MyLLMAuto

MyLLMAuto: A LLM CTF Challenge

MyLLMAuto is a Capture The Flag (CTF) application aimed at educating users about prompt injection vulnerabilities in multi-chain LLM applications. The application simulates an automotive parts lookup system with intentional security flaws, allowing users to explore and learn about security risks in LLM applications.

Key Features:

• Multi-Chain Architecture: Demonstrates the potential for prompt injection attacks across different LLM chains.
• Flag Submission System: Includes a UI for tracking and validating captured flags.
• Educational Focus: Designed for learning about security vulnerabilities, with intentional flaws included for demonstration purposes.

Benefits:

• Hands-On Learning: Users can engage with real-world security challenges in a controlled environment.
• Open Source: Contribute to the project and learn from the community.
• Docker Support: Easy setup with Docker and Docker Compose for local or containerized environments.

Highlights:

• Built using Python and FastAPI, leveraging OpenAI's GPT-3.5-turbo model.
• Includes multiple flags to discover through various techniques, enhancing the learning experience.