skill-security-auditor

name

skill-security-auditor

description

Security auditing for code, configs, and infrastructure. Use when the user wants to audit or improve security: scan for vulnerabilities (SQL injection, XSS, command injection, path traversal), detect hardcoded secrets and credentials, review auth and authorization, check dependencies for known CVEs, audit config files for insecure defaults, or generate security reports. Trigger on \"security audit\", \"vulnerability scan\", \"code review for security\", \"find secrets\", \"check for vulnerabilities\", \"OWASP\", \"CVE\", or questions about code security. Use when this capability is needed.

Security Auditor Guide

Overview

This guide covers security auditing workflows for source code, dependencies, and configurations. For detailed vulnerability patterns and detection rules, see references/vulnerability-patterns.md. For secrets detection patterns, see references/secrets-patterns.md.

Quick Start

Run the bundled scan script against a project directory:

python scripts/scan_project.py /path/to/project

This performs a lightweight scan for common issues: hardcoded secrets, dangerous function calls, and insecure patterns. For deeper analysis, follow the workflows below.

Testing the scripts

python scripts/scan_project.py /path/to/some/project --format text
python scripts/scan_secrets.py /path/to/some/project --format text

Audit Workflow

1. Reconnaissance

Before auditing, understand the project:

# Identify languages, frameworks, and entry points
find . -type f -name "*.py" -o -name "*.js" -o -name "*.ts" -o -name "*.go" -o -name "*.java" | head -20
cat package.json pyproject.toml requirements.txt go.mod pom.xml 2>/dev/null

Key questions:

• What frameworks are used? (Express, Django, Flask, Spring, etc.)
• Where are the entry points? (routes, controllers, API handlers)
• How is authentication handled?
• What external services are called?
• Is user input accepted? Where?

2. Secrets Detection

Scan for hardcoded credentials, API keys, and tokens. See references/secrets-patterns.md for the full pattern list.

python scripts/scan_secrets.py /path/to/project

Common patterns to check:

• API keys and tokens in source files
• Database connection strings with embedded passwords
• Private keys or certificates committed to the repo
• .env files or config files with plaintext secrets
• Secrets in CI/CD configuration files

3. Vulnerability Scanning

OWASP Top 10 Checklist

#	Category	What to Look For
A01	Broken Access Control	Missing auth checks, IDOR, privilege escalation
A02	Cryptographic Failures	Weak algorithms, plaintext storage, missing TLS
A03	Injection	SQL, NoSQL, OS command, LDAP, XSS
A04	Insecure Design	Missing rate limits, business logic flaws
A05	Security Misconfiguration	Debug mode, default credentials, verbose errors
A06	Vulnerable Components	Outdated dependencies with known CVEs
A07	Auth Failures	Weak passwords, missing MFA, session issues
A08	Data Integrity Failures	Insecure deserialization, unsigned updates
A09	Logging Failures	Missing audit logs, sensitive data in logs
A10	SSRF	Unvalidated URLs in server-side requests

Language-Specific Checks

Python

# Dangerous: SQL injection
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
# Safe: Parameterized query
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))

# Dangerous: Command injection
os.system(f"ping {hostname}")
# Safe: Use subprocess with list args
subprocess.run(["ping", hostname], capture_output=True)

# Dangerous: Path traversal
open(f"/data/{user_input}")
# Safe: Validate and resolve path
path = pathlib.Path("/data") / user_input
path.resolve().relative_to(pathlib.Path("/data").resolve())

JavaScript/TypeScript

// Dangerous: XSS via innerHTML
element.innerHTML = userInput;
// Safe: Use textContent or sanitize
element.textContent = userInput;

// Dangerous: Prototype pollution
Object.assign(target, JSON.parse(userInput));
// Safe: Validate input structure
const parsed = JSON.parse(userInput);
if (typeof parsed !== 'object' || Array.isArray(parsed)) throw new Error();
const sanitized = Object.fromEntries(
  Object.entries(parsed).filter(([k]) => !k.startsWith('__'))
);

// Dangerous: eval or Function constructor
eval(userInput);
// Safe: Never use eval with user input

Go

// Dangerous: SQL injection
db.Query("SELECT * FROM users WHERE id = " + id)
// Safe: Parameterized query
db.Query("SELECT * FROM users WHERE id = $1", id)

// Dangerous: Path traversal
http.ServeFile(w, r, filepath.Join(baseDir, r.URL.Path))
// Safe: Clean and validate path
cleaned := filepath.Clean(r.URL.Path)
full := filepath.Join(baseDir, cleaned)
if !strings.HasPrefix(full, baseDir) { http.Error(...) }

4. Dependency Audit

Check for known vulnerabilities in project dependencies:

# Python
pip audit
safety check -r requirements.txt

# Node.js
npm audit
npx auditjs ossi

# Go
govulncheck ./...

# General (if Trivy is available)
trivy fs --scanners vuln /path/to/project

Review the output and categorize by severity (critical, high, medium, low). Critical and high severity findings should be addressed before deployment.

5. Configuration Review

Check for insecure defaults in configuration files:

# Common misconfigurations to flag:
DEBUG: true                    # Debug mode in production
ALLOWED_HOSTS: ["*"]          # Unrestricted host access
CORS_ALLOW_ALL_ORIGINS: true  # Open CORS policy
SECRET_KEY: "default"         # Default or weak secret key
SSL_VERIFY: false             # Disabled TLS verification

Check infrastructure configs:

• Dockerfiles: Running as root, exposing unnecessary ports
• CI/CD: Secrets in plaintext, overly permissive permissions
• Cloud configs: Public S3 buckets, open security groups

6. Authentication and Authorization Review

Key areas to verify:

• Password hashing uses strong algorithms (bcrypt, argon2, scrypt)
• Sessions have appropriate timeouts and rotation
• JWT tokens are validated properly (algorithm, expiry, signature)
• API endpoints enforce authorization checks
• Role-based access control is consistently applied
• Rate limiting is in place for login and sensitive endpoints

Report Format

When generating a security audit report, use this structure:

# Security Audit Report

## Summary
- **Project**: [name]
- **Date**: [date]
- **Scope**: [what was audited]
- **Risk Level**: [Critical/High/Medium/Low]

## Findings

### [SEVERITY] Finding Title
- **Category**: [OWASP category]
- **Location**: [file:line]
- **Description**: [what the issue is]
- **Impact**: [what could happen if exploited]
- **Recommendation**: [how to fix]

## Statistics
- Total findings: [count]
- Critical: [count] | High: [count] | Medium: [count] | Low: [count]

Next Steps

• For detailed vulnerability patterns and code examples, see references/vulnerability-patterns.md
• For secrets detection regex patterns, see references/secrets-patterns.md

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Source: eigent-ai/eigent — distributed by TomeVault.