ModelFuzz: Open-Source Python Library Guards AI Agents Against Prompt Injection Attacks
A developer has released ModelFuzz, an open-source Python library designed to prevent AI agents from leaking sensitive data through prompt injection attacks. Rather than filtering malicious prompts, ModelFuzz intercepts tool calls at the execution layer and checks their arguments for policy violations — such as stolen API keys or unsafe URLs — before allowing them to run. The library also includes a CLI scanner that simulates prompt injection attacks against local AI models to test their vulnerability. In testing against a local Qwen2.5:1.5b model, the scanner successfully breached the model four out of five times, highlighting the severity of the risk. ModelFuzz is freely available on PyPI and GitHub, with the developer seeking community input on additional security policies and framework support.
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