BREAKING: Supabase JWT Authentication Issues - 401 Errors Identified
Supabase experiencing widespread 401 JWT rejection errors. Immediate workarounds and status inside.
Incident Summary
Supabase is currently experiencing authentication failures resulting in 401 Unauthorized errors related to JWT token validation. This affects applications relying on Supabase authentication across REST API calls and real-time connections.
What's Affected
Authorization: Bearer <token> headers failingHow to Check If You're Affected
1. API Requests: Check logs for 401 Unauthorized responses
2. Browser Console: Look for failed fetch requests with 401 status
3. Real-time: Supabase client connection state shows CHANNEL_ERROR
4. Verification: Test a simple authenticated request:
```bash
curl -H "Authorization: Bearer YOUR_TOKEN" https://your-project.supabase.co/rest/v1/users
```
Immediate Workarounds
Workaround 1: Implement Client-Side Token Refresh (Recommended)
```javascript const { data, error } = await supabase.auth.refreshSession(); if (error) console.log('Refresh failed'); // Retry request with new token ```Workaround 2: Use Service Role Key (Temporary Only)
Note: This bypasses RLS policies - use only for critical operations: ```javascript const supabaseAdmin = createClient(URL, SERVICE_ROLE_KEY); // Execute queries - but this exposes admin access ```Workaround 3: Implement Token Caching & Validation
Workaround 4: Switch to Anonymous Access (Limited)
If your application supports it: ```javascript const { data } = await supabase .from('public_table') .select('*') .limit(10); ```Alternative Solutions
1. Implement Custom Auth Endpoint: Create your own token validation service 2. Use Firebase Auth: Temporary migration for critical apps 3. GraphQL API: Some users report REST-specific issues - test GraphQL endpoints 4. Database Connection Pooling: Access PostgreSQL directly if available in your plan
Status Updates
I cannot confirm the exact root cause or ETA - this information should come from:
Recommended Actions
1. Monitor official channels for status updates 2. Implement exponential backoff retry logic 3. Alert your users if critical functionality is impacted 4. Document the incident for post-mortem 5. Review RLS policies once service restores to ensure rules are still intact
Next Steps
Last Updated: Monitor this space for updates. This report focuses on practical workarounds rather than speculative root causes.