This repository contains a Python proof-of-concept for breaking passwords with a microphone, using machine learning.

Because keyboards are mechanical devices, each key may create a slightly different sound due to various manufacturing considerations. The fact that keys make a somewhat unique sound is a vulnerability. Although it is not easily picked up by our ear, it can be exploited by an algorithm...

Please have a look at my original article here: http:https://charleslabs.fr/en/project-Breaking+Passwords+with+a+Microphone

• Python3
• Keras and Tensorflow (pip3 install keras tensorflow)
• argparse (pip3 install argparse)

Disclaimer: this is research code, build as a proof-of-concept. It is not meant to be a practical application.

This repository includes two executable Python files:

• split_audio.py, a script that breaks up an audio recording file in WAV format into individual files for each key presses. It is used to generate the train data.
• audio_reco.py, a script that actually performs the key recognition. Several methods are included.

To generate the train data, call the "split_audio.py" script:

./split_audio.py --input ./path/to/file_with_KEY_presses.wav --out-dir ./path/to/train --label KEY

To launch the learning process, save the model and make a prediction:

./audio_reco.py --train-path ./path/to/train --test-path ./path/to/test.wav --model ../path/to/save/trained_model.h5

You may want to use the --help option on both scripts.