├── core ├── __init__.py ├── ranger.py ├── prompt.py ├── config.py ├── colors.py ├── requester.py ├── datanize.py ├── evaluate.py ├── tweaker.py ├── zetanize.py ├── photon.py ├── utils.py └── entropy.py ├── requirements.txt ├── .travis.yml ├── README.md ├── bolt.py ├── db └── hashes.json └── LICENSE /core/__init__.py: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | numpy 2 | scipy 3 | requests 4 | fuzzywuzzy 5 | python-Levenshtein 6 | -------------------------------------------------------------------------------- /core/ranger.py: -------------------------------------------------------------------------------- 1 | def ranger(tokens): 2 | digits = set() 3 | alphabets = set() 4 | for token in tokens: 5 | for char in token: 6 | if char in '0123456789': 7 | digits.add(char) 8 | elif char in 'abcdefghijklmnopqrstuvwxyz': 9 | alphabets.add(char) 10 | return [list(digits), list(alphabets)] 11 | -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- 1 | 2 | language: python 3 | os: 4 | - linux 5 | python: 6 | - 3.6 7 | install: 8 | - pip install flake8 9 | before_script: 10 | - pip install -r requirements.txt 11 | # stop the build if there are Python syntax errors 12 | - flake8 . --count --select=E901,E999,F401,F701,F702,F706,F822,F823 --show-source --statistics 13 | # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide 14 | - flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics 15 | script: 16 | - python bolt.py -u https://github.com -l 1 17 | -------------------------------------------------------------------------------- /core/prompt.py: -------------------------------------------------------------------------------- 1 | import os 2 | import tempfile 3 | 4 | 5 | def prompt(default=None): 6 | editor = 'nano' 7 | with tempfile.NamedTemporaryFile(mode='r+') as tmpfile: 8 | if default: 9 | tmpfile.write(default) 10 | tmpfile.flush() 11 | 12 | child_pid = os.fork() 13 | is_child = child_pid == 0 14 | 15 | if is_child: 16 | os.execvp(editor, [editor, tmpfile.name]) 17 | else: 18 | os.waitpid(child_pid, 0) 19 | tmpfile.seek(0) 20 | return tmpfile.read().strip() 21 | -------------------------------------------------------------------------------- /core/config.py: -------------------------------------------------------------------------------- 1 | password = 'xXx!69!xXx' 2 | email = 'testing@gmail.com' 3 | strings = ['red', 'bob', 'admin', 'alex', 'testing', 4 | 'test', 'lol', 'yes', 'dragon', 'bad'] 5 | commonNames = ['csrf', 'auth', 'token', 'verify', 'hash'] 6 | tokenPattern = r'^[\w\-_+=/]{14,256}$' 7 | 8 | headers = { # default headers 9 | 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 10 | 'Accept-Language': 'en-US,en;q=0.5', 11 | 'Accept-Encoding': 'gzip,deflate', 12 | 'Connection': 'close', 13 | 'DNT': '1', 14 | 'Upgrade-Insecure-Requests': '1', 15 | } 16 | -------------------------------------------------------------------------------- /core/colors.py: -------------------------------------------------------------------------------- 1 | import sys 2 | 3 | colors = True # Output should be colored 4 | machine = sys.platform # Detecting the os of current system 5 | if machine.lower().startswith(('os', 'win', 'darwin', 'ios')): 6 | colors = False # Colors shouldn't be displayed in mac & windows 7 | if not colors: 8 | end = red = white = green = yellow = run = bad = good = info = que = '' 9 | lightning = '⚡' 10 | else: 11 | white = '\033[97m' 12 | green = '\033[92m' 13 | red = '\033[91m' 14 | yellow = '\033[93m' 15 | end = '\033[0m' 16 | back = '\033[7;91m' 17 | info = '\033[93m[!]\033[0m' 18 | que = '\033[94m[?]\033[0m' 19 | bad = '\033[91m[-]\033[0m' 20 | good = '\033[92m[+]\033[0m' 21 | run = '\033[97m[~]\033[0m' 22 | lightning = '\033[93;5m⚡\033[0m' 23 | -------------------------------------------------------------------------------- /core/requester.py: -------------------------------------------------------------------------------- 1 | import time 2 | import random 3 | import warnings 4 | import requests 5 | 6 | warnings.filterwarnings('ignore') # Disable SSL related warnings 7 | 8 | 9 | def requester(url, data, headers, GET, delay): 10 | time.sleep(delay) 11 | user_agents = ['Mozilla/5.0 (X11; Linux i686; rv:60.0) Gecko/20100101 Firefox/60.0', 12 | 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.113 Safari/537.36' 13 | 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36 OPR/43.0.2442.991'] 14 | if headers: 15 | if 'User-Agent' not in headers: 16 | headers['User-Agent'] = random.choice(user_agents) 17 | if GET: 18 | response = requests.get( 19 | url, params=data, headers=headers, verify=False) 20 | else: 21 | response = requests.post(url, data=data, headers=headers, verify=False) 22 | return response 23 | -------------------------------------------------------------------------------- /core/datanize.py: -------------------------------------------------------------------------------- 1 | import random 2 | import re 3 | 4 | from core.config import password, email, tokenPattern, strings 5 | 6 | 7 | def datanize(forms, tolerate=False): 8 | parsedForms = list(forms.values()) 9 | for oneForm in parsedForms: 10 | data = {} 11 | login = False 12 | protected = False 13 | action = oneForm['action'] 14 | method = oneForm['method'] 15 | inputs = oneForm['inputs'] 16 | for inp in inputs: 17 | name = inp['name'] 18 | kind = inp['type'] 19 | value = inp['value'] 20 | if re.match(tokenPattern, value): 21 | protected = True 22 | if kind == 'password': 23 | data[name] = password 24 | login = True 25 | if kind == 'email': 26 | data[name] = email 27 | if kind == 'text': 28 | data[name] = random.choice(strings) 29 | else: 30 | data[name] = value 31 | if method == 'GET': 32 | GET = True 33 | else: 34 | GET = False 35 | if protected: 36 | if not login or tolerate: 37 | return [GET, action, data] 38 | return None 39 | -------------------------------------------------------------------------------- /core/evaluate.py: -------------------------------------------------------------------------------- 1 | from re import match 2 | from core.utils import strength 3 | from core.config import commonNames 4 | 5 | 6 | def evaluate(dataset, weakTokens, tokenDatabase, allTokens, insecureForms): 7 | done = [] 8 | for i in dataset: 9 | for url, page in i.items(): 10 | localTokens = set() 11 | for each in page.values(): 12 | protected = False 13 | action = each['action'] 14 | method = each['method'] 15 | inputs = each['inputs'] 16 | for inp in inputs: 17 | name = inp['name'] 18 | value = inp['value'] 19 | if value and match(r'^[\w\-_]+$', value): 20 | if strength(value) > 10: 21 | localTokens.add(value) 22 | protected = True 23 | break 24 | elif name.lower() in commonNames: 25 | weakTokens.append({url: {name: value}}) 26 | if not protected and action not in done: 27 | done.append(done) 28 | insecureForms.append({url: each}) 29 | for token in localTokens: 30 | allTokens.append(token) 31 | tokenDatabase.append({url: localTokens}) 32 | -------------------------------------------------------------------------------- /core/tweaker.py: -------------------------------------------------------------------------------- 1 | from core.config import tokenPattern 2 | import random 3 | import re 4 | 5 | 6 | def tweaker(data, strategy, index=0, seeds=[None, None]): 7 | digits = seeds[0] 8 | alphabets = seeds[1] 9 | newData = {} 10 | if strategy == 'clear': 11 | for name, value in data.items(): 12 | if re.match(tokenPattern, value): 13 | value = '' 14 | newData[name] = value 15 | return newData 16 | elif strategy == 'remove': 17 | for name, value in data.items(): 18 | if not re.match(tokenPattern, value): 19 | newData[name] = value 20 | elif strategy == 'break': 21 | for name, value in data.items(): 22 | if re.match(tokenPattern, value): 23 | value = value[:index] 24 | for i in index: 25 | value += random.choice(digits + alphabets) 26 | newData[name] = value 27 | elif strategy == 'generate': 28 | for name, value in data.items(): 29 | if re.match(tokenPattern, value): 30 | newToken = '' 31 | for char in list(value): 32 | if char in digits: 33 | newToken += random.choice(digits) 34 | elif char in alphabets: 35 | newToken += random.choice(alphabets) 36 | else: 37 | newToken += char 38 | newData[name] = newToken 39 | else: 40 | newData[name] = value 41 | elif strategy == 'replace': 42 | for name, value in data.items(): 43 | if re.match(tokenPattern, value): 44 | value 45 | return newData 46 | -------------------------------------------------------------------------------- /core/zetanize.py: -------------------------------------------------------------------------------- 1 | import re 2 | from urllib.parse import urlparse 3 | 4 | 5 | def zetanize(url, response): 6 | parsedUrl = urlparse(url) 7 | mainUrl = parsedUrl.scheme + '://' + parsedUrl.netloc 8 | 9 | def e(string): 10 | return string.encode('utf-8') 11 | 12 | def d(string): 13 | return string.decode('utf-8') 14 | 15 | response = re.sub(r'(?s)', '', response) 16 | forms = {} 17 | matches = re.findall(r'(?i)(?s)', response) 18 | num = 0 19 | for match in matches: 20 | page = re.search(r'(?i)action=[\'"](.*?)[\'"]', match) 21 | method = re.search(r'(?i)method=[\'"](.*?)[\'"]', match) 22 | forms[num] = {} 23 | action = d(e(page.group(1))) 24 | if not action.startswith('http'): 25 | if action.startswith('/'): 26 | action = mainUrl + action 27 | else: 28 | action = mainUrl + '/' + action 29 | forms[num]['action'] = action.replace('&', '&') if page else '' 30 | forms[num]['method'] = d( 31 | e(method.group(1)).lower()) if method else 'get' 32 | forms[num]['inputs'] = [] 33 | inputs = re.findall(r'(?i)(?s)', response) 34 | for inp in inputs: 35 | inpName = re.search(r'(?i)name=[\'"](.*?)[\'"]', inp) 36 | if inpName: 37 | inpType = re.search(r'(?i)type=[\'"](.*?)[\'"]', inp) 38 | inpValue = re.search(r'(?i)value=[\'"](.*?)[\'"]', inp) 39 | inpName = d(e(inpName.group(1))) 40 | inpType = d(e(inpType.group(1)))if inpType else '' 41 | inpValue = d(e(inpValue.group(1))) if inpValue else '' 42 | if inpType.lower() == 'submit' and inpValue == '': 43 | inpValue = 'Submit Query' 44 | inpDict = { 45 | 'name': inpName, 46 | 'type': inpType, 47 | 'value': inpValue 48 | } 49 | forms[num]['inputs'].append(inpDict) 50 | num += 1 51 | return forms 52 | -------------------------------------------------------------------------------- /core/photon.py: -------------------------------------------------------------------------------- 1 | # Let's import what we need 2 | from re import findall 3 | import concurrent.futures 4 | from urllib.parse import urlparse # for python3 5 | 6 | from core.colors import run 7 | from core.zetanize import zetanize 8 | from core.requester import requester 9 | from core.utils import getUrl, getParams, remove_file 10 | 11 | 12 | def photon(seedUrl, headers, depth, threadCount): 13 | forms = [] # web forms 14 | processed = set() # urls that have been crawled 15 | storage = set() # urls that belong to the target i.e. in-scope 16 | scheme = urlparse(seedUrl).scheme 17 | host = urlparse(seedUrl).netloc 18 | main_url = scheme + '://' + host 19 | storage.add(seedUrl) 20 | 21 | def rec(url): 22 | processed.add(url) 23 | urlPrint = (url + (' ' * 60))[:60] 24 | print ('%s Parsing %-40s' % (run, urlPrint), end='\r') 25 | url = getUrl(url, '', True) 26 | params = getParams(url, '', True) 27 | if '=' in url: 28 | inps = [] 29 | for name, value in params.items(): 30 | inps.append({'name': name, 'value': value}) 31 | forms.append( 32 | {url: {0: {'action': url, 'method': 'get', 'inputs': inps}}}) 33 | response = requester(url, params, headers, True, 0).text 34 | forms.append({url: zetanize(url, response)}) 35 | matches = findall( 36 | r'<[aA][^>]*?