OWASP Top 10 for AI-Built Apps: What Vibe Coders Need to Know
The OWASP Top 10 mapped to AI-generated code. Learn which vulnerabilities AI tools introduce most often and how to fix them.
By Daniel A · Kraftwire Software
· 9 min readKey Takeaway
The OWASP Top 10 is the definitive list of the most critical web application security risks. AI-generated applications are vulnerable to all of them, plus some AI-specific risks. This guide maps each OWASP category to real issues found in AI-built apps.
Why OWASP Matters for AI Apps
The Open Web Application Security Project (OWASP) Top 10 is updated periodically to reflect the most common and dangerous vulnerabilities in web applications. It is the standard reference used by security teams, auditors, and compliance frameworks worldwide.
AI-generated applications are not exempt from these risks. In fact, AI tools tend to reproduce the same vulnerability patterns because they learned from code that contains those patterns. Understanding the OWASP Top 10 in the context of AI-built apps helps you know exactly what to look for.
A01: Broken Access Control
Access control determines what authenticated users are allowed to do. Broken access control means users can act outside their intended permissions.
How This Shows Up in AI Apps
AI code generators frequently create applications where access control exists only in the frontend. A React component might hide an admin button from non-admin users, but the API endpoint behind that button accepts requests from anyone.
Real Example
An AI-generated dashboard app had a /api/admin/users endpoint that returned all user data. The frontend only showed this page to admin users, but anyone could call the endpoint directly and get the full user list, including email addresses and account details.
How to Fix It
Implement access control at the server level. Use database-level policies (like RLS) to enforce who can access which data. Never rely on frontend visibility as a security measure.
A02: Cryptographic Failures
This category covers issues with how applications protect sensitive data. Weak encryption, missing encryption, hardcoded keys, and improper certificate validation all fall here.
How This Shows Up in AI Apps
AI generators sometimes store sensitive data in plain text, use weak hashing algorithms, or hardcode encryption keys in source code. They might also generate code that skips TLS certificate validation for convenience.
How to Fix It
Use established cryptographic libraries. Never implement your own encryption. Store secrets in environment variables. Use HTTPS everywhere. Hash passwords with bcrypt or argon2, not MD5 or SHA-1.
A03: Injection
Injection attacks occur when untrusted data is sent to an interpreter as part of a command or query. SQL injection is the most well-known, but there are also NoSQL injection, LDAP injection, and OS command injection.
How This Shows Up in AI Apps
AI tools sometimes generate database queries using string concatenation instead of parameterized queries. This is especially common when the AI generates raw SQL instead of using an ORM.
How to Fix It
Always use parameterized queries or an ORM. Never build queries by concatenating user input with SQL strings. Validate and sanitize all inputs before they reach any interpreter.
A04: Insecure Design
Insecure design refers to missing or ineffective security controls in the application architecture. This is different from implementation bugs. It is about fundamental design decisions that leave the application vulnerable.
How This Shows Up in AI Apps
AI generators build what you ask for, not what you need. If you ask for a user registration system, you get signup and login. You do not automatically get rate limiting, account lockout, email verification, or abuse prevention.
How to Fix It
Think about security requirements during the design phase. Before generating code, consider: What could go wrong? Who might abuse this feature? What happens if someone sends 10,000 requests per second?
A05: Security Misconfiguration
This covers incorrect or missing security settings at any level of the application stack. Default credentials, unnecessary features enabled, overly permissive permissions, and missing security headers all count.
How This Shows Up in AI Apps
AI-generated applications often ship with development defaults. Debug mode enabled, verbose error messages, permissive CORS policies, and missing security headers are extremely common.
How to Fix It
Review your deployment configuration. Disable debug mode. Set proper CORS origins. Add security headers. Remove default accounts and test data.
A06: Vulnerable and Outdated Components
Using components with known vulnerabilities is one of the easiest issues to exploit because public vulnerability databases tell attackers exactly which versions are affected and how to attack them.
How This Shows Up in AI Apps
AI tools install packages to build features, but they do not always choose the latest or most secure versions. They might suggest packages that are no longer maintained or have known CVEs.
How to Fix It
Run npm audit or yarn audit after generating your project. Update vulnerable packages. Replace unmaintained libraries. Set up automated dependency scanning in your CI pipeline.
A07: Identification and Authentication Failures
This covers weaknesses in authentication mechanisms. Weak passwords, missing MFA, improper session management, and credential stuffing vulnerabilities all fall here.
How This Shows Up in AI Apps
Generated authentication flows often allow weak passwords, skip email verification, and do not implement account lockout after failed attempts. Session tokens might not expire or rotate properly.
How to Fix It
Enforce minimum password length. Require email verification. Implement rate limiting on login endpoints. Support MFA. Set reasonable session timeouts and rotate tokens after authentication.
A08: Software and Data Integrity Failures
This category covers code and infrastructure that does not protect against integrity violations. Using packages from untrusted sources, missing integrity checks on updates, and insecure CI/CD pipelines all qualify.
How This Shows Up in AI Apps
AI-generated apps install dependencies without integrity verification. If an attacker compromises a popular npm package, every app that installs it gets the malicious code.
How to Fix It
Use lockfiles to pin exact dependency versions. Verify package integrity with checksums. Review the supply chain for critical dependencies. Use signed commits in your repository.
A09: Security Logging and Monitoring Failures
Without proper logging and monitoring, you cannot detect attacks, investigate incidents, or prove compliance. Most AI-generated apps have minimal or no security logging.
How This Shows Up in AI Apps
AI generators build features, not observability. The generated code rarely includes logging for authentication events, authorization failures, or data access patterns.
How to Fix It
Log authentication events (successful and failed). Log authorization failures. Monitor for unusual patterns (spike in failed logins, unexpected data access). Set up alerts for critical events.
A10: Server-Side Request Forgery (SSRF)
SSRF occurs when an application fetches a remote resource based on user-supplied input without validating the destination. Attackers can use this to access internal services, read metadata endpoints, or scan internal networks.
How This Shows Up in AI Apps
If your app fetches URLs provided by users (for link previews, webhook delivery, or file imports), it might be vulnerable to SSRF. AI-generated URL fetching code rarely includes validation of the target address.
How to Fix It
Validate and sanitize all user-supplied URLs. Block requests to private IP ranges (10.x, 172.16.x, 192.168.x, 127.x). Use allowlists for permitted domains when possible. Do not follow redirects blindly.
Your OWASP Checklist for AI Apps
Access control enforced server-side, not just in the UI
Sensitive data encrypted in transit and at rest
All database queries parameterized
Security considered during design, not just implementation
Production configuration reviewed and hardened
Dependencies audited and updated
Authentication hardened with rate limiting and MFA
Dependency integrity verified with lockfiles
Security events logged and monitored
URL inputs validated against SSRF
Scan Your App Against OWASP
SimplyScan checks your application against common OWASP vulnerabilities including broken access control, security misconfigurations, and exposed secrets. Run a scan to see how your AI-built app measures up.