Now scanning 12,000+ endpoints

You shipped it fast.
Now make sure it's safe.

AI-driven penetration testing for startups, indie hackers, and teams that move faster than their security budget. Get a full vulnerability report in minutes - not weeks.

~20 minaverage scan timeOWASPTop 10 coverage0setup needed
penetrify scan - myapp.vercel.app
$ penetrify scan https://myapp.vercel.app
// Initializing AI-driven reconnaissance...
◉ Mapping attack surface... 47 endpoints found
◉ Testing authentication flows...
◉ Checking API security, headers, configs...
 
▸ CRITICAL Broken auth - email verification bypass via direct API call
▸ CRITICAL IDOR on /api/users/:id - any authenticated user can read others
▸ MEDIUM Missing rate limiting on /api/login (brute-force possible)
▸ LOW Security headers missing: X-Frame-Options, CSP
 
✓ Scan complete. 4 findings. Full report → app.penetrify.cloud/reports/a3f8c

Why builders need this

Shipping fast is great.
Shipping insecure isn't.

Most security tools are built for enterprises with 6-figure budgets. Penetrify is built for everyone else.

🔓

Broken auth flows

Vibe-coded apps ship fast - and often skip email verification, session management, or password reset flows. We catch what your framework didn't scaffold.

🪪

Exposed user data

IDOR vulnerabilities, leaky APIs, misconfigured database rules. One wrong permission and your users' data is anyone's to read. We find these before someone else does.

No-code blind spots

Bubble, Supabase, Firebase - great tools, but their defaults aren't always secure. Penetrify checks the actual attack surface, not just the config panel.

How it works

Three steps. Ten minutes.
No security team required.

01

Enter your URL

Paste your app's URL into Penetrify. No agents to install, no code to add, no infrastructure changes. Works with any stack - React, Next.js, Django, Rails, no-code, anything public.

https://yourapp.com
02

AI scans everything

Our engine maps your attack surface autonomously - endpoints, auth flows, APIs, headers, configs. It thinks like a pentester: chaining findings, testing logic flaws, not just running CVE lists.

~47 checks per endpoint
03

Get actionable results

A clear report with severity ratings, reproduction steps, and fix guidance you can actually follow. No 200-page PDFs full of false positives. Just what matters and how to fix it.

CRITICAL → MEDIUM → LOW

Under the hood

Not a toy scanner.
Real pentesting methodology.

Penetrify runs the same checks a senior security engineer would - automated, repeatable, and without the $20K invoice.

🔍What we test

Our engine doesn't just run a CVE scanner. It performs active reconnaissance, maps your full attack surface, and tests application-layer logic - authentication flows, authorization boundaries, API access controls, and business logic flaws.

OWASP Top 10Auth & session mgmtIDOR detectionAPI fuzzingHeader analysisSecret exposureInjection testingCORS & CSP

🧠How we test

The AI engine chains findings together - just like a real attacker would. A leaked endpoint becomes a reconnaissance target. An unauthenticated route becomes an IDOR test. Context-aware scanning means fewer false positives and more findings that actually matter.

Autonomous reconChained exploitationContext-aware AILow false-positive rateSeverity scoring

📋What you get

Not a 200-page PDF full of noise. Every finding includes severity, reproduction steps, and concrete fix guidance written for developers - not compliance officers.

CRITBroken auth - email verification bypassFix guide →
MEDNo rate limiting on /api/loginFix guide →
LOWMissing CSP and X-Frame-OptionsFix guide →

🛡️Safe by design

Penetrify never modifies your data, never writes to your database, and never performs destructive actions. All testing is read-only and non-invasive. Your users won't notice a thing. Your app stays up.

Read-only scanningNo data modificationNon-invasiveZero downtime impactYour data stays yours
47+Checks per endpoint
OWASPTop 10 full coverage
<5%False positive rate
0Destructive actions

Real scans, real findings

What Penetrify catches
in the wild

These are representative findings from scans on early-stage SaaS products - the exact kind of vulnerabilities that get exploited before you even know they exist.

Case Study #1

The Weekend MVP That Leaked Every User's Data

SaaS Productivity Tool - Next.js + Supabase · Shipped in 48 hours
2Critical
3Medium
8 minScan time

The situation

A solo founder built a task management SaaS during a weekend hackathon and launched on Product Hunt within days. The app used Next.js with Supabase for auth and database. Everything looked polished - clean UI, working login, Stripe integration. Within the first week, 200+ users signed up.

What Penetrify found

  • CRITICALSupabase Row Level Security (RLS) policies not enabled on the profiles table - any authenticated user could query all user records via the REST API
  • CRITICALEmail verification not enforced - accounts could be created with arbitrary emails and immediately access protected endpoints
  • MEDIUMAPI route /api/export accepted user ID as query parameter with no ownership check (IDOR)
  • MEDIUMNo rate limiting on login endpoint - brute-force attacks possible at ~500 req/s
  • MEDIUMJWT tokens stored in localStorage with no expiry rotation

The outcome

The founder fixed the RLS policies and email verification within 2 hours using Supabase's dashboard - no code rewrite needed. The IDOR was a one-line middleware fix. Total remediation time: half a day. Without the scan, these issues could have sat exposed for months. The Supabase RLS gap alone would have been a reportable data breach under GDPR.
Case Study #2

The No-Code Marketplace With Admin-Level API Keys in the Frontend

Two-sided Marketplace - Bubble.io + Stripe Connect · 1,500 users
1Critical
4Medium
12 minScan time

The situation

A two-person team built a freelance marketplace using Bubble.io, handling payments through Stripe Connect. The platform had processed $40K+ in transactions and was growing through word of mouth. Neither founder had a security background - they assumed Bubble's platform handled security for them.

What Penetrify found

  • CRITICALStripe Secret API key exposed in client-side JavaScript bundle - full read/write access to payment data, refunds, and customer records
  • MEDIUMBubble privacy rules misconfigured - seller bank account details visible to any logged-in user via API calls
  • MEDIUMPassword reset flow accepted any email without verification, enabling account enumeration
  • MEDIUMNo Content Security Policy - reflected XSS possible through search parameter injection
  • LOWCORS policy set to wildcard (*) allowing any origin to make authenticated requests

The outcome

The exposed Stripe key was the most urgent issue - with it, an attacker could have issued refunds, accessed PII, or redirected payouts. The founders rotated the key immediately. The Stripe key had been exposed for 4 months without anyone noticing. Total cost of not finding this: potentially the entire business.
Case Study #3

The AI Wrapper Startup That Forgot About Its Own API

AI Writing Tool - Python/FastAPI + React · YC Application Stage
1Critical
2Medium
7 minScan time

The situation

A technical founder built an AI writing assistant using FastAPI on the backend and React on the frontend. The product proxied calls to OpenAI's API, adding custom prompts and user history. The app was gaining traction on Twitter/X and the founder was preparing a YC application. Roughly 800 users on a freemium model.

What Penetrify found

  • CRITICALOpenAI API key passed to frontend in response headers - any user could extract it and use the founder's API credits directly (est. $2K+/month burn)
  • MEDIUMUser prompt history endpoint /api/history/:userId had no auth middleware - all users' conversation logs accessible by changing the ID
  • MEDIUMDebug mode still enabled in production (FastAPI(debug=True)) - full stack traces with internal paths and dependency versions exposed on errors
  • LOWNo HTTPS redirect - HTTP version of the app served without redirect, allowing session hijacking on public networks

The outcome

The founder was unknowingly burning money from API key abuse - unexplained spikes in OpenAI billing turned out to be external usage via the leaked key. The prompt history IDOR was especially sensitive. All fixes were deployed within 3 hours - most were single-line changes. The founder now runs a Penetrify scan before every major release.

Who's behind this

Built by a CTO,
not a marketing team.

Viktor Bulanek

Viktor Bulanek

Founder & CTO

20+ years building and securing production systems at scale - from fintech platforms processing millions in transactions to IoT infrastructure managing real-time energy grids. I built Penetrify because startups deserve the same security testing that enterprises pay $50k+ for.

MSc IT Security - Masaryk University4x Ex-CTOFintech · IoT · SaaS

Pricing

Simple, transparent pricing.

No hidden fees. No sales calls. Pick the plan that fits your security needs.

Starter
$50 / month

Perfect for side projects and early MVPs.

  • 1 penetration test per month
  • Automatic and semi-automatic modes
  • Standard vulnerability scanning
  • PDF reports
  • Email support
  • 30-day result history
Get started
Professional
$600 / month

For growing products with real users.

  • 20 penetration tests per month
  • All Starter features
  • Advanced vulnerability detection
  • Custom report branding
  • API access
  • Priority support (24h response)
  • 90-day result history
  • Team collaboration (up to 5 users)
Start Pro trial →
Enterprise
$2,500 / month

For startups approaching compliance.

  • 100 penetration tests per month
  • All Professional features
  • Dedicated security consultant
  • Custom integrations
  • SLA guarantee (99.9% uptime)
  • Phone support
  • Unlimited result history
  • Unlimited team members
  • White-label reports
  • Compliance reporting (SOC 2, ISO 27001)
Contact us →

FAQ

Got questions?

Quick answers to the most common questions about Penetrify.

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Make sure you deserve it.

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