Class: Zxcvbn::Matching
- Inherits:
-
Object
- Object
- Zxcvbn::Matching
- Defined in:
- lib/zxcvbn/matching.rb
Constant Summary collapse
- REGEXEN =
{ # alpha_lower: /[a-z]/, # recent_year: /19\d\d|200\d|201\d/g "recent_year" => /19\d\d|200\d|201\d/ }.freeze
- DATE_MAX_YEAR =
2050
- DATE_MIN_YEAR =
1000
- DATE_SPLITS =
{ 4 => [ # for length-4 strings, eg 1191 or 9111, two ways to split: [ 1, 2 # 1 1 91 (2nd split starts at index 1, 3rd at index 2) ], [ 2, 3 # 91 1 1 ] ], 5 => [ [ 1, 3 # 1 11 91 ], [ 2, 3 # 11 1 91 ] ], 6 => [ [ 1, 2 # 1 1 1991 ], [ 2, 4 # 11 11 91 ], [ 4, 5 # 1991 1 1 ] ], 7 => [ [ 1, 3 # 1 11 1991 ], [ 2, 3 # 11 1 1991 ], [ 4, 5 # 1991 1 11 ], [ 4, 6 # 1991 11 1 ] ], 8 => [ [ 2, 4 # 11 11 1991 ], [ 4, 6 # 1991 11 11 ] ] }.freeze
- SHIFTED_RX =
/[~!@#$%^&*()_+QWERTYUIOP{}|ASDFGHJKL:"ZXCVBNM<>?]/.freeze
- MAX_DELTA =
5
Instance Method Summary collapse
- #build_ranked_dict(ordered_list) ⇒ Object
- #build_user_input_dictionary(user_inputs_or_dict) ⇒ Object
- #check_dictionary(matches, password, dictionary_name, ranked_dict) ⇒ Object
-
#date_match(password) ⇒ Object
——————————————————————————- date matching —————————————————————- ——————————————————————————-.
-
#dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) ⇒ Object
——————————————————————————- dictionary match (common passwords, english, last names, etc) —————- ——————————————————————————-.
-
#enumerate_l33t_subs(table) ⇒ Object
returns the list of possible 1337 replacement dictionaries for a given password.
- #graphs ⇒ Object
- #l33t_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries, _l33t_table = l33t_table) ⇒ Object
- #l33t_table ⇒ Object
- #map_ints_to_dm(ints) ⇒ Object
- #map_ints_to_dmy(ints) ⇒ Object
-
#omnimatch(password, user_inputs = []) ⇒ Object
—————————————————————————— omnimatch – combine everything ———————————————- ——————————————————————————.
- #ranked_dictionaries ⇒ Object
- #ranked_dictionaries_max_word_size ⇒ Object
-
#regex_match(password, _regexen = REGEXEN) ⇒ Object
——————————————————————————- regex matching ————————————————————— ——————————————————————————-.
-
#relevant_l33t_subtable(password, table) ⇒ Object
——————————————————————————- dictionary match with common l33t substitutions —————————— ——————————————————————————- makes a pruned copy of l33t_table that only includes password’s possible substitutions.
-
#repeat_match(password, user_dict) ⇒ Object
——————————————————————————- repeats (aaa, abcabcabc) and sequences (abcdef) —————————— ——————————————————————————-.
- #reverse_dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) ⇒ Object
- #sequence_match(password) ⇒ Object
- #sorted(matches) ⇒ Object
-
#spatial_match(password, _graphs = graphs) ⇒ Object
—————————————————————————— spatial match (qwerty/dvorak/keypad) —————————————– ——————————————————————————.
