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LavaPasswordFactory.py
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LavaPasswordFactory.py
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# -*- coding: utf-8 -*-
'''
@author: lavalamp
Copyright 2014
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
'''
import logging
import tempfile
import base64
import gzip
import itertools
import argparse
from datetime import date
from datetime import datetime
top_ten_thousand_enc = 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"
class LavaUIFactory(object):
# Colors
BLACK = 30
RED = 31
GREEN = 32
YELLOW = 33
BLUE = 34
MAGENTA = 35
CYAN = 36
WHITE = 37
# Effects
BOLD = 1
FAINT = 2
ITALIC = 3
UNDERLINE = 4
SLOW_BLINK = 5
FAST_BLINK = 6
# Escape codes
ESCAPE_SEQUENCE = "\033[%sm"
END_SEQUENCE = "\033[0m"
# Lavalamp color map
lavalamp_color_map = {
"█": [
CYAN,
BOLD
],
"▄": [
CYAN
],
"▀": [
CYAN
],
"▐": [
CYAN
],
"▒": [
RED,
BOLD
],
"▓": [
RED,
BOLD
],
"░": [
RED
]
}
# Lavalamp splash
lavalamp_splash = '''
██▓ ▄▄▄ ██▒ █▓ ▄▄▄ ██▓ ▄▄▄ ███▄ ▄███▓ ██▓███
▓██▒ ▒████▄ ▓██░ █▒▒████▄ ▓██▒ ▒████▄ ▓██▒▀█▀ ██▒▓██░ ██▒
▒██░ ▒██ ▀█▄ ▓██ █▒░▒██ ▀█▄ ▒██░ ▒██ ▀█▄ ▓██ ▓██░▓██░ ██▓▒
▒██░ ░██▄▄▄▄██ ▒██ █░░░██▄▄▄▄██ ▒██░ ░██▄▄▄▄██ ▒██ ▒██ ▒██▄█▓▒ ▒
░██████▒ ▓█ ▓██▒ ▒▀█░ ▓█ ▓██▒░██████▒ ▓█ ▓██▒▒██▒ ░██▒▒██▒ ░ ░
░ ▒░▓ ░ ▒▒ ▓▒█░ ░ ▐░ ▒▒ ▓▒█░░ ▒░▓ ░ ▒▒ ▓▒█░░ ▒░ ░ ░▒▓▒░ ░ ░
░ ░ ▒ ░ ▒ ▒▒ ░ ░ ░░ ▒ ▒▒ ░░ ░ ▒ ░ ▒ ▒▒ ░░ ░ ░░▒ ░
░ ░ ░ ▒ ░░ ░ ▒ ░ ░ ░ ▒ ░ ░ ░░
░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░
░
'''
@classmethod
def apply_text_effects(cls, input_text, input_effects):
effects = ";".join([str(x) for x in input_effects])
begin_sequence = cls.ESCAPE_SEQUENCE % effects
return begin_sequence + input_text + cls.END_SEQUENCE
@classmethod
def get_colorized_lavalamp_splash(cls):
to_return = cls.lavalamp_splash
for cur_key in cls.lavalamp_color_map.keys():
effect_char = cls.apply_text_effects(
cur_key,
cls.lavalamp_color_map[cur_key]
)
to_return = to_return.replace(cur_key, effect_char)
return to_return
class LavaPasswordChecker(object):
def __init__(
self,
min_caps=None,
max_caps=None,
min_special_chars=None,
max_special_chars=None,
min_length=None,
max_length=None,
illegal_chars=None,
special_chars="!@#$%^&*()-_=+{}|[]\\;:'\",<.>/?",
*args,
**kwargs
):
self._min_caps = min_caps
self._max_caps = max_caps
self._min_special_chars = min_special_chars
self._max_special_chars = max_special_chars
self._min_length = min_length
self._max_length = max_length
self._illegal_chars = illegal_chars
self._special_chars = special_chars
self.__report_to_log()
def __report_to_log(self):
logger.info("LavaPasswordChecker instantiated with the following constraints:")
if self._min_caps:
logger.info(
"- Passwords must contain at least %d capital letters."
