From Virtual Touch to Tesla Command: Unlocking Unauthenticated Control Chains From Smart Glasses for Vehicle Takeover
Xingli Zhang, Yazhou Tu, Yan Long, Liqun Shan, Mohamed A Elsaadani, Kevin Fu, Zhiqiang Lin, Xiali Hei
摘要
This paper studies vulnerabilities at the intersection of wearable devices and automated control systems. Particularly, we focus on exploiting smart glasses as an entry point and unveil the threats of taking over security-critical automated control chains without user verification or interaction. These vulnerabilities can be especially pertinent in scenarios where security mechanisms only depend on entry point security with minimal user verification (relying on complete trust over previous nodes in automated control chains). We have validated the effects of our attacks on real-world systems (e.g., Tesla vehicles) that are controlled by software and automation tools such as Apple Shortcuts or IFTTT. We show how our contactless, speaker-independent, and electromagnetic interference based attacks can control functionalities such as unlocking doors and initiating remote start of Tesla vehicles, even though the victim’s phone is in a lock-screen status. Our findings not only demonstrate the potential for unauthorized control over automated, connected systems but also highlight the urgent need for more robust security measures in the integration of wearable technology with broader automation frameworks.
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引用它的顶会 Paper4
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- Injected and Leaked: Actively Inducing Side-Channel Leakage Using Electromagnetic Injection and Hardware NonlinearityHaoran Yan, Ziyu Shao, Shuhao Zhang, Qinhong Jiang 等USENIX Security 2026
- GhostShot: Manipulating the Image of CCD Cameras with Electromagnetic InterferenceYanze Ren, Qinhong Jiang, Chen Yan, Xiaoyu Ji 等NDSS 2025
它引用的顶会 Paper33
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- Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic HidingLea Schönherr, Katharina Kohls, Steffen Zeiler, Thorsten Holz 等NDSS 2019 · 被引用 315 次
- Hearing Your Voice is Not Enough: An Articulatory Gesture Based Liveness Detection for Voice AuthenticationLinghan Zhang, Sheng Tan, Jie YangCCS 2017 · 被引用 212 次
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