Shoulder surfing attacks are an unfortunate consequence of entering passwords or PINs into computers, smartphones, PoS terminals, and ATMs. Such attacks generally involve observing the victim’s input device. This project studies leakage of user secrets (passwords and PINs) based on observations of output devices (screens or projectors) that provide “helpful” feedback to users in the form of masking characters, each corresponding to a keystroke. To this end, we developed a new attack called Secret Information Leakage from Keystroke Timing Videos (SILK-TV). Our attack extracts inter-keystroke timing information from videos of password masking characters displayed when users type their password on a computer, or their PIN at an ATM or PoS. The paper detailing our attack is available at this link. The dataset used in our work can be downloaded from this link.
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