IMCP

소개

IMCP is a deliberately vulnerable framework designed to expose critical security weaknesses in AI/ML systems. It serves as a safe, controlled environment for security researchers, developers, and educators to learn about and mitigate emerging AI threats, offering hands-on experience with real-world AI vulnerabilities. IMCP is structured as a 'vulnerable by design' platform that includes model poisoning, prompt injection, embedding vector exploits and more, and is designed to act as a 'DVWA for AI'.

주요 기능

• Realistic AI service implementation
• 2 GitHub stars
• Provides detailed documentation for in-depth learning
• Includes a comprehensive test suite for demonstrations
• Demonstrates 16 unique AI-specific security vulnerabilities
• Compatible with modern LLM APIs (e.g., OpenAI)

사용 사례

• Learn about model poisoning techniques
• Understand and mitigate prompt injection attacks
• Explore vulnerabilities in RAG systems