联觉:通过远程声学侧通道检测屏幕内容

Daniel Genkin, Mihir Pattani, R. Schuster, Eran Tromer
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引用次数: 47

摘要

我们表明,从计算机屏幕内发出的细微声学噪声可以用来检测屏幕上显示的内容。这种声音可以被内置在网络摄像头或屏幕上的普通麦克风捕捉到,并在不经意间传递给其他各方,例如,在视频电话会议或存档录音中。它也可以通过放在屏幕旁边的桌子上的智能手机或“智能扬声器”录制,或者在10米远的地方使用抛物面麦克风录制。通过经验演示各种攻击场景,我们展示了该通道如何用于实时检测屏幕上的文本或用户输入到屏幕上的虚拟键盘。我们还演示了攻击者如何分析视频通话期间收到的音频(例如,在Google Hangout上),以推断对方是否正在浏览网页而不是观看视频通话,以及哪个网站显示在他们的屏幕上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synesthesia: Detecting Screen Content via Remote Acoustic Side Channels
We show that subtle acoustic noises emanating from within computer screens can be used to detect the content displayed on the screens. This sound can be picked up by ordinary microphones built into webcams or screens, and is inadvertently transmitted to other parties, e.g., during a videoconference call or archived recordings. It can also be recorded by a smartphone or ``smart speaker'' placed on a desk next to the screen, or from as far as 10 meters away using a parabolic microphone. Empirically demonstrating various attack scenarios, we show how this channel can be used for real-time detection of on-screen text, or users' input into on-screen virtual keyboards. We also demonstrate how an attacker can analyze the audio received during video call (e.g., on Google Hangout) to infer whether the other side is browsing the web in lieu of watching the video call, and which web site is displayed on their screen.
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