🛡️ LeHack 2024 - Exploring LLMs in Pentesting and Cybersecurity Training 🛡️

Welcome to the repository for my talk at LeHack 2024! In this talk, we explore the use of Large Language Models (LLMs) in the context of pentesting and cybersecurity training, along with their limitations.

🚀 Overview

In this talk, we dive into:

• Creating conversational agents to replace quizzes or conduct phishing exercises.
• Developing AI assistants familiar with tool documentation and audit methodologies.
• Using LLMs for code analysis and payload generation.

🗂️ Contents

This repository includes:

• Code snippets used during the talk.
• Slides for the talk in the Slides directory.

⚠️ Disclaimer

⚠️ Note: The code snippets provided here are for demonstration purposes and have not been rigorously tested. Use them at your own risk.

📜 Slides

You can find the slides for the talk in the Slides directory. These slides provide a detailed walkthrough of the concepts and examples discussed.

🤖 Code Snippets

Here you'll find various code snippets illustrating the use of LLMs in cybersecurity scenarios. These snippets cover:

• Chatbot creation for phishing exercises
• AI assistants for tool documentation and audit methodologies
• Code analysis tools
• Payload generation tools

🛠️ Usage

Feel free to explore and experiment with the code snippets. If you run into issues, please open an issue on this repository.

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Thank you for attending my talk at LeHack 2024! Happy hacking! 🚀