msumit / zxcvbn-rails

Use Dropbox's zxcvbn.js for both frontend and backend validations

zxcvbn-rails

Fork of zxcvbn-js

This fork runs the JS implementation via ExecJS so that the results are the same. This fixes discrepancies in the implentation for using zxcvbn also for client-side validation.

Ruby port of zxcvbn.js

Usage

Gemfile:

gem 'zxcvbn-rails'

Add zxcvbn.js to your app/assets/javascripts/application.js

//= require zxcvbn

Example usage:

$ irb
>> require 'zxcvbn'
=> true
>> Zxcvbn.test('@lfred2004', ['alfred'])
=> #<OpenStruct password="@lfred2004", guesses=15000, guesses_log10=4.176091259055681, sequence=[{"pattern"=>"dictionary", "i"=>0, "j"=>5, "token"=>"@lfred", "matched_word"=>"alfred", "rank"=>1, "dictionary_name"=>"user_inputs", "reversed"=>false, "l33t"=>true, "sub"=>{"@"=>"a"}, "sub_display"=>"@ -> a", "base_guesses"=>1, "uppercase_variations"=>1, "l33t_variations"=>2, "guesses"=>50, "guesses_log10"=>1.6989700043360185}, {"pattern"=>"regex", "token"=>"2004", "i"=>6, "j"=>9, "regex_name"=>"recent_year", "regex_match"=>["2004"], "guesses"=>50, "guesses_log10"=>1.6989700043360185}], calc_time=10, crack_times_seconds={"online_throttling_100_per_hour"=>540000, "online_no_throttling_10_per_second"=>150, "offline_slow_hashing_1e4_per_second"=>1.5, "offline_fast_hashing_1e10_per_second"=>1.5e-06}, crack_times_display={"online_throttling_100_per_hour"=>"6 days", "online_no_throttling_10_per_second"=>"3 minutes", "offline_slow_hashing_1e4_per_second"=>"2 seconds", "offline_fast_hashing_1e10_per_second"=>"less than a second"}, score=1, feedback={"warning"=>"", "suggestions"=>["Add another word or two. Uncommon words are better.", "Predictable substitutions like '@' instead of 'a' don't help very much"]}>
>> Zxcvbn.test('asdfghju7654rewq', ['alfred'])
=> #<OpenStruct password="asdfghju7654rewq", guesses=923189026.4430684, guesses_log10=8.965290633567779, sequence=[{"pattern"=>"spatial", "i"=>0, "j"=>15, "token"=>"asdfghju7654rewq", "graph"=>"qwerty", "turns"=>5, "shifted_count"=>0, "guesses"=>923189025.4430684, "guesses_log10"=>8.96529063309735}], calc_time=12, crack_times_seconds={"online_throttling_100_per_hour"=>33234804951.950462, "online_no_throttling_10_per_second"=>9231890.264430683, "offline_slow_hashing_1e4_per_second"=>92318.90264430684, "offline_fast_hashing_1e10_per_second"=>0.09231890264430684}, crack_times_display={"online_throttling_100_per_hour"=>"centuries", "online_no_throttling_10_per_second"=>"3 months", "offline_slow_hashing_1e4_per_second"=>"1 day", "offline_fast_hashing_1e10_per_second"=>"less than a second"}, score=3, feedback={"warning"=>"", "suggestions"=>[]}>

Testing Multiple Passwords

The dictionaries used for password strength testing are loaded each request to Zxcvbn.test. If you you'd prefer to persist the dictionaries in memory (approx 20MB RSS) to perform lots of password tests in succession then you can use the Zxcvbn::Tester API:

$ irb
>> require 'zxcvbn'
=> true
>> tester = Zxcvbn::Tester.new
=> #<Zxcvbn::Tester:0x3fe99d869aa4>
>> tester.test('@lfred2004', ['alfred'])
=> #<Zxcvbn::Score:0x007fd4689c1168 @entropy=29.782, @crack_time=46159.451, @crack_time_display="14 hours", @score=2, @match_sequence=[#<Zxcvbn::Match pattern="spatial", i=0, j=15, token="asdfghju7654rewq", graph="qwerty", turns=5, shifted_count=0, entropy=29.7820508329166>], password"asdfghju7654rewq", calc_time0.00526
>> tester.test('@lfred2004', ['alfred'])
=> #<Zxcvbn::Score:0x007fd4689c1168 @entropy=29.782, @crack_time=46159.451, @crack_time_display="14 hours", @score=2, @match_sequence=[#<Zxcvbn::Match pattern="spatial", i=0, j=15, token="asdfghju7654rewq", graph="qwerty", turns=5, shifted_count=0, entropy=29.7820508329166>], password"asdfghju7654rewq", calc_time0.00526

Note: Storing the entropy of an encrypted or hashed value provides information that can make cracking the value orders of magnitude easier for an attacker. For this reason we advise you not to store the results of Zxcvbn::Tester#test. Further reading: A Tale of Security Gone Wrong.