DevBolt
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How do I scan code for security vulnerabilities online?

Paste your JavaScript or TypeScript code and click Scan to detect hardcoded secrets, SQL injection, XSS, command injection, SSRF, prototype pollution, and 20+ other vulnerability patterns. Each finding includes severity, CWE reference, and fix guidance. All analysis runs in your browser — your code is never uploaded.

Detect SQL injection
Input
app.get("/users", (req, res) => {
  const query = "SELECT * FROM users " +
    "WHERE id = " + req.params.id;
  db.query(query);
});
Output
✗ CRITICAL: SQL Injection (CWE-89)
Line 2: String concatenation in SQL query
  with unsanitized user input

Fix: Use parameterized queries
  db.query(
    "SELECT * FROM users WHERE id = $1",
    [req.params.id]
  );

Security Grade: F

AI Code Security Scanner

Paste JavaScript or TypeScript code and scan for common security vulnerabilities. Detects hardcoded secrets, injection flaws, XSS, SSRF, prototype pollution, and more. 100% client-side — your code never leaves your browser.

Samples:
Ctrl+Enter to scan

Tips & Best Practices

Pro Tip

Scan code before committing, not after deployment

Integrate security scanning into your pre-commit hooks or CI pipeline. Finding a hardcoded API key in a PR review is 100x cheaper than finding it in production logs after a breach. Shift security left — the earlier you catch vulnerabilities, the cheaper and safer the fix.

Common Pitfall

Not all findings are exploitable — prioritize by context

A scanner flags Math.random() in all contexts, but using it for CSS animation jitter is fine — only for tokens and secrets is it dangerous. Focus on critical and high severity findings first. For each finding, ask: can an attacker actually reach and exploit this code path?

Real-World Example

Use scanner results to build a security checklist for AI code reviews

AI code assistants (Copilot, Cursor, Claude) often generate code with hardcoded secrets, SQL injection via string concatenation, and missing input validation. Run their output through a security scanner to build a team checklist of common AI code mistakes to watch for.

Security Note

Static analysis catches known patterns — not business logic flaws

Scanners detect SQL injection, XSS, and hardcoded secrets, but they can't catch authorization bypass (user A accessing user B's data), IDOR vulnerabilities, or race conditions. Static scanning is one layer — combine with manual code review and penetration testing for complete coverage.

Frequently Asked Questions

What security vulnerabilities does the AI Code Security Scanner detect?
The scanner checks for 20+ vulnerability patterns across 8 categories: hardcoded secrets and API keys (CWE-798), SQL injection via string concatenation (CWE-89), command injection through exec/spawn (CWE-78), cross-site scripting via innerHTML and dangerouslySetInnerHTML (CWE-79), server-side request forgery with user-controlled URLs (CWE-918), path traversal in filesystem operations (CWE-22), prototype pollution through dynamic property assignment (CWE-1321), insecure randomness with Math.random() (CWE-330), weak cryptographic algorithms, open redirects, missing rate limiting, and more. Each finding includes a CWE reference, severity level, and specific fix recommendation.
Is the code scanner safe for proprietary or production code?
Yes. The scanner runs 100% in your browser using JavaScript pattern matching — your code is never sent to any server, API, or AI model. All analysis happens locally in your browser's memory and is discarded when you close the tab. You can verify this by checking the Network tab in DevTools while scanning. This makes it safe for scanning production code, internal libraries, and proprietary business logic that should never be shared with third parties.
Can this scanner replace a full SAST tool like Semgrep or CodeQL?
No — this tool uses regex-based pattern matching to catch common vulnerabilities quickly, but it does not perform full abstract syntax tree (AST) analysis, data flow tracking, or taint analysis like Semgrep, CodeQL, or Snyk Code. It is best used as a quick first-pass review, especially for AI-generated code that may contain obvious security antipatterns. For production security audits, combine this with a proper SAST tool in your CI/CD pipeline.

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