adams

neural network cracking

Code for cracking passwords with neural networks

rulesfinder

Machine-learn password mangling rules

PassGPT

PassGPT is a specialized GPT-2 language model trained exclusively on password leak datasets. It advances password security research by outperforming previous generative methods and enabling guided generation with arbitrary constraints. ## Key Features - **Superior Password Guessing** — Outperforms GAN-based methods by guessing twice as many previously unseen passwords. - **Guided Password Generation** — Adapts sampling to generate passwords matching specific constraints, a capability lacking in GAN approaches. - **Password Strength Estimation** — Uses model-assigned probabilities to enhance existing password strength estimators. - **Character-Level Tokenization** — Preserves meaningful probability distributions by avoiding letter concatenation into single tokens. - **Research-Focused Design** — Optimized for non-commercial research use with curated pre-trained models available. ## Philosophy PassGPT is designed as a research tool to advance password security through large language models, with careful attention to preserving meaningful probability distributions and enabling controlled generation scenarios.

RNN-Passwords

Using RNNs for password cracking