Invisible Finger: Practical Electromagnetic Interference Attack on Touchscreen-based Electronic Devices
Haoqi Shan, Boyi Zhang, Zihao Zhan, Dean Sullivan, Shuo Wang, Yier Jin
摘要
Touchscreen-based electronic devices such as smart phones and smart tablets are widely used in our daily life. While the security of electronic devices have been heavily investigated recently, the resilience of touchscreens against various attacks has yet to be thoroughly investigated. In this paper, for the first time, we show that touchscreen-based electronic devices are vulnerable to intentional electromagnetic interference (IEMI) attacks in a systematic way and how to conduct this attack in a practical way. Our contribution lies in not just demonstrating the attack, but also analyzing and quantifying the underlying mechanism allowing the novel IEMI attack on touchscreens in detail. We show how to calculate both the minimum amount of electric field and signal frequency required to induce touchscreen ghost touches. We further analyze our IEMI attack on real touchscreens with different magnitudes, frequencies, duration, and multitouch patterns. The mechanism of controlling the touchscreen-enabled electronic devices with IEMI signals is also elaborated. We design and evaluate an out-of-sight touchscreen locator and touch injection feedback mechanism to assist a practical IEMI attack. Our attack works directly on the touchscreen circuit regardless of the touchscreen scanning mechanism or operating system. Our attack can inject short-tap, long-press, and omnidirectional gestures on touchscreens from a distance larger than the average thickness of common tabletops. Compared with the state-of-the-art touchscreen attack, ours can accurately inject different types of touch events without the need for sensing signal synchronization, which makes our attack more robust and practical. In addition, rather than showing a simple proof-of-concept attack, we present and demonstrate the first ready-to-use IEMI based touchscreen attack vector with end-to-end attack scenarios
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引用它的顶会 Paper15
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- GhostTac: Manipulating Tactile Sensors without Physical ContactKun Wang, Xuancun Lu, Ruochen Zhou, Kai Wang 等CCS 2026
它引用的顶会 Paper4
- Synesthesia: Detecting Screen Content via Remote Acoustic Side ChannelsDaniel Genkin, Mihir Pattani, Roei Schuster, Eran TromerS&P 2019 · 被引用 63 次
- WaveSpy: Remote and Through-wall Screen Attack via mmWave SensingZhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang 等S&P 2020 · 被引用 40 次
- Tap 'n Ghost: A Compilation of Novel Attack Techniques against Smartphone TouchscreensSeita Maruyama, Satohiro Wakabayashi, Tatsuya MoriS&P 2019 · 被引用 39 次
- GhostTouch: Targeted Attacks on Touchscreens without Physical TouchKai Wang, Richard Mitev, Chen Yan, Xiaoyu Ji 等USENIX Security 2022
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