% (self._min_caps)
)
if self._max_caps:
logger.info(
"- Passwords must contain at most %d capital letters."
% (self._max_caps)
)
if self._min_special_chars:
logger.info(
"- Passwords must contain at least %d special characters."
% (self._min_special_chars)
)
if self._max_special_chars:
logger.info(
"- Passwords must contain at most %d special characters."
% (self._max_special_chars)
)
if self._min_length:
logger.info(
"- Passwords must be at least %d characters long."
% (self._min_length)
)
if self._max_length:
logger.info(
"- Passwords must be at most %d characters long."
% (self._max_length)
)
if self._illegal_chars:
logger.info(
"- The follow characters are not allowed in the password list: %s."
% (self._illegal_chars)
)
logger.info(
"- The characters included in the 'special characters' list are: %s."
% self._special_chars
)
def is_valid(self, term):
"""Checks to see if the input term is a valid password based on the
configuration of the given LavaPasswordChecker.
"""
if self._min_caps:
if len(filter(lambda x: x.isupper(), term)) < self._min_caps:
return False
if self._max_caps:
if len(filter(lambda x: x.isupper(), term)) > self._max_caps:
return False
if self._min_special_chars:
if len(filter(lambda x: x in self._special_chars, term)) < self._min_special_chars:
return False
if self._max_special_chars:
if len(filter(lambda x: x in self._special_chars, term)) > self._max_special_chars:
return False
if self._min_length:
if len(term) < self._min_length:
return False
if self._max_length:
if len(term) > self._max_length:
return False
if self._illegal_chars:
if filter(lambda x: x in self._illegal_chars, term):
return False
return True
def filter_list(self, input_list):
"""Filters the input list by all of the rules associated with the
given LavaPasswordChecker.
"""
logger.info(
"Starting filtering process with list of length %d."
% (len(input_list))
)
slen = len(input_list)
if self._min_caps:
blen = len(input_list)
input_list = filter(lambda x: sum([1 if y.isupper() else 0 for y in x]) >= self._min_caps, input_list)
logger.debug(
"A total of %d terms were removed based on minimum caps restriction of %d. New length is %d."
% (blen - len(input_list), self._min_caps, len(input_list))
)
if self._max_caps:
blen = len(input_list)
input_list = filter(lambda x: sum([1 if y.isupper() else 0 for y in x]) <= self._max_caps, input_list)
logger.debug(
"A total of %d terms were removed based on maximum caps restriction of %d. New length is %d."
% (blen - len(input_list), self._max_caps, len(input_list))
)
if self._min_special_chars:
blen = len(input_list)
input_list = filter(lambda x: sum([1 if y in self._special_chars else 0 for y in x]) >= self._min_special_chars, input_list)
logger.debug(
"A total of %d terms were removed based on minimum special characters restriction of %d. New length is %d."
% (blen - len(input_list), self._min_special_chars, len(input_list))
)
if self._max_special_chars:
blen = len(input_list)
input_list = filter(lambda x: sum([1 if y in self._special_chars else 0 for y in x]) <= self._max_special_chars, input_list)
logger.debug(
"A total of %d terms were removed based on maximum special characters restriction of %d. New length is %d."
% (blen - len(input_list), self._max_special_chars, len(input_list))
)
if self._min_length:
blen = len(input_list)
input_list = filter(lambda x: len(x) >= self._min_length, input_list)
logger.debug(
"A total of %d terms were removed based on minimum term length restriction of %d. New length is %d."
% (blen - len(input_list), self._min_length, len(input_list))
)
if self._max_length:
blen = len(input_list)
input_list = filter(lambda x: len(x) <= self._max_length, input_list)
logger.debug(
"A total of %d terms were removed based on maximum term length restriction of %d. New length is %d."
% (blen - len(input_list), self._max_length, len(input_list))
)
if self._illegal_chars:
blen = len(input_list)
input_list = filter(lambda x: sum([1 if y in self._illegal_chars else 0 for y in x]) == 0, input_list) #TODO clean this up
logger.debug(
"A total of %d terms were removed based on the illegal character list of %s. New length is %d."
% (blen - len(input_list), self._illegal_chars, len(input_list))
)
blen = len(input_list)
input_list = list(set(input_list))
logger.debug(
"A total of %d terms were removed as duplicates. New length is %d."
