Skip to content

Instantly share code, notes, and snippets.

@166MMX

166MMX/__init__.py

Last active February 18, 2019 16:55
Show Gist options
  • Save 166MMX/6b23d77567a5e0e9be42257b91e4e09b to your computer and use it in GitHub Desktop.
Save 166MMX/6b23d77567a5e0e9be42257b91e4e09b to your computer and use it in GitHub Desktop.
Download ZIP
high entropy password generator tool with hashing capabilities
Raw
__init__.py
# https://docs.python.org/3/tutorial/modules.html#packages
Raw
make_pex.sh
#!/usr/bin/env sh
set -x
pex pwtool \
-r requirements.txt \
-o pwtool.pex \
-m pwtool:main \
--python-shebang '#!/usr/bin/env python3'
Raw
plot_topologies.py
#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
import math
import itertools
charset_letters_upper = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
charset_letters_lower = 'abcdefghijklmnopqrstuvwxyz'
charset_numbers = '0123456789'
charset_symbols = r''' !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~'''
def linear_diff_as_base(e):
f, l, n = e[0], e[-1], len(e)
avg = (l - f) / n
for i in range(n):
yield (e[i] - f) - (avg * i)
def contains_all_required(topology, source_set='luds'):
sorted_set = sorted(set(source_set))
return sorted_set == sorted(set(topology))
def exceeds_max_occurrence(topology, fall_off=0.65625, source_set='luds'):
source_set = set(source_set)
return True in set(topology.count(c) / len(topology) > fall_off for c in source_set)
def gen_topologies(length=100):
source_set = set('luds')
combinations = itertools.combinations_with_replacement(source_set, length)
for t in combinations:
# if not contains_all_required(t) or exceeds_max_occurrence(t):
# continue
yield ''.join(t)
def mark_max_occurrence(topologies, fall_off=0.65625):
for t in topologies:
yield t, exceeds_max_occurrence(t, fall_off)
def calc_entropy(topology):
return math.log2(
math.pow(len(charset_letters_lower), topology.count('l'))
* math.pow(len(charset_letters_upper), topology.count('u'))
* math.pow(len(charset_numbers), topology.count('d'))
* math.pow(len(charset_symbols), topology.count('s'))
)
def plot(topologies):
raw = list((calc_entropy(t), t) for t in topologies)
raw_sorted = sorted(raw, key=lambda tup: tup[0])
e, t = zip(*raw_sorted)
d = np.diff(e)
a2l = list(linear_diff_as_base(e))
line_style = '-'
fig, ax1 = plt.subplots()
ax2, ax3 = ax1.twinx(), ax1.twinx()
color = 'tab:blue'
ax1.set_ylabel('entroy', color=color)
ax1.tick_params(axis='y', labelcolor=color)
linear = ([0, len(e) - 1], [e[0], e[-1]])
line1, = ax1.plot(linear[0], linear[1], '--', color=color, linewidth=1, label='lin')
line2, = ax1.plot(e, line_style, color=color, label='abs')
color = 'tab:orange'
ax2.tick_params(axis='y', labelcolor=color)
linear = ([0, len(e) - 1], [0, 0])
line3, = ax2.plot(linear[0], linear[1], '--', color=color, linewidth=1, label='lin')
line4, = ax2.plot(a2l, line_style, color=color, label='abs:lin')
color = 'tab:green'
ax3.tick_params(axis='y', labelcolor=color)
