Keyboard Sound Aids Password Cracking
stinerman writes "Three students at UC-Berkley used a 10 minute recording of a keyboard to recover 96% of the characters typed during the session. The article details that their methods did not require a 'training text' in order to calibrate the conversion algorithm as has been used previously. The research paper [PDF] notes that '90% of 5-character random passwords using only letters can be generated in fewer than 20 attempts by an adversary; 80% of 10-character passwords can be generated in fewer than 75 attempts.'"
Does this mean that instead of keystroke loggers, spyware is now going to monitor our microphone input? This almost sounds like something out of a bad 80's movie.
I'd have a hard time believing this method transcends all keyboard models, and all typists.
If you can get a mike that close to a keyboard to listen to the keystrokes, then you can probably place a micro camera and get the same results.
Ninjas don't carry tic tacs
... that my voice is my passport.
It just goes to show that when you have physical access to a computer, the security's already broken...
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Security experts recommend you don't speak the name of the key you're hunting for as you type your password with a single finger.
Now I'll need tinfoil wallpaper too, time to go to Cosco...
"In order to make an apple pie from scratch, you must first create the universe." -- Carl Sagan, Cosmos
This technique must be usable on most keyboards, because judging from this the FBI sometimes uses (or has used in the past) this technique. From the page:
Oh and by the way, that page was written in 1998, so these UC-Berkley students (and the /. editors) are about 7 years slow.
While it is an interesting topic, controlled conditions are required for this to work correctly.
They use a deterministic method to find the next probable character for a given sequence. Deterministic in that if I type 't' and then type 'h' and there are only so many combinations available after that (this is the Markov chain part). Er basically a sort of decision coverage. That is used with the spell check dictionaries they mention for English text recognition. It is interesting too that they are using a neural network (though appropriate) to recognize the patterns. But because they did not make their own, the details are a bit brief.
The problem I see is that the password detection is not flushed out enough and based upon what they state, it is not as powerful as it sounds. The deterministic method won't work for all passwords (as they typically are not English). Their "analysis" is basically a speed up on a dictionary hack (it helps to know the size of the password from the keystrokes), eliminating possibilities by way of possible patterns. But what about special characters, does a shift+key sound that different? Mixed cases, etc? And the deterministic approach does not work if the password is random AND the network has to be trained for THAT persons typing style and keyboard. Is that likely?
I would be more worried about Van Eck Phreaking.