When the vibes are good but the security isn't. Real stories of AI-built apps that went catastrophically wrong.
A developer built a complete SaaS product over a weekend using Cursor and Claude. Waitlist went viral on Twitter. 50,000 users signed up in the first week. Three days later, a security researcher discovered the entire user database was publicly accessible.
Supabase RLS was disabled 'temporarily' during development. The AI never suggested enabling it, and the developer forgot. The anon key in the frontend allowed direct database queries with no authorization.
Always enable RLS before accepting any user data. Never disable security features 'temporarily'. The AI doesn't know what you've disabled.
A solo founder launched their AI wrapper startup. Copilot suggested an image processing pipeline that spawned Lambda functions for each request. No rate limiting, no cost controls. A viral HackerNews post triggered 10 million requests in 4 hours.
AI-generated code had no rate limiting, no request throttling, and no cost monitoring. Each image spawned multiple Lambda invocations with no deduplication. AWS billing alerts weren't configured.
Always implement rate limiting. Set up billing alerts and hard limits. Understand the cost implications of every API call. AI doesn't optimize for your wallet.
A developer used AI to build their subscription system. The AI generated client-side payment verification. Users discovered they could modify JavaScript to bypass the paywall. Word spread on Reddit. For 6 months, thousands used premium features free.
Payment status was checked client-side using a JavaScript variable. No server-side verification of subscription status. API endpoints didn't check payment state.
Never trust the client. All payment and authorization checks must happen server-side. Assume users will inspect and modify any client-side code.
A team shipped their B2B product after 2 weeks of vibe coding. An attacker found the /admin route (hidden but not protected). Within hours, they had exported all customer data, modified pricing, and created backdoor accounts.
Admin routes were 'protected' by hiding the UI link. No authentication on admin API endpoints. AI-generated code only implemented UI-level access control.
Security through obscurity is not security. All routes need server-side authentication. Admin functions need additional verification layers.
An AI suggested storing API keys in a config file for 'easy access'. The developer pushed to a public repo. Within minutes, bots had found and used the OpenAI, Stripe, and SendGrid keys. The OpenAI account hit its limit in hours running crypto scams.
AI-suggested configuration pattern put all API keys in a single JSON file. No .gitignore entry was suggested. Public GitHub repo exposed everything.
Never commit secrets. Use environment variables. Set up .gitignore before first commit. Use secret scanning tools. Rotate keys immediately if exposed.
If you've never tested authorization, it's probably broken
Anything disabled 'temporarily' tends to ship that way
If your security is in JavaScript, it's not security
Even 'for testing' credentials end up in production
Without limits, one viral moment can bankrupt you
Rushing to ship is how security gets skipped
A 5-minute security scan can prevent months of disaster recovery. Find the vulnerabilities in your vibe-coded app before attackers do.
Free Security ScanThese are composite stories based on real incidents we've seen in the vibe coding community. Details have been changed to protect those involved, but the technical failures and their impacts are real patterns that repeat across many projects.
Very common. The combination of rapid development, AI-generated code that looks correct, and lack of security review creates a perfect storm. Many incidents go unreported because founders are embarrassed or don't even know they've been breached.
Yes, but you need guardrails. Automated security scanning, careful review of AI suggestions involving auth/data, proper environment variable handling, and testing authorization before launch. Speed is fine, but not at the cost of basic security hygiene.
Missing or misconfigured authorization—especially with Supabase RLS. AI tools don't understand your authorization requirements, and developers often don't realize what's missing until it's exploited. Always verify that users can only access their own data.
Last updated: January 16, 2026