Manipulating-Web-Agents

Manipulating Autonomous LLM-based Web Agents with Indirect Prompt Injection Attacks With the ubiquity of LLM-integrated applications, investigating potential security risks is crucial. One of the most significant vulnerabilities in these systems is their susceptibility to adversarial attack via...

DoomArena: a Framework for Testing AI Agents against Evolving Security Threats

We present DoomArena, a security evaluation framework for AI agents. DoomArena is designed on three principles: 1 It is a plug-in framework and integrates easily into realistic agentic frameworks like BrowserGym for web agents and $τ$-bench for tool calling agents; 2 It is configurable and allows...