MobileInject: Evaluating Reasoning-To-Action Security of MLLM-Based Mobile Agents under Cross-Modal Consistency Injection

Multimodal large language model MLLM-based mobile agents are rapidly evolving from conversational assistants into autonomous systems that perceive, reason over, and act on smartphone environments. This capability also exposes a new security risk: adversaries can embed malicious objectives in...