91.5% of Vibe-Coded Apps Have AI Hallucination Flaws | Stack of Truths

91.5% of Vibe-Coded Apps Have AI Hallucination Flaws | Stack of Truths

91.5% of Vibe-Coded Apps Have AI Hallucination Flaws

April 23, 2026 — 6 min read — Pedro Jose

A first-quarter 2026 assessment of more than 200 vibe-coded applications found that 91.5% contained at least one vulnerability traceable to AI hallucination.

More than 60% exposed API keys or database credentials in public repositories.

⚠️ THE REALITY

AI hallucination isn’t just “the chatbot made up a fact.” It’s: “the AI generated code with disabled row-level security, hardcoded secrets, and broken access controls — and you shipped it to production.”

The Numbers Don’t Lie

91.5%
of vibe-coded apps have AI hallucination flaws
60%+
exposed API keys in public repos
40-62%
of AI-generated code contains vulnerabilities
2.74x
more flaws than human-written code

According to an analysis of 470 GitHub pull requests, AI-written code produces flaws at 2.74 times the rate of human-written code.

Thirty-five CVEs were disclosed in March alone from AI-generated code, up from six in January. Georgia Tech estimates the actual figure is five to ten times higher than what is detected.

What “Hallucination” Actually Means for Security

When developers say “hallucination,” they usually mean: “the AI made up a fake fact.”

When security researchers say “hallucination,” they mean:

  • Disabled row-level security — The AI generated code that gives everyone access to everything
  • Hardcoded secrets — API keys, database credentials, and tokens embedded directly in source code
  • Missing webhook verification — Anyone can trigger your webhook, not just the intended service
  • Injection flaws — User input flows directly into queries without sanitization
  • Broken access controls — The authentication logic is backwards (block logged-in users, allow anonymous)
  • Row-level security disabled by default — Bolt.new and other platforms ship with RLS off
🔐 Real example from the Lovable breach:

A researcher found 16 vulnerabilities in a single app hosted on Lovable. The most severe? Inverted authentication logic that granted anonymous users full access while blocking authenticated users. The app exposed 18,697 user records including 4,538 student accounts from UC Berkeley and UC Davis — with minors likely on the platform.

The vulnerability wasn’t a “hack.” It was an AI hallucination that shipped to production.

Why Vibe Coding Platforms Are Insecure by Default

Vibe coding tools are optimized for speed and accessibility. Security is not a priority.

Bolt.new ships with row-level security off by default.

Cursor has had multiple CVEs patched, including a case-sensitivity bypass enabling persistent remote code execution.

Lovable left thousands of projects exposed for 48 days because a broken API vulnerability allowed any free account to access source code, database credentials, and user data. The researcher reported it on March 3. Lovable patched it for new projects but never fixed existing ones. Marked a follow-up report as a duplicate. Closed it.

┌─────────────────────────────────────────────────────────────┐ │ THE VIBE CODING SECURITY CRISIS BY THE NUMBERS │ ├─────────────────────────────────────────────────────────────┤ │ • 91.5% of vibe-coded apps = AI hallucination flaws │ │ • 60% exposed API keys in public repos │ │ • 40-62% of AI-generated code = vulnerable │ │ • 2.74x more flaws than human-written code │ │ • 35 CVEs from AI-generated code in March alone │ │ • 5-10x higher than detected (Georgia Tech estimate) │ │ • 60% of all new code will be AI-generated by year end │ └─────────────────────────────────────────────────────────────┘

The Lovable Breach: A Case Study

Lovable, the $6.6 billion vibe coding platform with 8 million users, had three documented security incidents:

  • April 2026: Broken API vulnerability allowed any free account to access source code, database credentials, and user data. Affected projects included Connected Women in AI (Danish nonprofit) with records linked to Accenture Denmark. Employees at Nvidia, Microsoft, Uber, and Spotify reportedly have Lovable accounts tied to exposed projects.
  • February 2026: A tech entrepreneur found 16 vulnerabilities in a single app hosted on Lovable. The app exposed 18,697 user records including student accounts with minors. His support ticket was closed without a response.
  • May 2025: A study found that 170 out of 1,645 sampled Lovable-created applications had issues allowing personal information to be accessed by anyone. Approximately 70% of Lovable apps had row-level security disabled entirely.

Lovable’s response to the April breach: denial, blame documentation, blame HackerOne, then partial apology.

Cybernews headline: “Lovable goes on ego trip denying vulnerability, then blames others for said vulnerability.”

The Economic Incentive Problem

Lovable hit $4 million in annual recurring revenue in its first four weeks. $10 million in two months with a team of 15 people. Enterprise adoption of vibe coding grew 340% year over year. Non-technical user adoption surged 520%. Eighty-seven percent of Fortune 500 companies have adopted at least one vibe coding platform.

💰 The market rewards speed and accessibility.

Security is a cost centre that slows both. The platforms are incentivized to grow, not secure. The users lack the expertise to identify vulnerabilities. And the regulators haven’t caught up.

What This Means for Your Business

If you’re using vibe coding platforms to build your product, you are shipping code you never had a chance to secure.

As Trend Micro framed it: “The real risk of vibe coding isn’t AI writing insecure code. It’s humans shipping code they never had a chance to secure.”

Eighty-four percent surge in App Store submissions driven by vibe coding tools. Thirty-five CVEs disclosed in March alone from AI-generated code, up from six in January. Georgia Tech estimates the actual figure is five to ten times higher than what is detected.

What You Should Do Right Now

  1. Audit your vibe-coded applications — Assume they have vulnerabilities. Row-level security is often disabled by default.
  2. Rotate all credentials — If you used Lovable or similar platforms, assume your API keys and database credentials are compromised.
  3. Review exposed data — Check what projects were created on these platforms and what data they contained.
  4. Don’t trust the platform’s security — Lovable closed a bug report without reading it. They blamed everyone else first.
  5. Get a real pentest — Automated scanners miss what human-led red teaming finds.
🔮 The bottom line: Gartner forecasts 60% of all new code will be AI-generated by the end of this year. But the security industry is not keeping pace. The platforms are incentivized to grow, not secure. The users lack the expertise to identify vulnerabilities. And the regulators haven’t caught up.

Until that changes, the responsibility falls on you. Test everything. Assume nothing.
🦞🔐

Worried about your vibe-coded application?

AI agent pentesting. API vulnerability assessment. Source code audit. Row-level security testing. AI hallucination detection.

I find what automated scanners miss — and what vibe coding platforms won’t tell you.

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© 2026 Stack of Truths — AI Agent Pentesting & Security Audits. All opinions are my own.
English is not my first language, I use AI to help write clearly. The ideas and experience are mine.

🦞 “10 years cybersecurity. 5 years AI. I break AI agents so you don’t get broken.”

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