- #spatial_match_helper(password, graph, graph_name) ⇒ Object
- #translate(string, chr_map) ⇒ Object
- #two_to_four_digit_year(year) ⇒ Object
Instance Method Details
#build_ranked_dict(ordered_list) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 5 def build_ranked_dict(ordered_list) result = {} # rank starts at 1, not 0 ordered_list.each_with_index do |word, idx| result[word] = idx + 1 end result end |
#build_user_input_dictionary(user_inputs_or_dict) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 207 def build_user_input_dictionary(user_inputs_or_dict) # optimization: if we receive a hash, we've been given the dict back (from the repeat matcher) return user_inputs_or_dict if user_inputs_or_dict.is_a?(Hash) sanitized_inputs = [] user_inputs_or_dict.each do |arg| sanitized_inputs << arg.to_s.downcase if arg.is_a?(String) || arg.is_a?(Numeric) || arg == true || arg == false end build_ranked_dict(sanitized_inputs) end |
#check_dictionary(matches, password, dictionary_name, ranked_dict) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 166 def check_dictionary(matches, password, dictionary_name, ranked_dict) len = password.length password_lower = password.downcase longest_word_size = ranked_dictionaries_max_word_size.fetch(dictionary_name) do ranked_dict.each_key.max_by(&:size)&.size || 0 end search_width = [longest_word_size, len].min (0...len).each do |i| search_end = [i + search_width, len].min (i...search_end).each do |j| if ranked_dict.key?(password_lower[i..j]) word = password_lower[i..j] rank = ranked_dict[word] matches << { "pattern" => "dictionary", "i" => i, "j" => j, "token" => password[i..j], "matched_word" => word, "rank" => rank, "dictionary_name" => dictionary_name, "reversed" => false, "l33t" => false } end end end end |
#date_match(password) ⇒ Object
date matching —————————————————————-
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# File 'lib/zxcvbn/matching.rb', line 567 def date_match(password) # a "date" is recognized as: # any 3-tuple that starts or ends with a 2- or 4-digit year, # with 2 or 0 separator chars (1.1.91 or 1191), # maybe zero-padded (01-01-91 vs 1-1-91), # a month between 1 and 12, # a day between 1 and 31. # NOTE: this isn't true date parsing in that "feb 31st" is allowed, # this doesn't check for leap years, etc. # recipe: # start with regex to find maybe-dates, then attempt to map the integers # onto month-day-year to filter the maybe-dates into dates. # finally, remove matches that are substrings of other matches to reduce noise. # NOTE: instead of using a lazy or greedy regex to find many dates over the full string, # this uses a ^...$ regex against every substring of the password -- less performant but leads # to every possible date match. matches = [] maybe_date_no_separator = /^\d{4,8}$/ # maybe_date_with_separator = %r{ # ^ # ( \d{1,4} ) # day, month, year # ( [\s/\\_.-] ) # separator # ( \d{1,2} ) # day, month # \2 # same separator # ( \d{1,4} ) # day, month, year # $ # } maybe_date_with_separator = %r{^(\d{1,4})([\s/\\_.-])(\d{1,2})\2(\d{1,4})$} (0..(password.length - 4)).each do |i| (i + 3..i + 7).each do |j| break if j >= password.length token = password[i..j] next if !maybe_date_no_separator.match(token) candidates = [] DATE_SPLITS[token.length].each do |(k, l)| dmy = map_ints_to_dmy([token[0...k].to_i, token[k...l].to_i, token[l..