Security Stories

Vibe Coding Fails

Real security disasters from AI-generated code. Learn from these failures so you don't repeat them.

Real Failure Stories

The $50K AWS Bill

Exposed Credentials

A developer used Cursor to build a side project. The AI helpfully suggested hardcoding AWS credentials 'for testing.' The developer shipped it. Crypto miners found the keys within hours.

Technical Details

AWS access keys were committed to a public GitHub repo. Automated scrapers detected them within 12 minutes of push.

$50,000+ in unauthorized compute charges

Prevention: Never hardcode credentials. Use environment variables. Add .env to .gitignore before the first commit.

The RLS-less Database

Missing Authorization

A founder vibe-coded their entire SaaS with Cursor. Beautiful UI, working features. Zero Row Level Security on Supabase. Any user could read everyone's data.

Technical Details

Supabase tables had RLS disabled. Frontend queries used the anon key with no authorization checks. SELECT * FROM users returned all users.

Complete data breach exposing 15,000 user records

Prevention: Always enable RLS on Supabase tables. Add policies before inserting any data. Test authorization with different user contexts.

The Admin Route

Broken Access Control

AI generated an admin dashboard at /admin. Frontend hid the link for non-admins. No backend authorization. Anyone who guessed the URL had full admin access.

Technical Details

Route protection was client-side only using React state. API endpoints had no authentication middleware. Attacker navigated directly to /admin.

Unauthorized access to admin controls, data manipulation

Prevention: Always implement server-side authorization. Never rely on UI hiding for security. Check permissions on every API endpoint.

The SQL Injection

Injection Vulnerability

Copilot suggested a search function using string concatenation. Developer didn't know about parameterized queries. Entire database was dumped via search box.

Technical Details

Query: `SELECT * FROM products WHERE name LIKE '%${searchTerm}%'`. Attacker input: `%' UNION SELECT * FROM users --`

Full database compromise including password hashes

Prevention: Always use parameterized queries or ORM methods. Never concatenate user input into SQL strings.

The API Key Marketplace

Exposed Secrets

AI-generated frontend included the Stripe secret key for 'easier testing.' Deployed to production. Attacker found it in browser devtools and created fraudulent refunds.

Technical Details

STRIPE_SECRET_KEY was bundled into client-side JavaScript via NEXT_PUBLIC_ prefix. Visible in browser source.

$8,000 in fraudulent refunds before detected

Prevention: Never prefix secrets with NEXT_PUBLIC_. Server-only secrets should never reach the browser. Use server actions or API routes.

The Insecure Direct Object Reference

IDOR Vulnerability

Profile page fetched user data by ID from URL. AI didn't add ownership checks. Incrementing the ID showed other users' private data including addresses and payment info.

Technical Details

Endpoint: GET /api/users/[id]. No verification that requesting user owns or can access the target user's data.

PII exposure for thousands of users, potential GDPR fines

Prevention: Always verify the authenticated user has permission to access the requested resource. Don't trust client-provided IDs.

Common Failure Patterns

Client-Side Only Auth

AI generates auth checks in React components but not in API routes

Very Common

Hardcoded Test Credentials

AI suggests hardcoding keys 'for now' which never gets removed

Very Common

Missing Rate Limiting

AI rarely suggests rate limiting, leaving APIs open to abuse

Common

Verbose Error Messages

AI generates detailed errors that leak implementation details

Common

Disabled Security Features

AI suggests disabling CORS, CSRF, or SSL 'to fix errors'

Common

The Vibe Coding Paradox

The same speed that makes vibe coding attractive is what makes it dangerous. When you can build a full app in hours, there's no time for security review. When AI generates code you don't fully understand, you can't spot the vulnerabilities. The solution isn't to stop using AI—it's to add automated security checks to your workflow.

Don't Become a Failure Story

Scan your vibe-coded project before it ends up on a list like this. Find the vulnerabilities before attackers do.

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Frequently Asked Questions

Why does vibe coding lead to security failures?

Vibe coding prioritizes getting things working quickly over security best practices. AI models are trained on code that often lacks security considerations, and developers accepting suggestions without review compound the problem. The speed that makes vibe coding attractive is the same thing that leads to overlooking security.

Are these failures unique to AI-generated code?

No, these vulnerabilities exist in human-written code too. However, vibe coding accelerates the rate at which vulnerable code is produced and deployed. The combination of AI suggestions, lack of review, and rapid deployment creates a perfect storm for security failures.

How can I avoid these failures in my vibe-coded projects?

1) Scan your code before deployment, 2) Always review AI suggestions involving auth, data access, or credentials, 3) Use security-focused prompts like 'implement this securely', 4) Test authorization with different user roles, 5) Never hardcode secrets even 'temporarily'.

Can security scanners catch all these issues?

Scanners can catch many issues like exposed credentials, missing headers, and some vulnerability patterns. However, logic flaws like missing authorization checks often require manual review or runtime testing. Use scanners as one layer of a defense-in-depth approach.

Learn How to Avoid These Fails

Security Checklist Best Practices OWASP Top 10 Guide AI Code Risks

Last updated: January 16, 2026