Sec GPT

Abstract

1. Introduction

SecGPT is an open-source project inspired by AutoGPT, borrowing from its prompts and design patterns, but with significant code refactoring. As a solo developer project, we cannot guarantee the full quality of the code, but it has been extensively optimized and refactored in conjunction with GPT-4. We hope this will improve the overall code quality to some extent.

Inheriting the philosophy of AutoGPT, the uniqueness of SecGPT lies in its more refined plugin functionality. SecGPT aims to make further contributions to network security by combining LLM, including penetration testing, red-blue confrontations, CTF competitions, and other aspects.

How does SecGPT work? It aggregates existing plugin features and makes decisions through AI. Based on these decisions, it constructs basic behavior logic. Then, following this logic, it calls local plugin functions to attempt tasks such as website penetration, vulnerability scanning, code audit, and report writing.

2. Objective

A Test Project for a Network Security-oriented LLM Tool Emulating AutoGPT

This project demonstrates how Python, LangChain can be applied to a real-world Cybersecurity & Ethical Hacking problem.

3. Key Features / Modules

• Security toolset that makes decisions based on LLM
• High level of customization, with the ability to realize various functions depending on the plugin library
• Plugin specifications are simple and easy to customize
• Experimental project, the effect of code implementation is poor
• Few plugins, lots of bugs

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ZacharyZcR/SecGPT.git
cd SecGPT

git clone https://github.com/ZacharyZcR/SecGPT.git
pip install -r requirements.txt

python install.py # This command will check if your environment can run normally
python SecGPT.py # This command will start the program

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by ZacharyZcR and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.