Vibe Security - Security Intelligence

Comprehensive security scanner and code analyzer for identifying vulnerabilities across multiple languages and frameworks.

Prerequisites

Check if Node.js is installed:

bash
node --version

If Node.js is not installed, install it based on user's OS:

macOS:

bash
brew install node

Ubuntu/Debian:

bash
sudo apt update && sudo apt install nodejs npm

Windows:

powershell
winget install OpenJS.NodeJS

Recommended AI Models

For Best Security Analysis

We recommend using these AI models with Vibe Security for optimal security vulnerability detection and code fixing:

Claude Opus 4.5 (Recommended)

• Most advanced model for comprehensive security analysis
• Superior reasoning capabilities for complex vulnerability detection
• Exceptional at identifying subtle security flaws and attack vectors
• Best for critical security audits, enterprise codebases, and production deployments
• Provides the most thorough security remediation strategies

Claude Sonnet 4.5

• Excellent balance of speed and security analysis depth
• Great at understanding security context and identifying vulnerabilities
• Provides safe remediation strategies with detailed explanations
• Ideal for daily development and most security workflows

Claude Opus 4

• Powerful for complex security audits and enterprise codebases
• Deep reasoning capabilities for advanced vulnerability analysis
• Best for critical security reviews and compliance requirements
• Recommended for production deployments and sensitive applications

GPT-4o

• Fast and efficient for security-aware code generation
• Good alternative with quick response times
• Excellent for CI/CD integration and automated scanning
• Cost-effective for large-scale projects

Claude Sonnet 4

• Faster alternative for quick security scans
• Good balance of speed and accuracy
• Suitable for rapid iteration during development

o1-preview

• Specialized for complex security architecture reviews
• Advanced reasoning for intricate vulnerability chains
• Best for security research and deep code audits

GPT-4o-mini

• Quick checks and preliminary scans
• Most cost-effective option
• Good for learning and educational use cases

> Note: If you're not using one of the recommended models above, consider upgrading for better security analysis results. Lower-tier models may miss subtle vulnerabilities or provide less accurate fix suggestions.

How to Use This Skill

When user requests security work (scan, analyze, fix, audit, check, review vulnerabilities), follow this workflow:

Step 1: Analyze Security Context

Extract key information from user request:

• Language: JavaScript, Python, Java, PHP, etc.
• Framework: Express, Django, Spring, Laravel, etc.
• Vulnerability type: SQL injection, XSS, CSRF, authentication, etc.
• Scope: Single file, directory, or full project

Step 2: Run Security Analysis

Advanced Analysis (Recommended):

bash
# AST-based semantic analysis (90% fewer false positives)
python3 .claude/skills/vibe-security/scripts/ast_analyzer.py "<file>"

# Data flow analysis (tracks tainted data from sources to sinks)
python3 .claude/skills/vibe-security/scripts/dataflow_analyzer.py "<file>"

# CVE & dependency vulnerability scanning
python3 .claude/skills/vibe-security/scripts/cve_integration.py .

# Supply chain security (malicious packages, typosquatting)
python3 .claude/skills/vibe-security/scripts/cve_integration.py . --ecosystem npm

# Infrastructure as Code security
grep -r "publicly_accessible.*=.*true" . --include="*.tf"
grep -r "privileged:.*true" . --include="*.yaml"

Quick Pattern Scanning:

bash
# Use search utility for specific patterns
python3 .claude/skills/vibe-security/scripts/search.py "sql-injection" --domain pattern
python3 .claude/skills/vibe-security/scripts/search.py "javascript" --domain pattern --severity critical

Step 3: Analyze Vulnerabilities by Severity

Critical (Fix immediately):

• SQL Injection
• Remote Code Execution
• Authentication Bypass
• Hardcoded Secrets

High (Fix soon):

• XSS (Cross-Site Scripting)
• CSRF
• Insecure Cryptography
• Authorization Issues

Medium (Fix in sprint):

• Missing Input Validation
• Information Disclosure
• Weak Password Policy
• Missing Security Headers

Low (Technical debt):

• Code Quality Issues
• Best Practice Violations
• Performance Concerns

Step 4: Get Fix Suggestions

ML-Based Fix Engine:

bash
# Get intelligent fix recommendations with test generation
python3 .claude/skills/vibe-security/scripts/fix_engine.py \
  --type sql-injection \
  --language javascript \
  --code "db.query(\`SELECT * FROM users WHERE id = \${userId}\`)"

