/cursor-tutorials

How to find security issues using Cursor

Learn how to find and fix security issues using Cursor with practical steps, smart tips, and efficient workflows for safer, stronger code.

Matt Graham, CEO of Rapid Developers

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How to find security issues using Cursor

To find security issues using Cursor, the most reliable approach is to use Cursor as a smart assistant that scans your codebase, points out risky patterns, and helps you reason through vulnerabilities — but you still verify everything manually. Cursor is great at highlighting issues across multiple files, explaining unfamiliar code, and suggesting safer patterns, as long as you keep it grounded by showing it the real code and asking specific questions. The workflow is: select suspicious code, ask Cursor to review for security concerns, run your app or tests in the integrated terminal, and double‑check every suggestion.

 

What “using Cursor to find security issues” actually means

 

When developers talk about using Cursor for security reviews, they’re not talking about some built‑in magic scanner. Cursor does not automatically secure your code. Instead, it’s a VS Code–based editor with an AI assistant that can analyze the files you select. You still rely on your machine’s runtime, your dependencies, your linters, and your own judgment. The power comes from using Cursor to locate patterns that are easy to miss manually, like unsafe queries, missing validation, weak crypto, bad error handling, or exposed environment variables.

  • You highlight code → Cursor explains risks. This is where multi‑file reasoning helps.
  • You ask Cursor to audit a folder. It can scan through all the files in that folder and comment on vulnerabilities.
  • You run tests or security tools in the built‑in terminal. Cursor doesn’t replace scanners like bandit (Python) or npm audit, it complements them.
  • You keep edits controlled. Always review diff previews before applying suggested fixes.

 

Step-by-step: safe and practical workflow

 

Here’s the workflow I use daily on real projects. It works consistently and avoids typical AI pitfalls.

  • Select a file or folder where you suspect issues, then press the Chat (“Cmd+K” on Mac) to open an inline request. Ask something like: “Review this file for common security vulnerabilities.” Cursor will point out risky patterns such as missing input validation, unsafe regex, or unescaped SQL queries.
  • Use Cursor’s multi-file awareness. You can ask: “Check how this API endpoint validates user data. Trace where the request body flows.” Cursor can follow imports and detect if data reaches a dangerous operation without sanitization.
  • Ask Cursor to locate specific vulnerability classes. Examples: “Search the project for any direct string concatenation used in SQL queries.” or “Find all places where user input is used in filesystem operations.” This avoids hallucination because you’re asking for concrete matches in real files.
  • Run trustworthy security tools in the integrated terminal. Examples:

    Python:
bandit -r .
pip install safety && safety check
  • Node:
npm audit
  • Then ask Cursor: “Explain the audit results and show me where in my code those vulnerabilities matter.”
  • Use Cursor to explain third‑party dependencies. Many vulnerabilities come from packages. Ask: “Explain what this dependency does and whether it has known security concerns.” If there’s a CVE linked to that package, Cursor can summarize it for you.
  • Use safe refactors. When Cursor suggests a fix, use the diff preview. This is critical. Never blindly accept a large refactor without reading it. Cursor can misinterpret frameworks or change logic unexpectedly.

 

Examples of how to check real vulnerabilities in Cursor

 

Below are examples you can use directly in Cursor to identify specific security problems.

  • SQL Injection Example

If you select code like this Node.js snippet and ask Cursor “Is this safe?” it will correctly identify the issue:

// BAD: direct string concatenation
const result = await db.query(
  "SELECT * FROM users WHERE email = '" + req.body.email + "'"
);
  • Cursor will typically suggest parameterized queries:
// GOOD: uses placeholders
const result = await db.query(
  "SELECT * FROM users WHERE email = $1", 
  [req.body.email]
);
  • XSS Example (React)
// BAD: dangerouslySetInnerHTML with untrusted data
<div dangerouslySetInnerHTML={{ __html: req.query.content }} />
  • Ask Cursor: “Identify all React components using dangerouslySetInnerHTML.” It will scan your project and list them.
  • Secrets Exposure Example
// Search in terminal for any accidental key exposure
grep -R "API_KEY" .
  • Then paste matches into Cursor and ask: “Is this safe to commit?”

 

How to avoid common AI pitfalls

 

  • Never assume Cursor is correct by default. It can misunderstand obscure frameworks or custom middleware.
  • Always verify suggested changes. Use diff view, run tests, and manually read updates.
  • Keep questions tied to actual code. Cursor is most accurate when grounded in real files, not abstract prompts.
  • Don’t rely on Cursor to test security. Use real tools like bandit, npm audit, pytest, curl, Postman, etc.

 

The mindset that makes Cursor effective for security

 

Think of Cursor as a fast, knowledgeable reviewer sitting next to you. It won’t magically secure your project, but it will:

  • Find patterns you forgot to check
  • Trace data flows across files quickly
  • Explain complex code you inherited
  • Suggest safer alternatives
  • Save hours in manual review time

With the correct workflow — grounding it in real code, verifying everything, and using proper terminal tools — Cursor becomes a strong assistant for catching vulnerabilities early and making your codebase safer.

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