This document provides a comprehensive security audit of the Connex application, covering all implemented features and potential vulnerabilities.
- ✅ JWT-based authentication with secure token handling
- ✅ Password hashing using bcrypt with appropriate cost factor
- ✅ Role-based access control (RBAC) ready
- ✅ Secure session management
- ✅ Token expiration and refresh mechanisms
- ✅ Request validation using struct tags and custom validation
- ✅ SQL injection protection through parameterized queries (sqlx)
- ✅ Input sanitization for user-provided data
- ✅ Content-Type validation for API endpoints
- ✅ Redis-based rate limiting with configurable limits
- ✅ Per-IP rate limiting for general endpoints
- ✅ Stricter rate limiting for authentication endpoints
- ✅ Rate limit headers in responses
- ✅ Graceful degradation when Redis is unavailable
- ✅ Configurable CORS policy with secure defaults
- ✅ Security headers middleware
- ✅ Content Security Policy (CSP) ready
- ✅ XSS protection headers
- ✅ Parameterized queries preventing SQL injection
- ✅ Connection pooling with limits
- ✅ Database connection encryption (SSL/TLS)
- ✅ Prepared statements usage
- ✅ Cache key sanitization using MD5 hashing
- ✅ Cache invalidation mechanisms
- ✅ No sensitive data in cache keys
- ✅ Cache bypass for authenticated endpoints
- ✅ Prometheus metrics with secure defaults
- ✅ OpenTelemetry tracing with configurable sampling
- ✅ Structured logging without sensitive data exposure
- ✅ Health check endpoints for monitoring
- ✅ Centralized error handling
- ✅ No sensitive information in error responses
- ✅ Consistent error response format
- ✅ Proper HTTP status codes
Issue: Metrics endpoint /metrics was publicly accessible
Fix: Added authentication middleware for metrics endpoint in production
Status: ✅ Fixed
Issue: OpenTelemetry traces could contain sensitive data Fix: Implemented trace sampling and sensitive data filtering Status: ✅ Fixed
Issue: Rate limiting could be bypassed with certain headers Fix: Improved IP detection logic considering proxies Status: ✅ Fixed
Issue: Cache keys could be manipulated Fix: Implemented MD5 hashing for cache keys Status: ✅ Fixed
- Use HTTPS/TLS in production
- Implement proper secrets management (HashiCorp Vault, AWS Secrets Manager)
- Enable security headers (HSTS, CSP, etc.)
- Configure proper CORS origins
- Use strong JWT secrets (32+ characters)
- Enable database SSL/TLS
- Set up security monitoring for failed login attempts
- Monitor for unusual traffic patterns
- Alert on rate limit violations
- Monitor for SQL injection attempts
- Set up log aggregation and analysis
- Implement API key authentication for external services
- Add request/response logging for audit trails
- Implement account lockout after failed attempts
- Add two-factor authentication (2FA)
- Implement password complexity requirements
- Use container security scanning
- Implement network segmentation
- Regular security updates and patches
- Backup encryption
- Disaster recovery procedures
- Unit tests for security functions
- Integration tests for authentication flows
- Penetration testing scripts
- Security linting (gosec, nancy)
- Authentication bypass attempts
- SQL injection testing
- XSS payload testing
- Rate limiting bypass attempts
- Authorization testing
- Data minimization
- Right to be forgotten
- Data portability
- Privacy by design
- Access controls
- Audit logging
- Change management
- Incident response
- Detection: Automated monitoring and alerting
- Assessment: Impact analysis and severity classification
- Containment: Immediate response to limit damage
- Eradication: Root cause analysis and fix
- Recovery: System restoration and verification
- Lessons Learned: Documentation and process improvement
- Security Team: security@yourcompany.com
- Emergency Contact: +1-XXX-XXX-XXXX
This document should be updated:
- After each security audit
- When new features are added
- After security incidents
- Quarterly review