VIBE PENTESTING: SECURITY TESTING FOR VIBE-CODED APPS

Vibe pentesting is penetration testing tailored to apps built with AI coding tools. The generator matters more than the stack, because the failure modes are consistent across every project produced by the same tool.

What is vibe pentesting?

Vibe pentesting is penetration testing tailored to apps built with AI coding tools — the class of software produced by Lovable, Bolt, Cursor, Claude Code, v0, Replit, Base44, Figma Make, and Windsurf. It narrows the scope from general-purpose pentesting to the specific failure modes these tools consistently ship, which means faster turnaround, lower cost, and coverage of the issues most likely to bite a vibe-coded app in production.

Vibe-coded apps don’t fail randomly. They fail in patterns. The generator determines the pattern. That is what makes this kind of pentesting scannable.

Why traditional pentesting misses the target for vibe-coded apps

Traditional pentesting assumes the code was written by humans with inconsistent, independently-invented decisions. That is the right model for most software. It is the wrong model for AI-generated apps, where the same tool produces the same mistakes across every project.

A traditional pentest engagement takes one to three weeks, costs $5,000–$50,000, and delivers a report that spans OWASP Top 10, business logic, and edge cases. For a vibe-coded MVP that changed last week and will change again tomorrow, that cadence is wrong: by the time the report lands, the app is different.

Vibe pentesting inverts the tradeoff. Narrow scope, seconds-long runtime, continuous re-scan on every deploy. For the 95% of issues that matter in vibe-coded apps, it is the right shape of testing.

The vibe pentest checklist

The short list of issues that actually land in production vibe-coded apps:

  1. Missing Row Level Security on Supabase or Firebase tables — the single most common and most severe finding
  2. Exposed API keys in the frontend bundle (Stripe secret, Firebase service account, OpenAI, Anthropic, AWS)
  3. BOLA / IDOR on generated CRUD endpoints — change an ID, read someone else’s data
  4. Auth flows that verify the user but skip role or ownership checks
  5. Open storage buckets on Supabase Storage, Firebase Storage, or S3
  6. Permissive CORS (* with credentials) on endpoints returning sensitive data
  7. Debug routes or admin panels that shipped to production
  8. Webhook endpoints without signature verification
  9. Input validation skipped — SQL injection, XSS, prompt injection
  10. Missing security headers — CSP, HSTS, X-Frame-Options

Every finding from that list is scannable from outside the app. That’s why vibe pentesting can be automated in a way traditional pentesting cannot.

How a vibe pentest runs

  1. Scope — paste the deployed URL. No access credentials, no source code access, no agent to install.
  2. Recon — the scanner loads the app in a headless browser, captures every asset and request, and maps the API surface.
  3. Probe — each endpoint is tested for the checklist above, with evidence captured for every finding.
  4. Report — findings ranked by severity, each with evidence, exploitation notes, and a fix prompt for your AI coding tool.
  5. Rescan — re-run after fixes ship to verify nothing regressed.

Vibe pentest vs traditional pentest

Aspect Vibe pentest Traditional pentest
Scope AI-generated-app failure modes General-purpose, OWASP + business logic
Duration 1–3 minutes 1–3 weeks
Cost Free / low subscription $5k–$50k per engagement
Cadence On every deploy Usually annual
Driven by Automated agent Human pentester
Best for Pre-launch + continuous coverage on vibe-coded apps Regulated workloads, complex business logic, compliance

The two are not substitutes. For anything touching sensitive data, run a vibe pentest continuously and a human pentest annually. For unregulated MVPs, continuous vibe pentesting alone is the pragmatic floor.

Tool-specific vibe pentests

COMMON QUESTIONS

01
What is vibe pentesting?
Vibe pentesting is penetration testing focused on the specific failure modes of AI-generated web apps — the kind produced by Lovable, Bolt, Cursor, Claude Code, v0, Replit, and Windsurf. It prioritizes the predictable gaps these tools create (missing RLS, exposed keys, BOLA, skipped input validation) over the full OWASP coverage a traditional pentest would attempt.
Q&A
02
How is vibe pentesting different from a regular pentest?
A traditional pentest is scoped against any vulnerability class an attacker might exploit. A vibe pentest is scoped against the attack surface AI coding tools generate — which turns out to be a fairly small, repeatable list. The trade-off is narrower coverage in exchange for faster turnaround (minutes vs weeks) and lower cost.
Q&A
03
What vulnerabilities does a vibe pentest look for?
The core checklist: missing Row Level Security on Supabase or Firebase tables, exposed API keys in the frontend bundle, BOLA/IDOR on generated CRUD endpoints, auth flows that skip role or ownership checks, open storage buckets, permissive CORS, debug routes in production, and webhook endpoints without signature verification.
Q&A
04
Can a vibe pentest replace a traditional pentest?
For pre-launch and continuous coverage of vibe-coded apps, yes. For regulated workloads (HIPAA, SOC 2, PCI) a human-led pentest is still required by auditors. The recommended pattern is continuous vibe pentesting as the default floor, with an annual human pentest on top.
Q&A
05
Who should run a vibe pentest?
Any team shipping a Lovable, Bolt, Cursor, Claude Code, v0, Replit, or Windsurf app to production — especially solo founders and small teams who don't have a security engineer. The scan is designed to be run by the builder, not a security specialist.
Q&A
06
How fast is a vibe pentest?
A typical scan completes in one to three minutes against a deployed URL. There is no agent to install, no code to share, and no access credentials to grant — the pentest runs from outside the app, the way an attacker would.
Q&A
07
What do I do with the findings?
Every finding ships with a fix prompt that can be pasted into the same AI coding tool you built the app with. Critical issues (exposed secret keys, anon-readable user tables) should be fixed before anything else. The rescan flow verifies the patch.
Q&A

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