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And just sticking to counting, a not exceptionally well-trained ear could already count how many letters you typed and if you pressed backspace (at least with the double-width backspace, sound is definitely different)
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Yeah I recall that there was an attack researchers demonstrated years back of using recordings of typing with an AI model to predict the typed text with some accuracy. Something to do with the timings of letter pairings, among other things.
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"Let's look at their screen and see how long their password is." This article is about silent sudo.

Have you ever watched a fast touch typist, someone that does over 100 words per minute? Someone who might be using an keyboard layout that you're not familiar with? When the full password is entered in less than a second it can be very difficult to discern what they typed unless you're actually recording with video.

But sure, if you're watching someone who types with one finger. Yes, I can see that.

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How is learning only the length of the password better than watching someone type it?

Besides, observe that several times and you might get close. Look at the stars several times and learn nothing beyond what you learned the first time.

This whole type of attack hinges on the user using weak passwords with predictable elements in any case.

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