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Added support for reverse and rotation bruteforce rules to rulegen

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iphelix 2013-07-26 13:43:15 -07:00
parent 4ed47777b5
commit 893f96c719
4 changed files with 330 additions and 282 deletions
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2
LICENSE
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@ -11,7 +11,7 @@ are permitted provided that the following conditions are met:
list of conditions and the following disclaimer in the documentation and/or
other materials provided with the distribution.
Neither the name of the {organization} nor the names of its
Neither the name of the 'The Sprawl' nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

22
policygen.py
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@ -6,27 +6,9 @@
# VERSION 0.0.2
#
# Copyright (C) 2013 Peter Kacherginsky
# All rights reserved.
# All rights reserved.#
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Please see the attached LICENSE file for additiona licensing information.
import sys, string, random
import datetime

565
rulegen.py
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@ -5,33 +5,12 @@
#
# This tool is part of PACK (Password Analysis and Cracking Kit)
#
# VERSION 0.0.2
# VERSION 0.0.3
#
# Copyright (C) 2013 Peter Kacherginsky
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# CHANGELOG:
# [*] Fixed greedy substitution issue (thanks smarteam)
# Please see the attached LICENSE file for additiona licensing information.
import sys
import re
@ -41,7 +20,11 @@ import enchant
from optparse import OptionParser, OptionGroup
VERSION = "0.0.1"
from collections import Counter
from multiprocessing import Queue, Process
VERSION = "0.0.3"
# Testing rules with hashcat --stdout
HASHCAT_PATH = "hashcat/"
@ -52,6 +35,12 @@ class RuleGen:
# Initialize Rule Generator class
def __init__(self,language="en",providers="aspell,myspell",basename='analysis'):
#######################################################################
# Multiprocessing
self.password_queue = multiprocessing.Queue()
self.rule_queue = multiprocessing.Queue()
self.word_queue = multiprocessing.Queue()
self.enchant_broker = enchant.Broker()
self.enchant_broker.set_ordering("*",providers)
@ -73,19 +62,16 @@ class RuleGen:
self.max_rules = 10
self.more_rules = False
self.simple_rules = False
self.brute_rules = False
# Debugging options
self.verbose = False
self.debug = False
self.word = None
self.word = None # Custom word to use.
self.quiet = False
########################################################################
# Word and Rule Statistics
self.word_stats = dict()
self.rule_stats = dict()
self.password_stats = dict()
self.numeric_stats_total = 0
self.special_stats_total = 0
self.foreign_stats_total = 0
@ -176,6 +162,14 @@ class RuleGen:
self.leet["$"] = "s"
self.leet["+"] = "t"
########################################################################
# Preanalysis rules to bruteforce for each word
self.preanalysis_rules = []
self.preanalysis_rules.append(([],self.hashcat_rule[':'])) # Blank rule
self.preanalysis_rules.append((['r'],self.hashcat_rule['r'])) # Reverse rule
#self.preanalysis_rules.append((['{'],self.hashcat_rule['}'])) # Rotate left
#self.preanalysis_rules.append((['}'],self.hashcat_rule['{'])) # Rotate right
############################################################################
# Calculate Levenshtein edit path matrix
def levenshtein(self,word,password):
@ -205,27 +199,34 @@ class RuleGen:
return matrix
############################################################################
# Print word X password matrix
def levenshtein_print(self,matrix,word,password):
""" Print word X password matrix """
print " %s" % " ".join(list(word))
for i,row in enumerate(matrix):
if i == 0: print " ",
else: print password[i-1],
print " ".join("%2d" % col for col in row)
