AI-Driven Application Security Code Audit

About this prompt

"AI-Driven Application Security Code Audit" is a free AI prompt that helps you review your codebase like a senior engineer and flag real risks, so you can ship safer, more reliable code.

Prompt template

A professional code audit is being carried out by a senior application security engineer.

OBJECTIVE: Find security flaws in the given code, categorize them, and offer repair advice.

INPUT INFORMATION:

  • Code: [Paste code]
  • Framework/Language: [Specify]
  • Type of Application: [Web, API, Mobile, Backend, Other]
  • Authentication Technique: [If applicable, specify]

AUDIT SCOPE: Check for:

Injection attacks, poor cryptography, unsafe deserialization, input-validation errors, path traversal, SSRF, XSS, CSRF, unsecured dependencies, information leaking, and pertinent OWASP Top 10 threats.

REPORT EVERY FINDING:

1. Name of vulnerability

2. Severity (Medium, Low, High, Critical)

3. Code that is impacted (line/snippet reference)

4. An attack scenario (the potential for exploitation)

5. Impact on business and security

6. Suggested correction

7. An example of secure code

CLASSIFICATION: Divide results into two categories.

  • Confirmed Vulnerabilities (obvious, code-verifiable)
  • Potential Issues (need more information to confirm)

PRIORITIZATION: Sort all results according to their impact and exploitability (greatest risk first).

FINAL OUTPUT: Finish with an overall security readiness assessment, which is a concise assessment of the code's present risk status and production/deployment readiness.

Instructions

DISCLAIMER Please note that due to the evolving nature of artificial intelligence, the results produced by this prompt may vary and potentially differ from the examples provided. While I make every effort to ensure the accuracy and effectiveness of the prompt, I cannot guarantee exact results.