% (blen - len(input_list), len(input_list))
)
logger.info(
"A grand total of %d terms were removed in the filtering process. New list length is %d."
% (slen-len(input_list), len(input_list))
)
return input_list
class LavaLogFormatter(logging.Formatter):
BLUE = "\033[94m"
GREEN = "\033[92m"
RED = "\033[91m"
NONE = "\033[0m"
CYAN = "\033[96m"
MAGENTA = "\033[95m"
YELLOW = "\033[33m"
CRITICAL = RED + "%(asctime)s [ C ] %(message)s" + NONE
ERROR = "%(asctime)s [" + RED + " E " + NONE + "] %(message)s"
WARNING = "%(asctime)s [" + YELLOW + " W " + NONE + "] %(message)s"
INFO = "%(asctime)s [" + GREEN + " I " + NONE + "] %(message)s"
DEBUG = "%(asctime)s [" + BLUE + " D " + NONE + "] %(message)s"
def __init__(self):
super(LavaLogFormatter, self).__init__(datefmt="[%m/%d %H:%M:%S]")
# self.datefmt = "[%m/%d %H:%M:%S]"
def format(self, record):
if record.levelno == logging.CRITICAL:
self._fmt = LavaLogFormatter.CRITICAL
elif record.levelno == logging.ERROR:
self._fmt = LavaLogFormatter.ERROR
elif record.levelno == logging.WARNING:
self._fmt = LavaLogFormatter.WARNING
elif record.levelno == logging.INFO:
self._fmt = LavaLogFormatter.INFO
elif record.levelno == logging.DEBUG:
self._fmt = LavaLogFormatter.DEBUG
return super(LavaLogFormatter, self).format(record)
class LavaPasswordFactory(object):
"""A class for creating password lists for both online and offline attacks.
The LavaPasswordFactory takes a list of words as inputs and,
depending on whether the LavaPasswordFactory is initialized for online
(is_list_large=False) or offline (is_list_large=True) attacks, will produce
an appropriately-sized list of potential passwords. In both modes, the
generation process will use the seed_list property as the list to base all
other permutations off of. In online mode, the seed_list property will
contain all of the words in the input list in lowercase, uppercase, snake
case, and title case format (ie: ['one', 'two'] becomes ['one', 'ONE',
'One', 'two', 'TWO', 'Two', 'OnE', 'TwO']). In offline mode, the seed_list
will contain all items within the online mode in addition to all possible
non-repeating permutations of the words. As this is the list that all
other password creation processes is based off of, the size of this list
is exponentially (if not combinatorially) related to the size of the output
password list.
The following terms are used to describe smaller password lists which are
used as components in building finalized password lists:
- [WORD] - Words from the seed_list property.
- [PASS] - Common password terms (ie: password, secret, access). The list
of common terms depends on the running mode (offline vs. online) of
the LavaPasswordFactory instance.
- [PASS 1337] - 1337-speak permutations of common password terms. The list
of common terms depends on the running mode (offline vs. online) of
the LavaPasswordFactory instance.
- [WORD 1337] - 1337-speak permutations of the words in the seed_list
property. The number of possible character replacements as well as
the number of maximum characters replaced per word is determined
by the running mode (offline vs. online) of the LavaPasswordFactory.
In offline mode, up to five characters are replaced, whereas in online
mode up to three are replaced.
- [<NUM> DIGIT #] - A number that is up to <NUM> digits long.
- [MONTH] - A three-character abbreviation of all the months in the year
(ie: nov, dec, jan, .. ). When in offline mode, all of the months
will also be capitalized as well as title cased.
- [YEAR SHORT] - A two digit representation of the year (ie: 1988 is 88).
When in online mode, the number of years that this list goes back
is 50, whereas in offline mode it goes back 100.
- [YEAR LONG] - A four digit representation of the year. When in online
mode, the number of years that this list goes back is 50, whereas in
offline mode it goes back 100.
- [NUM SHIFT] - A list of all digits on the QWERTY keyboard with the
special character that occurs when shift is held when hitting that
digit (ie: 1!, 2@, 3#, .. ). In offline mode, the order of these will be
switched as well (ie: !1, @2, #3, .. ).
