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AI researchers claim 93% accuracy in detecting keystrokes over Zoom audio

ID: 22164290-cece-5f64-aee4-f0cbb6e58d74

STIX ID: report--22164290-cece-5f64-aee4-f0cbb6e58d74

Feed Name: Ars Technica Security

Threat Score
35/100

Date Published: 2023-08-07

Date Updated: 2026-04-19

Author: Kevin Purdy

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Researchers demonstrated a practical acoustic side-channel attack that records keyboard sounds (via phone or Zoom) and uses deep learning (including self-attention layers) to classify individual keypresses with over 93% accuracy, highlighting a privacy and security vulnerability in laptop keyboards and VoIP scenarios; the work is a proof-of-concept rather than evidence of active exploitation.

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