TryKatChup/Tesi-Triennale
Progetto di strumenti basati su Deep Neural Network per la rilevazione di similarità tra password (Tesi Triennale, Ingegneria Informatica T - Alma Mater Studiorum, Università di Bologna)
This project helps security professionals and system administrators assess the risk of users choosing weak or easily guessable passwords. It takes a list of passwords as input and evaluates their similarity, flagging those that are too close to existing patterns or common variations. The output helps identify potential security vulnerabilities arising from poor password hygiene, enabling better protection of user accounts and sensitive data.
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Use this if you need to identify passwords that are too similar to existing ones, indicating a security risk.
Not ideal if you need a general password strength checker that doesn't focus specifically on similarity to other passwords.
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TeX
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CC-BY-SA-4.0
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Last pushed
Mar 22, 2021
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