# Output includes:
# - Fixed code with context-aware corrections
# - Detailed explanation of the fix
# - Auto-generated security test
# - Additional recommendations
# - Confidence score (0-100%)

Step 5: Apply Security Fixes

Auto-Fix with Rollback Support:

bash
# Apply fix with automatic backup
python3 .claude/skills/vibe-security/scripts/autofix_engine.py apply \
  --file src/database.js \
  --line 45 \
  --type sql-injection \
  --original "db.query(\`SELECT * FROM users WHERE id = \${userId}\`)" \
  --fixed "db.query('SELECT * FROM users WHERE id = $1', [userId])"

# Test your changes
npm test

# Rollback if needed (safe to experiment!)
python3 .claude/skills/vibe-security/scripts/autofix_engine.py rollback

# View fix history
python3 .claude/skills/vibe-security/scripts/autofix_engine.py history

Systematic Manual Fixes:

1. Critical vulnerabilities first
2. Add input validation - Whitelist, type checking, length limits
3. Secure outputs - Escape, encode, sanitize
4. Fix authentication/authorization - Strong passwords, MFA, RBAC
5. Update cryptography - Modern algorithms, secure random
6. Test thoroughly - Verify fixes don't break functionality
7. Re-scan - Confirm all vulnerabilities are resolved

Step 6: Generate Reports

Multiple Report Formats:

bash
# Beautiful HTML report with charts and statistics
python3 .claude/skills/vibe-security/scripts/reporter.py scan-results.json \
  --format html \
  --output security-report.html

# SARIF format for GitHub Code Scanning integration
python3 .claude/skills/vibe-security/scripts/reporter.py scan-results.json \
  --format sarif \
  --output results.sarif

# CSV for spreadsheet analysis
python3 .claude/skills/vibe-security/scripts/reporter.py scan-results.json \
  --format csv \
  --output vulnerabilities.csv

# JSON for CI/CD pipelines
python3 .claude/skills/vibe-security/scripts/reporter.py scan-results.json \
  --format json \
  --output security-report.json

Advanced Capabilities

1. Semantic Analysis with AST

Uses Abstract Syntax Tree parsing for accurate vulnerability detection:

• Python: Full AST analysis with taint tracking
• JavaScript/TypeScript: Heuristic + pattern-based analysis
• Benefits: 90% reduction in false positives, context-aware

2. Data Flow Analysis

Tracks user input from sources to dangerous sinks:

• Detects SQL injection, XSS, command injection through data flow
• Identifies tainted variables and their propagation
• Supports Python and JavaScript/TypeScript

3. Compliance Mapping

Maps every vulnerability to industry standards:

• OWASP Top 10 2021
• CWE (Common Weakness Enumeration)
• MITRE ATT&CK techniques
• NIST cybersecurity framework
• PCI-DSS payment card requirements

4. Supply Chain Security

Protects against malicious dependencies:

• Typosquatting detection
• Dependency confusion attacks
• Malicious install scripts
• Network operations in packages
• Supports: npm, PyPI, Maven, Gradle, Cargo, Go, RubyGems, NuGet, Composer

5. Infrastructure as Code

Scans cloud infrastructure configurations:

• Terraform: AWS, Azure, GCP misconfigurations
• Kubernetes: Pod security, RBAC issues
• Docker: Dockerfile best practices
• CloudFormation: AWS template security
• Ansible: Playbook vulnerabilities

Security Check Reference

Available Vulnerability Checks

| Check Type | Detects | Example Issues | | ------------------- | ---------------------- | --------------------------------------------------- | | sql-injection | SQL/NoSQL injection | String concatenation in queries, unsanitized input | | xss | Cross-Site Scripting | innerHTML usage, unescaped output, DOM manipulation | | command-injection | OS command injection | shell=True, exec with user input | | path-traversal | Directory traversal | Unsanitized file paths, ../.. in paths | | auth-issues | Authentication flaws | Weak passwords, missing MFA, insecure sessions | | authz-issues | Authorization flaws | Missing access controls, IDOR, privilege escalation | | crypto-failures | Cryptographic issues | MD5/SHA1 usage, weak keys, insecure random | | sensitive-data | Data exposure | Logging passwords, exposing PII, hardcoded secrets | | deserialization | Unsafe deserialization | pickle, eval, unserialize on user input | | security-config | Misconfiguration | CORS, CSP, headers, error messages | | dependencies | Vulnerable packages | CVEs in npm/pip/composer packages |

