SecGPT Project Overview
SecGPT is an exciting open-source project developed as a solo endeavor. It's inspired by the well-known AutoGPT, sharing similarities in prompts and design patterns, yet setting itself apart with substantial code refactoring for optimized performance. Although SecGPT is crafted by a single developer, it has benefited from refinements with the help of GPT-4 to enhance its overall code quality.
The uniqueness of SecGPT lies in its well-rounded plugin functionality, which is more refined compared to its predecessors. Its primary aim is to contribute significantly to the field of network security. The project integrates advanced language models (LLMs) to assist in various security tasks such as penetration testing, red-blue team exercises, Capture the Flag (CTF) competitions, and more.
How SecGPT Works
SecGPT operates by collecting various plugin features and employing artificial intelligence to make decisions. It then builds fundamental behavior logic and, guided by this logic, it calls on local plugin functions to perform specific tasks. Some of these tasks include website penetration testing, vulnerability scanning, code audits, and writing detailed reports.
The project is continuously evolving, although at a slower pace, as the developer is concurrently learning the LangChain source code, which is a recognized framework for building language models. Active participation from interested developers is welcomed, especially as plugins are still being written and tested.
Key Features
- Open Source and Experimental: SecGPT is in its experimental stage and is entirely open-source, inviting contributions and improvements from the community.
- AI Decision Making: Utilizes AI to make independent decisions, minimizing the need for user assistance.
- Security Focused: Specializes in tasks related to web application security, aiding in identifying and mitigating potential vulnerabilities.
- Expandable with Plugins: Supports additional plugins which can be tailored for various tasks related to cybersecurity.
Achievements and Future Plans
SecGPT has already accomplished successful tests such as solving the SQLiLab Less 1 and managing basic web requests and file operations. However, numerous tasks are on the to-do list:
- Developing more plugins to expand functionality.
- Further optimizing user interactions and the interface layout.
- Integrating AI-generated plugins for specific task automation.
Installation and Getting Started
To start using SecGPT, clone the repository and install required dependencies:
git clone https://github.com/ZacharyZcR/SecGPT.git
pip install -r requirements.txt
Launch the project with:
python install.py
python SecGPT.py
Note: Create a new role upon first launching the program.
Use Cases
An example use case involves SecGPT employing the Sqlmap tool for SQL injection testing, evidenced through a detailed running log. This process involves SecGPT autonomously identifying vulnerabilities, conducting assessments, and generating comprehensive vulnerability reports.
Contributing
The project is open for contributions, offering a great opportunity for developers with an interest in network security. Join the collaborative effort to innovate and enhance the SecGPT project further.
Conclusion
SecGPT stands as a promising tool in the cybersecurity domain, leveraging the power of AI to streamline security assessments and reporting. As an open-source initiative, it encourages collaboration, fostering a community-driven approach to tackling emerging network security challenges.