Is My Lovable App Secure? A Complete Security Checklist
You just built a SaaS app with Lovable in 20 minutes. It looks great. It works. You're ready to share it with the world.
But here's the uncomfortable question: is it actually secure?
Lovable (and similar tools like Bolt, Base44, and v0) are incredible for speed. They generate full-stack apps from natural language prompts. But AI doesn't think about security the way a senior engineer does. It optimises for "working" — not "safe."
We scanned 50+ Lovable-generated apps with Proveably's 20+ security tools. Here's what we found — and the checklist you need to fix it.
The Problem: AI Writes Insecure Code by Default
AI code generators prioritise getting your app functional. Security is an afterthought — if it's a thought at all. In our testing:
- 78% of Lovable apps had at least one critical vulnerability
- 92% were missing essential security headers
- 65% had API keys or secrets exposed in client-side code
- 40% had Supabase projects with Row Level Security disabled
These aren't theoretical risks. These are the exact vulnerabilities attackers scan for.
The 15-Point Security Checklist
1. Check for Exposed API Keys
Lovable often embeds Supabase anon keys, Stripe publishable keys, and other credentials directly in your JavaScript bundle.
How to check: View your app's page source (Ctrl+U) and search for key, secret, token, or supabase.
Fix: Move sensitive keys to environment variables. Use Supabase's server-side client for operations that need the service_role key.
2. Enable Supabase Row Level Security (RLS)
This is the #1 issue we find. Lovable creates Supabase tables but often skips RLS policies. Without RLS, anyone with your anon key can read and write every row in your database.
How to check: Go to your Supabase dashboard → Table Editor → click on each table → check if RLS is enabled.
Fix:
ALTER TABLE your_table ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Users can only see their own data"
ON your_table FOR SELECT
USING (auth.uid() = user_id);
3. Add Security Headers
AI-generated apps almost never set security headers. Missing headers make your app vulnerable to clickjacking, XSS, and MIME-type attacks.
Required headers:
X-Content-Type-Options: nosniffX-Frame-Options: DENYStrict-Transport-Security: max-age=31536000; includeSubDomainsContent-Security-Policy(at minimum, restrict script sources)Referrer-Policy: strict-origin-when-cross-origin
Fix: If you're on Vercel, add these in vercel.json. On Netlify, use _headers. See our guide on security headers every web app needs.
4. Check for Cross-Site Scripting (XSS)
If your app accepts user input (forms, comments, profiles), AI-generated code often fails to sanitise it properly.
How to check: Try entering <script>alert('xss')</script> in any text field and see if it executes.
Fix: Use React's built-in JSX escaping (it's on by default), but watch for dangerouslySetInnerHTML. Never render user input as raw HTML.
5. Verify HTTPS Everywhere
Most hosting platforms (Vercel, Netlify) handle this automatically, but double-check:
- Your app forces HTTPS (no HTTP fallback)
- Your API calls use
https://nothttp:// - Mixed content warnings are resolved
6. Check Authentication Flows
AI-generated auth often has subtle bugs:
- Can users access protected pages without logging in?
- Are JWT tokens stored securely (httpOnly cookies, not localStorage)?
- Does the logout actually invalidate the session?
7. Validate Server-Side, Not Just Client-Side
Lovable typically adds client-side form validation. But attackers bypass the browser entirely. Every input that reaches your backend (Supabase Edge Functions, API routes) must be validated again.
8. Audit Supabase Edge Functions
If Lovable generated Edge Functions for you, check that they:
- Validate the JWT token on every request
- Don't expose admin-level operations to regular users
- Rate-limit sensitive operations (password resets, payments)
9. Check for Open Redirects
If your app has any URL parameter like ?redirect= or ?next=, make sure it only allows redirects to your own domain.
10. Review Third-Party Dependencies
Lovable pulls in npm packages automatically. Some may be outdated or have known vulnerabilities. Run npm audit on your codebase.
11. Check for Information Disclosure
Does your app expose:
- Stack traces or error details to end users?
.envfiles accessible via URL?- Source maps in production?
12. Verify CORS Configuration
If your app makes API calls, check that CORS is configured to only accept requests from your domain — not * (any origin).
13. Add Rate Limiting
AI-generated apps rarely include rate limiting. Without it, attackers can brute-force login forms, spam your API, or rack up your Supabase bill.
14. Check for SQL Injection
If you're using raw SQL queries (even in Supabase), make sure all user input is parameterised. Never concatenate user input into query strings.
15. Test Your App's Security Score
The fastest way to check all of the above: paste your URL into Proveably and run a free scan. We check all 15 of these issues (and 50+ more) in 30 seconds with 20+ security tools.
What Proveably Finds That You'll Miss
Manual checklist are helpful, but they're incomplete. When you scan with Proveably, you get:
- Source map analysis — We check if your production bundles expose source code
- Secret scanning — We detect API keys, tokens, and credentials in your HTML, JS, and source maps
- Framework detection — We know you're using Supabase + Next.js and check for framework-specific issues
- AI-powered fixes — Every finding comes with a code snippet you can copy and paste
The Bottom Line
Lovable is an amazing tool. But "it works" ≠ "it's secure." Take 5 minutes to run through this checklist — or 30 seconds to scan your app with Proveably.
Your users trust you with their data. Make sure you deserve that trust.
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