- [CHAR <CHAR>] - This denotes the placement of a single character. For
instance, [CHAR _] means placing the character "_" in the identified
location.
- [1234] - The sequence of characters "1234".
- [<NUM> DIGIT SPECIAL] - <NUM> special characters from the shift+number
key range with the rule that the two special characters must be right
next to one another on the keyboard (ex: !@, @#. #$, $%, .. )
The following passwords are generated both in online and offline modes:
- [WORD]
- [WORD] + [1 DIGIT #]
- [WORD] + [2 DIGIT #]
- [WORD] + [3 DIGIT #]
- [WORD] + [NUM SHIFT]
- [WORD] + [2 DIGIT SPECIAL]
- [WORD] + [3 DIGIT SPECIAL]
- [WORD 1337]
- [WORD 1337] + [1 DIGIT #]
- [WORD 1337] + [2 DIGIT #]
- [WORD 1337] + [3 DIGIT #]
- [WORD 1337] + [NUM SHIFT]
- [WORD 1337] + [2 DIGIT SPECIAL]
- [WORD 1337] + [3 DIGIT SPECIAL]
- [PASS]
- [PASS] + [1 DIGIT #]
- [PASS] + [2 DIGIT #]
- [PASS] + [3 DIGIT #]
- [PASS] + [NUM SHIFT]
- [PASS] + [2 DIGIT SPECIAL]
- [PASS] + [3 DIGIT SPECIAL]
- [PASS 1337]
- [PASS 1337] + [1 DIGIT #]
- [PASS 1337] + [2 DIGIT #]
- [PASS 1337] + [3 DIGIT #]
- [PASS 1337] + [NUM SHIFT]
- [PASS 1337] + [2 DIGIT SPECIAL]
- [PASS 1337] + [3 DIGIT SPECIAL]
- [WORD] + [PASS]
- [WORD 1337] + [PASS]
- [WORD] + [PASS 1337]
- [WORD 1337] + [PASS 1337]
- [WORD] + [PASS]
- [WORD] + [MONTH] + [YEAR SHORT]
- [WORD] + [MONTH] + [YEAR LONG]
- [WORD] + [1234]
The following passwords are generated in offline mode only:
- [WORD 1337] + [1 DIGIT #]
- [WORD 1337] + [2 DIGIT #]
- [WORD] + [PASS 1337]
- [WORD] + [PASS 1337] + [1 DIGIT #]
- [WORD] + [YEAR SHORT]
- [WORD] + [YEAR LONG]
- [WORD 1337] + [YEAR SHORT]
- [WORD 1337] + [YEAR LONG]
- [WORD 1337] + [MONTH] + [YEAR SHORT]
- [WORD 1337] + [MONTH] + [YEAR LONG]
- [PASSWORD] + [MONTH] + [YEAR SHORT]
- [PASSWORD] + [MONTH] + [YEAR LONG]
- [PASSWORD 1337] + [MONTH] + [YEAR SHORT]
- [PASSWORD 1337] + [MONTH] + [YEAR LONG]
- [WORD] + [CHAR _] + [PASSWORD]
- [WORD] + [CHAR _] + [PASSWORD 1337]
- [WORD 1337] + [1234]
- [PASS] + [WORD]
- [1 DIGIT #] + [WORD 1337]
- [2 DIGIT #] + [WORD 1337]
- [NUM SHIFT] + [WORD]
- [WORD] + [PASS 1337] + [2 DIGIT #]
- [1234] + [WORD]
- [1234] + [WORD 1337]
"""
_common_replacements = {
"a": [
"@",
"4",
],
"e": [
"3",
],
"i": [
"1",
"!",
"|",
],
"s": [
"$",
"5",
],
"t": [
"7",
"1",
],
"b": [
"8",
],
"g": [
"6",
"9",
],
"l": [
"1",
"!",
"|",
],
"o": [
"0"
],
}
_password_list_large = [
'password',
'PASSWORD',
'Password',
'PaSsWoRd',
'pass',
'PASS',
'Pass',
'PaSs',
'admin',
'ADMIN',
'Admin',
'AdMiN',
'secret',
'SECRET',
'Secret',
'SeCrEt',
'access',
'ACCESS',
'Access',
'AcCeSs',
]
_password_list_small = [
'password',
'PASSWORD',
'Password',
'PaSsWoRd',
'pass',
'PASS',
'Pass',
'PaSs',
'admin',
'Admin',
'secret',
'Secret'
]
def __init__(
self,
input_list,
is_offline=False,
min_length=8,
max_length=12,
*args,
**kwargs
):
self._is_offline = is_offline
self._input_list = input_list
self._max_leet_replace = 5 if self._is_offline else 3
self._min_length = min_length
self._max_length = max_length
self.__expand_common_replacements()
def __do_leet_replacements(self, input_list):
to_return = []
special_keys = self._common_replacements.keys()
for cur_item in input_list:
rep_positions = []
for (counter, char) in enumerate(cur_item):
if char in special_keys:
rep_positions.append(counter)
for perm_size in range(1, self._max_leet_replace+1):
rep_possibilities = itertools.combinations(rep_positions, perm_size)
for cur_possibility in rep_possibilities:
to_return.extend(self.__replace_characters_at_positions(cur_item, cur_possibility))
logger.debug(
"Completed special character replacement. Input list length: %d. Input permutation length range: [%d, %d]. Resulting list length: %d."
% (len(input_list), 1, self._max_leet_replace, len(to_return))
)
return to_return
def __expand_common_replacements(self):
for curkey in self._common_replacements.keys():
self._common_replacements[curkey.upper()] = self._common_replacements[curkey]
def __gen(self, input_length):
logger.info(
"Now starting generation of passwords of length %d."
% (input_length)
)
month_year_short = ["".join(x) for x in itertools.product(self.months, self.years_short)]
month_year_long = ["".join(x) for x in itertools.product(self.months, self.years_long)]
self.__log_for_length("[WORD]", input_length)
for pw in self.word_list:
yield pw[:input_length]
