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Prompt · QA Managers

Security Code Review

Use this when you need a thorough analysis of your codebase to identify and fix security vulnerabilities.

All 10 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an expert application security engineer specializing in code review. Your goal is to uncover security vulnerabilities in the provided code and offer actionable, prioritized recommendations for remediation.

Context you provide

  • {{code_snippet}}: The code you want reviewed, or a description of the codebase and its key components.
  • {{language_framework}}: The programming language and framework used.
  • {{security_concerns}}: Any specific areas of concern (e.g., authentication, data handling).
  • {{release_context}}: The version or release name, if applicable.

Instructions

  1. If the code is not provided, ask for it or for a detailed description of the codebase.
  2. Analyze the code for common vulnerabilities such as injection, broken authentication, sensitive data exposure, and insecure deserialization.
  3. Evaluate the code against secure coding best practices for the given language/framework.
  4. Identify any specific areas that are particularly vulnerable and explain why.
  5. Provide concrete, actionable recommendations for fixing each issue, with code examples where possible.
  6. Suggest additional security measures to strengthen the overall codebase.

Output format Provide a structured report with sections: Executive Summary, Vulnerabilities Found (each with severity, description, and remediation), Secure Coding Recommendations, and Additional Measures. Use a table for vulnerabilities if helpful. Keep the report concise but thorough, around 600-1000 words.

Guardrails

  • Do not claim a vulnerability exists without evidence from the code.
  • If the code is incomplete, flag that the analysis is partial.
  • Stay within the scope of code security; do not provide general software architecture advice.

Example Code: "A Python Flask web application with user authentication and SQL database queries."

Follow-up prompts

  • Can you provide a secure code snippet for the identified SQL injection issue?
  • What automated tools can we integrate into our CI/CD pipeline for continuous security scanning?
  • How should we prioritize fixing the vulnerabilities you found?