📱 Mobile Security Tips
Sarah Chen — iOS Security Specialist
Why AI Changes the Game for Penetration Testing
AI tools provide an unparalleled advantage in penetration testing, offering enhanced automation and intelligence gathering capabilities. By leveraging the power of models like ChatGPT and Claude, security professionals can streamline their workflows, enhance their threat modeling, and improve their reporting processes.
Before You Start: How to Set Context Properly
Setting the right context is crucial when using AI for penetration testing. Be clear about the objectives of your test, the environment, and the specific vulnerabilities you are testing. This gives the AI sufficient information to generate relevant responses.
Core Prompts Cheatsheet
What it does: Provides a comprehensive overview of vulnerabilities.
When to use: During the reconnaissance phase.
Customization: Specify the type of web application or technology stack.
What it does: Summarizes the most critical web application security risks.
When to use: As part of your vulnerability assessment or training.
Customization: Request examples specific to your application.
What it does: Provides steps for executing a specific attack.
When to use: During a controlled penetration test.
Customization: Add context about the application’s database structure.
What it does: Creates a structured report for presenting findings.
When to use: After completing your penetration test.
Customization: Specify sections you want to include, like executive summary or detailed results.
Weak vs Strong Prompt Examples
Advanced Prompt Techniques
Utilizing techniques like **role prompting** (e.g., “Act as a security consultant”) helps tailor responses to specific roles within penetration testing. **Chain-of-thought** prompting encourages the AI to reason through problems, producing better results.
Add **few-shot examples** to demonstrate the format of responses you’re looking for, while **output formatting** can be requested to ensure that results are easy to digest.
Claude vs ChatGPT: Which Works Better For This
ChatGPT often excels in generating detailed and structured outputs due to its capabilities with context and formatting. Claude may provide more concise responses but can lack some depth. Depending on the task, you might prefer one over the other.
Tips for Getting Consistent Results
Be as specific as possible in your prompts. For example, rather than asking for general information, ask for details about a particular vulnerability or method. Use iterative refinement to adjust prompts based on previous outputs, honing in on the quality and relevance of the information.
Quick Reference: All Prompts in One Place
- Generate a list of common vulnerabilities found in web applications.
- Explain the OWASP Top Ten vulnerabilities.
- How would I perform a SQL injection on this application?
- Draft a report template for penetration testing findings.