If you discover a security vulnerability in Knytt, please report it by emailing [your-security-email@example.com].
Please do not open a public issue for security vulnerabilities.
- Description of the vulnerability
- Steps to reproduce the issue
- Potential impact
- Suggested fix (if any)
We will acknowledge your email within 48 hours and provide a detailed response within 7 days.
- Generate new secrets for production using
openssl rand -hex 32 - Store secrets in Railway/Vercel environment variables
- Use Railway's secret reference syntax:
${{Service.VARIABLE}} - Rotate secrets regularly (at least every 90 days)
- Use different secrets for each environment (dev, staging, prod)
- Commit
.env.productionor any file containing secrets to Git - Hardcode secrets in source code
- Share secrets via email, Slack, or other insecure channels
- Reuse secrets across multiple services
- Use default or example secrets in production
Before deploying to production, generate these secrets:
# Run the secret generation script
./scripts/generate_secrets.sh
# Or manually generate:
openssl rand -hex 32 # For JWT_SECRET_KEY
openssl rand -hex 32 # For SECRET_KEY
openssl rand -base64 32 # For DB passwords (if needed)-
DEBUG=falsein production -
APP_ENV=production -
LOG_LEVEL=INFOorWARNING(notDEBUG) - Strong, unique
JWT_SECRET_KEYgenerated - Strong, unique
SECRET_KEYgenerated - CORS configured with specific origins (not
*) - Rate limiting enabled:
RATE_LIMIT_ENABLED=true
- Strong database password (if self-managed)
- Database not publicly accessible (use Railway's private networking)
- SSL/TLS enabled for database connections
- Regular automated backups configured
- Backup encryption enabled (if using S3)
- Database audit logging enabled
- HTTPS/TLS enabled (automatic on Railway)
- CORS properly configured (specific origins only)
- Rate limiting implemented
- Input validation on all endpoints
- SQL injection protection (using SQLAlchemy ORM)
- Authentication required for sensitive endpoints
- JWT tokens with reasonable expiration times
- HTTPS/TLS enabled (automatic on Vercel)
- No sensitive data in client-side code
- Environment variables prefixed with
NEXT_PUBLIC_only for truly public data - XSS protection (React handles this by default)
- CSRF protection implemented where needed
- Content Security Policy headers configured
- Services in private network (Railway default)
- Minimal public exposure
- Regular security updates applied
- Monitoring and alerting configured
- Access logs enabled and monitored
✅ Authentication & Authorization
- JWT-based authentication
- Password hashing with industry-standard algorithms
- Token expiration and refresh mechanisms
- User session management
✅ Input Validation
- Pydantic models for request validation
- Type checking at runtime
- SQL injection prevention via SQLAlchemy ORM
✅ API Security
- CORS middleware configured
- Request rate limiting support
- GZip compression for responses
- Request logging and monitoring
✅ React Security
- XSS protection (automatic escaping)
- Safe rendering of user content
- Secure cookie handling
- HTTPS-only communication in production
✅ Authentication Flow
- Secure token storage
- Automatic token refresh
- Protected routes
- Session timeout handling
Mitigation: ✅ Implemented
- Using SQLAlchemy ORM (not raw SQL)
- Parameterized queries
- Input validation with Pydantic
Mitigation: ✅ Implemented
- React automatic escaping
- Content Security Policy headers (configure in production)
- Input sanitization
Mitigation:
- JWT tokens in headers (not cookies)
- SameSite cookie attributes
- TODO: Implement CSRF tokens for state-changing operations
Mitigation: ✅ Implemented
- Strong JWT secret keys
- Token expiration
- Secure password hashing
- Protected API routes
Mitigation: ✅ Implemented
- No sensitive data in logs
- Environment variables for secrets
- HTTPS/TLS encryption
- Secure error messages (no stack traces in production)
Mitigation: ✅ Implemented
- User ID verification on protected routes
- Resource ownership checks
- Role-based access control
Mitigation:
- Regular dependency updates
- GitHub Dependabot alerts enabled
- TODO: Implement automated dependency scanning
# ✅ Good
from passlib.context import CryptContext
pwd_context = CryptContext(schemes=["bcrypt"])
hashed = pwd_context.hash(password)
# ❌ Bad
import hashlib
hashed = hashlib.md5(password.encode()).hexdigest()# ✅ Good
from os import getenv
SECRET_KEY = getenv("SECRET_KEY")
if not SECRET_KEY:
raise ValueError("SECRET_KEY not set")
# ❌ Bad
SECRET_KEY = "hardcoded-secret-key"# ✅ Good (SQLAlchemy ORM)
user = db.query(User).filter(User.email == email).first()
# ❌ Bad (SQL injection risk)
query = f"SELECT * FROM users WHERE email = '{email}'"
db.execute(query)# ✅ Good (specific origins)
CORS_ORIGINS = [
"https://your-app.vercel.app",
"https://your-domain.com"
]
# ❌ Bad (allows all origins)
CORS_ORIGINS = ["*"]Configure Sentry for production:
# Railway environment variables
SENTRY_DSN=https://xxx@xxx.ingest.sentry.io/xxx
SENTRY_ENVIRONMENT=productionWhat to Log:
- Authentication attempts (success and failure)
- Authorization failures
- Input validation failures
- Database errors
- API errors
What NOT to Log:
- Passwords or password hashes
- JWT tokens
- Credit card numbers
- API keys or secrets
- Personal Identifiable Information (PII)
Set up alerts for:
- High error rates (> 1%)
- Failed authentication attempts (> 10 per minute)
- Unusual traffic patterns
- Database connection failures
- API response time degradation
-
Immediately:
- Identify and contain the breach
- Rotate all compromised credentials
- Block malicious IP addresses
-
Within 24 hours:
- Assess the impact and scope
- Notify affected users
- Document the incident
-
Within 1 week:
- Implement fixes
- Conduct security audit
- Update security policies
- Post-mortem analysis
If secrets are compromised:
# Generate new secrets
./scripts/generate_secrets.sh
# Update Railway environment variables
railway variables set JWT_SECRET_KEY=<new-secret>
railway variables set SECRET_KEY=<new-secret>
# Redeploy all services
railway up- Privacy policy implemented
- User consent mechanisms
- Data deletion capabilities
- Data export functionality
- Cookie consent banner
- Use PCI-compliant payment gateway (Stripe, PayPal)
- Never store credit card numbers
- Use tokenization for payment methods
- Implement strong encryption
- Screen reader support
- Keyboard navigation
- Color contrast compliance
- Alt text for images
- Review security logs in Sentry
- Check for failed authentication attempts
- Monitor API error rates
- Review and update dependencies
- Check for security advisories
- Audit user access permissions
- Review API usage patterns
- Rotate secrets and credentials
- Security audit of new features
- Penetration testing (if budget allows)
- Review and update security policies
- Comprehensive security audit
- Third-party security assessment
- Update disaster recovery plan
- Security training for team
- Dependency Scanning: GitHub Dependabot, Snyk
- SAST: Bandit (Python), ESLint (JavaScript)
- DAST: OWASP ZAP, Burp Suite
- Secrets Scanning: GitGuardian, TruffleHog
For security concerns or questions:
- Security Email: [your-security-email@example.com]
- General Contact: [your-email@example.com]
Last Updated: 2025-11-05 Version: 1.0