(href|HREF)=["\']{0,1}(.*?)["\']', response) 37 | for link in matches: # iterate over the matches 38 | # remove everything after a "#" to deal with in-page anchors 39 | link = link[1].split('#')[0].lstrip(' ') 40 | if link[:4] == 'http': 41 | if link.startswith(main_url): 42 | storage.add(link) 43 | elif link[:2] == '//': 44 | if link.split('/')[2].startswith(host): 45 | storage.add(scheme + '://' + link) 46 | elif link[:1] == '/': 47 | storage.add(remove_file(url) + link) 48 | else: 49 | usable_url = remove_file(url) 50 | if usable_url.endswith('/'): 51 | storage.add(usable_url + link) 52 | elif link.startswith('/'): 53 | storage.add(usable_url + link) 54 | else: 55 | storage.add(usable_url + '/' + link) 56 | for x in range(depth): 57 | urls = storage - processed 58 | threadpool = concurrent.futures.ThreadPoolExecutor(max_workers=10) 59 | futures = (threadpool.submit(rec, url) for url in urls) 60 | for i in concurrent.futures.as_completed(futures): 61 | pass 62 | return [forms, len(processed)] 63 | -------------------------------------------------------------------------------- /core/utils.py: -------------------------------------------------------------------------------- 1 | import re 2 | from core.config import tokenPattern 3 | 4 | 5 | def longestCommonSubstring(s1, s2): 6 | m = [[0] * (1 + len(s2)) for i in range(1 + len(s1))] 7 | longest, x_longest = 0, 0 8 | for x in range(1, 1 + len(s1)): 9 | for y in range(1, 1 + len(s2)): 10 | if s1[x - 1] == s2[y - 1]: 11 | m[x][y] = m[x - 1][y - 1] + 1 12 | if m[x][y] > longest: 13 | longest = m[x][y] 14 | x_longest = x 15 | else: 16 | m[x][y] = 0 17 | return s1[x_longest - longest: x_longest] 18 | 19 | 20 | def stringToBinary(string): 21 | return ''.join(format(ord(x), 'b') for x in string) 22 | 23 | 24 | def strength(string): 25 | digits = re.findall(r'\d', string) 26 | lowerAlphas = re.findall(r'[a-z]', string) 27 | upperAlphas = re.findall(r'[A-Z]', string) 28 | entropy = len(set(digits + lowerAlphas + upperAlphas)) 29 | if not digits: 30 | entropy = entropy/2 31 | return entropy 32 | 33 | 34 | def isProtected(parsed): 35 | protected = False 36 | parsedForms = list(parsed.values()) 37 | for oneForm in parsedForms: 38 | inputs = oneForm['inputs'] 39 | for inp in inputs: 40 | name = inp['name'] 41 | kind = inp['type'] 42 | value = inp['value'] 43 | if re.match(tokenPattern, value): 44 | protected = True 45 | return protected 46 | 47 | 48 | def extractHeaders(headers): 49 | headers = headers.replace('\\n', '\n') 50 | sorted_headers = {} 51 | matches = re.findall(r'(.*):\s(.*)', headers) 52 | for match in matches: 53 | header = match[0] 54 | value = match[1] 55 | try: 56 | if value[-1] == ',': 57 | value = value[:-1] 58 | sorted_headers[header] = value 59 | except IndexError: 60 | pass 61 | return sorted_headers 62 | 63 | 64 | def getUrl(url, data, GET): 65 | if GET: 66 | return url.split('?')[0] 67 | else: 68 | return url 69 | 70 | 71 | def getParams(url, data, GET): 72 | params = {} 73 | if GET: 74 | if '=' in url: 75 | data = url.split('?')[1] 76 | if data[:1] == '?': 77 | data = data[1:] 78 | else: 79 | data = '' 80 | parts = data.split('&') 81 | for part in parts: 82 | each = part.split('=') 83 | try: 84 | params[each[0]] = each[1] 85 | except IndexError: 86 | params = None 87 | return params 88 | 89 | 90 | def remove_file(url): 91 | if url.count('/') > 2: 92 | replacable = re.search(r'/[^/]*?$', url).group() 93 | if replacable != '/': 94 | return url.replace(replacable, '') 95 | else: 96 | return url 97 | else: 98 | return url 99 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

2 |
3 | Bolt 4 |
5 | Bolt 6 |
7 |

8 | 9 |

A dumb CSRF scanner

10 | 11 |

12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 |

22 | 23 | ![demo](https://i.ibb.co/mTtHTGP/Screenshot-2018-12-30-03-42-26.png) 24 | 25 | ### Important 26 | Bolt is in beta phase of development which means there can be bugs. Any production use of this tool discouraged. 27 | Pull requests and issues are welcome. I also suggest you to put this repo on watch if you are interested in it. 28 | 29 | ### Workflow 30 | 31 | #### Crawling 32 | Bolt crawls the target website to the specified depth and stores all the HTML forms found in a database for further processing. 33 | 34 | #### Evaluating 35 | In this phase, Bolt finds out the tokens which aren't strong enough and the forms which aren't protected. 36 | 37 | ##### Comparing 38 | This phase focuses on detection on replay attack scenarios and hence checks if a token has been issued more than one time. 39 | It also calculates the average [levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance) between all the tokens to see if they are similar.\ 40 | Tokens are also compared against a database of 250+ hash patterns. 41 | 42 | ##### Observing 43 | In this phase, 100 simultaneous requests are made to a single webpage to see if same tokens are generated for the requests. 44 | 45 | ##### Testing 46 | This phase is dedicated to active testing of the CSRF protection mechanism. It includes but not limited to checking if protection exsists for moblie browsers, submitting requests with self-generated token and testing if token is being checked to a certain length. 47 | 48 | ##### Analysing 49 | Various statistical checks are performed in this phase to see if the token is really random. 