# linear = ([0, len(e) - 1], [0, 0])
# line5, = ax3.plot(linear[0], linear[1], '--', color=color, linewidth=1, label='lin')
line6, = ax3.plot(d, line_style, color=color, label='diff', alpha=0.25)
# annotated = list(mark_max_occurrence(t))
# _, markers = zip(*annotated)
# plot_markers(plt, markers, facecolor='tab:red', alpha=0.5)
# https://matplotlib.org/gallery/ticks_and_spines/multiple_yaxis_with_spines.html#sphx-glr-gallery-ticks-and-spines-multiple-yaxis-with-spines-py
lines = [line2, line4, line6]
plt.legend(lines, [l.get_label() for l in lines], loc='right')
plt.savefig('entropy.pdf')
plt.show()
def plot_markers(plt, markers, **kwargs):
b, e = -1, -1
for i in range(len(markers)):
if markers[i]:
if b == -1:
b = i
e = i
else:
if b != -1:
plt.axvspan(b, e, **kwargs)
print(b, e)
b, e = -1, -1
def main():
length = 16
topologies = list(gen_topologies(length))
plot(topologies)
if __name__ == '__main__':
main()
Raw
pwtool.py
#!/usr/bin/env python3
"""Usage:
pwtool generate [LENGTH]
pwtool sha512_crypt [FILE]
Arguments:
LENGTH [default: 16]
FILE [default: stdin]
Example:
pwtool generate | tee plain.txt | pwtool sha512_crypt > hash.txt"""
# https://en.wikipedia.org/wiki/Random_password_generator#Stronger_methods
# http://www.passwordmeter.com/
# https://keepass.info/help/base/pwgenerator.html
# https://i.imgur.com/e3mGIFY.png
# https://www.reddit.com/r/dataisbeautiful/comments/322lbk/time_required_to_bruteforce_crack_a_password/
# https://blog.korelogic.com/blog/2014/04/04/pathwell_topologies
charset_letters_upper = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
charset_letters_lower = 'abcdefghijklmnopqrstuvwxyz'
charset_numbers = '0123456789'
charset_symbols = ''' !"#$%&'()*+,-./:;<=>?@[\]^_`{|}~'''
charset_space = ' '
keyset_dead = '^`~'
class CharacterPool(object):
def __init__(self, dead_keys=False, space=False, lower=True, upper=True,
numbers=True, symbols=True):
super(__class__).__init__()
self.with_dead_keys = dead_keys
self.with_space = space
self.with_lower = lower
self.with_upper = upper
self.with_numbers = numbers
self.with_symbols = symbols
pass
@property
def letters_upper(self):
return charset_letters_upper
@property
def letters_lower(self):
return charset_letters_lower
@property
def numbers(self):
return charset_numbers
@property
def symbols(self):
blacklist = self.blacklist
symbols = charset_symbols
return ''.join(c for c in symbols if c not in blacklist)
@property
def blacklist(self):
result = ''
if not self.with_dead_keys:
result += keyset_dead
if not self.with_space:
result += charset_space
return result
@property
def chars(self):
return self.letters_upper + self.letters_lower + self.numbers + self.symbols
class Validator(object):
import re
consequtive_letters_upper_pattern = re.compile('[a-zA-Z]{2,}')
consequtive_letters_lower_pattern = re.compile('[a-zA-Z]{2,}')
consequtive_numbers_pattern = re.compile('[0-9]{2,}')
consequtive_symbols_pattern = re.compile(r'[\u0020-\u002F\u003A-\u0040\u005B-\u0060\u007B-\u007E]{2,}')
repeating_chars_pattern = re.compile(r'(.)\1')
keyboard_layout_us = [