############################################################################
# Reverse Levenshtein Path Algorithm by Peter Kacherginsky
# Generates a list of edit operations necessary to transform a source word
# into a password. Edit operations are recorded in the form:
# (operation, password_offset, word_offset)
# Where an operation can be either insertion, deletion or replacement.
def levenshtein_reverse_path(self,matrix,word,password):
def generate_levenshtein_rules(self, word, password):
""" Generates levenshtein rules. Returns a list of lists of levenshtein rules. """
# 1) Generate Levenshtein matrix
matrix = self.levenshtein(word, password)
# 2) Trace reverse paths through the matrix.
paths = self.levenshtein_reverse_recursive(matrix,len(matrix)-1,len(matrix[0])-1,0)
# 3) Return a collection of reverse paths.
return [path for path in paths if len(path) <= matrix[-1][-1]]
# Calculate reverse Levenshtein paths (recursive, depth first, short-circuited)
def levenshtein_reverse_recursive(self,matrix,i,j,path_len):
""" Calculate reverse Levenshtein paths.
Recursive, Depth First, Short-circuited algorithm by Peter Kacherginsky
Generates a list of edit operations necessary to transform a source word
into a password. Edit operations are recorded in the form:
(operation, password_offset, word_offset)
Where an operation can be either insertion, deletion or replacement.
"""
if i == 0 and j == 0 or path_len > matrix[-1][-1]:
return [[]]
@ -260,91 +261,129 @@ class RuleGen:
return paths
############################################################################
def load_custom_wordlist(self,wordlist_file):
self.enchant = enchant.request_pwl_dict(wordlist_file)
############################################################################
# Generate source words
def generate_words_collection(self,password):
def generate_words(self,password):
""" Generate source word candidates."""
if self.debug: print "[*] Generating source words for %s" % password
words = []
if not self.simple_words: suggestions = self.generate_advanced_words(password)
else: suggestions = self.generate_simple_words(password)
words = list()
words_collection = list()
best_found_distance = sys.maxint
# Let's collect best edit distance as soon as possible to prevent
# less efficient pre_rules like reversal and rotation from slowing
# us down with garbage
best_found_distance = 9999
unique_suggestions = []
for word in suggestions:
word = word.replace(' ','')
word = word.replace('-','')
if not word in unique_suggestions:
unique_suggestions.append(word)
#######################################################################
# Generate words for each preanalysis rule
if not self.brute_rules:
self.preanalysis_rules = self.preanalysis_rules[:1]
# NOTE: Enchant already returned a list sorted by edit distance, so
# we simply need to get the best edit distance of the first word
# and compare the rest with it
for word in unique_suggestions:
for pre_rule, pre_rule_lambda in self.preanalysis_rules:
matrix = self.levenshtein(word,password)
edit_distance = matrix[-1][-1]
pre_password = pre_rule_lambda(password)
# Record best edit distance and skip anything exceeding it
# Generate word suggestions
if self.word: suggestions = [self.word]
elif self.simple_words: suggestions = self.generate_simple_words(pre_password)
else: suggestions = self.generate_advanced_words(pre_password)
# HACK: Perform some additional expansion on multi-word suggestions
# TODO: May be I should split these two and see if I can generate
# rules for each of the suggestions
for suggestion in suggestions[:self.max_words]:
suggestion = suggestion.replace(' ','')
suggestion = suggestion.replace('-','')
if not suggestion in suggestions:
suggestions.append(suggestion)
if len(suggestions) != len(set(suggestions)):
print sorted(suggestions)
print sorted(set(suggestions))
for suggestion in suggestions:
distance = enchant.utils.levenshtein(suggestion,pre_password)
word = dict()
word["suggestion"] = suggestion
word["distance"] = distance
word["password"] = pre_password
word["pre_rule"] = pre_rule
word["best_rule_length"] = 9999
words.append(word)
#######################################################################
