Building Secure Apps on Qomp: Best Practices
Threat model & goals
- Identify assets: user data, keys, messages, tokens, backups.
- Adversaries: malicious users, compromised servers, network attackers, supply-chain threats.
- Security goals: confidentiality, integrity, availability, privacy, revocation.
Secure architecture
- Least privilege: grant minimal permissions to services and modules.
- Separation of concerns: isolate authentication, storage, and business logic into separate components or processes.
- Defense in depth: combine network, host, application, and data-layer protections.
Authentication & authorization
- Use strong, standard auth: OAuth2/OpenID Connect or similar token-based flows; prefer proven libraries.
- Short-lived tokens + refresh tokens: limit exposure of stolen tokens.
- Role-based access control (RBAC): enforce fine-grained permissions; validate on every request.
- Multi-factor authentication (MFA): require for high-privilege accounts and admin panels.
Key management
- Use a dedicated KMS/HSM: never hardcode keys in source or config.
- Rotate keys regularly: automate rotation and ensure backward compatibility.
- Limit key access: only services that need keys can access them; log uses.
Encryption
- Encrypt in transit: TLS 1.3 with strong ciphers.
- Encrypt at rest: AES-256 or equivalent for databases and backups.
- End-to-end encryption for sensitive payloads: if Qomp supports peer-to-peer messaging, encrypt client-side so servers cannot read contents.
- Protect metadata where possible: consider padding, batching, or proxying to reduce leakage.
Data handling & privacy
- Minimize data collection: store only what is necessary.
- Anonymize or pseudonymize: remove direct identifiers when possible.
- Retention policy: delete or archive data according to a schedule and legal needs.
- Audit logs: keep tamper-evident logs for security events, but redact sensitive data.
Secure coding practices
- Use vetted libraries: avoid unmaintained or obscure dependencies.
- Input validation & output encoding: prevent injection (SQL, NoSQL, command), XSS, and deserialization attacks.
- Avoid unsafe deserialization: prefer explicit schemas and safe parsers.
- Static & dynamic analysis: run linters, SAST, and DAST in CI/CD.
Dependency and supply-chain security
- Pin dependencies: use lockfiles and verify signatures where available.
- Regular vulnerability scanning: integrate Dependabot/OSS scanners and SCA tools.
- Build reproducible artifacts: sign releases and CI artifacts.
Runtime protections
- Use container least-privilege: non-root containers, resource limits, read-only filesystems.
- Runtime monitoring & EDR: detect anomalous behavior and respond quickly.
- Process isolation & sandboxing: limit blast radius of compromised components.
Network security
- Zero-trust networking: mutual TLS, service-to-service auth, and strict ingress/egress rules.
- Rate limiting & throttling: protect against abuse and DoS.
- WAF & CDN: filter malicious traffic and offload common attacks.
Testing & verification
- Threat modeling: perform regularly and update with design changes.
- Red team / penetration testing: periodic external assessments.
- Fuzzing: target parsers and protocol implementations.
- CI security gates: fail builds for critical findings.
Incident response & recovery
- Runbooks: documented playbooks for common incidents (key compromise, data breach).
- Backups & tested restores: ensure integrity and timely recovery.
- Post-incident review: root cause analysis and remediation tracking.
Developer & operational hygiene
- Secrets scanning: block commits with secrets; use ephemeral creds in CI.
- Least-privilege admin tools: gated access for production and sensitive ops.
- Training: secure coding and threat awareness for engineers.
Example checklist (quick)
- TLS 1.3 enforced? ✅
- Client-side E2E for messages? ✅/Consider
- KMS for keys? ✅
- RBAC + MFA? ✅
- Dependency scanning in CI? ✅
- Regular pentests & audits? ✅
Final note
Adopt iterative improvement: implement core protections first (auth, encryption, key management), then expand to monitoring, hardening, and testing.