-1].to_i]) candidates << dmy if dmy end next if candidates.empty? # at this point: different possible dmy mappings for the same i,j substring. # match the candidate date that likely takes the fewest guesses: a year closest to 2000. # (scoring.REFERENCE_YEAR). # ie, considering '111504', prefer 11-15-04 to 1-1-1504 # (interpreting '04' as 2004) best_candidate = candidates.min_by { |candidate| (candidate["year"] - Scoring::REFERENCE_YEAR).abs } matches << { "pattern" => "date", "token" => token, "i" => i, "j" => j, "separator" => "", "year" => best_candidate["year"], "month" => best_candidate["month"], "day" => best_candidate["day"] } end end # dates with separators are between length 6 '1/1/91' and 10 '11/11/1991' (0..password.length - 6).each do |i| (i + 5..i + 9).each do |j| break if j >= password.length token = password[i..j] rx_match = maybe_date_with_separator.match(token) next if !rx_match dmy = map_ints_to_dmy([rx_match[1].to_i, rx_match[3].to_i, rx_match[4].to_i]) next if !dmy matches << { "pattern" => "date", "token" => token, "i" => i, "j" => j, "separator" => rx_match[2], "year" => dmy["year"], "month" => dmy["month"], "day" => dmy["day"] } end end # matches now contains all valid date strings in a way that is tricky to capture # with regexes only. while thorough, it will contain some unintuitive noise: # '2015_06_04', in addition to matching 2015_06_04, will also contain # 5(!) other date matches: 15_06_04, 5_06_04, ..., even 2015 (matched as 5/1/2020) # to reduce noise, remove date matches that are strict substrings of others sorted(matches.uniq.reject do |match| matches.find do |other_match| (match["i"] > other_match["i"] && match["j"] <= other_match["j"]) || (match["i"] >= other_match["i"] && match["j"] < other_match["j"]) end end) end |
#dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) ⇒ Object
dictionary match (common passwords, english, last names, etc) —————-
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# File 'lib/zxcvbn/matching.rb', line 156 def dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) # _ranked_dictionaries variable is for unit testing purposes matches = [] _ranked_dictionaries.each do |dictionary_name, ranked_dict| check_dictionary(matches, password, dictionary_name, ranked_dict) end check_dictionary(matches, password, "user_inputs", user_dict) sorted(matches) end |
#enumerate_l33t_subs(table) ⇒ Object
returns the list of possible 1337 replacement dictionaries for a given password
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# File 'lib/zxcvbn/matching.rb', line 239 def enumerate_l33t_subs(table) dedup = lambda do |subs| deduped = [] members = {} subs.each do |sub| assoc = sub.map { |k, v| [k, v] } assoc.sort! label = assoc.map { |k, v| "#{k},#{v}" }.join("-") if !members.key?(label) members[label] = true deduped << sub end end return deduped end subs = [[]] helper = lambda do |keys| return if keys.empty? first_key = keys[0] rest_keys = keys[1..-1] next_subs = [] table[first_key].each do |l33t_chr| subs.each do |sub| dup_l33t_index = -1 (0...sub.length).each do |i| if sub[i][0] == l33t_chr dup_l33t_index = i break end end if dup_l33t_index == -1 sub_extension = sub + [[l33t_chr, first_key]] next_subs << sub_extension else sub_alternative = sub.dup sub_alternative.delete_at(dup_l33t_index) sub_alternative << [l33t_chr, first_key] next_subs << sub next_subs << sub_alternative end end end subs = dedup.call(next_subs) helper.call(rest_keys) end keys = table.keys helper.call(keys) sub_dicts = [] # convert from assoc lists to dicts subs.each do |sub| sub_dict = {} sub.each do |(l33t_chr, chr)| sub_dict[l33t_chr] = chr end sub_dicts << sub_dict end sub_dicts end |
#graphs ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 26 def graphs @graphs ||= { "qwerty" => ADJACENCY_GRAPHS["qwerty"], "dvorak" => ADJACENCY_GRAPHS["dvorak"], "keypad" => ADJACENCY_GRAPHS["keypad"], "mac_keypad" => ADJACENCY_GRAPHS["mac_keypad"] }.freeze end |