50 | Following tests are performed during this phase 51 | - Monobit frequency test 52 | - Block frequency test 53 | - Runs test 54 | - Spectral test 55 | - Non-overlapping template matching test 56 | - Overlapping template matching test 57 | - Serial test 58 | - Cumultative sums test 59 | - Aproximate entropy test 60 | - Random excursions variant test 61 | - Linear complexity test 62 | - Longest runs test 63 | - Maurers universal statistic test 64 | - Random excursions test 65 | 66 | ### Usage 67 | 68 | Scanning a website for CSRF using Bolt is as easy as doing 69 | ``` 70 | python3 bolt.py -u https://github.com -l 2 71 | ``` 72 | Where `-u` is used to supply the URL and `-l` is used to specify the depth of crawling. 73 | 74 | Other options and switches: 75 | 76 | - `-t` number of threads 77 | - `--delay` delay between requests 78 | - `--timeout` http request timeout 79 | - `--headers` supply http headers 80 | 81 | #### Credits 82 | Regular Expressions for detecting hashes are taken from [hashID](https://github.com/psypanda/hashID).\ 83 | Bit level entropy tests are taken from [highfestiva](https://github.com/highfestiva)'s python implementation of statistical tests. 84 | -------------------------------------------------------------------------------- /bolt.py: -------------------------------------------------------------------------------- 1 | from core.colors import green, yellow, end, run, good, info, bad, white, red 2 | 3 | lightning = '\033[93;5m⚡\033[0m' 4 | 5 | 6 | def banner(): 7 | print (''' 8 | %s⚡ %sBOLT%s ⚡%s 9 | ''' % (yellow, white, yellow, end)) 10 | 11 | 12 | banner() 13 | 14 | try: 15 | import concurrent.futures 16 | from pathlib import Path 17 | except: 18 | print ('%s Bolt is not compatible with python 2. Please run it with python 3.' % bad) 19 | 20 | try: 21 | from fuzzywuzzy import fuzz, process 22 | except: 23 | import os 24 | print ('%s fuzzywuzzy library is not installed, installing now.' % info) 25 | os.system('pip3 install fuzzywuzzy') 26 | print ('%s fuzzywuzzy has been installed, please restart Bolt.' % info) 27 | quit() 28 | 29 | import argparse 30 | import json 31 | import random 32 | import re 33 | import statistics 34 | 35 | from core.entropy import isRandom 36 | from core.datanize import datanize 37 | from core.prompt import prompt 38 | from core.photon import photon 39 | from core.tweaker import tweaker 40 | from core.evaluate import evaluate 41 | from core.ranger import ranger 42 | from core.zetanize import zetanize 43 | from core.requester import requester 44 | from core.utils import extractHeaders, strength, isProtected, stringToBinary, longestCommonSubstring 45 | 46 | parser = argparse.ArgumentParser() 47 | parser.add_argument('-u', help='target url', dest='target') 48 | parser.add_argument('-t', help='number of threads', dest='threads', type=int) 49 | parser.add_argument('-l', help='levels to crawl', dest='level', type=int) 50 | parser.add_argument('--delay', help='delay between requests', 51 | dest='delay', type=int) 52 | parser.add_argument('--timeout', help='http request timeout', 53 | dest='timeout', type=int) 54 | parser.add_argument('--headers', help='http headers', 55 | dest='add_headers', nargs='?', const=True) 56 | args = parser.parse_args() 57 | 58 | if not args.target: 59 | print('\n' + parser.format_help().lower()) 60 | quit() 61 | 62 | if type(args.add_headers) == bool: 63 | headers = extractHeaders(prompt()) 64 | elif type(args.add_headers) == str: 65 | headers = extractHeaders(args.add_headers) 66 | else: 67 | from core.config import headers 68 | 69 | target = args.target 70 | delay = args.delay or 0 71 | level = args.level or 2 72 | timeout = args.timeout or 20 73 | threadCount = args.threads or 2 74 | 75 | allTokens = [] 76 | weakTokens = [] 77 | tokenDatabase = [] 78 | insecureForms = [] 79 | 80 | print (' %s Phase: Crawling %s[%s1/6%s]%s' % 81 | (lightning, green, end, green, end)) 82 | dataset = photon(target, headers, level, threadCount) 83 | allForms = dataset[0] 84 | print ('\r%s Crawled %i URL(s) and found %i form(s).%-10s' % 85 | (info, dataset[1], len(allForms), ' ')) 86 | print (' %s Phase: Evaluating %s[%s2/6%s]%s' % 87 | (lightning, green, end, green, end)) 88 | 89 | evaluate(allForms, weakTokens, tokenDatabase, allTokens, insecureForms) 90 | 91 | if weakTokens: 92 | print ('%s Weak token(s) found' % good) 93 | for weakToken in weakTokens: 94 | url = list(weakToken.keys())[0] 95 | token = list(weakToken.values())[0] 96 | print ('%s %s %s' % (info, url, token)) 97 | 98 | if insecureForms: 99 | print ('%s Insecure form(s) found' % good) 100 | for insecureForm in insecureForms: 101 | url = list(insecureForm.keys())[0] 102 | action = list(insecureForm.values())[0]['action'] 103 | form = action.replace(target, '') 104 | if form: 105 | print ('%s %s %s[%s%s%s]%s' % 106 | (bad, url, green, end, form, green, end)) 107 | 108 | print (' %s Phase: Comparing %s[%s3/6%s]%s' % 109 | (lightning, green, end, green, end)) 110 | uniqueTokens = set(allTokens) 111 | if len(uniqueTokens) < len(allTokens): 112 | print ('%s Potential Replay Attack condition found' % good) 113 | print ('%s Verifying and looking for the cause' % run) 114 | replay = False 115 | for each in tokenDatabase: 116 | url, token = next(iter(each.keys())), next(iter(each.values())) 117 | for each2 in tokenDatabase: 118 | url2, token2 = next(iter(each2.keys())), next(iter(each2.values())) 119 | if token == token2 and url != url2: 120 | print ('%s The same token was used on %s%s%s and %s%s%s' % 121 | (good, green, url, end, green, url2, end)) 122 | replay = True 123 | if not replay: 124 | print ('%s Further investigation shows that it was a false positive.') 