This repository is a curated list of security tools, experimental cases, and research related to Large Language Models (LLMs) and Generative Pre-trained Transformers (GPT). It serves as a valuable resource for security professionals, researchers, and developers exploring the intersection of AI and cybersecurity, offering insights into LLM applications for offense, defense, and analysis.

How It Works

The list categorizes resources into distinct areas of cybersecurity, including integrated tools, reconnaissance, offensive operations, detection, prevention, social engineering, reverse engineering, investigation, and remediation. It highlights projects that leverage LLMs for tasks like vulnerability discovery, penetration testing, code analysis, threat intelligence summarization, and prompt injection detection. The approach emphasizes practical applications and experimental findings, showcasing how LLMs can augment or automate various security workflows.

Quick Start & Requirements

This is a curated list, not a runnable tool. To use specific projects, refer to their individual repositories for installation and dependency requirements. Many projects leverage Python and may require API keys for services like OpenAI.

Highlighted Details

• Extensive coverage of LLM applications across the cybersecurity lifecycle, from reconnaissance to incident response.
• Includes tools for both offensive security (e.g., penetration testing, vulnerability generation) and defensive security (e.g., prompt injection detection, policy analysis).
• Features experimental cases and academic research, providing insights into cutting-edge LLM security techniques and challenges.
• Categorizes resources for easy navigation, covering areas like code auditing, binary analysis, and social engineering.

Maintenance & Community

The list is community-driven, with contributions welcomed. Links to relevant communities or contribution guidelines are typically found within individual project repositories linked from this list.

Licensing & Compatibility

The licensing varies significantly as this is a collection of links to other projects. Users must check the license of each individual tool or resource before use. Compatibility for commercial use or closed-source linking depends entirely on the licenses of the linked projects.

Limitations & Caveats

As a curated list, the quality, maintenance status, and security of individual projects vary. Users must independently vet each tool for its suitability, potential risks, and adherence to security best practices. Some listed projects may be experimental, deprecated, or have specific hardware/software requirements.