#l33t_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries, _l33t_table = l33t_table) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 304 def l33t_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries, _l33t_table = l33t_table) matches = [] enumerate_l33t_subs(relevant_l33t_subtable(password, _l33t_table)).each do |sub| break if sub.empty? # corner case: password has no relevant subs. subbed_password = translate(password, sub) dictionary_match(subbed_password, user_dict, _ranked_dictionaries).each do |match| token = password[match["i"]..match["j"]] if token.downcase == match["matched_word"] next # only return the matches that contain an actual substitution end match_sub = {} # subset of mappings in sub that are in use for this match sub.each do |subbed_chr, chr| match_sub[subbed_chr] = chr if token.index(subbed_chr) end match["l33t"] = true match["token"] = token match["sub"] = match_sub match["sub_display"] = match_sub.map { |k, v| "#{k} -> #{v}" }.join(", ") matches << match end end sorted(matches.select do |match| # filter single-character l33t matches to reduce noise. # otherwise '1' matches 'i', '4' matches 'a', both very common English words # with low dictionary rank. match["token"].length > 1 end) end |
#l33t_table ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 35 def l33t_table @l33t_table ||= { "a" => ["4", "@"], "b" => ["8"], "c" => ["(", "{", "[", "<"], "e" => ["3"], "g" => ["6", "9"], "i" => ["1", "!", "|"], "l" => ["1", "|", "7"], "o" => ["0"], "s" => ["$", "5"], "t" => ["+", "7"], "x" => ["%"], "z" => ["2"] }.freeze end |
#map_ints_to_dm(ints) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 733 def map_ints_to_dm(ints) [ints, ints.reverse].each do |(d, m)| if (d >= 1 && d <= 31) && (m >= 1 && m <= 12) return { "day" => d, "month" => m } end end nil end |
#map_ints_to_dmy(ints) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 673 def map_ints_to_dmy(ints) # given a 3-tuple, discard if: # middle int is over 31 (for all dmy formats, years are never allowed in the middle) # middle int is zero # any int is over the max allowable year # any int is over two digits but under the min allowable year # 2 ints are over 31, the max allowable day # 2 ints are zero # all ints are over 12, the max allowable month return if ints[1] > 31 || ints[1] <= 0 over_12 = 0 over_31 = 0 under_1 = 0 ints.each do |int| return nil if (int > 99 && int < DATE_MIN_YEAR) || int > DATE_MAX_YEAR over_31 += 1 if int > 31 over_12 += 1 if int > 12 under_1 += 1 if int <= 0 end return if over_31 >= 2 || over_12 == 3 || under_1 >= 2 possible_year_splits = [ [ints[2], ints[0..1]], # year last [ints[0], ints[1..2]] # year first ] possible_year_splits.each do |(y, rest)| if DATE_MIN_YEAR <= y && y <= DATE_MAX_YEAR dm = map_ints_to_dm(rest) # for a candidate that includes a four-digit year, # when the remaining ints don't match to a day and month, # it is not a date. return nil if !dm return { "year" => y, "month" => dm["month"], "day" => dm["day"] } end end # given no four-digit year, two digit years are the most flexible int to match, so # try to parse a day-month out of ints[0..1] or ints[1..0] possible_year_splits.each do |(y, rest)| # rubocop:disable Style/CombinableLoops dm = map_ints_to_dm(rest) if dm y = two_to_four_digit_year(y) return { "year" => y, "month" => dm["month"], "day" => dm["day"] } end end nil end |
#omnimatch(password, user_inputs = []) ⇒ Object
omnimatch – combine everything ———————————————-
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# File 'lib/zxcvbn/matching.rb', line 139 def omnimatch(password, user_inputs = []) user_dict = build_user_input_dictionary(user_inputs) matches = [] matches += dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) matches += reverse_dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) matches += l33t_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries, _l33t_table = l33t_table) matches += spatial_match(password, _graphs = graphs) matches += repeat_match(password, user_dict) matches += sequence_match(password) matches += regex_match(password, _regexen = REGEXEN) matches += date_match(password) sorted(matches) end |
#ranked_dictionaries ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 14 def ranked_dictionaries @ranked_dictionaries ||= Zxcvbn.frequency_lists.transform_values do |lst| build_ranked_dict(lst) end end |