# Perform Optimization
for word in sorted(words, key=lambda word: word["distance"], reverse=False):
# Optimize for best distance
if not self.more_words:
if edit_distance < best_found_distance:
best_found_distance = edit_distance
elif edit_distance > best_found_distance:
if self.verbose: print "[-] %s => {best distance exceeded: %d (%d)} => %s" % (word,edit_distance,best_found_distance,password)
break
if word["distance"] < best_found_distance:
best_found_distance = word["distance"]
if edit_distance <= self.max_word_dist:
if self.debug: print "[+] %s => {edit distance: %d (%d)} = > %s" % (word,edit_distance,best_found_distance,password)
words.append((word,matrix,password))
elif word["distance"] > best_found_distance:
if self.verbose:
print "[-] %s => {edit distance suboptimal: %d (%d)} => %s" % \
(word["suggestion"], word["distance"], best_found_distance, word["password"])
break
if not word in self.word_stats: self.word_stats[word] = 1
else: self.word_stats[word] += 1
# Filter words with too big edit distance
if word["distance"] <= self.max_word_dist:
if self.debug:
print "[+] %s => {edit distance: %d (%d)} = > %s" % \
(word["suggestion"], word["distance"],best_found_distance, word["password"])
words_collection.append(word)
else:
if self.verbose: print "[-] %s => {max distance exceeded: %d (%d)} => %s" % (word,edit_distance,self.max_word_dist,password)
if self.verbose:
print "[-] %s => {max distance exceeded: %d (%d)} => %s" % \
(word["suggestion"], word["distance"], self.max_word_dist, word["password"])
return words
if self.max_words:
words_collection = words_collection[:self.max_words]
return words_collection
############################################################################
# Generate simple words
def generate_simple_words(self,password):
if self.word:
return [self.word]
else:
return self.enchant.suggest(password)[:self.max_words]
""" Generate simple words. A simple spellcheck."""
return self.enchant.suggest(password)
############################################################################
# Generate advanced words
def generate_advanced_words(self,password):
if self.word:
return [self.word]
else:
# Remove non-alpha prefix and appendix
insertion_matches = self.password_pattern["insertion"].match(password)
if insertion_matches:
password = insertion_matches.group('password')
""" Generate advanced words.
Perform some additional non-destructive cleaning to help spell-checkers:
1) Remove non-alpha prefixes and appendixes.
2) Perform common pattern matches (e.g. email).
3) Replace non-alpha character substitutions (1337 5p34k)
"""
# Email split
email_matches = self.password_pattern["email"].match(password)
if email_matches:
password = email_matches.group('password')
# Remove non-alpha prefix and/or appendix
insertion_matches = self.password_pattern["insertion"].match(password)
if insertion_matches:
password = insertion_matches.group('password')
# Replace common special character replacements (1337 5p34k)
preanalysis_password = ''
for c in password:
if c in self.leet: preanalysis_password += self.leet[c]
else: preanalysis_password += c
password = preanalysis_password
# Pattern matches
email_matches = self.password_pattern["email"].match(password)
if email_matches:
password = email_matches.group('password')
if self.debug: "[*] Preanalysis Password: %s" % password
# Replace common special character replacements (1337 5p34k)
preanalysis_password = ''
for c in password:
if c in self.leet: preanalysis_password += self.leet[c]
else: preanalysis_password += c
password = preanalysis_password
return self.enchant.suggest(password)[:self.max_words]
if self.debug: "[*] Preanalysis Password: %s" % password
return self.enchant.suggest(password)
############################################################################
# Hashcat specific offset definition 0-9,A-Z
@ -356,56 +395,58 @@ class RuleGen:
if N.isdigit(): return int(N)
else: return ord(N)-65+10
############################################################################
# Generate hashcat rules
def generate_hashcat_rules_collection(self, lev_rules_collection):
def generate_hashcat_rules(self, suggestion, password):
""" Generate hashcat rules. Returns a length sorted list of lists of hashcat rules."""
