Xiaomeng Chen (Shanghai Jiao Tong University), Jike Wang (Shanghai Jiao Tong University), Zhenyu Chen (Shanghai Jiao Tong University), Qi Alfred Chen (University of California, Irvine), Xinbing Wang (Shanghai Jiao Tong University), Dongyao Chen (Shanghai Jiao Tong University)

We discover that enabling both eavesdropping and non-invasive, per-key injection is viable on keyboards, in particular, the fast-emerging commodity Hall-effect keyboards. This paper introduces DualStrike, a new attack system that allows attackers to remotely listen to victim input and control any key on a Hall-effect keyboard. This capability opens doors to severe attacks (e.g., file deletion, private key theft, and tampering) based on the victim’s input and context, all without requiring hardware or software modifications to the victim’s computer. We present several key innovations in DualStrike, including a novel, compact electromagnet-based hardware design for high-frequency magnetic spoofing, a synchronization-free attack scheme, and a magnetometer-based listening mechanism using commercial off-the-shelf components. Our real-world experiments demonstrate that DualStrike can reliably compromise arbitrary keys across six recent Hall-effect keyboard models. Specifically, DualStrike achieves over 98.9% keystroke injection accuracy across all tested models. In an end-to-end test, the eavesdropping module achieves a high listening accuracy (i.e., above 99%). To improve the robustness of DualStrike, we implement a calibration algorithm to account for keyboard displacement, allowing it to maintain 98.5% injection accuracy even with offsets up to 4 cm. We also identified DualStrike’s immunity to existing magnetic shielding mechanisms and proposed a novel shielding approach for Hall-effect keyboards.

View More Papers

PACS: Privacy-Preserving Attribute-Driven Community Search over Attributed Graphs

Fangyuan Sun (Qingdao University), Yaxi Yang (Singapore University of Technology and Design), Jia Yu (Qingdao University), Jianying Zhou (Singapore University of Technology and Design)

Read More

15 Years of Binary Analysis – What worked, and...

Marion Marschalek, Hack & Cheese Security Consulting

Read More

NeuroStrike: Neuron-Level Attacks on Aligned LLMs

Lichao Wu (Technical University of Darmstadt), Sasha Behrouzi (Technical University of Darmstadt), Mohamadreza Rostami (Technical University of Darmstadt), Maximilian Thang (Technical University of Darmstadt), Stjepan Picek (University of Zagreb & Radboud University), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

Read More