vibe coding security
Your AI-built app is
exploitable. Prove it.
Vibe coding ships features fast and security flaws faster. Muster attacks your app the way a real intruder would, proves exactly what is exploitable, and hands you the fix. From $49 a month.
free to start · no sales call · first exploits in ~10 min
the request that worked
GET /api/orgs/42/invoices Authorization: Bearer <user in org 7> → 200 OK reads another tenant's invoices
Broken tenant isolation (IDOR). Any user can read any org's billing data.
Scope the query to the caller's org in withOrg() before the invoice lookup.
the patterns we prove
Five flaws we prove, over and over.
AI-generated code makes the same mistakes. It does not check ownership, it concatenates strings, it leaks keys into client-visible files, it ships debug scaffolding, and it inherits the starter template's own flaws. Ordered by how often we prove them in practice.
Broken auth and access control
GET /api/orgs/42/invoices → 200 OK (wrong tenant)
Sessions without proper guards. IDORs where any logged-in user reads any org's data.
Injection
POST /api/search {'q': "'; DROP TABLE users--"} → executes
SQL, command, and template injection. The model wrote string concatenation, and it runs.
Exposed secrets in the shipped bundle
curl /_next/static/chunks/app-abc.js → API_KEY=value
Keys, tokens, and passwords baked into client-visible JavaScript because the AI put them in the wrong file.
Insecure defaults
GET /.env → 200 OK (.env served statically)
Debug routes, open admin panels, permissive CORS, and missing rate limits the scaffold left behind.
Dependency and scaffold flaws
GET /api/admin → role required: none
The starter template's own vulnerable version pinned in package.json and shipped untouched.
the order that works
Check, attack, fix, re-test.
Enumerate the actual surface
Map every route, API, and env the AI generated. Most apps have more endpoints than the builder knows about, because the scaffold added its own.
Attack them like a real intruder
Not signature matching. Form hypotheses about how your specific auth flow, data model, and access rules can be broken, then test them on the live app.
Fix the proven hole first
Muster only reports what it exploited. A replayed exploit with the exact request and the one-line fix is actionable. A scanner list of 400 maybes is not.
Re-test every deploy
Ship the fix, and the same attack replays against every new version. Closed means proven closed, not believed closed.
why scanners miss it
A scanner lists maybes. Muster proves the exploit.
The bugs that matter in a vibe-coded app are not in a CVE database. They are in how your specific ownership checks, query scopes, and file visibility line up. Signature matching cannot see that. An attacker automated to act like one can.
SOC 2 / ISO 27001 already on your list?
The report is included, not an add-on.
Every proven finding comes with compliance-ready evidence. Auditors and customer security reviews ask for exactly this, and most pentest vendors charge four figures for it.
Vibe coding security, answered.
+Is AI-generated code secure?
Rarely by default. The models optimize for a working app, not a hardened one. The flaws we prove most often are broken access control, injection, and secrets baked into the shipped bundle. Those are exploitable, not theoretical, and a scanner will not find most of them.
+What does a vibe-coded app usually get wrong?
Broken auth and access control first. The model writes a login check but forgets to scope data ownership, so any logged-in user can read anything. Injection second. Secrets exposed in the client bundle third. The order is consistent enough that we test for those classes before anything else.
+Can a normal vulnerability scanner catch these?
No. A scanner compares the app to known signatures. The bugs vibe-coded apps ship are usually custom: a broken ownership check, a mis-scoped query, a leaked key the developer did not know was readable. Those need a human-attacker approach, automated.
+How does Muster test my app?
You point it at your app's URL. AI agents map the ship surface, attack it like an intruder would, and only report what they proven exploited with an exact request. If they cannot prove it, they do not report it.
+What does a finding include?
The exact HTTP request that worked, what it exposed, and the fix. Plus a compliance-ready evidence trail, included at no extra charge. Retests are unlimited on every deploy.
+How much does it cost?
From $49/mo for a single asset. The first scan is free and there is no scoping call. First results usually land in about ten minutes.