brannondorsey/PassGAN

Health v2 · maintenance only

Adoption not part of the score

2012 stars · 399 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python command-line implementation of the PassGAN paper that uses a Wasserstein GAN to generate password guesses, with a pretrained model trained on the RockYou dataset. It supports both sampling passwords from the pretrained checkpoint and training new models on custom password leak datasets.

Use cases

• generate password guesses with a GAN for cracking hashed passwords
• audit password strength against ML-generated guesses
• reproduce the PassGAN research paper results
• train a password generation model on my own leaked password dataset
• sample millions of realistic passwords from a pretrained model

When to choose

• you want to run GAN-based password guessing with a pretrained RockYou model
• you need a CLI to train or sample from a password-generating GAN
• you are reproducing or extending the PassGAN paper

When to avoid

• you need a fast, production-grade password cracker - traditional rule/Markov tools like hashcat are faster
• you lack a CUDA GPU, since training requires one
• you want actively maintained TensorFlow code - it depends on old CUDA 8-era tooling

Facets

cli-tool · maturity maintenance

machine-learning deep-learning cli security security machine-learning deep-learning python cli gan password-cracking password-guessing wgan research-reproducibility pretrained-model linux gpu

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For agents

markdown · JSON · MCP: product_card(name="brannondorsey/PassGAN")