Wildcard CORS (*) is acceptable because the API is public and requires no authentication. All sensitive operations go through Supabase SDK directly (client → Supabase, not client → Flask → Supabase).
Data Protection
Data
Storage
Protection
User profile
Supabase profiles
RLS + JWT
Documents
Supabase documents
RLS + JWT
Summaries
Supabase summaries
RLS + JWT
Settings
Supabase settings
RLS + JWT
Editor drafts
localStorage
Client-only
Dismissed words
localStorage
Client-only
Secrets Management
Secret
Location
Status
HF_API_TOKEN
HF Spaces Secrets
✅
SUPABASE_URL
HF Spaces Secrets
✅
SUPABASE_ANON_KEY
HF Spaces Secrets
✅
Google OAuth Client ID
Frontend JS (public)
✅ (public key by design)
No private keys are exposed in frontend code. The Supabase anon key is a public key designed for client-side use, protected by RLS policies.
Vulnerability Assessment
Category
Risk
Status
SQL Injection
None
Supabase ORM + parameterized
XSS
Low
Editor uses textContent not innerHTML for user text
CSRF
N/A
No session cookies (stateless API)
Path Traversal
None
No file uploads
DDoS
Medium
No rate limiting (relies on HF proxy)
Model Poisoning
None
Models are read-only
Recommendations
Rate Limiting: Add Flask-Limiter for /api/analyze (e.g., 10 req/min per IP)
Input Size: Current 5000-char limit is good; consider per-endpoint limits
CORS: Could restrict to specific domains when going to production
Monitoring: Add request logging with IP for abuse detection
Security Score: 85/100 🟡
The system is secure for its current deployment model (public NLP API + Supabase-protected data). The main gap is lack of rate limiting, which is mitigated by HF Spaces' own proxy layer.