NEW · LIMITED SLOTS · 1-WEEK TURNAROUND

Your vibe-coded app shipped.
Is it secure?

You built it with Cursor, Bolt, Lovable, v0 or Replit Agent. Functionality: shipped. Security: probably broken. Resync finds the vulnerabilities AI coding tools consistently produce — by hand, by an OSCP-certified pentester, with a report you can read on the same day.

Fixed price 1-week turnaround Report in English Retest included
Cursor Bolt.new Lovable v0 Replit Agent Claude Code Windsurf + any AI-generated stack
The problem

AI writes working code. Not secure code.

AI coding tools are trained on the entire internet's worth of public code — which, on average, is not security-hardened. They optimize for "what makes the user say yes" and "what looks like it works." Those are not security objectives.

Worse: when you describe a feature in natural language ("let users edit their profile"), the AI infers an implementation. It rarely infers the right authorization model, the right input validation, or the right secret-handling strategy — because you didn't say so explicitly.

The result is a predictable pattern. The same classes of vulnerability appear in almost every vibe-coded app Resync reviews. Below: the actual list.

Important — this is not anti-AI

AI coding tools are extraordinary. They compress months of work into days. The point isn't to stop using them — it's to recognize that shipped functionality ≠ shipped security, and to close the gap before someone else finds it.

What Resync looks for

The vibe-coded vulnerability pattern.

These are the issues found again and again in AI-generated apps. Most of them are logic flaws — invisible to automated scanners, but obvious to a human attacker probing endpoint by endpoint.

🔓

Missing authorization on endpoints

The AI generates a "/api/users/:id" endpoint. Authentication is required. Authorization — checking whether you're allowed to view that specific user — is forgotten. Any logged-in user can read everyone's data.

Why AI misses it: "Add auth" was the prompt. Object-level access control wasn't mentioned, so it wasn't built.
🎯

IDOR (Insecure Direct Object Reference)

Resources are exposed by sequential or guessable IDs. Change ?order=1042 to ?order=1041 and you see someone else's purchase. The classic vibe-coded breach.

Why AI misses it: The DB schema uses auto-increment IDs. The AI uses them in URLs. Nobody asked for UUIDs or ownership checks.
🔑

Hardcoded secrets & exposed API keys

Stripe keys in client-side bundles. OpenAI tokens in .env.local files committed to git. Database URLs in client-rendered Next.js pages. Public Supabase service-role keys.

Why AI misses it: The AI puts the key "where it works first try." That's often the wrong side of the network boundary.
💉

SQL/NoSQL injection & unsafe queries

Especially when the AI generates dynamic queries based on user input that wasn't supposed to reach the DB. Common in filter, sort, and search features.

Why AI misses it: The AI uses an ORM correctly 80% of the time — and dangerously string-concatenates the other 20%, especially in "advanced filter" features.
🌐

Overly permissive CORS

Access-Control-Allow-Origin: * with credentials enabled. Lets any website read your authenticated user's data via the browser.

Why AI misses it: "Fix the CORS error" prompt → AI returns "the most permissive config that makes the error go away."
🚪

Exposed admin routes

Admin dashboards reachable at predictable URLs (/admin, /dashboard) protected only by client-side React route guards — easily bypassed by hitting the API directly.

Why AI misses it: Auth UX was the brief. Server-side route protection was assumed, never implemented.
📤

Unsafe file uploads

Avatar uploads that accept any MIME type and execute server-side. Path traversal via filename. Direct uploads to public S3 buckets with read access for anyone.

Why AI misses it: Upload "just works." Validation, type checks, and bucket policies are out of scope of the visible feature.
🧠

Prompt injection & AI-feature abuse

If your app calls an LLM with user input, that's an attack surface. Users can hijack the system prompt, extract data from your context, or call tools you didn't intend to expose.

