Web Agent Persuasion Benchmark

This paper introduces a benchmark (TRAP) to evaluate the vulnerability of web agents (powered by LLMs) to prompt injection attacks. It highlights a critical security concern as web agents become more prevalent, demonstrating that these agents can be easily misled by adversarial instructions embedded in web interfaces. The research provides a framework for further investigation and expansion of the benchmark, which is crucial for developing more robust and secure web agents.