# 2) Generate Levenshtein Rules
lev_rules = self.generate_levenshtein_rules(suggestion, password)
# 3) Generate Hashcat Rules
hashcat_rules = []
hashcat_rules_collection = []
min_hashcat_rules_length = sys.maxint
for (word,rules,password) in lev_rules_collection:
#######################################################################
# Generate hashcat rule for each levenshtein rule
for lev_rule in lev_rules:
if self.simple_rules:
hashcat_rules = self.generate_simple_hashcat_rules(word,rules,password)
hashcat_rule = self.generate_simple_hashcat_rules(suggestion, lev_rule, password)
else:
hashcat_rules = self.generate_advanced_hashcat_rules(word,rules,password)
hashcat_rule = self.generate_advanced_hashcat_rules(suggestion, lev_rule, password)
if not hashcat_rules == None:
hashcat_rules_length = len(hashcat_rules)
if hashcat_rules_length <= self.max_rule_len:
hashcat_rules_collection.append((word,hashcat_rules,password))
# Determine minimal hashcat rules length
if hashcat_rules_length < min_hashcat_rules_length:
min_hashcat_rules_length = hashcat_rules_length
else:
if self.verbose: print "[!] %s => {max rule length exceeded: %d (%d)} => %s" % (word,hashcat_rules_length,self.max_rule_len,password)
else:
print "[!] Processing FAILED: %s => ;( => %s" % (word,password)
if hashcat_rule == None:
print "[!] Processing FAILED: %s => ;( => %s" % (suggestion,password)
print " Sorry about that, please report this failure to"
print " the developer: iphelix [at] thesprawl.org"
else:
hashcat_rules.append(hashcat_rule)
# Remove suboptimal rules
if not self.more_rules:
min_hashcat_rules_collection = []
for (word,hashcat_rules,password) in hashcat_rules_collection:
best_found_rule_length = 9999
hashcat_rules_length = len(hashcat_rules)
if hashcat_rules_length == min_hashcat_rules_length:
min_hashcat_rules_collection.append((word,hashcat_rules,password))
else:
if self.verbose: print "[!] %s => {rule length suboptimal: %d (%d)} => %s" % (word,hashcat_rules_length,min_hashcat_rules_length,password)
#######################################################################
# Perform Optimization
for hashcat_rule in sorted(hashcat_rules, key=lambda hashcat_rule: len(hashcat_rule)):
hashcat_rules_collection = min_hashcat_rules_collection
rule_length = len(hashcat_rule)
if not self.more_rules:
if rule_length < best_found_rule_length:
best_found_rule_length = rule_length
elif rule_length > best_found_rule_length:
if self.verbose:
print "[-] %s => {best rule length exceeded: %d (%d)} => %s" % \
(suggestion, rule_length, best_found_rule_length, password)
break
if rule_length <= self.max_rule_len:
hashcat_rules_collection.append(hashcat_rule)
return hashcat_rules_collection
############################################################################
# Generate basic hashcat rules using only basic insert,delete,replace rules
def generate_simple_hashcat_rules(self,word,rules,password):
""" Generate basic hashcat rules using only basic insert,delete,replace rules. """
hashcat_rules = []
if self.debug: print "[*] Simple Processing %s => %s" % (word,password)
@ -439,10 +480,8 @@ class RuleGen:
if self.debug: print "[!] Simple Processing FAILED: %s => %s => %s (%s)" % (word," ".join(hashcat_rules),password,word_rules)
return None
############################################################################
# Generate advanced hashcat rules using full range of available rules
def generate_advanced_hashcat_rules(self,word,rules,password):
""" Generate advanced hashcat rules using full range of available rules. """
hashcat_rules = []
if self.debug: print "[*] Advanced Processing %s => %s" % (word,password)
@ -472,7 +511,7 @@ class RuleGen:
