OWASP Top 10 for AI-Built Apps: What Vibe Coders Need to Know
Quick answer: AI-built apps are vulnerable to the OWASP Top 10 because AI models reproduce insecure patterns like frontend-only access control and string-concatenated SQL. To secure your app, you must enforce server-side RLS, use parameterized queries, and validate all inputs. SimplyScan's data shows 30% of AI apps have high-severity issues.
By Daniel A · Kraftwire Software
· 9 min readAI-built applications are vulnerable to the OWASP Top 10 because AI models reproduce insecure patterns found in their training data, such as frontend-only access control and string-concatenated SQL queries. To secure a vibe-coded app, you must enforce Row Level Security (RLS) at the database level, use parameterized queries, and validate all user inputs on the server side.
Vibe coding · the process of building full-stack applications using natural language prompts in tools like Lovable, Bolt.new, Cursor, or Windsurf · has fundamentally changed how we ship software. However, the speed of generation often outpaces the implementation of security guardrails.
This suggests that while AI tools get the "basics" right, they frequently miss deep-seated architectural security requirements.
A01: Broken Access Control
Broken Access Control is the most common vulnerability in modern web applications. In the context of vibe coding, this usually manifests as "security by obscurity" or frontend-only checks.
How It Shows Up in AI Apps
AI generators often create beautiful UIs that hide admin buttons from regular users but fail to secure the underlying API endpoints. If an attacker knows the URL /api/admin/delete-user, the lack of server-side verification allows them to execute the command regardless of what the UI shows.
The Fix: Server-Side Enforcement
You must implement Row Level Security (RLS) or middleware-based authorization. Never trust the frontend to enforce permissions.
A02: Cryptographic Failures
This category involves the protection of data in transit and at rest. AI tools may default to older, less secure methods to ensure "compatibility" or simplicity.
How It Shows Up in AI Apps
We often see AI-generated code that hardcodes secrets, uses weak hashing algorithms like MD5 for passwords, or fails to enforce SSL/TLS properly.
The Fix: Standard Libraries
Always use modern cryptographic standards like Argon2 for password hashing and AES-256 for encryption. Ensure your environment variables are handled securely and never committed to version control. Use our secret scanner to check for leaked keys.
A03: Injection Attacks
Injection occurs when untrusted data is sent to an interpreter as part of a command. While ORMs have made SQL injection rarer, AI-generated "raw SQL" queries remain a significant risk.
How It Shows Up in AI Apps
If you prompt an AI to "write a custom search query," it might use string concatenation: "SELECT * FROM users WHERE name = '" + userInput + "'". This is a classic code injection vulnerability.
The Fix: Parameterization
Always use parameterized queries or a trusted ORM. For vibe coders using Supabase or Firebase, ensure your client-side calls are restricted by strict security rules.
A04: Insecure Design
Insecure design is a broad category that focuses on flaws in the application's logic and architecture rather than just the code implementation.
How It Shows Up in AI Apps
AI builds what you ask for, not the "boring" security features you forgot to mention. If you ask for a "referral system," the AI might not include rate limiting, allowing an attacker to generate 1,000,000 fake referrals in minutes.
The Fix: Security Guardrails
Before shipping, review the business logic. Does the app have rate limiting? Does it have account lockout mechanisms? Use a vibe coding security checklist to ensure these architectural bases are covered.
A05: Security Misconfiguration
This is the "low-hanging fruit" for attackers. It includes default passwords, unnecessary features enabled, and missing security headers.
How It Shows Up in AI Apps
Many AI-built apps ship with DEBUG=true or verbose error messages that leak database schema details to the public. Missing security headers like CSP (Content Security Policy) are also rampant.
The Fix: Hardening the Stack
Disable all debugging features in production. Use a CSP generator to restrict where scripts can be loaded from. SimplyScan detects missing headers and exposed configuration files in ~30 seconds.
A06: Vulnerable and Outdated Components
AI models are trained on snapshots of data. This means the package.json an AI generates today might include a library version with a known CVE from six months ago.
How It Shows Up in AI Apps
AI tools prioritize "what works" over "what is latest." They may suggest abandoned packages or versions of libraries like lodash or express that have unpatched vulnerabilities.
The Fix: Continuous Auditing
Run npm audit or yarn audit immediately after the AI generates your boilerplate. Keep your dependencies updated and use automated tools to monitor for new CVEs.
A07: Identification and Authentication Failures
This covers weaknesses in how the app confirms a user's identity, including session management and password strength.
How It Shows Up in AI Apps
Generated auth flows often lack Multi-Factor Authentication (MFA) or allow incredibly weak passwords. They may also fail to invalidate sessions properly upon logout.
The Fix: Use Managed Auth
Instead of asking an AI to "write a login script," use managed providers like Supabase Auth, Clerk, or Kinde. These services handle the OWASP A07 requirements by default.
A08: Software and Data Integrity Failures
This category focuses on the integrity of the code itself and the update pipeline.
How It Shows Up in AI Apps
Vibe coders often copy-paste code snippets from various AI chats without verifying the source or the integrity of the included scripts. This can lead to the accidental inclusion of malicious CDN links.
The Fix: Subresource Integrity
Use SRI hashes for any external scripts. Ensure your CI/CD pipeline is secure and that you are using lockfiles ( package-lock.json) to pin dependency versions.
A09: Security Logging and Monitoring Failures
If your app is being attacked right now, would you know? Most AI-generated apps have zero logging for security events.
How It Shows Up in AI Apps
AI tools rarely generate code for logger.warn('Failed login attempt'). Without these logs, you cannot detect credential stuffing or brute force attacks.
