What security issues do Lovable apps have?
Get instant answers about your app's security.
Short Answer
Lovable apps surface a predictable distribution of issues: 2 critical-impact classes (complete database exposure via missing rls, data manipulation via open rls), 3 high-impact, 0 medium-or-below. The critical ones are what cause data breaches.
Detailed Answer
Headline incident: A working login does not prove your data is private
For Lovable apps using Supabase, database grants and Row Level Security policies must enforce the access you intend. VAS checks reachable data access paths, while a review with separate test users helps verify ownership rules.
Critical issues in Lovable apps
- **Complete Database Exposure via Missing RLS**: Supabase tables without Row Level Security can be queried by anyone with the public anon key. *(Observed: CVE-2025-48757: 170+ Lovable apps had exposed databases discovered and reported.)*
- **Data Manipulation via Open RLS**: Even if RLS exists, overly permissive policies allow cross-user data modification.
High-severity issues
- **API Key Theft from JS Bundles**: OpenAI, Stripe, and other API keys hardcoded in frontend code are easily extracted.
- **Account Takeover via Weak Auth**: Missing email verification and weak passwords enable account compromise.
- **XSS via Missing Security Headers**: Without CSP and other headers, injected scripts can steal sessions and data.
Why these are the issues specific to Lovable
Lovable apps ship with a recognizable stack (supabase). The issue list above is what appears when you scan that specific combination. A Firebase-backed app would have a different top-5; a self-hosted Postgres deployment would have yet another. Context is everything.
What vas checks in a Lovable scan
- **Supabase Security** — Checks discovered Supabase tables for data returned to public clients. The report distinguishes observed exposure from checks that could not establish access.
- **API Key Exposure** — Scans your JavaScript bundles for exposed API keys from OpenAI, Stripe, and other services that should be server-side.
- **Authentication Security** — Checks observable authentication behavior and reachable endpoints. Configure a test login for supported authenticated checks.
- **Security Headers** — Checks response headers for missing or weak browser protections, with configuration guidance for the issues found.
Security Research & Statistics
of Lovable applications (170 out of 1,645) had exposed user data in the CVE-2025-48757 incident
Source: CVE-2025-48757 security advisory
average cost of a data breach in 2023
Source: IBM Cost of a Data Breach Report 2023
developers using vibe coding platforms like Lovable, Bolt, and Replit
Source: Combined platform statistics 2024-2025
Expert Perspectives
“There's a new kind of coding I call 'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”
“It's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.”
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Run your first scan freeMore Questions About This Topic
Which Lovable security issue is most dangerous?
Complete Database Exposure via Missing RLS. Supabase tables without Row Level Security can be queried by anyone with the public anon key. Real-world evidence: CVE-2025-48757: 170+ Lovable apps had exposed databases discovered and reported. The fix: Enable RLS on all tables and write policies that verify auth.uid() matches data ownership.
Are these issues unique to Lovable, or do they appear across platforms?
The patterns overlap with bolt, v0, replit — all vibe-coding platforms share the "AI-generated code prioritizes functionality over security" problem. But the *specific manifestation* differs per platform. An exposed Supabase anon key is structurally different from an exposed Firebase config, which is different from an exposed Postgres connection string. The right scan is platform-aware.
How do I see which of these issues my Lovable app has?
Run a vas scan against your deployed Lovable app URL. It checks every issue in the list above, confirms each by actually probing (not just reading headers), and prioritizes by severity with copy-paste fixes. Most Lovable app scans return results in 2–3 minutes.
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