'`1234567890-=', 'qwertyuiop[]\\', 'asdfghjkl;\'', 'zxcvbnm,./',
'~!@#$%^&*()_+', 'QWERTYUIOP{}|', 'ASDFGHJKL:"', 'ZXCVBNM<>?',
]
keyboard_layout_de = [
'^1234567890ß´', 'qwertzuiopü+', 'asdfghjklöä#', '<yxcvbnm,.-',
'°!"§$%&/()=?`', 'QWERTZUIOPÜ*', 'ASDFGHJKLÖÄ\'', '>YXCVBNM;:_',
]
keyboard_layouts = keyboard_layout_us + keyboard_layout_de
# https://github.com/KoreLogicSecurity/libpathwell/blob/master/data/topology_blacklist.default
topology_blacklist = '''?d?d?d?d?d?d?d?d
?d?d?d?d?d?d?d?d?d
?d?d?d?d?d?d?d?d?s?s?u
?d?d?d?d?d?d?d?d?u?l
?d?d?d?d?d?d?d?l
?d?d?d?d?d?d?d?u?l
?d?d?d?d?d?d?l?l
?d?d?d?d?d?d?u?l
?d?d?d?d?d?d?u?l?l
?d?d?d?d?d?u?l?l?l
?d?d?d?d?l?l?l?l
?d?d?d?d?l?l?l?l?d
?d?d?d?d?l?l?l?l?l
?d?d?d?d?l?l?l?l?s
?d?d?d?d?l?l?l?s
?d?d?d?d?s?l?l?l?l
?d?d?d?d?s?l?l?l?l?l
?d?d?d?d?s?l?l?l?l?l?l?l?d
?d?d?d?d?u?l?l?l
?d?d?d?d?u?l?l?l?l
?d?d?d?d?u?l?l?l?l?l
?d?d?d?d?u?l?l?l?l?l?l
?d?d?d?d?u?l?l?l?l?l?l?l
?d?d?d?d?u?l?l?l?l?l?l?l?l
?d?d?d?d?u?l?l?l?s
?d?d?d?d?u?l?l?s
?d?d?d?d?u?l?l?u?l?u?l?l?l
?d?d?d?d?u?u?l?l
?d?d?d?l?l?l?l?l
?d?d?d?l?l?l?l?l?l
?d?d?d?l?l?l?l?l?l?l
?d?d?d?s?l?l?l?l
?d?d?d?u?l?d?d?l
?d?d?d?u?l?l?l?l
?d?d?d?u?l?l?l?l?l
?d?d?d?u?l?l?l?l?l?l
?d?d?d?u?l?l?l?l?l?l?l
?d?d?l?l?l?l?l?l
?d?d?l?l?l?l?l?l?l
?d?d?l?l?l?l?l?l?l?l
?d?d?l?l?l?l?l?l?l?l?l
?d?d?l?l?l?l?u?l?l?l
?d?d?l?l?l?u?u?d?d
?d?d?l?u?l?d?d?d
?d?d?s?l?l?l?l?l
?d?d?s?l?l?l?u?u?u
?d?d?s?u?u?u?l?l?l
?d?d?u?l?l?l?d?d
?d?d?u?l?l?l?l?d
?d?d?u?l?l?l?l?d?d
?d?d?u?l?l?l?l?l
?d?d?u?l?l?l?l?l?d?d
?d?d?u?l?l?l?l?l?l
?d?d?u?l?l?l?l?l?l?l
?d?d?u?l?l?l?l?l?l?l?l
?d?d?u?l?l?l?l?l?l?l?l?l
?d?d?u?l?l?l?l?l?l?l?l?l?l
?d?d?u?l?l?l?l?l?s
?d?d?u?l?l?l?l?s
?d?d?u?l?l?l?l?u?l?d
?d?d?u?l?l?s?s?u?l?l?l?l?l?s
?d?d?u?s?s?l?s?l?d?d?d?d
?d?d?u?s?u?d?l?l
?d?d?u?s?u?d?l?u
?d?d?u?u?d?d?l?l?d?d?s?s
?d?l?d?d?d?l?d?d
?d?l?d?l?l?d?d?u
?d?l?d?l?l?d?s?s
?d?l?l?l?l?l?l?d
?d?l?l?l?l?l?l?l
?d?l?l?l?l?l?l?l?l
?d?l?l?l?l?l?l?l?l?l
?d?l?l?l?l?l?l?l?l?s
?d?l?l?l?l?l?l?l?s
?d?l?l?l?l?u?u?s?s?u?u?s?d?d
?d?l?l?l?s?l?l?l?l
?d?l?l?l?s?l?l?l?l?l?l?l
?d?l?u?d?u?u?l?s
?d?s?l?u?l?d?d?d
?d?s?l?u?l?d?d?l
?d?s?u?l?l?l?l?l
?d?u?l?l?l?l?d?d
?d?u?l?l?l?l?l?d
?d?u?l?l?l?l?l?d?d
?d?u?l?l?l?l?l?l
?d?u?l?l?l?l?l?l?d
?d?u?l?l?l?l?l?l?l
?d?u?l?l?l?l?l?l?l?d
?d?u?l?l?l?l?l?l?l?l
?d?u?l?l?l?l?l?l?l?l?l
?d?u?l?l?l?l?l?l?l?s
?d?u?l?l?l?l?l?l?s
?d?u?l?l?l?l?l?s
?d?u?l?l?s?l?l?l?l
?d?u?l?l?s?l?l?l?l?s
?d?u?l?u?u?u?u?l
?l?d?d?l?l?l?l?l?s
?l?d?d?l?l?s?l?l?d
?l?d?l?l?s?d?l?l
?l?d?l?l?u?l?d?u
?l?d?u?s?u?l?l?l
?l?d?u?s?u?l?l?u
?l?l?d?d?d?d?d?d
?l?l?d?d?d?d?d?d?d?d
?l?l?d?d?d?d?d?d?s
?l?l?d?l?l?l?s?l
?l?l?d?l?u?s?d?d?d?d
?l?l?d?u?u?u?d?d?d?d
?l?l?l?d?d?d?d?d
?l?l?l?d?d?d?d?d?d
?l?l?l?d?d?d?d?d?u?u
?l?l?l?d?d?d?d?s
?l?l?l?d?d?d?d?s?s
?l?l?l?d?d?d?s?s?s
?l?l?l?d?d?l?l?l
?l?l?l?d?d?l?l?l?s
?l?l?l?d?d?s?l?l?l
?l?l?l?d?d?s?u?u?u
?l?l?l?d?l?l?l?l
?l?l?l?d?l?l?l?l?l?s
?l?l?l?d?l?l?l?l?s
?l?l?l?d?l?l?l?s
?l?l?l?d?l?u?l?l
?l?l?l?d?s?d?d?d?d
?l?l?l?l?d?d?d?d
?l?l?l?l?d?d?d?d?d
?l?l?l?l?d?d?d?d?d?d
?l?l?l?l?d?d?d?d?l?s
?l?l?l?l?d?d?d?d?s
?l?l?l?l?d?d?d?s
?l?l?l?l?d?d?s?d?d
?l?l?l?l?d?l?l?l
?l?l?l?l?d?l?l?l?l
?l?l?l?l?d?s?d?d?d?d
