/ai-passwords

Password lists generated by deep learning algorithms.

MIT LicenseMIT

ai-passwords

This is a collection of password lists in which I have trained various deep learning algorithms to try to come up with passwords. A full report of results exists in each directory.

Models Used

All models are trained against the top 10 million passwords in all of the hashes.org dataset, and then tested against the entire dataset for "cracks" vs. running the wordlists in hashcat.

Performance

This table lists approximate performance metrics for these models.

Metrics are:

  • Model Name: The model/folder used to generate the password list.
  • Generated: The amount of passwords generated by the model.
  • Unique: The amount of unique passworss generated by the model.
  • In Training Set: The amount of generated passwords that exist in the training dataset.
  • PW/sec: Approximate password generation per second, raw.
  • Cracks/sec.: Approximate novel passwords yielding cracks of the validation dataset per second.
  • Rig: The computer specifications used for the experiment.
Model Name Generated Unique In Training Set PW/sec. Cracks/Sec. Rig
gpt2-small 4,726,912 4,053,784 822,690 111 12.17 A1
PassGAN 4,999,168 4,658,237 454,759 84516 19726.01 A2

Rig Specifications

This contains hardware specifications used to run the model.

Rig A1 "thehaswell" (ROCm)

  • Intel Core i7-4790K (Devil's Canyon)
  • 32GB DDR3 RAM
  • 1 TB NVMe SSD (Samsung 960 Evo)
  • Ubuntu 18.04.3 LTS, ROCm 2.9.6
  • AMD Radeon VII (VBIOS version: 113-D3600200-106)

Rig A2 "thehaswell" (CUDA)

  • Intel Core i7-4790K (Devil's Canyon)
  • 32GB DDR3 RAM
  • 1 TB NVMe SSD (Samsung 960 Evo)
  • Ubuntu 18.04.3 LTS, CUDA 10.1
  • NVidia Geforce GTX 1070 Ti Founders Edition

License

MIT License