Vibe Coding Security Vulnerabilities

The thread begins on March 29th, when a developer published a detailed guide on Supabase Row Level Security misconfigurations, aimed squarely at the vibe coding crowd — the people building real applications with AI assistance, often without a formal security background. The tone was instructional, but the implication was clear: the default assumptions baked into AI-generated database code are leaving doors open. Two days later, a more provocative piece landed: someone claiming to have scanned 100 vibe-coded applications found critical vulnerabilities in 67 of them. Authentication bypasses, exposed API keys, misconfigured permissions — the kind of bugs that don't require sophistication to exploit, just someone looking. Then on April 2nd, the story turned meta. A third post argued that the security scanners vibe coders are being encouraged to use are themselves missing the worst class of bugs — logic errors and context-dependent vulnerabilities that static analysis simply cannot see. The problem, in other words, may be harder to solve than downloading a better tool.

If confirmed, here is what this means. Vibe coding has quietly moved from prototype territory into production, and the security assumptions that worked fine for throwaway demos are now sitting in live applications handling real user data. The 67% figure, if it holds under scrutiny, would suggest this is not an edge case — it is the norm. The second-order effect is significant: when a security incident traces back to AI-generated code, the backlash won't land on the developer alone. It will land on the AI tools that generated the code, the platforms that hosted the app, and the broader narrative that AI can meaningfully democratise software development. The deeper problem raised by the third signal is the one that should focus minds. If the vulnerability class is logic-level — the kind where code does exactly what it was asked but not what the application actually needs — then no linter catches it. Only someone who understands the threat model can catch it. And that person, almost by definition, is not the target user of vibe coding tools.

Watch for independent security researchers or established firms reproducing the scanning methodology from that 100-app audit. If the 67% figure survives scrutiny from outside Dev.to, this moves from background concern to active industry problem very quickly.

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