SecBench FAQs

Question 1

Which LLMs and platforms can SecBench test?

Accepted Answer

SecBench provides automated security testing for OpenAI, Claude, and Cursor LLMs and their associated Model Context Protocols. It's also built for extensibility to integrate with other LLM models like Deepseek, Llama, and QWen.

Question 2

What types of security attacks can SecBench simulate?

Accepted Answer

SecBench can simulate a comprehensive range of attacks, including server name squatting, Man-in-the-Middle (MITM), DNS rebinding, and exploitation of specific CVEs, all targeting LLM context protocols.

Question 3

Why is SecBench important for Model Context Protocol (MCP) security?

Accepted Answer

Model Context Protocols are critical interfaces for LLM interactions with external tools and data. SecBench is vital because it systematically identifies and benchmarks security vulnerabilities within these protocols, helping to safeguard LLM applications from potential exploits and ensure robust AI security.

Question 4

What is SecBench?

Accepted Answer

SecBench is a systematic security benchmark and playground designed to thoroughly test the security of Model Context Protocols (MCPs) and Large Language Models (LLMs) by simulating various real-world attack scenarios.

Question 5

Does SecBench allow for custom testing scenarios?

Accepted Answer

Yes, SecBench features a customizable client for interacting with MCP hosts and servers. It includes pre-configured malicious servers for diverse vulnerability testing and allows users to set up and explore their own attack scenarios.

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