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Security: aurelianware/privaseeAI

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SECURITY.md

Security Policy

🛡️ Security Statement

This AI-powered security monitoring application is designed with security as a fundamental principle. As a home security application, we take the protection of user data and system integrity seriously.

🔒 Security Measures Implemented

Code Security

  • ✅ Static Analysis: CodeQL security scanning on every commit
  • ✅ Dependency Scanning: Automated vulnerability detection
  • ✅ TypeScript: Strong typing prevents common security vulnerabilities
  • ✅ ESLint Security Rules: Comprehensive security linting
  • ✅ Regular Updates: Automated dependency updates via Dependabot

Application Security

  • ✅ Client-Side Processing: AI detection runs locally in browser
  • ✅ No Data Transmission: Video/images never sent to external servers (unless cloud sync explicitly enabled)
  • ✅ Secure Storage: IndexedDB with proper initialization and error handling
  • ✅ Permission-Based: Requires explicit camera permission from user
  • ✅ HTTPS Only: Secure communication protocols

Infrastructure Security

  • ✅ Azure Integration: Secure cloud storage with SAS token authentication
  • ✅ PWA Security: Service workers with secure caching policies
  • ✅ CSP Headers: Content Security Policy implementation
  • ✅ Input Validation: Proper sanitization of user inputs

🚨 Reporting Security Vulnerabilities

If you discover a security vulnerability in this application, please report it responsibly:

For Critical Security Issues

  • Email: [Create a private issue on GitHub or contact via profile]
  • Expected Response: Within 24 hours
  • Disclosure Timeline: 90 days coordinated disclosure

For Non-Critical Issues

  • GitHub Issues: Create a public issue with [SECURITY] tag
  • Pull Requests: Submit fixes with detailed security impact description

🔍 Security Features by Component

Security Posture (January 28, 2026)

✅ Zero Known Vulnerabilities - All npm packages are up to date with security patches

  • Regular automated dependency scanning via Dependabot
  • Weekly security audits in CI/CD pipeline
  • ESLint security rules enforced on all code changes

Camera Stream Component

  • Secure camera access with proper permission handling
  • No unauthorized data capture or transmission
  • Proper cleanup of video streams and resources

AI Detection System

  • Local processing only (TensorFlow.js in browser)
  • No model data sent to external services
  • Secure handling of detection confidence scores

Storage System

  • Encrypted local storage using IndexedDB
  • Secure blob handling for images/videos
  • Proper database initialization to prevent race conditions

Cloud Sync (Optional)

  • SAS token authentication (no permanent keys stored)
  • User-controlled opt-in for cloud features
  • Secure upload/download with error handling

📋 Security Checklist for Contributors

Before submitting code:

  • Run security linting: npm run lint
  • Check for vulnerabilities: npm audit
  • Test with TypeScript strict mode
  • Verify no sensitive data in logs
  • Ensure proper error handling
  • Test camera permission flows
  • Validate input sanitization

Current Security Status: ✅ 0 vulnerabilities (Last checked: January 28, 2026)

🔄 Security Update Process

  1. Automated Scanning: Weekly security scans via GitHub Actions
  2. Dependency Updates: Automated PRs via Dependabot
  3. Code Review: All changes reviewed for security implications
  4. Testing: Security-focused testing on each deployment

📚 Security Resources

🏆 Security Certifications & Standards

This project follows:

  • OWASP Secure Coding Practices
  • TypeScript Strict Mode for type safety
  • Modern Web Security Standards
  • GitHub Security Best Practices

Last Updated: January 28, 2026
Next Review: April 28, 2026
Current Vulnerability Status: ✅ Zero vulnerabilities found

There aren’t any published security advisories