Char-level RNN LSTM password cracker 🔑🔓.
Character-level RNN (Recurrent Neural Net) LSTM (Long Short-Term Memory) text predictor intended for password generation research.
Check out corresponding Medium article:
Password Cracker - Generating Passwords with Recurrent Neural Networks (LSTMs)🔑🔓
This project was developed for purely educational use. Don’t use it for any evil purposes.
Top 85 million WPA (Wi-Fi) Passwords
Randomized and split into:
Text Predictor RNN LSTM, for more details check this article.
Batch size: 32Sequence length: 25Learning rate: 0.002Decay rate: 0.97Hidden layer size: 1024Cells size: 3
hit_ratio = sampled_passwords_in_test_set / all_sampled_passwords
After 100 thousands of learning iterations, RNN LSTM model generated 896 passwords and 119 of them were in the validation set.
It means that 13% of the generated password were the real ones.
Examples of AI generated passwords that were actually used by people:
richardmarssierrasoftball8aug1863FalconGroovyverstockthakensenmccaitlinplayboyslayerrepublicmastereddie123Denversharonmarchandhumaniseront57december178915071600Spatted2jaredhomebrewchoco2007doctorPackerbac7er!o1o9!s7selliot1993d3r!v@7!ontricksetjonathancruisemcjordan23Family82susanAwesome
Greg (Grzegorz) Surma
@gsurma">BLOG