?l?l?l?l?d?s?l?l?l?l
?l?l?l?l?l?d?d?d
?l?l?l?l?l?d?d?d?d
?l?l?l?l?l?d?d?d?d?d
?l?l?l?l?l?d?d?d?d?d?d
?l?l?l?l?l?d?d?d?d?d?d?s
?l?l?l?l?l?d?d?d?d?s
?l?l?l?l?l?d?d?d?s
?l?l?l?l?l?d?d?s
?l?l?l?l?l?d?d?s?l
?l?l?l?l?l?d?l?l
?l?l?l?l?l?d?l?l?l?l
?l?l?l?l?l?d?l?l?l?l?s
?l?l?l?l?l?d?s?d
?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?d?d?d
?l?l?l?l?l?l?d?d?d?d
?l?l?l?l?l?l?d?d?d?d?d
?l?l?l?l?l?l?d?d?d?d?d?d
?l?l?l?l?l?l?d?d?d?d?s
?l?l?l?l?l?l?d?d?d?s
?l?l?l?l?l?l?d?d?l?l?l?s?s
?l?l?l?l?l?l?d?d?s
?l?l?l?l?l?l?d?d?u?s
?l?l?l?l?l?l?d?l
?l?l?l?l?l?l?d?s
?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?d?d?d
?l?l?l?l?l?l?l?d?d?d?d
?l?l?l?l?l?l?l?d?d?d?d?d
?l?l?l?l?l?l?l?d?d?d?d?s
?l?l?l?l?l?l?l?d?d?d?s
?l?l?l?l?l?l?l?d?d?s
?l?l?l?l?l?l?l?d?d?s?s
?l?l?l?l?l?l?l?d?s
?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?l?d?d?d
?l?l?l?l?l?l?l?l?d?d?d?d
?l?l?l?l?l?l?l?l?d?d?d?s
?l?l?l?l?l?l?l?l?d?d?s
?l?l?l?l?l?l?l?l?d?s
?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?l?l?d?d?d
?l?l?l?l?l?l?l?l?l?d?d?d?d
?l?l?l?l?l?l?l?l?l?d?d?s
?l?l?l?l?l?l?l?l?l?d?s
?l?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?l?l?l?l?d?d
?l?l?l?l?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?l?l?l?l?d
?l?l?l?l?l?l?l?l?l?l?l?l?l?l
?l?l?l?l?l?l?l?l?l?l?l?l?l?l?s
?l?l?l?l?l?l?l?l?l?l?s?d
?l?l?l?l?l?l?l?l?l?s?d
?l?l?l?l?l?l?l?l?l?s?d?d?d
?l?l?l?l?l?l?l?l?s?d
?l?l?l?l?l?l?l?l?s?d?d
?l?l?l?l?l?l?l?l?s?d?d?d
?l?l?l?l?l?l?l?l?s?d?d?d?d
?l?l?l?l?l?l?l?s
?l?l?l?l?l?l?l?s?d
?l?l?l?l?l?l?l?s?d?d
?l?l?l?l?l?l?l?s?d?d?d
?l?l?l?l?l?l?l?s?d?d?d?d
?l?l?l?l?l?l?s?d
?l?l?l?l?l?l?s?d?d
?l?l?l?l?l?l?s?d?d?d
?l?l?l?l?l?l?s?d?d?d?d
?l?l?l?l?l?s?d?d
?l?l?l?l?l?s?d?d?d
?l?l?l?l?l?s?d?d?d?d
?l?l?l?l?l?s?s?d
?l?l?l?l?l?u?d?d
?l?l?l?l?l?u?d?d?d?d
?l?l?l?l?s?d?d?d
?l?l?l?l?s?d?d?d?d
?l?l?l?l?s?d?d?d?d?d
?l?l?l?l?s?d?s?s?s?s
?l?l?l?l?s?l?l?l?d?d
?l?l?l?l?s?l?l?l?l
?l?l?l?l?u?l?l?l?d
?l?l?l?l?u?l?l?l?d?d
?l?l?l?s?d?d?d?d
?l?l?l?s?d?d?d?d?d
?l?l?l?s?l?l?l?d
?l?l?l?s?l?l?l?d?d
?l?l?l?s?l?l?l?l?l
?l?l?l?s?s?d?d?d?d
?l?l?l?u?d?d?d?d
?l?l?l?u?l?l?d?d
?l?l?l?u?u?u?d?d?d
?l?l?l?u?u?u?d?d?s
?l?l?s?d?d?d?d?d
?l?l?s?d?d?d?d?d?d
?l?l?s?d?d?l?d?d?l
?l?l?s?d?s?l?u?s
?l?l?s?d?s?l?u?u
?l?l?s?l?d?d?l?d?d
?l?l?s?l?l?d?d?d?d
?l?l?s?l?l?l?d?d
?l?l?s?l?l?l?d?d?d
?l?l?s?l?l?l?d?d?d?d
?l?l?s?l?l?l?l?d
?l?l?s?l?l?l?l?d?d
?l?l?s?l?l?l?l?l?d
?l?l?s?l?l?l?l?l?d?d
?l?l?s?l?l?l?l?l?l?d?d
?l?l?s?u?l?l?d?d
?l?l?u?d?s?l?u?u
?l?l?u?l?d?d?d?d
?l?l?u?l?d?l?d?u
?l?l?u?l?l?l?l?l?l?l?d
?l?l?u?u?d?d?d?d
?l?s?l?l?d?l?d?d
?l?s?l?l?l?l?d?d
?l?s?l?l?l?l?l?l?d?d
?l?s?u?u?d?d?l?d?s?u?l?s
?l?u?l?l?l?d?l?l
?l?u?s?l?s?s?u?d
?l?u?u?d?d?d?s?s
?l?u?u?u?u?u?d?d
?s?d?d?d?l?l?l?l?l
?s?d?d?u?l?l?l?l?l?l?d?d?d
?s?d?l?d?l?d?l?d?l
?s?d?l?l?l?l?l?l
?s?d?l?l?l?l?l?l?l
?s?d?l?s?l?l?d?u
?s?d?u?l?l?l?l?l?d?d
?s?l?l?l?d?d?d?d
?s?l?l?l?d?d?l?d?d
?s?l?l?l?l?d?d?d?d
?s?l?l?l?l?l?d?d
?s?l?l?l?l?l?d?d?d
?s?l?l?l?l?l?l?d
?s?l?l?l?l?l?l?d?d
?s?l?l?l?l?l?l?l?d
?s?l?l?l?l?l?l?l?d?d
?s?l?l?l?l?l?l?l?l?d
?s?l?l?l?l?l?l?l?l?d?l?d
?s?l?l?l?l?l?l?l?l?l?l?l?d
?s?s?d?d?l?l?l?l?l?l?l
