andrei/maternal-app
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Author SHA1 Message Date
Andrei
f640e091ce Add prompt injection protection for AI endpoints
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Implemented comprehensive security against prompt injection attacks:

**Detection Patterns:**
- System prompt manipulation (ignore/disregard/forget instructions)
- Role manipulation (pretend to be, act as)
- Data exfiltration (show system prompt, list users)
- Command injection (execute code, run command)
- Jailbreak attempts (DAN mode, developer mode, admin mode)

**Input Validation:**
- Maximum length: 2,000 characters
- Maximum line length: 500 characters
- Maximum repeated characters: 20 consecutive
- Special character ratio limit: 30%
- HTML/JavaScript injection blocking

**Sanitization:**
- HTML tag removal
- Zero-width character stripping
- Control character removal
- Whitespace normalization

**Rate Limiting:**
- 5 suspicious attempts per minute per user
- Automatic clearing on successful validation
- Per-user tracking with session storage

**Context Awareness:**
- Parenting keyword validation
- Domain-appropriate scope checking
- Lenient validation for short prompts

**Implementation:**
- lib/security/promptSecurity.ts - Core validation logic
- app/api/ai/chat/route.ts - Integrated validation
- scripts/test-prompt-injection.mjs - 19 test cases (all passing)
- lib/security/README.md - Documentation

**Test Coverage:**
✅ Valid parenting questions (2 tests)
✅ System manipulation attempts (4 tests)
✅ Role manipulation (1 test)
✅ Data exfiltration (3 tests)
✅ Command injection (2 tests)
✅ Jailbreak techniques (2 tests)
✅ Length attacks (2 tests)
✅ Character encoding attacks (2 tests)
✅ Edge cases (1 test)

All suspicious attempts are logged with user ID, reason, risk level,
and timestamp for security monitoring.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-01 20:15:11 +00:00
Andrei
8e3567e3d6 Add rate limiting to API endpoints
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Implemented comprehensive rate limiting for API security:

- Created custom Next.js-native rate limiter using in-memory store
- Added 5 rate limit configurations:
  - authLimiter: 5 requests/15min for login/register/password-reset
  - aiLimiter: 10 requests/hour for AI assistant queries
  - trackingLimiter: 30 requests/min for activity tracking
  - readLimiter: 100 requests/min for read-only endpoints
  - sensitiveLimiter: 3 requests/hour for sensitive operations

- Applied rate limiting to endpoints:
  - /api/auth/login, /api/auth/register, /api/auth/password-reset
  - /api/ai/chat
  - /api/tracking/feeding (GET and POST)

- Rate limit responses include standard headers:
  - RateLimit-Limit, RateLimit-Remaining, RateLimit-Reset
  - Retry-After header with seconds until reset

- Tested with 7 sequential requests - first 5 passed, last 2 blocked with 429

Note: Current implementation uses in-memory store. For production with
multiple instances, migrate to Redis-backed storage for distributed
rate limiting.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-01 20:08:28 +00:00