tikeswar/kido

White hat hacking passwords using ML

34
/ 100
Emerging

This project helps security researchers and white-hat hackers investigate the vulnerability of typed passwords to acoustic eavesdropping. By analyzing audio recordings of keystrokes, it identifies which characters were typed, turning sound into text. This is useful for ethical hackers assessing system security.

No commits in the last 6 months.

Use this if you are a security researcher or ethical hacker looking to demonstrate how machine learning can be used to infer typed text from audio recordings of keystrokes.

Not ideal if you need to analyze keystroke acoustics from a keyboard different from a MacBook Pro (Retina, 13-inch, Early 2015), as the model was trained specifically on that hardware.

acoustic-eavesdropping password-security white-hat-hacking vulnerability-research cybersecurity-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 18 / 25

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12

Language

Jupyter Notebook

License

Category

ai-red-teaming

Last pushed

Apr 23, 2021

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