?s?s?d?d?l?l?l?l?l?l?l?l?l?l
?s?s?l?l?l?l?d?l
?s?s?l?u?l?s?d?d
?s?s?l?u?l?s?d?l
?s?s?u?l?l?l?d?d
?s?s?u?u?d?d?l?l
?s?u?d?l?d?s?s?d
?s?u?d?l?d?s?s?s
?s?u?l?d?d?d?d?s
?s?u?l?l?d?d?d?d
?s?u?l?l?l?d?d?d?d
?s?u?l?l?l?d?d?d?d?s
?s?u?l?l?l?l?d?d
?s?u?l?l?l?l?d?d?d
?s?u?l?l?l?l?d?d?d?d
?s?u?l?l?l?l?d?l?d
?s?u?l?l?l?l?l?d
?s?u?l?l?l?l?l?d?d
?s?u?l?l?l?l?l?d?d?d?d
?s?u?l?l?l?l?l?d?d?d?d?s
?s?u?l?l?l?l?l?l?d
?s?u?l?l?l?l?l?l?d?d
?s?u?l?l?l?l?l?l?l?d
?s?u?u?u?l?l?d?d?d?s
?u?d?d?d?l?s?s?d?d
?u?d?d?l?d?d?l?d
?u?d?d?l?l?l?d?d
?u?d?d?l?l?l?l?l
?u?d?d?l?l?l?l?l?l?l
?u?d?d?l?l?u?l?d
?u?d?d?u?l?l?u?d
?u?d?d?u?u?u?s?s
?u?d?l?d?l?l?d?l?d?l
?u?d?l?l?d?l?d?s
?u?d?l?l?d?l?l?l
?u?d?l?l?d?l?l?s
?u?d?l?l?d?l?s?l?d
?u?d?l?l?l?d?l?l?s
?u?d?l?l?l?l?d?d
?u?d?l?l?l?l?d?d?l?l
?u?d?l?l?l?l?d?d?s
?u?d?l?l?l?l?l?d
?u?d?l?l?l?l?l?l
?u?d?l?l?l?l?l?l?d
?u?d?l?l?l?l?l?l?l?d
?u?d?l?l?l?l?l?l?l?l
?u?d?l?l?l?l?l?l?s
?u?d?l?l?l?l?l?s
?u?d?l?l?l?l?l?s?u?l?l?l
?u?d?l?l?l?l?s?d
?u?d?l?l?l?l?s?d?d
?u?d?l?l?l?l?s?l?l
?u?d?l?s?l?l?l?d?d
?u?d?u?d?u?u?s?s
?u?d?u?l?d?s?l?d
?u?d?u?l?d?s?l?l
?u?d?u?l?d?s?l?u
?u?l?d?d?d?d?d?d
?u?l?d?d?d?d?d?d?d
?u?l?d?d?d?d?d?d?d?d
?u?l?d?d?d?d?d?d?d?d?s
?u?l?d?d?d?d?d?d?s
?u?l?d?d?d?d?l?l
?u?l?d?d?d?d?s?s
?u?l?d?d?l?d?l?l?l
?u?l?d?d?l?l?d?d
?u?l?d?d?l?l?l?l
?u?l?d?d?l?l?s?s
?u?l?d?l?d?d?d?d
?u?l?d?l?l?d?d?d
?u?l?d?l?l?d?l?l
?u?l?d?l?l?l?l?d
?u?l?d?l?l?l?l?l
?u?l?d?l?l?l?l?s
?u?l?d?u?l?l?l?d?d
?u?l?l?d?d?d?d?d
?u?l?l?d?d?d?d?d?d
?u?l?l?d?d?d?d?d?d?d
?u?l?l?d?d?d?d?d?d?d?d
?u?l?l?d?d?d?d?d?d?s
?u?l?l?d?d?d?d?d?s
?u?l?l?d?d?d?d?l
?u?l?l?d?d?d?d?l?l?s
?u?l?l?d?d?d?d?s
?u?l?l?d?d?d?d?s?s
?u?l?l?d?d?d?d?u?l?l
?u?l?l?d?d?d?s?s
?u?l?l?d?d?l?l?l
?u?l?l?d?d?l?l?l?s
?u?l?l?d?d?u?u?l?s
?u?l?l?d?l?l?l?d
?u?l?l?d?l?l?l?l
?u?l?l?d?l?l?l?l?d?d
?u?l?l?d?l?l?l?l?l
?u?l?l?d?l?l?l?s
?u?l?l?d?s?l?l?l
?u?l?l?d?u?l?l?l?l
?u?l?l?l?d?d?d?d
?u?l?l?l?d?d?d?d?d
?u?l?l?l?d?d?d?d?d?d
?u?l?l?l?d?d?d?d?s
?u?l?l?l?d?d?d?d?s?s
?u?l?l?l?d?d?d?s
?u?l?l?l?d?d?l?l
?u?l?l?l?d?d?l?l?l
?u?l?l?l?d?d?l?l?l?l
?u?l?l?l?d?d?l?l?l?l?l
?u?l?l?l?d?d?s?s
?u?l?l?l?d?l?l?d
?u?l?l?l?d?l?l?d?d
?u?l?l?l?d?l?l?d?d?d?d
?u?l?l?l?d?l?l?l
?u?l?l?l?d?l?l?l?d
?u?l?l?l?d?l?l?l?l
?u?l?l?l?d?l?l?s
?u?l?l?l?d?l?s?l?d?l?l?d?l
?u?l?l?l?d?u?l?l
?u?l?l?l?d?u?l?l?l
?u?l?l?l?l?d?d?d
?u?l?l?l?l?d?d?d?d
?u?l?l?l?l?d?d?d?d?d
?u?l?l?l?l?d?d?d?d?d?d
?u?l?l?l?l?d?d?d?d?s
?u?l?l?l?l?d?d?d?s
?u?l?l?l?l?d?d?d?s?s
?u?l?l?l?l?d?d?l
?u?l?l?l?l?d?d?l?d?l
?u?l?l?l?l?d?d?l?l
?u?l?l?l?l?d?d?s
?u?l?l?l?l?d?d?s?s
?u?l?l?l?l?d?l?d
?u?l?l?l?l?d?l?l
?u?l?l?l?l?d?l?l?d
?u?l?l?l?l?d?l?l?d?d?d
?u?l?l?l?l?d?l?l?l
?u?l?l?l?l?d?l?l?l?l
?u?l?l?l?l?d?l?l?s
?u?l?l?l?l?d?l?s
?u?l?l?l?l?d?s?s
?u?l?l?l?l?l?d?d
?u?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?d?d?d?d?d
?u?l?l?l?l?l?d?d?d?d?d?d
?u?l?l?l?l?l?d?d?d?d?s
?u?l?l?l?l?l?d?d?d?d?s?s
?u?l?l?l?l?l?d?d?d?s
?u?l?l?l?l?l?d?d?l
?u?l?l?l?l?l?d?d?s
?u?l?l?l?l?l?d?d?s?s
?u?l?l?l?l?l?d?l
?u?l?l?l?l?l?d?l?l
?u?l?l?l?l?l?d?l?s
?u?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?l?d?d?d?d?d
?u?l?l?l?l?l?l?d?d?d?d?d?d
