Is Your Lovable App Secure? A 12-Point Checklist
Lovable can build a working app surprisingly fast, but the same speed that ships features can leave security gaps that are invisible in preview and serious in production. This 12-point checklist names each risk, explains why it matters in Lovable-generated apps specifically, and tells you exactly how to verify it — no security degree required. Use this as your launch gate, and the env-secrets guide as your deep reference for secret management.
By Founder Name · Last verified: 2026-06-23
Why do Lovable apps have security gaps in the first place?
Lovable generates code that works — but AI code generation optimises for functionality, not security posture. The model produces a passing preview without necessarily enabling Row-Level Security, validating input server-side, or separating secret keys from client-visible code. An April 2026 audit of 50 Lovable apps found 89% had Row-Level Security disabled (Tomer Goldstein, DEV.to, April 2026). The pattern is structural, not a one-off mistake.
The root cause is that Lovable's scaffolding correctly wires up authentication but doesn't always follow through to per-row data isolation. A logged-in user can read another logged-in user's rows unless an RLS policy explicitly prevents it — and Lovable doesn't add those policies by default unless you ask for them in very specific terms.
What's on the 12-point Lovable security checklist?
Work through each item in order. The first four are the most critical — a Lovable app with RLS disabled and a service-role key in the client bundle is effectively an open database. Items 5–12 are important for a complete security posture. For detailed guidance on secret scanning and key rotation, see the full secret-management guide at /security/lovable-env-secrets-best-practices.
- RLS enabled: In Supabase → Table Editor, confirm Row-Level Security is ON for every table that holds user data.
- SELECT policy per table: Every user-data table needs a SELECT policy limiting reads to rows where user_id = auth.uid().
- INSERT / UPDATE policies: Add WITH CHECK (user_id = auth.uid()) for INSERT and a matching USING clause for UPDATE.
- No service_role key in client JS: Search your repo for 'service_role'. That key must never appear in client-side code or a public environment variable — it bypasses all RLS. (See the full secret-management guide for rotation steps.)
- Anon key scope: Confirm you are using the anon key (not the service-role key) in the Supabase client constructor on the client side. The anon key respects RLS and is safe to expose.
- No secrets committed to git: Run 'git log --all -p | grep -i secret'. Rotate any key that appears in history — full remediation steps are in the secret-management guide.
- Secrets not prefixed NEXT_PUBLIC_ (for secret-tier keys): NEXT_PUBLIC_ variables bundle into client JS. Service-role keys, database passwords, and third-party secret keys must not have this prefix.
- Auth redirect URLs locked down: In Supabase → Authentication → URL Configuration, allow only your production domain — remove localhost or *.lovable.app entries.
- Input validation on write paths: Any form that inserts user-supplied data should validate server-side (in an edge function or Supabase function), not only in the browser.
- Edge functions use service role only server-side: Admin operations need the service-role key via a server-side Supabase client — never passed through to the client response.
- No open CORS policy: Confirm the CORS policy on any custom API or edge function names specific allowed origins rather than '*'.
- Storage bucket policies: Confirm each Supabase Storage bucket has appropriate access policies — public buckets expose every uploaded file by URL.
| Check | Why it matters | How to verify |
|---|---|---|
| RLS enabled on all tables | Prevents cross-user data reads | Supabase → Table Editor → RLS toggle |
| SELECT policy (user_id = auth.uid()) | Rows are isolated per user | Supabase SQL editor: SELECT * FROM pg_policies |
| INSERT / UPDATE policies | Stops writes to other users' rows | Test with a second user account |
| No service_role key in client | Prevents full RLS bypass | grep -r 'service_role' src/ |
| Anon key in client constructor | Client key is safe to expose | Check createClient() call in codebase |
| No secrets in git history | Leaked keys persist after deletion | git log --all -p | grep -i secret |
| Secrets not NEXT_PUBLIC_ | Prevents bundle exposure | grep -r 'NEXT_PUBLIC_' .env |
| Auth redirect URLs locked | Prevents redirect hijacking | Supabase → Auth → URL Configuration |
| Server-side input validation | Prevents injection and abuse | Review edge function or server action |
| Edge functions use server-side client | Admin key never leaves server | Review edge function imports |
| Specific CORS origins | Prevents cross-origin data theft | Check API / edge function CORS headers |
| Storage bucket policies | Prevents public file exposure | Supabase → Storage → Bucket policies |
What happens if RLS is disabled?
With Row-Level Security off, every authenticated user — any user with a valid session token — can query every row in the table, regardless of who created it. A SELECT * FROM orders returns every order from every customer. In Supabase's default setup, the client sends the anon key with every request, and RLS is the only control standing between one user's data and another's. Disabling it removes that control entirely.
The practical impact depends on what the table contains. For a todo app, the exposure is embarrassing. For an app that stores financial data, medical information, or messages, the exposure is a reportable incident. The fix is to enable RLS and add the correct policies — but the fix must happen before any sensitive data is stored, because policies cannot retroactively restrict what has already been read.
How do I get a security expert to review my Lovable app?
A checklist finds obvious gaps, but a full security audit traces the actual data flow through your app — from the browser client through Supabase policies to edge functions and third-party APIs. It also catches what a checklist cannot: RLS logic errors, auth state gaps on specific routes, and edge functions that leak data in error responses. Book a call to scope a review.
Frequently asked questions
Why can Lovable users see each other's data?
What's the difference between the anon key and the service_role key?
How do I know if my Lovable app is secure?
Does Lovable enable RLS automatically?
Can I fix RLS issues without breaking my app?
What does 'no secrets in git history' actually mean?
Is the NEXT_PUBLIC_ prefix always dangerous for env variables?
Should I run this checklist on every new Lovable project?
How do I get a professional review if I'm not sure?
App down or leaking data? Get an expert on it within 24–48h.
Book a free 30-minute audit call. We'll diagnose what's wrong and tell you exactly what it costs to fix.