Question 1

Is Cursor-generated code secure?

Accepted Answer

Cursor generates code by predicting patterns from its training data, which means it can reproduce both good and bad security practices. The AI may generate code with hardcoded credentials, weak authentication logic, or missing input validation because these patterns exist in its training corpus. Security quality depends heavily on the prompts you provide and whether you explicitly request secure implementations. Generated code should always be reviewed for security issues before deployment. UNPWNED scans your deployed application to catch vulnerabilities that may have been introduced by AI code generation.

Question 2

Does Cursor introduce security vulnerabilities?

Accepted Answer

Research on AI code assistants, including studies published by Stanford and NYU, has found that developers using AI code generation tools produce code with more security vulnerabilities compared to writing code manually. Cursor can introduce issues like SQL injection through string concatenation, cross-site scripting via unsanitized output, and insecure deserialization. The AI may also suggest deprecated cryptographic functions or insecure random number generators. These vulnerabilities are often subtle and pass functional testing while remaining exploitable. UNPWNED detects these common AI-introduced vulnerabilities across your entire application.

Question 3

How to review Cursor code for security?

Accepted Answer

Review every function that handles user input for proper validation and sanitization. Check database queries for parameterized statements instead of string interpolation, and verify that authentication and authorization checks are present on all protected routes. Look for hardcoded secrets, insecure HTTP calls where HTTPS should be used, and missing error handling that could leak stack traces. Pay special attention to code that Cursor auto-completed, as these completions prioritize functionality over security. UNPWNED automates many of these security checks and can serve as a final verification after manual review.

Question 4

Does Cursor add SQL injection protection?

Accepted Answer

Cursor does not consistently generate SQL-injection-safe code. Depending on the context and prompt, it may produce queries using string concatenation or template literals instead of parameterized queries or prepared statements. When using ORMs like Prisma or Drizzle, the risk is lower since these tools parameterize by default, but raw SQL snippets generated by Cursor should always be reviewed. SQL injection remains one of the OWASP Top 10 vulnerabilities and can lead to complete database compromise. UNPWNED checks your application for SQL injection vulnerabilities and other injection attack vectors.

Question 5

Can Cursor code be trusted for authentication?

Accepted Answer

Authentication code generated by Cursor should be treated with extra caution. The AI may produce implementations with weak password hashing algorithms, missing brute-force protection, insecure session management, or flawed JWT validation logic. Authentication is a critical security boundary where even small mistakes can lead to complete account takeover. Best practice is to use established authentication libraries like NextAuth, Clerk, or Supabase Auth rather than relying on Cursor-generated custom auth code. UNPWNED tests your authentication endpoints for common weaknesses and misconfigurations.

Question 6

Does Cursor generate secure API endpoints?

Accepted Answer

Cursor-generated API endpoints frequently lack comprehensive security measures. Common omissions include missing rate limiting, absent CORS configuration, no input validation middleware, and insufficient error handling that may expose internal details. The AI tends to generate the happy path - code that works when given expected input - without adding defensive checks for malicious or malformed requests. API endpoints are the primary attack surface for web applications and require careful security review. UNPWNED scans your API endpoints for authentication gaps, missing headers, CORS misconfigurations, and rate limiting absence.

Question 7

How to security test Cursor-generated projects?

Accepted Answer

Start with static analysis using tools like ESLint security plugins to catch common patterns like eval() usage and hardcoded secrets. Then deploy to a staging environment and run dynamic analysis that tests your running application for vulnerabilities like XSS, injection, and broken access control. Check your dependency tree for known CVEs using npm audit or similar tools. Review all environment variable handling to ensure secrets are not bundled into client-side code. UNPWNED combines static and dynamic analysis in a single scan, running 700+ security checks across 40 scanners relevant to modern web applications built with AI assistance.

Question 8

Does Cursor handle secrets safely?

Accepted Answer

Cursor does not have built-in awareness of secret management best practices and may place API keys, database URLs, or authentication tokens directly in source code files. The AI follows patterns from its training data, which includes many examples of hardcoded credentials in tutorials and Stack Overflow answers. Secrets in source code can end up in version control history, client-side bundles, and error logs. Always use environment variables and verify that .env files are in your .gitignore. UNPWNED scans your deployed application for exposed secrets, API keys, and credentials that may have been inadvertently included by AI-generated code.

Question 9

What are common security issues in Cursor code?

Accepted Answer

The most frequent security issues in Cursor-generated code include SQL injection from string-concatenated queries, cross-site scripting from unsanitized user output, missing authentication middleware on API routes, and hardcoded secrets in source files. Other common problems are insecure direct object references (IDOR) where user authorization is not checked, overly permissive CORS settings, missing security headers, and use of deprecated cryptographic functions. These issues are not unique to Cursor but are amplified by the speed at which AI tools generate code. UNPWNED checks for all of these vulnerability categories in a single automated scan.

Question 10

Should I security scan after using Cursor?

Accepted Answer

Yes, running a security scan after using any AI code generation tool is strongly recommended. AI assistants like Cursor accelerate development but can introduce subtle vulnerabilities that pass code review, especially when generating boilerplate for authentication, database access, and API routes. A security scan acts as an automated safety net that catches issues you might miss during manual review. This is particularly important before production deployments, after major feature additions, and whenever Cursor generates code that handles user data or authentication. UNPWNED is purpose-built to scan AI-generated web applications and provides actionable fix recommendations for every finding.

Cursor Security Questions