# Detecting global replacement such as sXY, l, u, C, c is a non
# trivial problem because different characters may be added or
# removed from the word by other rules. A reliable way to solve
# this problem is to apply all of the rules the the source word
# this problem is to apply all of the rules the source word
# and keep track of its state at any given time. At the same
# time, global replacement rules can be tested by completing
# the rest of the rules using a simplified engine.
@ -665,115 +704,146 @@ class RuleGen:
return None
############################################################################
def print_hashcat_rules(self,hashcat_rules_collection):
def print_hashcat_rules(self, words, password):
for word,rules,password in hashcat_rules_collection:
# sorted(self.masks.keys(), key=lambda mask: self.masks[mask][sorting_mode], reverse=True):
best_found_rule_length = 9999
# Sorted list based on rule length
for word in sorted(words, key=lambda word: len(word["hashcat_rules"][0])):
for hashcat_rule in word["hashcat_rules"]:
rule_length = len(hashcat_rule)
if not self.more_rules:
if rule_length < best_found_rule_length:
best_found_rule_length = rule_length
elif rule_length > best_found_rule_length:
if self.verbose:
print "[-] %s => {best rule length exceeded: %d (%d)} => %s" % \
(word["suggestion"], rule_length, best_found_rule_length, password)
break
if rule_length <= self.max_rule_len:
hashcat_rule_str = " ".join(hashcat_rule + word["pre_rule"] or [':'])
if self.verbose: print "[+] %s => %s => %s" % (word["suggestion"], hashcat_rule_str, password)
if self.hashcat:
self.verify_hashcat_rules(word["suggestion"], hashcat_rule + word["pre_rule"], password)
# TODO: Collect statistics later
# if hashcat_rule_str in self.rule_stats: self.rule_stats[hashcat_rule_str] += 1
# else: self.rule_stats[hashcat_rule_str] = 1
self.output_rules_f.write("%s\n" % hashcat_rule_str)
self.output_words_f.write("%s\n" % word["suggestion"])
############################################################################
def verify_hashcat_rules(self,word, rules, password):
import subprocess
f = open("%s/test.rule" % HASHCAT_PATH,'w')
f.write(" ".join(rules))
f.close()
f = open("%s/test.word" % HASHCAT_PATH,'w')
f.write(word)
f.close()
p = subprocess.Popen(["%s/hashcat-cli64.bin" % HASHCAT_PATH,"-r","%s/test.rule" % HASHCAT_PATH,"--stdout","%s/test.word" % HASHCAT_PATH], stdout=subprocess.PIPE)
out, err = p.communicate()
out = out.strip()
if out == password:
hashcat_rules_str = " ".join(rules or [':'])
if self.verbose: print "[+] %s => %s => %s" % (word, hashcat_rules_str, password)
if not hashcat_rules_str in self.rule_stats: self.rule_stats[hashcat_rules_str] = 1
else: self.rule_stats[hashcat_rules_str] += 1
else:
print "[!] Hashcat Verification FAILED: %s => %s => %s (%s)" % (word," ".join(rules or [':']),password,out)
self.output_rules_f.write("%s\n" % hashcat_rules_str)
self.output_words_f.write("%s\n" % word)
############################################################################
def verify_hashcat_rules(self,hashcat_rules_collection):
for word,rules,password in hashcat_rules_collection:
f = open("%s/test.rule" % HASHCAT_PATH,'w')
f.write(" ".join(rules))
f.close()
f = open("%s/test.word" % HASHCAT_PATH,'w')
f.write(word)
f.close()
p = subprocess.Popen(["%s/hashcat-cli64.bin" % HASHCAT_PATH,"-r","%s/test.rule" % HASHCAT_PATH,"--stdout","%s/test.word" % HASHCAT_PATH], stdout=subprocess.PIPE)
out, err = p.communicate()
out = out.strip()
if out == password:
hashcat_rules_str = " ".join(rules or [':'])
if self.verbose: print "[+] %s => %s => %s" % (word, hashcat_rules_str, password)
if not hashcat_rules_str in self.rule_stats: self.rule_stats[hashcat_rules_str] = 1
else: self.rule_stats[hashcat_rules_str] += 1
self.output_rules_f.write("%s\n" % hashcat_rules_str)
self.output_words_f.write("%s\n" % word)
else:
print "[!] Hashcat Verification FAILED: %s => %s => %s (%s)" % (word," ".join(rules or [':']),password,out)
############################################################################
# Analyze a single password
def analyze_password(self,password):
if self.verbose: print "[*] Analyzing password: %s" % password
if self.verbose: start_time = time.clock()
def check_reversible_password(self, password):
""" Check whether the password is likely to be reversed successfuly. """
# Skip all numeric passwords
if password.isdigit():
if self.verbose: print "[!] %s => {skipping numeric} => %s" % (password,password)
if self.verbose and not self.quiet: print "[!] %s => {skipping numeric} => %s" % (password,password)
