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Readme
|Build Status|
A realistic password strength estimator.
This is a Python implementation of the library created by the team at Dropbox.
The original library, written for JavaScript, can be found
here <https://github.com/dropbox/zxcvbn>
__.
While there may be other Python ports available, this one is the most up to date and is recommended by the original developers of zxcvbn at this time.
Install the package using pip: pip install zxcvbn
Pass a password as the first parameter, and a list of user-provided
inputs as the user_inputs
parameter (optional).
.. code:: python
from zxcvbn import zxcvbn
results = zxcvbn('JohnSmith123', user_inputs=['John', 'Smith'])
print(results)
Output:
::
{
'password': 'JohnSmith123',
'score': 2,
'guesses': 2567800,
'guesses_log10': 6.409561194521849,
'calc_time': datetime.timedelta(0, 0, 5204)
'feedback': {
'warning': '',
'suggestions': [
'Add another word or two. Uncommon words are better.',
"Capitalization doesn't help very much"
]
},
'crack_times_display': {
'offline_fast_hashing_1e10_per_second': 'less than a second'
'offline_slow_hashing_1e4_per_second': '4 minutes',
'online_no_throttling_10_per_second': '3 days',
'online_throttling_100_per_hour': '3 years',
},
'crack_times_seconds': {
'offline_fast_hashing_1e10_per_second': 0.00025678,
'offline_slow_hashing_1e4_per_second': 256.78
'online_no_throttling_10_per_second': 256780.0,
'online_throttling_100_per_hour': 92440800.0,
},
'sequence': [{
'matched_word': 'john',
'rank': 2,
'pattern': 'dictionary',
'reversed': False,
'token': 'John',
'l33t': False,
'uppercase_variations': 2,
'i': 0,
'guesses': 50,
'l33t_variations': 1,
'dictionary_name': 'male_names',
'base_guesses': 2,
'guesses_log10': 1.6989700043360185,
'j': 3
}, {
'matched_word': 'smith123',
'rank': 12789,
'pattern': 'dictionary',
'reversed': False,
'token': 'Smith123',
'l33t': False,
'uppercase_variations': 2,
'i': 4,
'guesses': 25578,
'l33t_variations': 1,
'dictionary_name': 'passwords',
'base_guesses': 12789,
'guesses_log10': 4.407866583030775,
'j': 11
}],
}
In order to support more languages or just add password dictionaries of your own, there is a helper function you may use.
.. code:: python
from zxcvbn.matching import add_frequency_lists
add_frequency_lists({
'my_list': ['foo', 'bar'],
'another_list': ['baz']
})
These lists will be added to the current ones, but you can also overwrite the current ones if you wish. The lists you add should be in order of how common the word is used with the most common words appearing first.
CLI
You an also use zxcvbn from the command line::
echo 'password' | zxcvbn --user-input <user-input> | jq
You can also execute the zxcvbn module::
echo 'password' | python -m zxcvbn --user-input <user-input> | jq
Contribute
----------
- Report an Issue: https://github.com/dwolfhub/zxcvbn-python/issues
- Submit a Pull Request: https://github.com/dwolfhub/zxcvbn-python/pulls
License
-------
The project is licensed under the MIT license.
.. |Build Status| image:: https://travis-ci.org/dwolfhub/zxcvbn-python.svg?branch=master
:target: https://travis-ci.org/dwolfhub/zxcvbn-python
FAQs
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We found that zxcvbn demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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