zxcvbn-dutch 1.1

Install

This project is available from PyPI as zxcvbn-dutch: https://pypi.python.org/pypi/zxcvbn-dutch

You can install it with: pip install zxcvbn-dutch If you haven an existing Python version of zxcvbn installed, it is recommended to uninstall it before installing zxcvbn-dutch.

Use

The zxcvbn module exports the password_strength() function. Import zxcvbn, and call password_strength(password, user_inputs=[]). The function will return a result dictionary with the following keys:

entropy # bits

crack_time # estimation of actual crack time, in seconds.

crack_time_display # same crack time, as a friendlier string:

# “instant”, “6 minutes”, “centuries”, etc.

score # [0,1,2,3,4] if crack time is less than

# [10**2, 10**4, 10**6, 10**8, Infinity]. # (useful for implementing a strength bar.)

match_sequence # the list of patterns that zxcvbn based the

# entropy calculation on.

calculation_time # how long it took to calculate an answer,

# in milliseconds. usually only a few ms.

The optional user_inputs argument is an array of strings that zxcvbn will add to its internal dictionary. This can be whatever list of strings you like, but is meant for user inputs from other fields of the form, like name and email. That way a password that includes the user’s personal info can be heavily penalized. This list is also good for site-specific vocabulary.

Bug reports and pull requests welcome!

Acknowledgments

Dropbox, thank you again for supporting independent projects both inside and outside of hackweek.

Thanks to Dan Wheeler (https://github.com/lowe) for the CoffeeScript implementation (see above.) To repeat his outside acknowledgements (which remain useful, as always):

Many thanks to Mark Burnett for releasing his 10k top passwords list: http://xato.net/passwords/more-top-worst-passwords and for his 2006 book, “Perfect Passwords: Selection, Protection, Authentication”

Huge thanks to Wiktionary contributors for building a frequency list of English as used in television and movies: http://en.wiktionary.org/wiki/Wiktionary:Frequency_lists

Many thanks to the University of Leipzig for releasing their Dutch word lists: http://wortschatz.uni-leipzig.de/html/sitemap.html

Last but not least, big thanks to xkcd :) https://xkcd.com/936/