5 Security Issues We Find in Every Lovable App

Lovable is brilliant for getting a working prototype up fast. The UI is polished, the Supabase integration works out of the box, and you can go from idea to deployed app in an afternoon. (Wondering how it stacks up against alternatives? See our comparison of all AI coding tools.)

But when our developers audit Lovable-generated codebases, the same security issues come up every single time. Here are the five we see most — and what to do about them.

1. Row Level Security is disabled or misconfigured

Lovable sets up Supabase tables for you, but RLS policies are often either missing entirely or configured too permissively. This means any authenticated user can potentially read or modify any other user's data.

What to check: Open your Supabase dashboard, go to each table, and verify that RLS is enabled with proper policies. If you see USING (true) on a select policy, that's a red flag — it means anyone can read everything.

The fix: Write explicit RLS policies that check auth.uid() against an owner column on each table. Every table that stores user data needs a policy. For a comprehensive walkthrough of RLS and 14 other security checks, see our vibe coding security checklist.

2. API keys in client-side code

Lovable sometimes generates code that puts sensitive API keys directly into React components or environment variables prefixed with NEXT_PUBLIC_ or VITE_. These are visible to anyone who opens browser dev tools.

What to check: Search your codebase for any API keys, tokens, or secrets that appear in files under src/ or any file that runs in the browser. If you're using Vite, anything in a .env file starting with VITE_ is exposed to the client.

The fix: Move sensitive operations to server-side API routes or edge functions. Only your Supabase anon key should be client-side — everything else belongs on the server.

3. No input validation on forms

Lovable generates forms that look great but often send user input straight to the database without validation or sanitisation. This opens the door to injection attacks, oversized payloads, and garbage data.

What to check: Follow the data flow from any form submission. Is the input validated before it hits your database? Are there length limits? Is HTML/script content stripped?

The fix: Add Zod schemas (or similar) for both client-side and server-side validation. Never trust client-side validation alone — it can be bypassed.

4. No rate limiting on API endpoints

Every API route Lovable generates accepts unlimited requests. There's nothing stopping someone from hammering your endpoints — whether that's a bot submitting thousands of form entries or an attacker brute-forcing passwords.

The fix: Add rate limiting to every public-facing endpoint. Upstash Redis with a sliding window algorithm is a solid choice for serverless apps. Limit by IP and, where relevant, by user identity.

5. Authentication edge cases are unhandled

Lovable's auth flows typically handle the happy path — sign up, log in, done. But edge cases like expired sessions, concurrent logins, password reset token reuse, and OAuth callback validation are often missing or broken.

What to check: Try using your app with an expired session. Try the password reset flow twice with the same link. Try accessing authenticated pages directly via URL without logging in.

The fix: Implement proper middleware that checks auth state on every protected route. Handle token refresh, session expiry, and redirect flows explicitly.

The pattern

None of these are unique to Lovable. They're the predictable gaps that appear when code is generated quickly without a security review pass. The app works — it just isn't ready for real users with real data. If you're planning to take your Lovable app live, our guide on deploying Lovable apps to production covers the full checklist.

That's exactly what we fix for Lovable apps. If you want to know where your Lovable app stands, request a free security audit and we'll send you a 5-point snapshot within 48 hours.