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Topic: zxcvbn - Secure Way To Implement Password Strength Estimation (Read 442 times) previous topic - next topic

zxcvbn - Secure Way To Implement Password Strength Estimation

zxcvbn - Secure Way To Implement Password Strength Estimation

https://github.com/hrueger/zxcvbn
https://github.com/MrWook/zxcvbn
https://github.com/dropbox/zxcvbn

zxcvbn is a password strength estimator inspired by password crackers. Through pattern matching and conservative estimation, it recognizes and weighs 30k common passwords, common names and surnames according to US census data, popular English words from Wikipedia and US television and movies, and other common patterns like dates, repeats (aaa), sequences (abcd), keyboard patterns (qwertyuiop), and l33t speak.

Consider using zxcvbn as an algorithmic alternative to password composition policy — it is more secure, flexible, and usable when sites require a minimal complexity score in place of annoying rules like "passwords must contain three of {lower, upper, numbers, symbols}".

More secure: policies often fail both ways, allowing weak passwords (P@ssword1) and disallowing strong passwords.

More flexible: zxcvbn allows many password styles to flourish so long as it detects sufficient complexity — passphrases are rated highly given enough uncommon words, keyboard patterns are ranked based on length and number of turns, and capitalization adds more complexity when it's unpredictaBle.

More usable: zxcvbn is designed to power simple, rule-free interfaces that give instant feedback. In addition to strength estimation, zxcvbn includes minimal, targeted verbal feedback that can help guide users towards less guessable passwords.