self.numeric_stats_total += 1
return False
# Skip passwords with less than 25% of alpha character
# TODO: Make random word detection more reliable based on word entropy.
elif len([c for c in password if c.isalpha()]) < len(password)/4:
print "[!] %s => {skipping alpha less than 25%%} => %s" % (password,password)
if self.verbose and not self.quiet:print "[!] %s => {skipping alpha less than 25%%} => %s" % (password,password)
self.special_stats_total += 1
return False
# Only check english ascii passwords for now, add more languages in the next version
# Only check english ascii passwords for now
# TODO: Add support for more languages.
elif [c for c in password if ord(c) < 32 or ord(c) > 126]:
if self.verbose: print "[!] %s => {skipping non ascii english} => %s" % (password,password)
if self.verbose and not self.quiet: print "[!] %s => {skipping non ascii english} => %s" % (password,password)
self.foreign_stats_total += 1
return False
# Analyze the password
else:
return True
if not password in self.password_stats: self.password_stats[password] = 1
else: self.password_stats[password] += 1
def analyze_password(self,password):
""" Analyze a single password. """
# Short-cut words already in the dictionary
if self.enchant.check(password):
if self.verbose: print "[*] Analyzing password: %s" % password
if self.verbose: start_time = time.clock()
# Only process passwords likely to be dictionary based.
if self.check_reversible_password(password):
# TODO: Collect statistics later
# if password in self.password_stats: self.password_stats[password] += 1
# else: self.password_stats[password] = 1
words = []
# Short-cut words in the dictionary
if self.enchant.check(password) and not self.word:
# Record password as a source word for stats
if not password in self.word_stats: self.word_stats[password] = 1
else: self.word_stats[password] += 1
# TODO: Collect statistics later
# if password in self.word_stats: self.word_stats[password] += 1
# else: self.word_stats[password] = 1
hashcat_rules_collection = [(password,[],password)]
word = dict()
word["password"] = password
word["suggestion"] = password
word["hashcat_rules"] = [[],]
word["pre_rule"] = []
word["best_rule_length"] = 9999
words.append(word)
# Generate rules for words not in the dictionary
else:
# Generate source words list
words_collection = self.generate_words_collection(password)
words = self.generate_words(password)
# Generate levenshtein rules collection for each source word
lev_rules_collection = []
for word,matrix,password in words_collection:
# Generate levenshtein reverse paths for each suggestion
for word in words:
# Generate multiple paths to get from word to password
lev_rules = self.levenshtein_reverse_path(matrix,word,password)
for lev_rule in lev_rules:
lev_rules_collection.append((word,lev_rule,password))
# Generate a collection of hashcat_rules lists
word["hashcat_rules"] = self.generate_hashcat_rules(word["suggestion"],word["password"])
# Generate hashcat rules collection
hashcat_rules_collection = self.generate_hashcat_rules_collection(lev_rules_collection)
# Print complete for each source word for the original password
if self.hashcat:
self.verify_hashcat_rules(hashcat_rules_collection)
else:
self.print_hashcat_rules(hashcat_rules_collection)
self.print_hashcat_rules(words, password)
if self.verbose: print "[*] Finished analysis in %.2f seconds" % (time.clock()-start_time)
############################################################################
# Analyze passwords file
def analyze_passwords_file(self,passwords_file):
print "[*] Analyzing passwords file: %s:" % passwords_file
""" Analyze provided passwords file. """
print "[*] Analyzing passwords file: %s:" % passwords_file
f = open(passwords_file,'r')
password_count = 0
@ -783,53 +853,60 @@ class RuleGen:
password = password.strip()
if len(password) > 0:
if password_count != 0 and password_count % 1000 == 0:
# Provide analysis time feedback to the user
if password_count != 0 and password_count % 10000 == 0:
current_analysis_time = time.clock() - analysis_start
if not self.quiet: print "[*] Processed %d passwords in %.2f seconds at the rate of %.2f p/sec" % (password_count, current_analysis_time, float(password_count)/current_analysis_time )
if not self.quiet: print "[*] Processed %d passwords in %.2f seconds at the rate of %.2f p/sec" % (password_count, current_analysis_time, password_count/current_analysis_time )
password_count += 1
self.analyze_password(password)
except (KeyboardInterrupt, SystemExit):
print "\n[*] Rulegen was interrupted."
