Documented security vulnerabilities and common issues in Lovable-generated applications. Protect your app with the mitigations provided.
Check for exposed secrets, missing auth, and security misconfigurations.
Lovable generates functional code quickly, but security is not its primary focus. The issues documented here are not “bugs” in Lovable - they're common patterns in AI-generated code that require human review and hardening before production deployment.
Lovable frequently generates code with Supabase credentials embedded directly in client-side code. While Supabase anon keys are designed to be public, the pattern encourages insecure practices and often includes service role keys that should never be exposed.
Lovable-generated applications frequently lack proper authorization checks. While authentication may be implemented, the generated code often doesn't verify that authenticated users can only access their own data.
Lovable generates applications with development-friendly but production-insecure defaults. CORS is often set to allow all origins, error messages expose internal details, and security headers are missing.
When users request custom authentication instead of using Supabase Auth, Lovable sometimes generates insecure authentication implementations with predictable tokens, weak password hashing, or bypassable checks.
| Pattern | Frequency | Example | Risk |
|---|---|---|---|
| Hardcoded API Keys | Very Common | const supabaseKey = 'eyJ...' | Keys exposed in client bundles and git history |
| Missing .gitignore | Common | No .gitignore generated, .env committed | Secrets pushed to public repositories |
| Permissive CORS | Very Common | Access-Control-Allow-Origin: * | Cross-origin attacks enabled |
| Client-Side Auth Checks Only | Common | if (user) { showAdminPanel() } | Authorization trivially bypassed |
| Verbose Error Messages | Common | return { error: err.stack } | Internal details exposed to attackers |
Our scanner checks for the common Lovable security issues automatically - exposed Supabase keys, missing authorization, permissive CORS, and more.
Scan Your App FreeLovable can be used safely with proper security review. The platform excels at generating functional code quickly, but like all AI coding tools, the generated code needs security hardening before production use. Follow the best practices on this page and run a security scan before deploying.
Check your generated code and git history. If you see SUPABASE_ANON_KEY in your code (not .env), it's exposed but that's expected - anon keys are designed to be public. If you see SUPABASE_SERVICE_ROLE_KEY exposed, immediately rotate it in your Supabase dashboard. Service role keys should NEVER be in client code.
Enable Row Level Security (RLS) in Supabase and create policies that scope data to the authenticated user. For each table, add a policy like: 'auth.uid() = user_id'. Also verify that API endpoints check authorization, not just authentication.
Lovable is suitable for serious projects if you treat it as a starting point, not a finished product. Plan for security review time after generation. For apps handling sensitive data (health, financial, personal), allocate extra time for security hardening or consider a professional security review.
Before launching: 1) All secrets in environment variables, 2) RLS enabled on Supabase tables, 3) Authorization tested for each endpoint, 4) CORS restricted to your domain, 5) Error messages don't expose internals, 6) Security scan shows no critical issues.