self.__log_for_length("[WORD] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in self.word_list], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[WORD] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[WORD] + [3 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.word_list], self.three_digit_numbers)]:
yield pw
self.__log_for_length("[WORD] + [NUM SHIFT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list], self.num_shift)]:
yield pw
self.__log_for_length("[WORD] + [2 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list], self.two_digit_specials)]:
yield pw
self.__log_for_length("[WORD] + [3 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.word_list], self.three_digit_specials)]:
yield pw
self.__log_for_length("[WORD 1337]", input_length)
for pw in self.word_list_leet:
yield pw[:input_length]
self.__log_for_length("[WORD 1337] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in self.word_list_leet], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[WORD 1337] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list_leet], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[WORD 1337] + [3 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.word_list_leet], self.three_digit_numbers)]:
yield pw
self.__log_for_length("[WORD 1337] + [NUM SHIFT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list_leet], self.num_shift)]:
yield pw
self.__log_for_length("[WORD 1337] + [2 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list_leet], self.two_digit_specials)]:
yield pw
self.__log_for_length("[WORD 1337] + [3 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.word_list_leet], self.three_digit_specials)]:
yield pw
self.__log_for_length("[PASS]", input_length)
for pw in self.password_list:
yield pw[:input_length]
self.__log_for_length("[PASS] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in self.password_list], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[PASS] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[PASS] + [3 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.password_list], self.three_digit_numbers)]:
yield pw
self.__log_for_length("[PASS] + [NUM SHIFT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list], self.num_shift)]:
yield pw
self.__log_for_length("[PASS] + [2 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list], self.two_digit_specials)]:
yield pw
self.__log_for_length("[PASS] + [3 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.password_list], self.three_digit_specials)]:
yield pw
self.__log_for_length("[PASS 1337]", input_length)
for pw in self.password_list_leet:
yield pw[:input_length]
self.__log_for_length("[PASS 1337] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in self.password_list_leet], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[PASS 1337] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list_leet], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[PASS 1337] + [3 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.password_list_leet], self.three_digit_numbers)]:
yield pw
self.__log_for_length("[PASS 1337] + [NUM SHIFT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list_leet], self.num_shift)]:
yield pw
self.__log_for_length("[PASS 1337] + [2 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.password_list_leet], self.two_digit_specials)]:
yield pw
self.__log_for_length("[PASS 1337] + [3 DIGIT SPECIAL]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-3] for y in self.password_list_leet], self.three_digit_specials)]:
yield pw
self.__log_for_length("[WORD] + [PASS]", input_length)
for pw in ["".join(x) for x in itertools.product(self.word_list, self.password_list)]:
yield pw[:input_length]
self.__log_for_length("[WORD 1337] + [PASS]", input_length)
for pw in ["".join(x) for x in itertools.product(self.word_list_leet, self.password_list)]:
yield pw[:input_length]
self.__log_for_length("[WORD] + [PASS 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(self.word_list, self.password_list_leet)]:
yield pw[:input_length]
self.__log_for_length("[WORD 1337] + [PASS 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(self.word_list_leet, self.password_list_leet)]:
yield pw[:input_length]
self.__log_for_length("[WORD] + [MONTH] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-5] for y in self.word_list], month_year_short)]:
yield pw