125 | 126 | p = Path(__file__).parent.joinpath('db/hashes.json') 127 | with p.open('r') as f: 128 | hashPatterns = json.load(f) 129 | 130 | if not allTokens: 131 | print ('%s No CSRF protection to test' % bad) 132 | quit() 133 | 134 | aToken = allTokens[0] 135 | matches = [] 136 | for element in hashPatterns: 137 | pattern = element['regex'] 138 | if re.match(pattern, aToken): 139 | for name in element['matches']: 140 | matches.append(name) 141 | if matches: 142 | print ('%s Token matches the pattern of following hash type(s):' % info) 143 | for name in matches: 144 | print (' %s>%s %s' % (yellow, end, name)) 145 | 146 | 147 | def fuzzy(tokens): 148 | averages = [] 149 | for token in tokens: 150 | sameTokenRemoved = False 151 | result = process.extract(token, tokens, scorer=fuzz.partial_ratio) 152 | scores = [] 153 | for each in result: 154 | score = each[1] 155 | if score == 100 and not sameTokenRemoved: 156 | sameTokenRemoved = True 157 | continue 158 | scores.append(score) 159 | average = statistics.mean(scores) 160 | averages.append(average) 161 | return statistics.mean(averages) 162 | 163 | 164 | try: 165 | similarity = fuzzy(allTokens) 166 | print ('%s Tokens are %s%i%%%s similar to each other on an average' % 167 | (info, green, similarity, end)) 168 | except statistics.StatisticsError: 169 | print ('%s No CSRF protection to test' % bad) 170 | quit() 171 | 172 | 173 | def staticParts(allTokens): 174 | strings = list(set(allTokens.copy())) 175 | commonSubstrings = {} 176 | for theString in strings: 177 | strings.remove(theString) 178 | for string in strings: 179 | commonSubstring = longestCommonSubstring(theString, string) 180 | if commonSubstring not in commonSubstrings: 181 | commonSubstrings[commonSubstring] = [] 182 | if len(commonSubstring) > 2: 183 | if theString not in commonSubstrings[commonSubstring]: 184 | commonSubstrings[commonSubstring].append(theString) 185 | if string not in commonSubstrings[commonSubstring]: 186 | commonSubstrings[commonSubstring].append(string) 187 | return commonSubstrings 188 | 189 | 190 | result = {k: v for k, v in staticParts(allTokens).items() if v} 191 | 192 | if result: 193 | print ('%s Common substring found' % info) 194 | print (json.dumps(result, indent=4)) 195 | 196 | simTokens = [] 197 | 198 | print (' %s Phase: Observing %s[%s4/6%s]%s' % 199 | (lightning, green, end, green, end)) 200 | print ('%s 100 simultaneous requests are being made, please wait.' % info) 201 | 202 | 203 | def extractForms(url): 204 | response = requester(url, {}, headers, True, 0).text 205 | forms = zetanize(url, response) 206 | for each in forms.values(): 207 | localTokens = set() 208 | inputs = each['inputs'] 209 | for inp in inputs: 210 | value = inp['value'] 211 | if value and re.match(r'^[\w\-_]+$', value): 212 | if strength(value) > 10: 213 | simTokens.append(value) 214 | 215 | 216 | while True: 217 | sample = random.choice(tokenDatabase) 218 | goodToken = list(sample.values())[0] 219 | if len(goodToken) > 0: 220 | goodCandidate = list(sample.keys())[0] 221 | break 222 | 223 | threadpool = concurrent.futures.ThreadPoolExecutor(max_workers=30) 224 | futures = (threadpool.submit(extractForms, goodCandidate) 225 | for goodCandidate in [goodCandidate] * 30) 226 | for i in concurrent.futures.as_completed(futures): 227 | pass 228 | 229 | if simTokens: 230 | if len(set(simTokens)) < len(simTokens): 231 | print ('%s Same tokens were issued for simultaneous requests.' % good) 232 | else: 233 | print (simTokens) 234 | else: 235 | print ('%s Different tokens were issued for simultaneous requests.' % info) 236 | 237 | print (' %s Phase: Testing %s[%s5/6%s]%s' % 238 | (lightning, green, end, green, end)) 239 | 240 | parsed = '' 241 | found = False 242 | print ('%s Finding a suitable form for further testing. It may take a while.' % run) 243 | for form_dict in allForms: 244 | for url, forms in form_dict.items(): 245 | parsed = datanize(forms, tolerate=True) 246 | if parsed: 247 | found = True 248 | break 249 | if found: 250 | break 251 | 252 | if not parsed: 253 | quit('%s No suitable form found for testing.' % bad) 254 | 255 | origGET = parsed[0] 256 | origUrl = parsed[1] 257 | origData = parsed[2] 258 | 259 | print ('%s Making a request with CSRF token for comparison.' % run) 260 | response = requester(origUrl, origData, headers, origGET, 0) 261 | originalCode = response.status_code 262 | originalLength = len(response.text) 263 | print ('%s Status Code: %s' % (info, originalCode)) 264 | print ('%s Content Length: %i' % (info, originalLength)) 265 | print ('%s Checking if the resonse is dynamic.' % run) 266 | response = requester(origUrl, origData, headers, origGET, 0) 267 | secondLength = len(response.text) 268 | if originalLength != secondLength: 269 | print ('%s Response is dynamic.' % info) 270 | tolerableDifference = abs(originalLength - secondLength) 271 | else: 272 | print ('%s Response isn\'t dynamic.' % info) 273 | tolerableDifference = 0 274 | 275 | print ('%s Emulating a mobile browser' % run) 276 | print ('%s Making a request with mobile browser' % run) 277 | headers['User-Agent'] = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows CE; PPC; 240x320)' 278 | response = requester(origUrl, {}, headers, True, 0).text 279 | parsed = zetanize(origUrl, response) 280 | if isProtected(parsed): 281 | print ('%s CSRF protection is enabled for mobile browsers as well.' % bad) 282 | else: 283 | print ('%s CSRF protection isn\'t enabled for mobile browsers.' % good) 284 | 285 | print ('%s Making a request without CSRF token parameter.' % run) 286 | 287 | data = tweaker(origData, 'remove') 288 | response = requester(origUrl, data, headers, origGET, 0) 289 | if response.status_code == originalCode: 290 | if str(originalCode)[0] in ['4', '5']: 291 | print ('%s It didn\'t work' % bad) 292 | else: 293 | difference = abs(originalLength - len(response.text)) 294 | if difference <= tolerableDifference: 295 | print ('%s It worked!' % good) 296 | else: 297 | print ('%s It didn\'t work' % bad) 298 | 299 | print ('%s Making a