When AI agents autonomously browse websites and encounter tasks that are intentionally unsolvable or computationally intensive, they become susceptible to Denial-of-Service (DoS) attacks, leading to resource exhaustion or system paralysis. Malicious actors can craft web pages embedding endless loops, impossible CAPTCHA challenges, or resource-draining scripts specifically designed to trap these automated agents in perpetual execution. As the AI agent persistently attempts to resolve the unsolvable task, it inadvertently consumes significant computational resources, bandwidth, and memory, effectively causing service degradation or downtime. Preventing such attacks necessitates robust timeouts, task-complexity assessments, intelligent anomaly detection, and implementing restrictions on computational resources allocated to AI-driven browsing activities.