#ranked_dictionaries_max_word_size ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 20 def ranked_dictionaries_max_word_size @ranked_dictionaries_max_word_size ||= ranked_dictionaries.transform_values do |word_scores| word_scores.each_key.max_by(&:size)&.size || 0 end end |
#regex_match(password, _regexen = REGEXEN) ⇒ Object
regex matching —————————————————————
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# File 'lib/zxcvbn/matching.rb', line 543 def regex_match(password, _regexen = REGEXEN) matches = [] _regexen.each do |name, regex| # regex.lastIndex = 0; # keeps regex_match stateless match_index = 0 while (rx_match = regex.match(password, match_index)) token = rx_match[0] matches << { "pattern" => "regex", "token" => token, "i" => rx_match.begin(0), "j" => rx_match.end(0) - 1, "regex_name" => name, "regex_match" => rx_match.to_a } match_index = rx_match.begin(0) + 1 end end sorted(matches) end |
#relevant_l33t_subtable(password, table) ⇒ Object
dictionary match with common l33t substitutions ——————————
makes a pruned copy of l33t_table that only includes password’s possible substitutions
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# File 'lib/zxcvbn/matching.rb', line 222 def relevant_l33t_subtable(password, table) password_chars = {} password.chars.each do |chr| password_chars[chr] = true end subtable = {} table.each do |letter, subs| relevant_subs = [] subs.each do |sub| relevant_subs << sub if password_chars[sub] end subtable[letter] = relevant_subs if !relevant_subs.empty? end subtable end |
#repeat_match(password, user_dict) ⇒ Object
repeats (aaa, abcabcabc) and sequences (abcdef) ——————————
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# File 'lib/zxcvbn/matching.rb', line 420 def repeat_match(password, user_dict) matches = [] greedy = /(.+)\1+/ lazy = /(.+?)\1+/ lazy_anchored = /^(.+?)\1+$/ last_index = 0 while last_index < password.length # greedy_last_index = lazy_last_index = last_index greedy_match = greedy.match(password, last_index) lazy_match = lazy.match(password, last_index) break if !greedy_match # coverage ??? if greedy_match[0].length > lazy_match[0].length # greedy beats lazy for 'aabaab' # greedy: [aabaab, aab] # lazy: [aa, a] match = greedy_match # greedy's repeated string might itself be repeated, eg. # aabaab in aabaabaabaab. # run an anchored lazy match on greedy's repeated string # to find the shortest repeated string base_token = lazy_anchored.match(match[0])[1] else # lazy beats greedy for 'aaaaa' # greedy: [aaaa, aa] # lazy: [aaaaa, a] match = lazy_match base_token = match[1] end i = match.begin(0) j = match.end(0) - 1 # recursively match and score the base string base_analysis = Scoring.most_guessable_match_sequence(base_token, omnimatch(base_token, user_dict)) base_matches = base_analysis["sequence"] base_guesses = base_analysis["guesses"] matches << { "pattern" => "repeat", "i" => i, "j" => j, "token" => match[0], "base_token" => base_token, "base_guesses" => base_guesses, "base_matches" => base_matches, "repeat_count" => match[0].length / base_token.length } last_index = j + 1 end matches end |
#reverse_dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 195 def reverse_dictionary_match(password, user_dict, _ranked_dictionaries = ranked_dictionaries) reversed_password = password.reverse matches = dictionary_match(reversed_password, user_dict, _ranked_dictionaries) matches.each do |match| match["token"] = match["token"].reverse match["reversed"] = true # map coordinates back to original string match["i"], match["j"] = [password.length - 1 - match["j"], password.length - 1 - match["i"]] end sorted(matches) end |