request without CSRF token parameter value.' % run) 300 | data = tweaker(origData, 'clear') 301 | 302 | response = requester(origUrl, data, headers, origGET, 0) 303 | if response.status_code == originalCode: 304 | if str(originalCode)[0] in ['4', '5']: 305 | print ('%s It didn\'t work' % bad) 306 | else: 307 | difference = abs(originalLength - len(response.text)) 308 | if difference <= tolerableDifference: 309 | print ('%s It worked!' % good) 310 | else: 311 | print ('%s It didn\'t work' % bad) 312 | 313 | 314 | seeds = ranger(allTokens) 315 | 316 | print ('%s Checking if tokens are checked to a specific length' % run) 317 | 318 | for index in range(len(allTokens[0])): 319 | data = tweaker(origData, 'replace', index=index, seeds=seeds) 320 | response = requester(origUrl, data, headers, origGET, 0) 321 | if response.status_code == originalCode: 322 | if str(originalCode)[0] in ['4', '5']: 323 | break 324 | else: 325 | difference = abs(originalLength - len(response.text)) 326 | if difference <= tolerableDifference: 327 | print ('%s Last %i chars of token aren\'t being checked' % 328 | (good, index + 1)) 329 | else: 330 | break 331 | 332 | print ('%s Generating a fake token.' % run) 333 | 334 | data = tweaker(origData, 'generate', seeds=seeds) 335 | print ('%s Making a request with the self generated token.' % run) 336 | 337 | response = requester(origUrl, data, headers, origGET, 0) 338 | if response.status_code == originalCode: 339 | if str(originalCode)[0] in ['4', '5']: 340 | print ('%s It didn\'t work' % bad) 341 | else: 342 | difference = abs(originalLength - len(response.text)) 343 | if difference <= tolerableDifference: 344 | print ('%s It worked!' % good) 345 | else: 346 | print ('%s It didn\'t work' % bad) 347 | 348 | print (' %s Phase: Analysing %s[%s6/6%s]%s' % 349 | (lightning, green, end, green, end)) 350 | 351 | binary = stringToBinary(''.join(allTokens)) 352 | result = isRandom(binary) 353 | for name, result in result.items(): 354 | if not result: 355 | print ('%s %s : %s%s%s' % (good, name, green, 'non-random', end)) 356 | else: 357 | print ('%s %s : %s%s%s' % (bad, name, red, 'random', end)) 358 | -------------------------------------------------------------------------------- /core/entropy.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | import numpy as np 4 | from math import floor, log 5 | import scipy.special as spc 6 | import scipy.fftpack as sff 7 | import scipy.stats as sst 8 | from functools import reduce 9 | 10 | 11 | def sumi(x): return 2 * x - 1 12 | 13 | 14 | def su(x, y): return x + y 15 | 16 | 17 | def sus(x): return (x - 0.5) ** 2 18 | 19 | 20 | def sq(x): return int(x) ** 2 21 | 22 | 23 | def logo(x): return x * np.log(x) 24 | 25 | 26 | def pr(u, x): 27 | if u == 0: 28 | out = 1.0 * np.exp(-x) 29 | else: 30 | out = 1.0 * x * np.exp(2*-x) * (2**-u) * spc.hyp1f1(u + 1, 2, x) 31 | return out 32 | 33 | 34 | def stringpart(binin, num): 35 | blocks = [binin[xs * num:num + xs * num:] 36 | for xs in range(floor(len(binin) / num))] 37 | return blocks 38 | 39 | 40 | def randgen(num): 41 | '''Spits out a stream of random numbers like '1001001' with the length num''' 42 | 43 | rn = open('/dev/urandom', 'r') 44 | random_chars = rn.read(num / 2) 45 | stream = '' 46 | for char in random_chars: 47 | c = ord(char) 48 | for i in range(0, 2): 49 | stream += str(c >> i & 1) 50 | return stream 51 | 52 | 53 | def monobitfrequencytest(binin): 54 | ''' The focus of the test is the proportion of zeroes and ones for the entire sequence. The purpose of this test is to determine whether that number of ones and zeros in a sequence are approximately the same as would be expected for a truly random sequence. The test assesses the closeness of the fraction of ones to 1/2, that is, the number of ones and zeroes in a sequence should be about the same.''' 55 | 56 | ss = [int(el) for el in binin] 57 | sc = list(map(sumi, ss)) 58 | sn = reduce(su, sc) 59 | sobs = np.abs(sn) / np.sqrt(len(binin)) 60 | pval = spc.erfc(sobs / np.sqrt(2)) 61 | return pval 62 | 63 | 64 | def blockfrequencytest(binin, nu=20): 65 | ''' The focus of the test is the proportion of zeroes and ones within M-bit blocks. The purpose of this test is to determine whether the frequency of ones is an M-bit block is approximately M/2.''' 66 | ss = [int(el) for el in binin] 67 | tt = [1.0 * sum(ss[xs * nu:nu + xs * nu:]) / 68 | nu for xs in range(floor(len(ss) / nu))] 69 | uu = list(map(sus, tt)) 70 | chisqr = 4 * nu * reduce(su, uu, 0) 71 | pval = spc.gammaincc(len(tt) / 2.0, chisqr / 2.0) 72 | return pval 73 | 74 | 75 | def runstest(binin): 76 | ''' The focus of this test is the total number of zero and one runs in the entire sequence, where a run is an uninterrupted sequence of identical bits. A run of length k means that a run consists of exactly k identical bits and is bounded before and after with a bit of the opposite value. The purpose of the runs test is to determine whether the number of runs of ones and zeros of various lengths is as expected for a random sequence. In particular, this test determines whether the oscillation between such substrings is too fast or too slow.''' 77 | ss = [int(el) for el in binin] 78 | n = len(binin) 79 | pi = 1.0 * reduce(su, ss) / n 80 | vobs = len(binin.replace('0', ' ').split()) + \ 81 | len(binin.replace('1', ' ').split()) 82 | pval = spc.erfc(abs(vobs-2*n*pi*(1-pi)) / 83 | (2 * pi * (1 - pi) * np.sqrt(2*n))) 84 | return pval 85 | 86 | 87 | def longestrunones8(binin): 88 | ''' The focus of the test is the longest run of ones within M-bit blocks. The purpose of this test is to determine whether the length of the longest run of ones within the tested sequence is consistent with the length of the longest run of ones that would be expected in a random sequence. Note that an irregularity in the expected length of the longest run of ones implies that there is also an irregularity in the expected length of the longest run of zeroes. Long runs of zeroes were not evaluated separately due to a concern about statistical independence among the tests.''' 