We actively support the following versions with security updates:
| Version | Supported |
|---|---|
| 1.x.x | ✅ |
| < 1.0 | ❌ |
We take security vulnerabilities seriously. If you discover a security vulnerability, please follow these steps:
Instead, please report security vulnerabilities privately by:
- Emailing us at [harmeetsinghfbd@gmail.com]
- Using GitHub's private vulnerability reporting feature
- Description of the vulnerability
- Steps to reproduce the issue
- Potential impact
- Any suggested fixes (if available)
- Initial Response: Within 48 hours
- Status Update: Within 7 days
- Fix Timeline: Varies based on severity (1-30 days)
This project uses Codacy for automated security analysis and code quality monitoring:
- Static Analysis: Automated scanning for security vulnerabilities
- Code Quality: Continuous monitoring of code patterns and potential issues
- Dependency Scanning: Regular checks for known vulnerabilities in dependencies
- Security Hotspots: Identification of security-sensitive code areas
Our codebase follows these security practices:
- JWT-based authentication with secure token handling
- Role-based access control (RBAC)
- Input validation on all endpoints
- Rate limiting to prevent abuse
- Environment variables for sensitive configuration
- No hardcoded secrets or API keys
- Secure password hashing (bcrypt)
- SQL injection prevention via SQLAlchemy ORM
- CORS properly configured
- Security headers implemented
- Request validation with Pydantic models
- Proper error handling without information leakage
- Docker containers with non-root users
- Regular dependency updates
- Secure database connections
- TLS/SSL encryption in production
We regularly monitor and update dependencies to address security vulnerabilities:
# Check for known vulnerabilities
pip-audit
# Update dependencies
pip install --upgrade -r requirements.txtThe application implements the following security headers:
X-Content-Type-Options: nosniffX-Frame-Options: DENYX-XSS-Protection: 1; mode=blockStrict-Transport-Security: max-age=31536000; includeSubDomainsContent-Security-Policy: default-src 'self'
- Use
.envfiles for local configuration - Never commit sensitive data to version control
- Use different API keys for development and production
- Environment variables managed through secure deployment platforms
- Regular security audits and penetration testing
- Monitoring and alerting for suspicious activities
- Backup and disaster recovery procedures
Before deploying to production, ensure:
- All dependencies are up to date
- No hardcoded secrets in code
- Environment variables properly configured
- HTTPS enabled with valid certificates
- Database connections encrypted
- Rate limiting configured
- Input validation implemented
- Error handling doesn't leak sensitive information
- Security headers configured
- Logging and monitoring in place
In addition to Codacy, we recommend using:
- GitHub Security Advisories: Automated vulnerability alerts
- Snyk: Dependency vulnerability scanning
- OWASP ZAP: Web application security testing
- Bandit: Python security linter
We appreciate security researchers and the community for helping keep our project secure. Responsible disclosure is encouraged and will be acknowledged in our security advisories.