#sequence_match(password) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 473 def sequence_match(password) # Identifies sequences by looking for repeated differences in unicode codepoint. # this allows skipping, such as 9753, and also matches some extended unicode sequences # such as Greek and Cyrillic alphabets. # for example, consider the input 'abcdb975zy' # password: a b c d b 9 7 5 z y # index: 0 1 2 3 4 5 6 7 8 9 # delta: 1 1 1 -2 -41 -2 -2 69 1 # expected result: # [(i, j, delta), ...] = [(0, 3, 1), (5, 7, -2), (8, 9, 1)] return [] if password.length == 1 result = [] update = lambda do |i, j, delta| delta ||= 0 if (j - i > 1 || delta.abs == 1) && (delta.abs > 0 && delta.abs <= MAX_DELTA) token = password[i..j] case token when /^[a-z]+$/ sequence_name = "lower" sequence_space = 26 when /^[A-Z]+$/ sequence_name = "upper" sequence_space = 26 when /^\d+$/ sequence_name = "digits" sequence_space = 10 else # conservatively stick with roman alphabet size. # (this could be improved) sequence_name = "unicode" sequence_space = 26 end return result << { "pattern" => "sequence", "i" => i, "j" => j, "token" => password[i..j], "sequence_name" => sequence_name, "sequence_space" => sequence_space, "ascending" => delta > 0 } end end result = [] i = 0 last_delta = nil (1...password.length).each do |k| delta = password[k].ord - password[k - 1].ord last_delta ||= delta next if delta == last_delta j = k - 1 update.call(i, j, last_delta) i = j last_delta = delta end update.call(i, password.length - 1, last_delta) result end |
#sorted(matches) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 131 def sorted(matches) # sort on i primary, j secondary matches.sort_by! { |match| [match["i"], match["j"]] } end |
#spatial_match(password, _graphs = graphs) ⇒ Object
spatial match (qwerty/dvorak/keypad) —————————————–
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# File 'lib/zxcvbn/matching.rb', line 338 def spatial_match(password, _graphs = graphs) matches = [] _graphs.each do |graph_name, graph| matches += spatial_match_helper(password, graph, graph_name) end sorted(matches) end |
#spatial_match_helper(password, graph, graph_name) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 348 def spatial_match_helper(password, graph, graph_name) matches = [] i = 0 while i < password.length - 1 j = i + 1 last_direction = nil turns = 0 shifted_count = if ["qwerty", "dvorak"].include?(graph_name) && SHIFTED_RX.match?(password[i]) # initial character is shifted 1 else 0 end loop do prev_char = password[j - 1] found = false found_direction = -1 cur_direction = -1 adjacents = graph[prev_char] || [] # consider growing pattern by one character if j hasn't gone over the edge. if j < password.length cur_char = password[j] adjacents.each do |adj| cur_direction += 1 if adj&.index(cur_char) found = true found_direction = cur_direction if adj.index(cur_char) == 1 # index 1 in the adjacency means the key is shifted, # 0 means unshifted: A vs a, % vs 5, etc. # for example, 'q' is adjacent to the entry '2@'. # @ is shifted w/ index 1, 2 is unshifted. shifted_count += 1 end if last_direction != found_direction # adding a turn is correct even in the initial case when last_direction is null: # every spatial pattern starts with a turn. turns += 1 last_direction = found_direction end break end end end # if the current pattern continued, extend j and try to grow again if found j += 1 else # otherwise push the pattern discovered so far, if any... if j - i > 2 # don't consider length 1 or 2 chains. matches << { "pattern" => "spatial", "i" => i, "j" => j - 1, "token" => password[i...j], "graph" => graph_name, "turns" => turns, "shifted_count" => shifted_count } end # ...and then start a new search for the rest of the password. i = j break end end end matches end |
#translate(string, chr_map) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 127 def translate(string, chr_map) string.chars.map { |chr| chr_map[chr] || chr }.join end |
#two_to_four_digit_year(year) ⇒ Object
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# File 'lib/zxcvbn/matching.rb', line 745 def two_to_four_digit_year(year) if year > 99 year elsif year > 50 # 87 -> 1987 year + 1900 else # 15 -> 2015 year + 2000 end end |