89 | m = 8 90 | k = 3 91 | pik = [0.2148, 0.3672, 0.2305, 0.1875] 92 | blocks = [binin[xs*m:m+xs*m:] for xs in range(len(binin) / m)] 93 | n = len(blocks) 94 | # append the string 01 to guarantee the length of 1 95 | counts1 = [xs+'01' for xs in blocks] 96 | counts = [xs.replace('0', ' ').split() 97 | for xs in counts1] # split into all parts 98 | counts2 = [list(map(len, xx)) for xx in counts] 99 | counts4 = [(4 if xx > 4 else xx) for xx in map(max, counts2)] 100 | freqs = [counts4.count(spi) for spi in [1, 2, 3, 4]] 101 | chisqr1 = [(freqs[xx]-n*pik[xx])**2/(n*pik[xx]) for xx in range(4)] 102 | chisqr = reduce(su, chisqr1) 103 | pval = spc.gammaincc(k / 2.0, chisqr / 2.0) 104 | return pval 105 | 106 | 107 | def longestrunones128(binin): # not well tested yet 108 | if len(binin) > 128: 109 | m = 128 110 | k = 5 111 | n = len(binin) 112 | pik = [0.1174, 0.2430, 0.2493, 0.1752, 0.1027, 0.1124] 113 | blocks = [binin[xs * m:m + xs * m:] for xs in range(len(binin) / m)] 114 | n = len(blocks) 115 | counts = [xs.replace('0', ' ').split() for xs in blocks] 116 | counts2 = [list(map(len, xx)) for xx in counts] 117 | counts3 = [(1 if xx < 1 else xx) for xx in map(max, counts2)] 118 | counts4 = [(4 if xx > 4 else xx) for xx in counts3] 119 | chisqr1 = [(counts4[xx] - n * pik[xx]) ** 2 / (n * pik[xx]) 120 | for xx in range(len(counts4))] 121 | chisqr = reduce(su, chisqr1) 122 | pval = spc.gammaincc(k / 2.0, chisqr / 2.0) 123 | else: 124 | print('longestrunones128 failed, too few bits:', len(binin)) 125 | pval = 0 126 | return pval 127 | 128 | 129 | def longestrunones10000(binin): # not well tested yet 130 | ''' The focus of the test is the longest run of ones within M-bit blocks. The purpose of this test is to determine whether the length of the longest run of ones within the tested sequence is consistent with the length of the longest run of ones that would be expected in a random sequence. Note that an irregularity in the expected length of the longest run of ones implies that there is also an irregularity in the expected length of the longest run of zeroes. Long runs of zeroes were not evaluated separately due to a concern about statistical independence among the tests.''' 131 | if len(binin) > 128: 132 | m = 10000 133 | k = 6 134 | pik = [0.0882, 0.2092, 0.2483, 0.1933, 0.1208, 0.0675, 0.0727] 135 | blocks = [binin[xs * m:m + xs * m:] 136 | for xs in range(floor(len(binin) / m))] 137 | n = len(blocks) 138 | counts = [xs.replace('0', ' ').split() for xs in blocks] 139 | counts2 = [list(map(len, xx)) for xx in counts] 140 | counts3 = [(10 if xx < 10 else xx) for xx in map(max, counts2)] 141 | counts4 = [(16 if xx > 16 else xx) for xx in counts3] 142 | freqs = [counts4.count(spi) for spi in [10, 11, 12, 13, 14, 15, 16]] 143 | chisqr1 = [(freqs[xx] - n * pik[xx]) ** 2 / (n * pik[xx]) 144 | for xx in range(len(freqs))] 145 | chisqr = reduce(su, chisqr1) 146 | pval = spc.gammaincc(k / 2.0, chisqr / 2.0) 147 | else: 148 | print('longestrunones10000 failed, too few bits:', len(binin)) 149 | pval = 0 150 | return pval 151 | 152 | # test 2.06 153 | 154 | 155 | def spectraltest(binin): 156 | '''The focus of this test is the peak heights in the discrete Fast Fourier Transform. The purpose of this test is to detect periodic features (i.e., repetitive patterns that are near each other) in the tested sequence that would indicate a deviation from the assumption of randomness. ''' 157 | 158 | n = len(binin) 159 | ss = [int(el) for el in binin] 160 | sc = list(map(sumi, ss)) 161 | ft = sff.fft(sc) 162 | af = abs(ft)[1:floor(n/2)+1:] 163 | t = np.sqrt(np.log(1/0.05)*n) 164 | n0 = 0.95*n/2 165 | n1 = len(np.where(af < t)[0]) 166 | d = (n1 - n0)/np.sqrt(n*0.95*0.05/4) 167 | pval = spc.erfc(abs(d)/np.sqrt(2)) 168 | return pval 169 | 170 | 171 | def nonoverlappingtemplatematchingtest(binin, mat="000000001", num=9): 172 | ''' The focus of this test is the number of occurrences of pre-defined target substrings. The purpose of this test is to reject sequences that exhibit too many occurrences of a given non-periodic (aperiodic) pattern. For this test and for the Overlapping Template Matching test, an m-bit window is used to search for a specific m-bit pattern. If the pattern is not found, the window slides one bit position. For this test, when the pattern is found, the window is reset to the bit after the found pattern, and the search resumes.''' 173 | n = len(binin) 174 | m = len(mat) 175 | M = floor(n/num) 176 | blocks = [binin[xs*M:M+xs*M:] for xs in range(floor(n/M))] 177 | counts = [xx.count(mat) for xx in blocks] 178 | avg = 1.0 * (M-m+1)/2 ** m 179 | var = M*(2**-m - (2*m-1)*2**(-2*m)) 180 | chisqr = reduce(su, [(xs - avg) ** 2 for xs in counts]) / var 181 | pval = spc.gammaincc(1.0 * len(blocks) / 2, chisqr / 2) 182 | return pval 183 | 184 | 185 | def occurances(string, sub): 186 | count = start = 0 187 | while True: 188 | start = string.find(sub, start)+1 189 | if start > 0: 190 | count += 1 191 | else: 192 | return count 193 | 194 | 195 | def overlappingtemplatematchingtest(binin, mat="111111111", num=1032, numi=9): 196 | ''' The focus of this test is the number of pre-defined target substrings. The purpose of this test is to reject sequences that show deviations from the expected number of runs of ones of a given length. Note that when there is a deviation from the expected number of ones of a given length, there is also a deviation in the runs of zeroes. Runs of zeroes were not evaluated separately due to a concern about statistical independence among the tests. For this test and for the Non-overlapping Template Matching test, an m-bit window is used to search for a specific m-bit pattern. If the pattern is not found, the window slides one bit position. For this test, when the pattern is found, the window again slides one bit, and the search is resumed.''' 