Enhancing Password Guessing with Pattern-Guided Generative Transformer and Duplicate Reduction

PagPassGPT, a password guessing model built on Generative Pretrained Transformer (GPT), can perform pattern guided guessing by incorporating pattern structure information as background knowledge, resulting in a significant increase in the hit rate. Furthermore, the proposed D&C-GEN algorithm reduces the repeat rate of generated passwords by recursively dividing the guessing task into non-overlapping subtasks.