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A recently published study unveils a hypothetical cyberattack where a hacker can steal personal data by leveraging recorded audio of a person typing. The attack utilizes a homemade deep-learning-based algorithm to acoustically analyze keystroke noises and decode the typed content with 95% accuracy. Recordings for this attack can be easily obtained through a cell phone microphone or conferencing apps like Zoom.
This form of cyberattack is a variation of an 'acoustic side channel attack' that uses sonic surveillance to capture sensitive information. The integration of AI capabilities enhances the effectiveness of such attacks in stealing data, particularly passwords and online credentials. Researchers suggest defensive tactics like using randomized passwords, adding fake keystrokes to transmitted audio, making typing style changes, and relying more on biometric login mechanisms.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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