Vibe Coding Security: A Practical Guide to AI-Generated Code Risks

What are the security risks in vibe-coded apps, and how do you catch them?

The main vibe coding security risks are not exotic exploits — they are ordinary misconfigurations that ship because AI-generated code optimizes for "works on the first try," not "safe in production." The usual suspects: secrets baked into the client bundle, committed .env files, missing or default access controls, absent security headers, permissive CORS, leftover debug and admin endpoints, exposed source maps, and outdated dependencies with known CVEs. The good news is that most of these are visible from the outside, so an external black-box scan of your deployed domain catches them in seconds — no repo access required.

This guide is the calm version of the topic. No scare statistics, no named breaches — just the well-established classes of AI generated code security issues and a checklist you can act on before you ship.

Why does vibe coding produce these gaps?

"Vibe coding" — building apps fast by prompting tools like Cursor, Lovable, Bolt, v0, or Replit and accepting the output — is great for momentum. But the same speed that makes it useful skips the review steps where security normally gets caught. The Lovable incident (CVE-2025-48757), where a wave of generated apps shipped with their database wide open, is the canonical example of how this plays out.

A model asked to "connect to Stripe and charge the card" will cheerfully put the call in a React component, secret key and all, because that makes the demo work. It does not know that the component compiles into a bundle every visitor can read. It will scaffold an admin route and leave it unauthenticated because authentication wasn't in the prompt. None of this is the model being malicious — it is the model being literal. The vibe coding vulnerabilities below are the predictable shadow of "make it work, fast."

These map cleanly onto long-standing categories in the OWASP Top 10, particularly Security Misconfiguration and Vulnerable and Outdated Components. Nothing here is new. What's new is how quickly the gaps now appear.

The common vibe-coding vulnerabilities

Secrets in the frontend are the headline risk

This one deserves emphasis because it's both the most common and the most damaging. Anything shipped to the browser is public: inline scripts, bundled JS, JSON config blobs, source maps. If a secret lands there, every visitor can read it with DevTools or a one-line fetch.

Worth knowing: not every key in the frontend is a leak. Some are meant to be public — a Stripe publishable key, a Maps API key locked to your domain by HTTP-referrer restriction, a Supabase anon key gated by row-level policies. The danger is the secret counterpart: a Stripe secret key, an AWS access key, a raw database URL. SteelSuit's secret detection is pattern-based and deliberately does not verify keys against the provider (probing a third party with your credential isn't ours to do), so treat every match as real until you've confirmed otherwise — then rotate and move it server-side. For a deeper walkthrough, see how to find exposed API keys on a website.

The underlying weakness has a name: CWE-798: Use of Hard-coded Credentials.

The vibe coding security checklist

A short, ordered pass you can run before shipping any AI-generated app:

1. Search the bundle for secrets. Open DevTools, grep the shipped JS, or run a scanner. Any AWS/Stripe-secret/GitHub/database credential in client code = rotate immediately and move server-side.
2. Probe for exposed files. Hit /.env, /.env.local, /.env.production, /.git/config, /.git/HEAD, /config.json. None should return real content.
3. Check security headers. Confirm Content-Security-Policy, Strict-Transport-Security (HSTS), X-Frame-Options, and X-Content-Type-Options are present and sane. The MDN HTTP headers reference is the canonical source. For framework-specific setup, see Next.js security headers.
4. Test CORS. Make sure you're not reflecting arbitrary origins or pairing Allow-Origin: * with Allow-Credentials: true. The OWASP CORS guidance covers the pitfalls.
5. Verify access controls. Every admin, debug, and internal API route should require authentication — even the ones the AI scaffolded "for later."
6. Remove debug artifacts. Strip source maps, verbose error pages, and stack traces from production.
7. Audit dependencies. Check for outdated packages with known CVEs.
8. Re-scan after every deploy. Vibe-coded apps change fast; a clean scan last week says nothing about today's build.

For a broader, framework-agnostic version of this, see the full web app security checklist.

Where external scanning fits

External black-box scanning is the fastest safety net for AI-generated code because it tests the thing that actually matters — what your deployed site serves — without needing your repo, your AI tool's project, or an installed agent. It sees exactly what an attacker sees.

SteelSuit runs that pass from the outside: it inspects the JS bundle for credential patterns, probes for .env and .git exposure, evaluates headers and CSP, runs deep CORS checks, fingerprints your stack, and on a deep scan adds the full Nuclei template set plus subdomain enumeration. A free fast scan takes about 26 seconds; the deep scan (~5–6 minutes) runs after a one-time DNS-TXT proof you own the domain. It hands back a prioritized findings list with stack-specific fix advice — the obvious leaks caught before they reach a single user.

It is not a substitute for reading your own code or for a real penetration test. It is the cheap, repeatable check you run on every deploy so the obvious leaks never reach production. When the scan returns a finding you don't recognize, this guide to reading a vulnerability scan report will help you triage it.

Vibe coding is here to stay, and that's fine — the speed is the point. Just pair it with a thirty-second look from the outside before you call it done.