self.__log_for_length("[WORD] + [MONTH] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-7] for y in self.word_list], month_year_long)]:
yield pw
self.__log_for_length("[WORD] + [1234]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-4] for y in self.word_list], ["1234", ])]:
yield pw
if self._is_offline:
word_pass_leet = ["".join(x) for x in itertools.product(self.word_list, self.password_list_leet)]
word_char__ = ["".join(x) for x in itertools.product(self.word_list, ["_", ])]
self.__log_for_length("[WORD 1337] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in self.word_list_leet], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[WORD 1337] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list_leet], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[WORD] + [PASS 1337]", input_length)
for pw in word_pass_leet:
yield pw[:input_length]
self.__log_for_length("[WORD] + [PASS 1337] + [1 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-1] for y in word_pass_leet], self.one_digit_numbers)]:
yield pw
self.__log_for_length("[WORD] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list], self.years_short)]:
yield pw
self.__log_for_length("[WORD] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-4] for y in self.word_list], self.years_long)]:
yield pw
self.__log_for_length("[WORD 1337] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in self.word_list_leet], self.years_short)]:
yield pw
self.__log_for_length("[WORD 1337] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-4] for y in self.word_list_leet], self.years_long)]:
yield pw
self.__log_for_length("[WORD 1337] + [MONTH] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-5] for y in self.word_list_leet], month_year_short)]:
yield pw
self.__log_for_length("[WORD 1337] + [MONTH] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-7] for y in self.word_list_leet], month_year_long)]:
yield pw
self.__log_for_length("[PASSWORD] + [MONTH] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-5] for y in self.password_list], month_year_short)]:
yield pw
self.__log_for_length("[PASSWORD] + [MONTH] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-7] for y in self.password_list], month_year_long)]:
yield pw
self.__log_for_length("[PASSWORD 1337] + [MONTH] + [YEAR SHORT]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-5] for y in self.password_list_leet], month_year_short)]:
yield pw
self.__log_for_length("[PASSWORD 1337] + [MONTH] + [YEAR LONG]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-7] for y in self.password_list_leet], month_year_long)]:
yield pw
self.__log_for_length("[WORD] + [CHAR _] + [PASSWORD]", input_length)
for pw in ["".join(x) for x in itertools.product(word_char__, self.password_list)]:
yield pw[:input_length]
self.__log_for_length("[WORD] + [CHAR _] + [PASSWORD 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(word_char__, self.password_list_leet)]:
yield pw[:input_length]
self.__log_for_length("[WORD 1337] + [1234]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-4] for y in self.word_list_leet], ["1234", ])]:
yield pw
self.__log_for_length("[PASS] + [WORD]", input_length)
for pw in ["".join(x) for x in itertools.product(self.password_list, self.word_list)]:
yield pw[:input_length]
self.__log_for_length("[1 DIGIT #] + [WORD 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(self.one_digit_numbers, [y[:input_length-1] for y in self.word_list_leet])]:
yield pw
self.__log_for_length("[2 DIGIT #] + [WORD 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(self.two_digit_numbers, [y[:input_length-2] for y in self.word_list_leet])]:
yield pw
self.__log_for_length("[NUM SHIFT] + [WORD]", input_length)
for pw in ["".join(x) for x in itertools.product(self.num_shift, [y[:input_length-2] for y in self.word_list_leet])]:
yield pw
self.__log_for_length("[WORD] + [PASS 1337] + [2 DIGIT #]", input_length)
for pw in ["".join(x) for x in itertools.product([y[:input_length-2] for y in word_pass_leet], self.two_digit_numbers)]:
yield pw
self.__log_for_length("[1234] + [WORD]", input_length)
for pw in ["".join(x) for x in itertools.product(["1234", ], [y[:input_length-4] for y in self.word_list])]:
yield pw
self.__log_for_length("[1234] + [WORD 1337]", input_length)
for pw in ["".join(x) for x in itertools.product(["1234", ], [y[:input_length-4] for y in self.word_list_leet])]:
yield pw
logger.info(
"Password generation of length %d completed."