?u?l?l?l?l?l?l?d?d?d?d?s
?u?l?l?l?l?l?l?d?d?d?s
?u?l?l?l?l?l?l?d?d?l
?u?l?l?l?l?l?l?d?d?s
?u?l?l?l?l?l?l?d?d?s?s
?u?l?l?l?l?l?l?d?l?l
?u?l?l?l?l?l?l?d?l?l?s?l
?u?l?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?d?s?s
?u?l?l?l?l?l?l?l
?u?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?l?l?d?d?d?d?d
?u?l?l?l?l?l?l?l?d?d?d?d?s
?u?l?l?l?l?l?l?l?d?d?d?s
?u?l?l?l?l?l?l?l?d?d?s
?u?l?l?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?l?l
?u?l?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?l?l?l?d?d?d?d?s
?u?l?l?l?l?l?l?l?l?d?d?s
?u?l?l?l?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?l?l?l
?u?l?l?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?l?l?l?l?d?d?s
?u?l?l?l?l?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?l?l?l?l?d?d?d
?u?l?l?l?l?l?l?l?l?l?l?d?d?d?d
?u?l?l?l?l?l?l?l?l?l?l?d?s
?u?l?l?l?l?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?l?l?l?l?d?d
?u?l?l?l?l?l?l?l?l?l?l?l?l?d
?u?l?l?l?l?l?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?l?l?l?s?d
?u?l?l?l?l?l?l?l?l?l?s?d?d
?u?l?l?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?l?l?s?d
?u?l?l?l?l?l?l?l?l?s?d?d
?u?l?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?l?s?d
?u?l?l?l?l?l?l?l?s?d?d
?u?l?l?l?l?l?l?l?s?d?d?d
?u?l?l?l?l?l?l?l?s?d?d?d?d
?u?l?l?l?l?l?l?l?s?s
?u?l?l?l?l?l?l?s
?u?l?l?l?l?l?l?s?d
?u?l?l?l?l?l?l?s?d?d
?u?l?l?l?l?l?l?s?d?d?d
?u?l?l?l?l?l?l?s?d?d?d?d
?u?l?l?l?l?l?l?s?s
?u?l?l?l?l?l?l?u?s
?u?l?l?l?l?l?s?d
?u?l?l?l?l?l?s?d?d
?u?l?l?l?l?l?s?d?d?d
?u?l?l?l?l?l?s?d?d?d?d
?u?l?l?l?l?l?s?s
?u?l?l?l?l?l?s?s?d?d
?u?l?l?l?l?l?u?d?d
?u?l?l?l?l?l?u?l?l?d?d
?u?l?l?l?l?s?d?d
?u?l?l?l?l?s?d?d?d
?u?l?l?l?l?s?d?d?d?d
?u?l?l?l?l?s?l?l
?u?l?l?l?l?u?d?d
?u?l?l?l?l?u?d?d?d
?u?l?l?l?l?u?d?d?l?l
?u?l?l?l?l?u?l?l?d
?u?l?l?l?l?u?l?l?l?d
?u?l?l?l?l?u?l?l?l?d?d
?u?l?l?l?l?u?l?l?l?l?d?d
?u?l?l?l?l?u?l?l?l?l?l?d?d
?u?l?l?l?s?d?d?d
?u?l?l?l?s?d?d?d?d
?u?l?l?l?s?d?d?d?d?d?d
?u?l?l?l?s?d?d?l?l?l
?u?l?l?l?s?d?l?l
?u?l?l?l?s?l?l?l?d
?u?l?l?l?s?l?l?l?l
?u?l?l?l?s?s?d?d
?u?l?l?l?s?s?s?s
?u?l?l?l?u?l?d?d
?u?l?l?l?u?l?l?d
?u?l?l?l?u?l?l?d?d
?u?l?l?l?u?l?l?l?d
?u?l?l?l?u?l?l?l?d?d
?u?l?l?l?u?l?l?l?d?d?d?d
?u?l?l?l?u?l?l?l?d?s
?u?l?l?l?u?l?l?l?l?d
?u?l?l?l?u?l?l?l?l?d?d
?u?l?l?s?d?d?d?d
?u?l?l?s?d?d?d?d?d
?u?l?l?s?d?d?d?d?d?d
?u?l?l?s?l?l?l?d
?u?l?l?s?l?l?l?d?d
?u?l?l?u?l?l?d?d
?u?l?l?u?l?l?d?d?d?d
?u?l?l?u?l?l?l?d
?u?l?l?u?l?l?l?d?d
?u?l?l?u?l?l?l?d?d?d?d
?u?l?l?u?l?l?l?l?d?d
?u?l?l?u?l?l?u?d?d?d?d?d?d
?u?l?s?d?d?d?d?d?d
?u?l?s?d?s?u?u?s
?u?l?s?d?s?u?u?u
?u?l?s?l?l?l?d?d
?u?l?s?l?l?l?l?d
?u?l?s?l?l?l?l?l
?u?l?s?s?l?l?l?l
?u?l?s?s?l?l?l?l?d
?u?l?s?s?l?l?l?l?d?d
?u?l?s?u?l?s?d?d?d?d?d?d
?u?l?u?l?d?d?d?d
?u?l?u?l?d?s?l?d
?u?l?u?l?d?s?l?l
?u?l?u?l?d?s?l?u
?u?l?u?l?l?l?d?d
?u?l?u?l?s?d?d?d?d
?u?l?u?u?d?d?s?s
?u?s?d?l?l?l?l?d?d
?u?s?d?u?d?d?s?l
?u?s?l?l?d?d?d?d
?u?s?l?l?d?l?l?l
?u?s?l?l?l?d?d?d
?u?s?l?l?l?d?d?d?d
?u?s?l?l?l?d?l?l
?u?s?l?l?l?l?d?d
?u?s?l?l?l?l?d?d?d
?u?s?l?l?l?l?d?d?d?d
?u?s?l?l?l?l?l?d?d
?u?s?l?l?l?l?l?l
?u?s?l?l?l?l?l?l?d
?u?s?l?l?l?l?l?l?d?d
?u?s?l?l?l?l?l?l?d?d?d?d
