MobileInject: New benchmark for testing MLLM-based mobile agents against multimodal injection attacks
In brief
- MobileInject is the first benchmark dedicated to securing MLLM-based mobile agents against multimodal injections.
- The study reveals critical vulnerabilities in the reasoning-to-action pipeline of mobile agents.
- Attacks leverage cross-modal consistency to manipulate agent behavior.
Researchers introduce MobileInject, a first-of-its-kind benchmark assessing the vulnerability of MLLM-based mobile agents to multimodal injection attacks. The study uncovers major flaws in the reasoning-to-action pipeline, exploited through techniques like cross-modal consistency injection. The evaluation framework covers 11 scenarios and 108 executable risk cases.
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