% (input_length)
)
def __log_for_length(self, term, length):
logger.debug(
"Generating %s with length <= %d."
% (term, length)
)
def __replace_characters_at_positions(self, input_string, input_positions):
rep_list = [input_string, ]
for cur_position in input_positions:
cur_list = []
for cur_replacement in self._common_replacements[input_string[cur_position]]:
for cur_string in rep_list:
csl = list(cur_string)
csl[cur_position] = cur_replacement
cur_list.append("".join(csl))
rep_list = cur_list
return rep_list
def gen(self):
"""Generates all of the passwords as configured by the
LavaPasswordFactory instance.
"""
logger.info("Now starting full password list generation.")
for x in range(self._min_length, self._max_length + 1):
for y in self.__gen(x):
yield y
logger.info("Completed full password list generation.")
@property
def num_shift(self):
try:
self._num_shift
except:
logger.debug("Generating the num_shift property.")
self._num_shift = ['1!', '2@', '3#', '4$', '5%', '6^', '7&', '8*', '9(', '0)']
if self._is_offline:
self._num_shift.extend(['!1', '@2', '#3', '$4', '%5', '^6', '&7', '*8', '(9', ')0'])
return self._num_shift
@property
def years_long(self):
try:
self._years_long
except:
logger.debug("Generating years_long property.")
back = 100 if self._is_offline else 50
this_year = date.today().year
self._years_long = [str(x) for x in range(this_year - back,this_year + 1)]
return self._years_long
@property
def years_short(self):
try:
self._years_short
except:
logger.debug("Generating years_short property.")
back = 100 if self._is_offline else 50
this_year = date.today().year
self._years_short = [str(x)[2:] for x in range(this_year - back,this_year + 1)]
return self._years_short
@property
def months(self):
try:
self._months
except:
logger.debug("Generating months property.")
months = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
self._months = []
self._months.extend(months)
if self._is_offline:
self._months.extend([x.upper() for x in months])
self._months.extend([x.title() for x in months])
return self._months
@property
def three_digit_numbers(self):
try:
self._three_digit_numbers
except:
logger.debug("Generating three_digit_numbers property.")
self._three_digit_numbers = [str(x) for x in list(range(100,1000))]
return self._three_digit_numbers
@property
def two_digit_numbers(self):
try:
self._two_digit_numbers
except:
logger.debug("Generating two_digit_numbers property.")
self._two_digit_numbers = [str(x).zfill(2) for x in list(range(0,100))]
return self._two_digit_numbers
@property
def one_digit_numbers(self):
try:
self._single_digit_numbers
except:
logger.debug("Generating one_digit_numbers property.")
self._single_digit_numbers = [str(x) for x in list(range(0,10))]
return self._single_digit_numbers
@property
def three_digit_specials(self):
try:
self._three_digit_specials
except:
logger.debug("Generating three_digit_specials property.")
self._three_digit_specials = ['!@#', '@#$', '#$%', '$%^', '%^&', '^&*', '&*(', '*()']
return self._three_digit_specials
@property
def two_digit_specials(self):
try:
self._two_digit_specials
except:
logger.debug("Generating two_digit_specials property.")
