• Prefer OAuth2.1 with JWT bearer tokens for API auth. Scope endpoints under /api and require auth where applicable.
• Current implementation exposes a form login at POST /loginit that uses SHA-256 password hashing and sets httponly cookies for userEmail and userName. This is NOT a session and is insufficient for auth. Replace with:
  • Proper user table with salted password hashes using bcrypt or argon2.
  • Token-based auth (JWT) issued on login; store token in memory or secure cookie with HttpOnly, Secure, SameSite=Strict.
  • Implement logout by invalidating tokens (short TTL + rotation/blacklist if needed).
• Enforce authorization checks on protected routes; least-privilege role-based access.

• Validate and constrain all inputs with Pydantic schemas; reject unexpected fields.
• Database access uses parameterized queries via psycopg2 — continue to avoid string interpolation to prevent SQL injection.
• Encode/escape user-provided content rendered in templates or returned to the SPA to mitigate XSS.
• Always deploy behind HTTPS in production; terminate TLS at a reverse proxy (e.g., Nginx or Caddy) and forward to Uvicorn.
• Do not log sensitive data (passwords, tokens, full PII). Redact on logs/metrics.
• Configure CORS to only allow trusted origins for the SPA.
• If using cookies for auth, add CSRF protection on state-changing endpoints (double-submit or token per form) and set cookie flags: HttpOnly, Secure, SameSite=Strict.

• Keep backend dependencies in requirements.txt and update regularly. Run pip-audit in CI.
• For the frontend, run npm audit, use npm audit fix --force cautiously, and consider Snyk or Dependabot for both ecosystems.

• Docker Compose sets DB env vars. For production, use Docker secrets or a secrets manager (e.g., AWS Secrets Manager) instead of plain env vars.
• Never commit secrets. Keep a .env (local only) out of VCS via .gitignore.
• Rotate credentials periodically. Use distinct credentials per environment.

• Centralize structured logs; include request IDs and minimal PII.
• Enable access/error logs at the reverse proxy. Consider rate and anomaly detection on login endpoints.
• Add metrics (latency, error rates) and alerts. Consider tools like Prometheus/Grafana, ELK, or OpenTelemetry.

• Run automated security scans (dependency, container image, IaC). Suggested tools: pip-audit, npm audit, Trivy, Snyk.
• Conduct periodic penetration tests and threat modeling. Review code for security issues pre-release.

• Database is exposed on host port 5433 mapped to container 5432. Limit exposure to local network in production; prefer private networks and security groups.
• The runtime container in Dockerfile runs as non-root (appuser). Keep it that way; avoid mounting unnecessary volumes in production.
• Keep images minimal and updated. Scan images (Trivy) and pin base images.
• Expose only required ports (backend 8000). Place a reverse proxy in front with HTTPS, HSTS, and request size limits.

• Enforce CORS for known origins only.
• Add security headers via Starlette middleware: CSP, HSTS, X-Content-Type-Options, X-Frame-Options, Referrer-Policy.
• Implement rate limiting on login and sensitive endpoints (e.g., slowapi or proxy-level limits).
• Strong password policy and breach-check (k-Anonymity/HaveIBeenPwned).
• Account lockout/backoff on repeated failed logins.
• Short-lived tokens with refresh; rotate and revoke on logout.
• Comprehensive input validation and consistent error handling without leaking internals.

• FastAPI Security: OAuth2 with JWT
• OWASP ASVS and OWASP Top 10
• Docker Security and CIS Benchmarks

Following these practices will help secure the application and protect user data across the FastAPI backend, React SPA, and PostgreSQL services.