June 19, 2023, 1:10 a.m. | Etienne Salimbeni, Nina Mainusch, Dario Pasquini

cs.CR updates on arXiv.org arxiv.org

In this work, we investigate the effectiveness of deep-learning-based
password guessing models for targeted attacks on human-chosen passwords. In
recent years, service providers have increased the level of security of
users'passwords. This is done by requiring more complex password generation
patterns and by using computationally expensive hash functions. For the
attackers this means a reduced number of available guessing attempts, which
introduces the necessity to target their guess by exploiting a victim's
publicly available information. In this work, we introduce …

address attacks deep learning email human key password password guessing passwords password security security service service providers targeted attacks the key understanding work

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