self._two_digit_specials = ['!@', '@#', '#$', '$%', '%^', '^&', '&*', '*(', '()']
return self._two_digit_specials
@property
def password_list_leet(self):
try:
self._password_list_leet
except:
logger.debug("Generating password_list_leet property.")
self._password_list_leet = self.__do_leet_replacements(self.password_list)
return self._password_list_leet
@property
def password_list(self):
try:
self._password_list
except:
logger.debug("Setting password_list property.")
self._password_list = self._password_list_large if self._is_offline else self._password_list_small
return self._password_list
@property
def word_list_leet(self):
try:
self._word_list_leet
except:
logger.debug("Generating word_list_leet property.")
self._word_list_leet = self.__do_leet_replacements(self.word_list)
return self._word_list_leet
@property
def basic_transformations(self):
"""Get a list of all of the words supplied to the LavaPasswordFactory
instance in full lowercase, full uppercase, and title case.
"""
try:
self._basic_transformations
except:
logger.debug("Generating basic_transformations property.")
self._basic_transformations = [x.lower() for x in self._input_list]
self._basic_transformations.extend([x.upper() for x in self._input_list])
self._basic_transformations.extend([x.lower().title() for x in self._input_list])
self._basic_transformations.extend(["".join([x[n].lower() if n%2 else x[n].upper() for n in range(len(x))]) for x in self._input_list])
return self._basic_transformations
@property
def basic_permutations(self):
"""Get a list of passwords where the LavaPasswordFactory's
seed list is permuted with itself. For instance, a list of
['one', 'two'] will give a basic_permutations of ['one', 'two',
'onetwo', 'twoone'].
"""
try:
self._basic_permutations
except:
logger.debug("Generating basic_permutations property.")
self._basic_permutations = []
for permutation_length in range(1, len(self.basic_transformations) + 1):
cur_set = []
p = set(itertools.permutations(self.basic_transformations, permutation_length))
# This is to prevent same word occurring twice, such as wordWORD
for cur_tuple in p:
test_set = set([x.lower() for x in cur_tuple])
if len(test_set) == len(cur_tuple):
if len(cur_tuple) == 1:
cur_set.append(cur_tuple[0])
else:
cur_set.append("".join(cur_tuple))
self._basic_permutations.extend(cur_set)
return self._basic_permutations
@property
def word_list(self):
"""Get the basic list of terms that is used as a seed list
for all other permutations performed by the LavaPasswordFactory.
"""
return self.basic_permutations if self._is_offline else self.basic_transformations
def clean_arguments(arguments):
try:
arguments.input_list = arguments.input_list.strip().split(" ")
except:
pass
return arguments
def configure_logging(input_level="DEBUG"):
if input_level == "INFO":
lvl = logging.INFO
elif input_level == "WARNING":
lvl = logging.WARNING
elif input_level == "ERROR":
lvl = logging.ERROR
elif input_level == "CRITICAL":
lvl = logging.CRITICAL
elif input_level == "DEBUG":
lvl = logging.DEBUG
logger.setLevel(lvl)
formatter = LavaLogFormatter()
stream_handler = logging.StreamHandler()
stream_handler.setFormatter(formatter)
logger.addHandler(stream_handler)
def do_clean(input_args):
opts = vars(input_args)
lpc = LavaPasswordChecker(**opts)
logger.info(
"Now cleaning passwords found in file '%s' and writing valid passwords to '%s'."
% (input_args.input_file, input_args.output_file)
)
num_lines = 0
num_pass = 0
num_fail = 0
with open(input_args.input_file, 'r') as fi:
with open(input_args.output_file, 'w+') as fo:
for cur_pass in fi:
num_lines += 1
if lpc.is_valid(cur_pass):
num_pass += 1
fo.write(cur_pass + "\n")
else:
num_fail += 1
if num_lines % 500000 == 0:
logger.info(
"Total passwords checked: %d. Total passwords passed: %d. Total passwords removed: %d."
% (num_lines, num_pass, num_fail)
)
logger.info(
"Password cleaning done! Total passwords checked: %d. Total passwords passed: %d. Total passwords removed: %d."
% (num_lines, num_pass, num_fail)
)
def do_generate(input_args):
opts = vars(input_args)
if input_args.is_offline:
logger.info(