Why AI misses it: The model has no concept of "this user input is hostile." You have to architect defenses explicitly — they're not the default.
💸

Business logic & payment flaws

Race conditions in checkout. Price set client-side and trusted by server. Discount codes reusable in parallel. Inventory going negative. Subscriptions cancellable without ownership check.

Why AI misses it: The AI implements the happy path. Concurrent and adversarial usage requires explicit thinking — and you didn't prompt for it.
🗂

Database row-level security gaps

Especially in Supabase/Firebase apps: tables created without RLS policies, or with policies that look correct but allow cross-tenant reads via clever filter chains.

Why AI misses it: RLS is "off by default." The AI creates working tables. Nobody enables policies until someone asks.
Why automated scanners miss this

SAST tools don't speak vibe-coded.

The standard advice is "run Snyk / Semgrep / Dependabot." Useful — for known CVE patterns and library vulnerabilities. But the vibe-coded vulnerability pattern is almost entirely about logic, authorization, and architecture. Those are:

  • Not pattern-matchable — they depend on the data model and intended access rules
  • Not in any signature database — they're business logic, not library bugs
  • Specific to your app — a scanner doesn't know who should see what
  • Often spread across multiple files — an attacker chains three small flaws into one breach

The only way to find them is for a human to think like an attacker while exercising your actual application. That's what Resync does.

The audit

What you get.

VIBE-CODED APP AUDIT

Fixed price · 1-week turnaround

Manual penetration test specifically tailored to AI-generated apps. Pricing depends on scope (number of features, integrations, AI surface area) — quote within one business day after intake.

Manual probing of every authenticated endpoint
Authorization model review per resource type
Secret/key exposure scan (client, repo, infra)
Injection, IDOR, business-logic testing
Prompt injection & AI-feature abuse (if applicable)
Supabase/Firebase RLS & bucket policy review
Written report (English) with reproduction steps
30-min walkthrough call with you and your team
Retest after fixes — included
NDA standard, slack-only comms if you prefer
Get a fixed-price quote →
Free resource

The Vibe Coding Security Checklist.

Before you ship — or before you book an audit — run through this. If you can confidently check every box, you've already eliminated the top 80% of vibe-coded vulnerability patterns.

Self-audit checklist (top 12)

Tick boxes are for browser-side use only — nothing is sent anywhere. Use it as a pre-launch gate.

FAQ

Common questions from founders.

I have ~3 paying users. Is it too early for an audit?
If you're charging real money, handling personally identifiable information, or about to land a customer who'll do diligence — no, it's not too early. The cost of fixing a breach with 3 users is reputational and existential; the cost of fixing it later with 3,000 is also legal. The cheapest moment to harden is right now.
We use Supabase / Firebase. Doesn't that handle security?
Partially. Supabase and Firebase give you the tools (RLS, security rules) — but they're off by default and easy to misconfigure. The most common breach pattern in apps using these is RLS policies that compile and run, but allow filter-based extraction across tenants. We specifically check this.
Can we just run a vulnerability scanner instead?
Run one anyway — it catches the easy stuff. But scanners don't find IDOR, missing authorization, business logic flaws, or prompt injection. Those are 80–90% of vibe-coded vulnerabilities. A scanner alone gives false confidence.
What does an audit cost?
Fixed price based on scope — typically the size of your app, number of integrations, and whether AI features are in play. We send a written quote within one business day after a short intake call. No hourly billing, no surprise invoices.
Do you sign NDAs and work via Slack?
Yes to both. NDA is standard. Slack-only communication is fine if you prefer — many founders do. We can also work async via Linear/Notion if that matches your team's flow.
We're based outside the Netherlands. Does that matter?
No. All work is remote. The report is in English. Payment via SEPA or wire. We've worked with founders across Europe, the UK, and the US.

Ship fast. Stay secure.

One short intake call. Fixed price quote within one business day. Audit completed in a week. Report you can act on the same day.

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NDA standard Fixed price Retest included
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