except (KeyboardInterrupt, SystemExit):
print "\n[!] Rulegen was interrupted."
f.close()
analysis_time = time.clock() - analysis_start
print "[*] Finished processing %d passwords in %.2f seconds at the rate of %.2f p/sec" % (password_count, analysis_time, float(password_count)/analysis_time )
password_stats_total = sum(self.password_stats.values())
print "[*] Analyzed %d passwords (%0.2f%%)" % (password_stats_total,float(password_stats_total)*100.0/float(password_count))
print "[-] Skipped %d all numeric passwords (%0.2f%%)" % (self.numeric_stats_total, float(self.numeric_stats_total)*100.0/float(password_stats_total))
print "[-] Skipped %d passwords with less than 25%% alpha characters (%0.2f%%)" % (self.special_stats_total, float(self.special_stats_total)*100.0/float(password_stats_total))
print "[-] Skipped %d passwords with non ascii characters (%0.2f%%)" % (self.foreign_stats_total, float(self.foreign_stats_total)*100.0/float(password_stats_total))
print "\n[*] Top 10 word statistics"
top100_f = open("%s-top100.word" % self.basename, 'w')
word_stats_total = sum(self.word_stats.values())
for i,(word,count) in enumerate(sorted(self.word_stats.iteritems(), key=operator.itemgetter(1), reverse=True)[:100]):
if i < 10: print "[+] %s - %d (%0.2f%%)" % (word, count, float(count)*100/float(word_stats_total))
top100_f.write("%s\n" % word)
top100_f.close()
print "[*] Saving Top 100 words in %s-top100.word" % self.basename
print "[*] Generating statistics for [%s] rules and words." % self.basename
print "[-] Skipped %d all numeric passwords (%0.2f%%)" % \
(self.numeric_stats_total, float(self.numeric_stats_total)*100.0/float(password_count))
print "[-] Skipped %d passwords with less than 25%% alpha characters (%0.2f%%)" % \
(self.special_stats_total, float(self.special_stats_total)*100.0/float(password_count))
print "[-] Skipped %d passwords with non ascii characters (%0.2f%%)" % \
(self.foreign_stats_total, float(self.foreign_stats_total)*100.0/float(password_count))
rules_file = open("%s.rule" % self.basename,'r')
rules_sorted_file = open("%s-sorted.rule" % self.basename, 'w')
rules_counter = Counter(rules_file)
rule_counter_total = sum(rules_counter.values())
print "\n[*] Top 10 rule statistics"
top100_f = open("%s-top100.rule" % self.basename, 'w')
rule_stats_total = sum(self.rule_stats.values())
for i,(rule,count) in enumerate(sorted(self.rule_stats.iteritems(), key=operator.itemgetter(1), reverse=True)[:100]):
if i < 10: print "[+] %s - %d (%0.2f%%)" % (rule, count, float(count)*100/float(rule_stats_total))
top100_f.write("%s\n" % rule)
top100_f.close()
print "[*] Saving Top 100 rules in %s-top100.rule" % self.basename
rules_i = 0
for (rule, count) in rules_counter.most_common():
rules_sorted_file.write(rule)
if rules_i < 10: print "[+] %s - %d (%0.2f%%)" % (rule.rstrip('\r\n'), count, count*100/rule_counter_total)
rules_i += 1
print "\n[*] Top 10 password statistics"
top100_f = open("%s-top100.password" % self.basename, 'w')
password_stats_total = sum(self.password_stats.values())
for i,(password,count) in enumerate(sorted(self.password_stats.iteritems(), key=operator.itemgetter(1), reverse=True)[:100]):
