MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
Researchers have developed MUZZLE, an automated framework designed to test the security of web agents against indirect prompt injection attacks. This system adaptively identifies vulnerable injection points and crafts context-aware malicious instructions to compromise confidentiality, integrity, and availability. MUZZLE's evaluations have uncovered numerous new attacks across various web applications and LLMs, demonstrating its effectiveness in discovering vulnerabilities with minimal human oversight. AI
IMPACT This research highlights critical security vulnerabilities in web agents, potentially influencing future development and security practices for LLM-based applications.