brannondorsey/PassGAN

This repository contains code for the PassGAN: A Deep Learning Approach for Password Guessing paper. The model from PassGAN is taken from Improved Training of Wasserstein GANs and it is assumed that the authors of PassGAN used the improved_wgan_training tensorflow implementation in their work. For this reason, I have modified that reference implementation in this repository to make it easy to train (train.py) Use the pretrained model to generate 1,000,000 passwords, saving them to gen_passwords.txt. Training a model on a large dataset (100MB) can take several hours on a GTX 1080.