“Scan code snippets for OWASP Top 10 vulnerabilities, SQL injection, XSS, insecure deserialization, and generate patched fixes.”
Curated by David Chen
Updated: Aug 13, 2026
Run Time: 2 mins
Verified: ChatGPT, Claude, Gemini
Architecture & Behavioral Blueprint
This prompt implements an end-to-end framework specifically designed for Cybersecurity, AppSec & Code Hardening. It enforces role authority, step-by-step structural reasoning, and negative constraints to prevent generic, repetitive AI filler.
Target Use CaseCybersecurity, AppSec & Code Hardening
Engine CompatibilityChatGPT • Claude • Gemini
Complexity LevelADVANCED
The Complete AI Prompt
1-Click Clipboard Ready
System / Prompt Matrix|174 words (1167 chars)
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Act as a Senior Application Security Engineer (AppSec) and Certified Ethical Hacker (OSCP/CISSP).
I will provide a code snippet or API endpoint logic:
Programming Language & Framework: [e.g. Node.js / Express or Python / FastAPI]
Context / Usage: [e.g. User profile update endpoint receiving multipart form data]
Code Snippet:
[PASTE CODE SNIPPET HERE]
Perform an exhaustive security audit and remediation report:
1. THREAT & VULNERABILITY MATRIX:
- Identify any vulnerabilities mapped to the OWASP Top 10 and CWE standards (e.g., SQLi, Stored XSS, IDOR, SSRF, Broken Access Control, ReDoS, Sensitive Data Exposure).
- Assign a CVSS v3.1 Severity Score (Low / Medium / High / Critical) with justification.
2. PROOF OF CONCEPT (PoC) EXPLOIT SCENARIO:
- Explain how an attacker could craft an exploit payload to abuse this weakness in production.
3. HARDENED & REMEDIATED CODE:
- Provide the fully patched, production-ready code with secure input sanitization, parameterized queries, authorization checks, and safe error masking.
4. DEFENSIVE CODING BEST PRACTICES:
- 3 organizational guidelines to prevent this class of vulnerability across the engineering team.
Include database queries, token parsing, or input handling logic.
02
Review remediation diff
Replace vulnerable functions with parameterized and sanitized implementations.
Verified Output Walkthrough
Sample Input Arguments
Express route concatenating req.query.id directly into a raw SQL query string.
Verified Benchmark Response
### Vulnerability: CWE-89 SQL Injection (Critical, CVSS 9.8)
**Remediation**: Use parameterized queries with parameterized placeholders ($1, $2) to separate SQL command logic from untrusted user input...
Growfyx Engineering Notes
Always combine AI security audits with automated static analysis tools (SAST) in your CI/CD pipeline.
Editor Recommendation★ 4.9/5 Rating
Claude 3.5 Sonnet / ChatGPT Plus — Recommended Model Runner
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