Your Vibe-Coded App Got Hacked. Now What?

You Built It in a Weekend. They Broke It in an Afternoon.

The pitch was compelling. A SaaS application built in 48 hours using Cursor and Claude. No engineering team. No six-month development cycle. Just a founder with an idea and an AI assistant that writes code. The product works. Users sign up. Revenue starts flowing.

Then on a Tuesday morning the founder gets an email from a user. Their data is on a paste site. All of it.

This is not a hypothetical. We handle these engagements at Sherlock Forensics. The frequency is increasing in 2026 as more vibe-coded applications hit production with real user data and real payment processing. If you are running a vibe-coded app without a security audit, you are operating on borrowed time.

Anatomy of a Vibe-Code Breach

Here is a realistic scenario reconstructed from patterns we observe across engagements. The details are composite but every vulnerability is one we have found in production vibe-coded applications.

The Application

A project management SaaS built with Next.js, Supabase and Stripe. The entire codebase was generated by AI over a weekend. The founder used Cursor with Claude as the backend. The application handles user authentication, project data, file uploads and subscription payments.

The Attack

Hour 1: Reconnaissance

The attacker notices the application uses predictable API endpoint naming (/api/users, /api/projects, /api/files). They probe each endpoint without authentication. Several return data. The AI-generated API routes check for a valid session cookie but do not verify that the authenticated user has access to the requested resource. This is broken object-level authorization (OWASP API1).

Hour 2: Privilege Escalation

The attacker creates a free account. They modify the role field in their JWT token from user to admin. The AI-generated code checks if the token is valid but does not verify the role claim against the database. The attacker now has administrative access to every project and every user account.

Hour 3: Data Exfiltration

With admin access the attacker queries the /api/users endpoint to dump every user record. Names, email addresses, hashed passwords and Stripe customer IDs. They access /api/files to download uploaded documents. The application has no rate limiting so the entire database is extracted in minutes.

Hour 4: Persistence

The attacker creates a new admin account through the /api/users endpoint (which accepts POST requests without checking if the caller has permission to create admin accounts). Even after the breach is discovered and the original attack vector is patched this account remains active. The application has no audit log so the new account is invisible.

Why Vibe-Coded Apps Break This Way

Every vulnerability in that scenario exists because AI code assistants solve the problem they are asked to solve and nothing more. "Build me user authentication" produces code that authenticates users. It does not produce rate limiting, role verification, audit logging or abuse detection because those were not part of the prompt.

Traditional applications accumulate security controls over years of development, penetration testing and incident response. Vibe-coded applications skip that entire history. They ship with the security posture of a prototype because that is what they are.

The Incident Response Playbook

When a vibe-coded application is breached the response process is the same as any breach but with complications unique to AI-generated code.

Step 1: Isolate

Take the application offline immediately. Do not attempt to patch the vulnerability first. Every minute the application remains live is another minute the attacker has access. If you cannot take it fully offline, block all inbound traffic except from known-good IP addresses.

Step 2: Preserve Evidence

Capture the current state of the application before anyone modifies anything. Database snapshots, server logs (if they exist), application logs (if they exist), DNS records, SSL certificates and git history. Vibe-coded applications often have minimal logging which makes this step both critical and frustrating.

Step 3: Engage Forensics

A forensic examiner determines what the attacker accessed, how they got in, how long they had access and whether they established persistence. This requires analyzing server access logs, database query logs, network traffic captures and application state. At Sherlock Forensics we use NIST incident handling frameworks adapted for AI-generated application environments.

Step 4: Determine Scope

What data was exposed? Which users are affected? Were payment credentials accessed? Are there regulatory notification requirements under PIPEDA, GDPR or state breach notification laws? The scope determines every downstream decision from user notification to regulatory filing.

Step 5: Rebuild with Audit

Patching the exploited vulnerability is not sufficient. The codebase contains the same class of vulnerabilities throughout. A complete security audit identifies every finding. Security-critical components (authentication, authorization, payment processing, data access) are rebuilt with proper controls. This time with a security professional reviewing every line.

Before the Breach: Audit Now

The best incident response is the one that never happens. If you have a vibe-coded application in production with real user data, an AI code audit today costs a fraction of a breach response tomorrow. Quick audits start at $1,500.