OMEN

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. OMEN significantly improves guessing speed over existing proposals. 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. OMEN consists of two separate program modules: createNG and enumNG. createNG calculates n-gram probabilities based on a given list of passwords and stores them on the hard disk. Based on these probabilities enumNG enumerates new passwords in the correct order (descending). Before one can generate any passwords, the n-gram probabilities have to be estimated using createNG. To calculate the probabilities using the default settings, createNG must be called giving a path to a password list that should be trained.