Lovable apps had the highest vulnerability rate of any AI coding platform we tested. 47% had critical issues. 88% had high-severity flaws. The average Lovable app had 5.2 security findings. Most are fixable in under an hour — but first you need to know they exist.
Lovable generates a React frontend backed by Supabase. The stack is solid. The problem is what the AI leaves out: Row Level Security policies, server-side auth checks, and proper secret management. These gaps follow a consistent pattern across almost every app on the platform.
Lovable generates Supabase tables without enabling RLS. Without RLS policies, the anon key in your page source becomes a full-access pass to every row in every table.
CVE-2025-48757 confirmed this pattern across 170+ apps and 303 vulnerable endpoints. Personal debt records, home addresses, API keys, and user credentials were all accessible without authentication.
Every Lovable app embeds the Supabase URL and anon key in the JavaScript bundle. This is safe when RLS is properly configured. When RLS is missing, it is equivalent to publishing your database password.
In our 100-app study, 54% of all apps had exposed secrets in client-side code. Lovable apps had the highest rate because credentials are always present and RLS is systematically absent.
Lovable generates auth flows that work on the happy path — the right user sees the right data. But API routes and server actions often lack ownership verification, so User A can access User B's data by changing an ID.
IDOR (Insecure Direct Object Reference) was present in 41% of apps with multi-user functionality across our study. Lovable apps were particularly affected because the AI generates CRUD endpoints without authorization middleware.
Lovable apps typically ship without Content Security Policy, X-Frame-Options, or Strict-Transport-Security headers. Some use wildcard CORS on authenticated endpoints.
47% of the 100 apps we tested were missing basic security headers. Without CSP, XSS attacks become significantly easier to exploit.
Every Lovable app puts the Supabase URL and anon key in the JavaScript bundle. That is by design — Supabase expects the anon key to be public. The safety assumption is that Row Level Security policies on each table restrict what unauthenticated or wrong-user requests can access.
Lovable's AI skips that step. It creates tables, writes queries, builds the UI, and never enables RLS. The result: anyone who opens DevTools, copies the two credentials, and runs a Supabase client call gets full read and write access to every table. No login. No token. No exploit chain.
This was formally disclosed as CVE-2025-48757 in May 2025. Researchers confirmed 170+ vulnerable applications and 303 exploitable endpoints. Exposed data included personal debt records, home addresses, API keys, and user credentials. One researcher hacked multiple Lovable showcase apps in 47 minutes.
Paste your URL. Flowpatrol scans your live app the way an attacker would — but gives you the report instead.
Scans your JavaScript bundles for Supabase URLs, anon keys, service role keys, and any other secrets that should not be client-side.
Uses discovered credentials to attempt unauthenticated data access against every table. If RLS is missing or misconfigured, you will know.
Checks that authentication is enforced at the server level, not just in the UI. Tests for IDOR, privilege escalation, and cross-user data leakage.
Full case study on CVE-2025-48757 and how one AI platform shipped the same flaw across hundreds of apps.
Step-by-step guide to fixing the most common Lovable security issues in under an hour.
The most common security issues we find in vibe-coded apps, with real examples and fixes.
A deep dive into Row Level Security and why it is the single most important setting in your Supabase project.
Paste your URL. See exactly what's exposed. Fix what matters before your users find out.