?u?s?l?l?l?l?l?l?l?l
?u?s?l?l?s?l?d?l
?u?s?u?l?l?d?l?s?u?u
?u?u?d?d?d?d?l?l
?u?u?d?d?d?d?s?s
?u?u?d?l?d?u?s?d
?u?u?d?l?d?u?s?s
?u?u?d?l?l?l?d?d?d?d
?u?u?d?l?l?l?d?d?d?u
?u?u?d?s?l?l?l?l
?u?u?l?d?d?d?s?s
?u?u?l?l?d?d?d?d
?u?u?l?l?d?d?d?d?s
?u?u?l?l?d?d?s?s
?u?u?l?l?l?d?d?d?d
?u?u?l?l?l?d?l?s?l?d?d
?u?u?l?l?l?l?d?d
?u?u?l?l?l?l?d?d?d?d
?u?u?l?l?l?l?d?d?s
?u?u?l?l?l?l?l?d
?u?u?l?l?l?l?l?d?d
?u?u?l?l?l?l?l?l?d?d
?u?u?l?l?l?l?s?d?d
?u?u?l?l?l?s?d?d
?u?u?s?d?d?l?d?d?l
?u?u?s?l?l?l?d?d
?u?u?s?u?u?u?d?d
?u?u?u?d?d?d?d?d?d?s
?u?u?u?d?d?d?d?s
?u?u?u?d?d?d?s?s
?u?u?u?d?d?l?l?l
?u?u?u?d?d?s?l?l?l
?u?u?u?d?d?u?s?s
?u?u?u?d?l?l?l?d
?u?u?u?d?l?l?l?d?d?d?d
?u?u?u?l?d?d?d?d
?u?u?u?l?d?s?l?d
?u?u?u?l?d?s?l?l
?u?u?u?l?d?s?l?u
?u?u?u?l?l?d?d?d
?u?u?u?l?l?d?d?d?d
?u?u?u?l?l?l?d?d
?u?u?u?l?l?l?d?d?d
?u?u?u?l?l?l?d?d?d?d
?u?u?u?l?l?l?d?d?s
?u?u?u?l?l?l?d?s
?u?u?u?l?l?l?l?d
?u?u?u?l?l?l?l?d?d
?u?u?u?l?l?l?l?d?d?d?d
?u?u?u?l?l?l?l?l?d
?u?u?u?l?l?l?l?l?d?d
?u?u?u?s?d?d?d?d
?u?u?u?s?d?l?l?l
?u?u?u?s?l?l?l?d
?u?u?u?s?l?l?l?d?d?d?d?d
?u?u?u?s?l?l?s?l
?u?u?u?u?d?d?d?d
?u?u?u?u?d?d?d?d?s
?u?u?u?u?d?d?s?s
?u?u?u?u?l?l?d?d
?u?u?u?u?l?l?l?d?d?d?d
?u?u?u?u?l?l?l?l?d
?u?u?u?u?l?l?l?l?d?d
?u?u?u?u?l?l?l?l?l?s
?u?u?u?u?s?d?s?d
?u?u?u?u?u?d?d?d?d
?u?u?u?u?u?u?d?d
?u?u?u?u?u?u?d?l
?u?u?u?u?u?u?d?s
?u?u?u?u?u?u?u?d
?u?u?u?u?u?u?u?d?d
?u?u?u?u?u?u?u?u
?u?u?u?u?u?u?u?u?d
?u?u?u?u?u?u?u?u?u'''.split('\n')
@staticmethod
def has_consequtive_upper_letters(subject):
# type: (str) -> bool
return __class__.consequtive_letters_upper_pattern.search(subject) is not None
@staticmethod
def has_consequtive_lower_letters(subject):
# type: (str) -> bool
return __class__.consequtive_letters_lower_pattern.search(subject) is not None
@staticmethod
def has_consequtive_numbers(subject):
# type: (str) -> bool
return __class__.consequtive_numbers_pattern.search(subject) is not None
@staticmethod
def has_consequtive_symbols(subject):
# type: (str) -> bool
return __class__.consequtive_symbols_pattern.search(subject) is not None
@staticmethod
def has_repeating_chars(subject):
# type: (str) -> bool
return __class__.repeating_chars_pattern.search(subject) is not None
@staticmethod
def has_sequentional_letters(subject):
# type: (str) -> bool
return __class__.has_sequentional_chars(subject, charset_letters_upper)
@staticmethod
def has_sequentional_numbers(subject):
# type: (str) -> bool
return __class__.has_sequentional_chars(subject, charset_numbers)
@staticmethod
def has_sequentional_symbols(subject):
# type: (str) -> bool
return __class__.has_sequentional_chars(subject, charset_symbols)
@staticmethod
def has_sequentional_key_strokes(subject):
# type: (str) -> bool
for row in __class__.keyboard_layouts:
if __class__.has_sequentional_chars(subject, row):
return True
return False
@staticmethod
def has_sequentional_chars(haystack, needle):
# type: (str, str) -> bool
haystack = haystack.upper()
needle = needle.upper()
for s in range(len(needle) - 2):
fwd = needle[s: s + 3]
rev = ''.join(reversed(fwd))
if fwd in haystack or rev in haystack:
return True
