AI Pentest for Web Applications
AI-powered penetration testing that finds real vulnerabilities in SPAs, server-rendered apps, and AI-generated web applications. Automated security testing that thinks like an attacker.
AI-Generated Apps Are Especially Vulnerable
Vibe-coded apps from Lovable, Bolt, and Cursor ship with predictable vulnerability patterns that AI pentest agents are trained to find. These tools generate code fast but often skip authentication checks, expose API keys in client bundles, and leave authorization wide open.
Web Application Pentest Checklist
Follow these 10 steps to thoroughly pentest your web application. Critical items represent the most commonly exploited attack vectors.
Map application attack surface
Identify all routes, forms, API calls, and user-facing features that could be targeted by attackers.
Test authentication flows
Probe login, registration, password reset, and session management for bypass vulnerabilities and logic flaws.
Probe authorization boundaries
Verify that users cannot access resources or actions beyond their assigned roles and permissions.
Scan for XSS vulnerabilities
Test all user inputs for reflected, stored, and DOM-based cross-site scripting attack vectors.
Test SQL/NoSQL injection vectors
Attempt injection attacks on every database query path including search, filters, and dynamic queries.
Check CSRF protection
Verify that state-changing requests include proper anti-CSRF tokens and SameSite cookie attributes.
Analyze client-side JavaScript bundles
Inspect bundled JavaScript for hardcoded secrets, API keys, and exposed internal endpoints.
Test file upload functionality
Attempt to upload malicious files, bypass file type restrictions, and test for path traversal in upload handlers.
Verify security headers
Check for Content-Security-Policy, X-Frame-Options, Strict-Transport-Security, and other protective headers.
Test WebSocket connections
Validate authentication on WebSocket handshakes and test for message injection and authorization bypass.
Benefits of AI Pentest for Web Apps
Tests Like a Real Attacker
HighAI pentest agents chain vulnerabilities together the way human attackers do, finding exploitable paths not just individual bugs.
Covers OWASP Top 10 Automatically
HighEvery scan tests for all OWASP Top 10 categories including injection, broken access control, and security misconfiguration.
Works With Any Framework
MediumWhether your app is built with React, Next.js, Vue, or any other framework, AI pentest adapts to the technology stack.
No Code Changes Required
MediumPoint the AI agent at your running application and it discovers and tests everything without instrumenting your code.
Common Vulnerabilities AI Finds in Web Applications
Broken Access Control
CriticalUsers accessing admin panels, viewing other users' data, bypassing paywalls. AI tests every route with different user roles to find access control gaps. The #1 web vulnerability per OWASP.
Cross-Site Scripting / XSS
HighStored, reflected, and DOM-based XSS from unsanitized user inputs. AI agents inject payloads into every input field, URL parameter, and header. AI-generated apps from Lovable and Bolt frequently use dangerouslySetInnerHTML without sanitization.
SQL/NoSQL Injection
CriticalAI tests every database query path for injection. Supabase apps with custom RPC functions and Firebase apps with unvalidated Firestore queries are common targets.
Exposed API Keys
HighAI scans JavaScript bundles, source maps, and network requests for leaked Stripe keys, Supabase anon keys with overly permissive RLS, and OpenAI API keys. Vibe-coded apps leak secrets at 3x the rate of hand-coded apps.
Authentication Bypass
CriticalWeak session handling, JWT vulnerabilities, and password reset flaws. AI tests login flows, token validation, and session management end-to-end.
Missing Security Headers
MediumCSP, HSTS, X-Frame-Options, X-Content-Type-Options. AI checks every response for proper security header configuration.
Why AI-Generated Web Apps Need Extra Testing
Apps built with AI coding tools ship 10x faster than traditionally coded apps. But speed comes at a cost: AI code generators optimize for functionality, not security. They generate working login flows without rate limiting, database queries without parameterization, and API endpoints without authorization middleware.
In VibeEval's analysis of 1,500+ AI-generated web applications, 73% had at least one critical vulnerability. The most common: missing Row Level Security on Supabase tables (found in 41% of Lovable apps), exposed API keys in client-side code (34%), and authentication bypass through direct API access (28%).
Traditional web scanners like OWASP ZAP and Burp Suite find some of these issues, but they can't understand application context. They don't know that /api/admin should require admin authentication, or that one user shouldn't be able to read another user's /api/orders/:id. AI pentest agents understand these business rules and test them systematically.
Web Application Pentest Scope
Frontend
React/Next.js/Vue components, client-side routing, form validation bypass, local storage data exposure, source map leaks
Backend APIs
REST/GraphQL endpoint security, authentication/authorization, input validation, rate limiting, error handling
Database
SQL injection, NoSQL injection, RLS policy validation, data exposure through API responses
Infrastructure
HTTPS configuration, security headers, CORS policies, cookie flags, CSP directives
Third-Party Integrations
Payment flows (Stripe), auth providers (Auth0, Clerk), file upload services, analytics leaks
Related Resources
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