Beware! AI Can Steal Your Passwords Just By ‘Listening’ To Keystrokes With 95% Accuracy

AI is intruding our lives like never before. It has now become part of everyone’s life knowingly or unknowingly. The potential risk of artificial intelligence (AI) tools being used to acquire user passwords by “listening” to the sound of keyboards has recently come to light, thanks to a study. In a study, Cornell University researchers from the US showed that AI software could replicate a written password with an incredible accuracy rate of 95% when running on a nearby smartphone. While AI can steal your passwords, this can lead to a huge deal of problems for all.

The experimentation…

On a MacBook Pro 2021 laptop, an AI model was trained in the experiment to identify typing sounds. The AI tool demonstrated outstanding accuracy while “listening” to typing over the laptop’s microphone during a Zoom video conference, attaining a keystroke replication accuracy of 93%.

This result is definitely a warning signal for all the humans. In today’s age of digital transactions, all our passwords are the way to the wealth that we own. Every single personal information is there one these digital devices, though protected by passwords. If the same can be cracked that easily, then there stays no point of putting passwords.

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Acoustic side-channel attack

The study emphasizes the idea of a “acoustic side-channel attack,” in which criminals take advantage of the sounds made by keystrokes to access user accounts without authorization. Researchers underlined that because users frequently underestimate the danger posed by keyboard acoustic emanations. Many users are unaware of this concern. When inputting passwords, users may take precautions to conceal their screens. But they frequently forget to muffle the sound of their keystrokes.

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AI can steal your passwords

The study emphasizes the significance of adopting security policies that address acoustic side-channel attack. Also, there is a necessity  for improved understanding of the potential vulnerabilities related to keyboard sounds. Such findings highlight the changing difficulties in maintaining cybersecurity and the requirement for novel preventative measures as technology develops.