return False
@staticmethod
def valid_char(prev, cur):
# type: (str, str) -> bool
subject = ''.join([prev, cur])
if __class__.has_consequtive_lower_letters(subject) \
or __class__.has_consequtive_upper_letters(subject) \
or __class__.has_consequtive_numbers(subject) \
or __class__.has_consequtive_symbols(subject) \
or __class__.has_sequentional_letters(subject) \
or __class__.has_sequentional_numbers(subject) \
or __class__.has_sequentional_symbols(subject) \
or __class__.has_sequentional_key_strokes(subject) \
or __class__.has_repeating_chars(subject):
return False
return True
@staticmethod
def topology_id(char):
# type: (str) -> str
if char in charset_letters_upper:
return '?u'
elif char in charset_letters_lower:
return '?l'
elif char in charset_numbers:
return '?d'
elif char in charset_symbols:
return '?s'
@staticmethod
def topology(secret):
# type: (str) -> str
return ''.join(__class__.topology_id(c) for c in secret)
@staticmethod
def blacklisted_by_topology(secret):
# type: (str) -> bool
return __class__.topology(secret) in __class__.topology_blacklist
class Generator(object):
def __init__(self) -> None:
from random import SystemRandom
import sys
super(__class__).__init__()
self.random = SystemRandom()
self.msg_file = sys.stderr
self.pool = CharacterPool()
@staticmethod
def obtain_char(random, chars, result):
while True:
char = random.choice(chars)
if Validator.valid_char(result[-1:], char) and char not in result:
return char
def create_secret(self, length):
# type: (int) -> str
chars = self.pool.chars
print('pool size: %i' % len(chars), file=self.msg_file)
print(' length: %i' % length, file=self.msg_file)
print(' entropy: %f' % __class__.entropy(chars, length), file=self.msg_file)
while True:
result = self.obtain_secret(length, chars)
if not Validator.blacklisted_by_topology(result):
return result
def obtain_secret(self, length, chars):
result = ''
for _ in range(length):
char = __class__.obtain_char(self.random, chars, result)
result += char
return result
@staticmethod
def entropy(chars, length):
# type: (str, int) -> float
import math
return math.log2(math.pow(len(chars), length))
class Hasher(object):
@staticmethod
def sha512_crypt(message):
# type: (str) -> str
from passlib.hash import sha512_crypt # https://pypi.org/project/passlib/
return sha512_crypt.using(rounds=5000).hash(message)
def main(args):
import sys
if args['generate']:
length = int(args['LENGTH']) if args['LENGTH'] else 16
secret = Generator().create_secret(length)
print(secret, end='')
elif args['sha512_crypt']:
file = open(args['FILE'], 'r') if args['FILE'] and args['FILE'] != '-' else sys.stdin
message = file.read()
digest = Hasher.sha512_crypt(message)
print(digest, end='')
if __name__ == '__main__':
from docopt import docopt # https://pypi.org/project/docopt/
main(docopt(__doc__))
Raw
requirements.txt
docopt>=0.6.2
passlib>=1.7.1
Raw
setup.py
from distutils.core import setup
setup(name='pwtool', version='1.0.0', py_modules=['pwtool'])
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment