Vibe Coding Security

A case study: we scanned a Lovable + Supabase app and found 23 exploitable vulnerabilities in 45 minutes. Here is exactly what we found.

The no-code market is $21.2B, but security lags far behind. Only 12.6% rate vibe coding as secure. Real breach examples and how to protect yourself.

Stanford, Veracode, and CodeRabbit all agree: AI-generated code has significantly more vulnerabilities. We dig into why and what to do about it.

Over 170 Lovable apps exposed, 18,000 users' data leaked. We break down the root cause and what you should check in your Lovable app right now.

A concrete checklist for securing AI-generated apps. Copy it into your project tracker and check each item before deploying.

LLMs produce injectable SQL 15-38% of the time. We analyzed why, tested five models, and show how to catch it before production.

A practical, step-by-step guide to hardening v0-generated apps. Covers auth, headers, env vars, input validation, and deployment config.

After scanning 500+ Next.js apps built with Cursor and v0, the same 7 vulnerabilities appear in almost every one. Here's the list.

We tested 200 apps generated by popular AI coding tools. 94% had at least one exploitable vulnerability. Here's what we found.