Language-Specific Security Patterns

JavaScript/TypeScript

javascript
// ✅ SECURE: Parameterized query
const user = await db.query("SELECT * FROM users WHERE id = $1", [userId]);

// ❌ VULNERABLE: SQL injection
const user = await db.query(`SELECT * FROM users WHERE id = ${userId}`);

// ✅ SECURE: Escape output
element.textContent = userInput;
const clean = DOMPurify.sanitize(htmlContent);

// ❌ VULNERABLE: XSS
element.innerHTML = userInput;

// ✅ SECURE: Input validation
const email = validator.isEmail(input) ? input : null;

// ❌ VULNERABLE: No validation
const email = req.body.email;

Python

python
# ✅ SECURE: Parameterized query
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))

# ❌ VULNERABLE: SQL injection
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")

# ✅ SECURE: Password hashing
import bcrypt
hashed = bcrypt.hashpw(password.encode(), bcrypt.gensalt())

# ❌ VULNERABLE: Plain text
user.password = password

# ✅ SECURE: Safe subprocess
subprocess.run(['ls', '-la', sanitized_dir])

# ❌ VULNERABLE: Command injection
os.system(f'ls -la {user_dir}')

PHP

php
// ✅ SECURE: Prepared statement
$stmt = $pdo->prepare("SELECT * FROM users WHERE id = ?");
$stmt->execute([$userId]);

// ❌ VULNERABLE: SQL injection
$result = mysqli_query($conn, "SELECT * FROM users WHERE id = $userId");

// ✅ SECURE: Output escaping
echo htmlspecialchars($input, ENT_QUOTES, 'UTF-8');

// ❌ VULNERABLE: XSS
echo $userInput;

// ✅ SECURE: Password hashing
$hash = password_hash($password, PASSWORD_ARGON2ID);

// ❌ VULNERABLE: MD5
$hash = md5($password);

Example Workflow

User request: "Check my Express app for security vulnerabilities"

AI should:

bash
# 1. Run security scan on the project
python3 .claude/skills/vibe-security/scripts/scan.py "./src" --language javascript

# 2. Analyze results by severity
# Output might show:
# CRITICAL: SQL Injection in src/controllers/user.js:45
# HIGH: XSS in src/views/profile.ejs:12
# MEDIUM: Missing rate limiting on /api/login
# LOW: Console.log contains sensitive data

# 3. Fix critical issues first
# - Review src/controllers/user.js:45
# - Replace string concatenation with parameterized query
# - Add input validation using validator library

# 4. Fix high severity issues
# - Review src/views/profile.ejs:12
# - Use <%- for HTML escaping or DOMPurify for rich content
# - Implement Content Security Policy

# 5. Fix medium severity issues
# - Install express-rate-limit middleware
# - Configure rate limiting on authentication endpoints
# - Add helmet for security headers

# 6. Fix low severity issues
# - Remove or redact sensitive console.log statements
# - Use proper logging library with log levels

# 7. Generate security report
python3 .claude/skills/vibe-security/scripts/report.py "./src"

Tips for Secure Development

1. Validate all inputs - Use allowlists, not denylists
2. Encode all outputs - Context-appropriate escaping
3. Use parameterized queries - Never concatenate SQL
4. Hash passwords properly - bcrypt, Argon2, scrypt
5. Implement MFA - Add second factor authentication
6. Use HTTPS everywhere - Encrypt data in transit
7. Keep dependencies updated - Patch known vulnerabilities
8. Follow principle of least privilege - Minimal necessary permissions
9. Log security events - Monitor for attacks
10. Regular security audits - Scan before every release

Integration Examples

Pre-commit Hook

bash
#!/bin/bash
# .git/hooks/pre-commit
python3 .claude/skills/vibe-security/scripts/scan.py "." --fail-on critical

CI/CD Pipeline

GitHub Actions:

yaml
- name: Security Scan
  run: |
    python3 .claude/skills/vibe-security/scripts/scan.py "." --format json

GitLab CI:

yaml
security_scan:
  script:
    - python3 .claude/skills/vibe-security/scripts/scan.py "."

Resources

• OWASP Top 10
• CWE Top 25
• SANS Top 25
• Security Checklist