The Fix: Observability
Implement centralized logging. Monitor for spikes in 4xx and 5xx errors. Set up uptime monitoring with Slack or Linear integrations so you are alerted the moment your site's health changes.
A10: Server-Side Request Forgery (SSRF)
SSRF occurs when an application fetches a remote resource without validating the user-supplied URL.
How It Shows Up in AI Apps
Features like "import from URL" or "generate link preview" are highly susceptible.
The Fix: Allowlisting
Never allow the server to fetch arbitrary URLs. Use an allowlist of approved domains and block all requests to internal/private IP ranges.
The Emerging "Agentic" Risks (ASI)
As we move toward agentic AI · where the AI doesn't just write code but takes actions · new risks emerge.
- ASI01: Agent Goal Hijack: An attacker uses prompt injection to change the AI's objective.
- ASI02: Tool Misuse: The AI agent uses a connected tool (like a database or email API) in an unintended way.
- ASI03: Identity Abuse: The agent operates with excessive permissions, leading to data leaks.
Speed vs. Security: The Vibe Coder's Dilemma
There is a common misconception that security slows down development. However, the data suggests otherwise. A secure app is often a fast, well-structured app.
By integrating security into your "vibe," you aren't just checking boxes; you are building a professional-grade product. Use SimplyScan to run a free 8-dimension health check on your app. We detect exposed API keys, broken RLS, and performance bottlenecks in under 30 seconds, helping you ship with confidence.
The Ultimate Vibe Coding Security Checklist
- Database: Is RLS enabled and tested?
- Auth: Are you using a managed provider with MFA?
- Inputs: Are all server-side inputs validated and sanitized?
- Secrets: Are all API keys in
.envfiles and not the frontend? - Headers: Are
X-Frame-OptionsandContent-Security-Policyset? - Monitoring: Do you have uptime alerts and security logging?
Summary Table: OWASP for AI Apps
- A01: Access Control · Use RLS; don't rely on frontend "hidden" states.
- A03: Injection · Use ORMs; avoid string concatenation in queries.
- A05: Misconfiguration · Disable debug mode; add security headers.
- A06: Outdated Components · Run
npm audit; keep dependencies fresh. - A10: SSRF · Validate all user-provided URLs; block private IPs.
The "vibe" is powerful, but it isn't magic. Treat AI-generated code as a draft that requires a professional security review. Run a free scan today to see where your app stands.
FAQ
What is the OWASP Top 10?
The OWASP Top 10 is a standard awareness document for developers and web application security. It represents a broad consensus about the most critical security risks to web applications. For vibe coders, it serves as the primary roadmap for what to check after an AI tool generates a "working" application.
Which OWASP vulnerability is most common in AI-generated apps?
Broken Access Control (A01) is the most frequent. AI tools often focus on the user experience, creating frontend logic that hides data but failing to secure the backend API.
Does using AI coding tools make my app less secure?
Not inherently, but it increases the risk of "copy-paste" vulnerabilities. AI models are trained on public code, which includes millions of insecure examples. If you don't explicitly prompt for security or review the output, the AI will likely provide the simplest, most functional (and often least secure) solution.
Is npm audit enough to cover the OWASP Top 10?
No. npm audit only covers A06 (Vulnerable and Outdated Components). It cannot detect broken access control, insecure design, or server-side request forgery. You need a comprehensive scanner like SimplyScan to check for architectural and configuration risks that npm audit misses.
Do I need to worry about SSRF if my app never fetches user-supplied URLs?
If your app has zero features that interact with external URLs (no link previews, no webhooks, no image proxies), your SSRF risk is minimal. However, many AI-built apps include these features by default. Always check if your server is making fetch or axios calls based on user input.
How can I test my app against the OWASP Top 10?
Start with an automated scan at SimplyScan to find the "low-hanging fruit" like exposed secrets and missing headers. Then, perform a manual review of your RLS policies and authentication flows. Finally, use our standalone tools to verify specific components like SSL strength and email security.
Frequently asked questions
What is the OWASP Top 10?
The OWASP Top 10 is a standard awareness document for developers and web application security. It represents a broad consensus about the most critical security risks to web applications. For vibe coders, it serves as the primary roadmap for what to check after an AI tool generates a "working" application.
Which OWASP vulnerability is most common in AI-generated apps?
Broken Access Control (A01) is the most frequent. AI tools often focus on the user experience, creating frontend logic that hides data but failing to secure the backend API. SimplyScan's data shows that 30% of AI-built apps have high-severity issues, many of which stem from this disconnect between UI and API security.
Does using AI coding tools make my app less secure?
Not inherently, but it increases the risk of "copy-paste" vulnerabilities. AI models are trained on public code, which includes millions of insecure examples. If you don't explicitly prompt for security or review the output, the AI will likely provide the simplest, most functional (and often least secure) solution.
Is npm audit enough to cover the OWASP Top 10?
No. npm audit only covers A06 (Vulnerable and Outdated Components). It cannot detect broken access control, insecure design, or server-side request forgery. You need a comprehensive scanner like SimplyScan to check for architectural and configuration risks that npm audit misses.
Do I need to worry about SSRF if my app never fetches user-supplied URLs?
If your app has zero features that interact with external URLs (no link previews, no webhooks, no image proxies), your SSRF risk is minimal. However, many AI-built apps include these features by default. Always check if your server is making fetch or axios calls based on user input.
How can I test my app against the OWASP Top 10?
Start with an automated scan at SimplyScan to find the "low-hanging fruit" like exposed secrets and missing headers. Then, perform a manual review of your RLS policies and authentication flows. Finally, use our standalone tools to verify specific components like SSL strength and email security.