Release of OMEN - A Markov Model-Based Password Guesser

15.03.2017 - Maximilian Golla

OMEN is a Markov model-based password guesser written in C. It generates password candidates according to their occurrence probabilities, i.e., it outputs most likely passwords first. If you are interested in the details on how OMEN improves on existing Markov model-based password guessing approaches, please refer to OMEN: Faster Password Guessing Using an Ordered Markov Enumerator.

You can download OMEN from GitHub.

tags: Markov Model, omen, password guessing