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Security Vulnerability Code Auditor (OWASP Top 10)
Claude 3.5 SonnetCoding & Dev

Scans code for OWASP Top 10 vulnerabilities: SQL injection, XSS, CSRF, insecure deserialization, and more.

+445
All Prompts

Step 1: Customize Prompt Variables

Step 2: Generated Prompt Output

Perform a security audit of this TypeScript code against OWASP Top 10: ```TypeScript app.get('/user/:id', (req, res) => { const query = `SELECT * FROM users WHERE id = ${req.params.id}`; db.query(query, (err, result) => res.json(result)); }); ``` Context: Public-facing web API Analyze for: 1. **A01 Broken Access Control** (missing auth checks, IDOR) 2. **A02 Cryptographic Failures** (weak hashing, plaintext secrets) 3. **A03 Injection** (SQL, NoSQL, command injection, SSTI) 4. **A04 Insecure Design** (business logic flaws) 5. **A05 Security Misconfiguration** (verbose errors, CORS issues) 6. **A07 Authentication Failures** (weak tokens, no rate limiting) 7. **A08 Software Integrity** (dependency confusion) For each finding: - **Severity**: Critical / High / Medium / Low - **CWE ID** reference - **Exact line** where issue occurs - **Secure fix** (code snippet) - **Why it matters** (attack scenario)
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Comprehensive Technical Analysis & Guide

In-depth breakdown, safety recommendations, and operational mechanics.

1Architecture & Theoretical Basis of this Prompt

This template leverages structural role calibration and negative constraint enforcement. By explicitly scoping the output parameters for Claude 3.5 Sonnet, it reduces token waste and focuses model inference on high-value synthesis.

2Optimizing Temperature & Inference Hyperparameters

For technical coding and code review prompts, set model temperature to 0.1–0.2 for maximum determinism. For creative ideation and artistic prompts, set temperature to 0.7–0.9.

3Chaining Outputs into Production Pipelines

The structured markdown formatting makes it trivial to parse key sections (bugs, recommendations, replacement code) programmatically using standard regex or structured JSON schemas.

4Ethical & Defensive Prompt Practices

Always verify mission-critical code outputs with automated testing suites (unit tests, integration tests) before deploying LLM-generated recommendations into production environments.

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Frequently Asked Questions

Verified answers to common queries regarding this lookup target and security protocols.

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