pickle deserialization in sessions (use JSON serializer)
  • Secret key committed to source control

Rails:

  • Mass assignment without strong parameters
  • SQL injection via where("column = '#{input}'")
  • Unpatched Action Pack, Action View, or Active Record CVEs
  • Insecure deserialization in cookies (verify secret_key_base rotation)
  • CSRF token bypass in API-only mode

Express / Node.js:

  • Prototype pollution through Object.assign, lodash.merge, deep-extend
  • ReDoS (Regular Expression Denial of Service) in validation patterns
  • Path traversal through req.params in file serving routes
  • Missing rate limiting on auth endpoints
  • eval() or Function() with user input
  • Event loop blocking with synchronous operations

Spring / Java:

  • Spring4Shell and related RCE vulnerabilities
  • Deserialization attacks (Java native serialization, Jackson polymorphic types)
  • SpEL injection in Spring Expression Language
  • Missing CSRF protection on state-changing endpoints
  • Actuator endpoints exposed without authentication

Laravel / PHP:

  • APP_DEBUG=true in production (leaks env vars in error pages)
  • SQL injection via raw DB queries without bindings
  • Mass assignment without $fillable / $guarded
  • File upload without type validation (PHP execution via uploaded .php)
  • Insecure deserialization in queued jobs

WordPress:

  • Outdated core, theme, or plugin versions (most common attack vector)
  • File editor enabled in wp-admin (allows code injection if admin is compromised)
  • XML-RPC enabled (brute force amplification, SSRF)
  • Default admin username, weak passwords
  • Unpatched plugin vulnerabilities (check WPScan database)

Step 4: Check for Supply Chain Risks

Beyond known CVEs, look for supply chain attack indicators:

Dependency confusion / substitution:

  • Private package names that could be claimed on public registries
  • Missing .npmrc or pip.conf scoping to private registry
  • No lockfile integrity verification

Typosquatting:

  • Package names that are close misspellings of popular packages
  • Recently published packages with very few downloads
  • Packages that changed ownership recently

Malicious packages:

  • Postinstall scripts that make network requests or execute code (scripts.postinstall in package.json)
  • Packages with obfuscated code
  • Excessive permission requests relative to functionality

Maintenance risk:

  • Unmaintained packages (no commits in 2+ years, archived repos)
  • Single-maintainer packages for critical functionality
  • Packages with known but unpatched vulnerabilities (maintainer unresponsive)

Lockfile integrity:

  • Is the lockfile committed to source control?
  • Does CI install from the lockfile (npm ci not npm install, pip install --require-hashes)?
  • Are integrity hashes present and verified?

Step 5: Check Dev Tool and CI/CD Security

GitHub Actions:

  • pull_request_target trigger with checkout of PR code (code injection risk)
  • Secrets accessible in forked PR workflows
  • Unpinned action versions (uses: actions/checkout@main vs @v4.1.0 or SHA pin)
  • Script injection via ${{ github.event.issue.title }} in run: blocks

Docker:

  • Running as root in container (missing USER directive)
  • Base image with known CVEs (check with trivy or docker scout)
  • Secrets baked into image layers (visible via docker history)
  • latest tag instead of pinned version

Terraform / IaC:

  • Hardcoded secrets in .tf files
  • Unpinned provider versions
  • Missing state file encryption
  • Over-permissive IAM in provider configuration

Output Format

# Dependency & Stack Security Audit
## Project: [name]
## Stack: [language, framework, key tools]
## Date: [date]

### Stack Inventory
| Component | Version | Latest | Status |
|-----------|---------|--------|--------|

### Known Vulnerabilities (CVEs)
| Package | Installed | Vuln | Severity | CVE | Fix Version |
|---------|-----------|------|----------|-----|-------------|

### Framework-Specific Issues
#### [SEVERITY] [Title]
**Component:** [framework/tool name and version]
**Issue:** [description]
**Evidence:** [code or config snippet]
**Remediation:** [specific fix]

### Supply Chain Risks
| Risk | Package/Component | Details | Remediation |
|------|-------------------|---------|-------------|

### Dev Tool / CI Security
| Tool | Issue | Severity | Remediation |
|------|-------|----------|-------------|

### Prioritized Action Plan
1. [Critical — actively exploited CVEs, RCE vulnerabilities]
2. [High — known CVEs with public exploits, supply chain risks]
3. [Medium — framework misconfigurations, outdated dependencies]
4. [Low — maintenance risks, best practice improvements]

Boundaries

  • Only audit code and configurations the user provides
  • When identifying CVEs, verify they apply to the actual installed version
  • Provide specific fix versions or remediation steps for every finding
  • Note when a vulnerability requires specific conditions to exploit (reducing effective severity)
  • Refuse to help exploit found vulnerabilities against unauthorized targets

References

  • OWASP Dependency-Check
  • National Vulnerability Database (NVD)
  • GitHub Advisory Database
  • Snyk Vulnerability Database
  • npm audit / pip-audit / bundler-audit documentation
  • SLSA (Supply-chain Levels for Software Artifacts) framework

So verwenden Sie diesen Skill

1

Install dependency-audit by running npx skills add coreyhaines31/cybersecurity-skills --skill dependency-audit in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für dependency-audit, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.