if i < 10: print "[+] %s - %d (%0.2f%%)" % (password, count, float(count)*100/float(password_stats_total))
top100_f.write("%s\n" % password)
top100_f.close()
print "[*] Saving Top 100 passwords in %s-top100.password" % self.basename
rules_file.close()
rules_sorted_file.close()
f.close()
words_file = open("%s.word" % self.basename,'r')
words_sorted_file = open("%s-sorted.word" % self.basename,'w')
words_counter = Counter(words_file)
word_counter_total = sum(rules_counter.values())
print "\n[*] Top 10 word statistics"
words_i = 0
for (word, count) in words_counter.most_common():
words_sorted_file.write(word)
if words_i < 10: print "[+] %s - %d (%0.2f%%)" % (word.rstrip('\r\n'), count, count*100/word_counter_total)
words_i += 1
words_file.close()
words_sorted_file.close()
if __name__ == "__main__":
@ -861,7 +938,8 @@ if __name__ == "__main__":
ruletune.add_option("--maxrulelen", help="Maximum number of operations in a single rule", type="int", default=10, metavar="10")
ruletune.add_option("--maxrules", help="Maximum number of rules to consider", type="int", default=5, metavar="5")
ruletune.add_option("--morerules", help="Generate suboptimal rules", action="store_true", default=False)
ruletune.add_option("--simplerules", help="Generate simple rules insert,delete,hashcat",action="store_true", default=False)
ruletune.add_option("--simplerules", help="Generate simple rules insert,delete,replace",action="store_true", default=False)
ruletune.add_option("--bruterules", help="Bruteforce reversal and rotation rules (slow)",action="store_true", default=False)
parser.add_option_group(ruletune)
spelltune = OptionGroup(parser, "Fine tune spell checker engine:")
@ -899,6 +977,8 @@ if __name__ == "__main__":
rulegen.max_rules=options.maxrules
rulegen.more_rules=options.morerules
rulegen.simple_rules=options.simplerules
rulegen.brute_rules=options.bruterules
if rulegen.brute_rules: print "[!] Bruteforcing reversal and rotation rules. (slower)"
# Debugging options
rulegen.word = options.word
@ -920,4 +1000,5 @@ if __name__ == "__main__":
# Analyze a single password or several passwords in a file
if options.password: rulegen.analyze_password(args[0])
else: rulegen.analyze_passwords_file(args[0])
else:
rulegen.analyze_passwords_file(args[0])

23
statsgen.py
View File

@ -8,25 +8,7 @@
# Copyright (C) 2013 Peter Kacherginsky
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Please see the attached LICENSE file for additiona licensing information.
import sys
import re, operator, string
@ -110,6 +92,7 @@ class StatsGen:
return "".join(mask)
def generate_stats(self, filename):
""" Generate password statistics. """
f = open(filename,'r')
@ -152,6 +135,8 @@ class StatsGen:
f.close()
def print_stats(self):
""" Print password statistics. """
print "[+] Analyzing %d%% (%d/%d) of passwords" % (self.filter_counter*100/self.total_counter, self.filter_counter, self.total_counter)
print " NOTE: Statistics below is relative to the number of analyzed passwords, not total number of passwords"
print "\n[*] Line Count Statistics..."