197 | n = len(binin) 198 | bign = int(n / num) 199 | m = len(mat) 200 | lamda = 1.0 * (num - m + 1) / 2 ** m 201 | eta = 0.5 * lamda 202 | pi = [pr(i, eta) for i in range(numi)] 203 | pi.append(1 - reduce(su, pi)) 204 | v = [0 for x in range(numi + 1)] 205 | blocks = stringpart(binin, num) 206 | blocklen = len(blocks[0]) 207 | counts = [occurances(i, mat) for i in blocks] 208 | counts2 = [(numi if xx > numi else xx) for xx in counts] 209 | for i in counts2: 210 | v[i] = v[i] + 1 211 | chisqr = reduce(su, [(v[i]-bign*pi[i]) ** 2 / (bign*pi[i]) 212 | for i in range(numi + 1)]) 213 | pval = spc.gammaincc(0.5*numi, 0.5*chisqr) 214 | return pval 215 | 216 | 217 | def maurersuniversalstatistictest(binin, l=6, q=640): 218 | ''' The focus of this test is the number of bits between matching patterns. The purpose of the test is to detect whether or not the sequence can be significantly compressed without loss of information. An overly compressible sequence is considered to be non-random.''' 219 | ru = [ 220 | [0.7326495, 0.690], 221 | [1.5374383, 1.338], 222 | [2.4016068, 1.901], 223 | [3.3112247, 2.358], 224 | [4.2534266, 2.705], 225 | [5.2177052, 2.954], 226 | [6.1962507, 3.125], 227 | [7.1836656, 3.238], 228 | [8.1764248, 3.311], 229 | [9.1723243, 3.356], 230 | [10.170032, 3.384], 231 | [11.168765, 3.401], 232 | [12.168070, 3.410], 233 | [13.167693, 3.416], 234 | [14.167488, 3.419], 235 | [15.167379, 3.421], 236 | ] 237 | blocks = [int(li, 2) + 1 for li in stringpart(binin, l)] 238 | k = len(blocks) - q 239 | states = [0 for x in range(2**l)] 240 | for x in range(q): 241 | states[blocks[x]-1] = x+1 242 | sumi = 0.0 243 | for x in range(q, len(blocks)): 244 | sumi += np.log2((x+1)-states[blocks[x]-1]) 245 | states[blocks[x]-1] = x+1 246 | fn = sumi / k 247 | c = 0.7-(0.8/l)+(4+(32.0/l))*((k**(-3.0/l))/15) 248 | sigma = c*np.sqrt((ru[l-1][1])/k) 249 | pval = spc.erfc(abs(fn-ru[l-1][0]) / (np.sqrt(2)*sigma)) 250 | return pval 251 | 252 | 253 | def lempelzivcompressiontest1(binin): 254 | ''' The focus of this test is the number of cumulatively distinct patterns (words) in the sequence. The purpose of the test is to determine how far the tested sequence can be compressed. The sequence is considered to be non-random if it can be significantly compressed. A random sequence will have a characteristic number of distinct patterns.''' 255 | i = 1 256 | j = 0 257 | n = len(binin) 258 | mu = 69586.25 259 | sigma = 70.448718 260 | words = [] 261 | while (i+j) <= n: 262 | tmp = binin[i:i+j:] 263 | if words.count(tmp) > 0: 264 | j += 1 265 | else: 266 | words.append(tmp) 267 | i += j+1 268 | j = 0 269 | wobs = len(words) 270 | pval = 0.5*spc.erfc((mu-wobs)/np.sqrt(2.0*sigma)) 271 | return pval 272 | 273 | # test 2.11 274 | 275 | 276 | def serialtest(binin): 277 | m = int(log(len(binin), 2) - 3) 278 | ''' The focus of this test is the frequency of each and every overlapping m-bit pattern across the entire sequence. The purpose of this test is to determine whether the number of occurrences of the 2m m-bit overlapping patterns is approximately the same as would be expected for a random sequence. The pattern can overlap.''' 279 | n = len(binin) 280 | hbin = binin+binin[0:m-1:] 281 | f1a = [hbin[xs:m+xs:] for xs in range(n)] 282 | oo = set(f1a) 283 | f1 = [f1a.count(xs)**2 for xs in oo] 284 | f1 = list(map(f1a.count, oo)) 285 | cou = f1a.count 286 | f2a = [hbin[xs:m-1+xs:] for xs in range(n)] 287 | f2 = [f2a.count(xs)**2 for xs in set(f2a)] 288 | f3a = [hbin[xs:m-2+xs:] for xs in range(n)] 289 | f3 = [f3a.count(xs)**2 for xs in set(f3a)] 290 | psim1 = 0 291 | psim2 = 0 292 | psim3 = 0 293 | if m >= 0: 294 | suss = reduce(su, f1) 295 | psim1 = 1.0 * 2 ** m * suss / n - n 296 | if m >= 1: 297 | suss = reduce(su, f2) 298 | psim2 = 1.0 * 2 ** (m - 1) * suss / n - n 299 | if m >= 2: 300 | suss = reduce(su, f3) 301 | psim3 = 1.0 * 2 ** (m - 2) * suss / n - n 302 | d1 = psim1-psim2 303 | d2 = psim1-2 * psim2 + psim3 304 | pval1 = spc.gammaincc(2 ** (m - 2), d1 / 2.0) 305 | pval2 = spc.gammaincc(2 ** (m - 3), d2 / 2.0) 306 | return [pval1, pval2] 307 | 308 | 309 | def cumultativesumstest(binin): 310 | ''' The focus of this test is the maximal excursion (from zero) of the random walk defined by the cumulative sum of adjusted (-1, +1) digits in the sequence. The purpose of the test is to determine whether the cumulative sum of the partial sequences occurring in the tested sequence is too large or too small relative to the expected behavior of that cumulative sum for random sequences. This cumulative sum may be considered as a random walk. For a random sequence, the random walk should be near zero. For non-random sequences, the excursions of this random walk away from zero will be too large.''' 311 | n = len(binin) 312 | ss = [int(el) for el in binin] 313 | sc = list(map(sumi, ss)) 314 | cs = np.cumsum(sc) 315 | z = max(abs(cs)) 316 | ra = 0 317 | start = int(np.floor(0.25 * np.floor(-n / z) + 1)) 318 | stop = int(np.floor(0.25 * np.floor(n / z) - 1)) 319 | pv1 = [] 320 | for k in range(start, stop + 1): 321 | pv1.append(sst.norm.cdf((4 * k + 1) * z / np.sqrt(n)) - 322 | sst.norm.cdf((4 * k - 1) * z / np.sqrt(n))) 323 | start = int(np.floor(0.25 * np.floor(-n / z - 3))) 324 | stop = int(np.floor(0.25 * np.floor(n / z) - 1)) 325 | pv2 = [] 326 | for k in range(start, stop + 1): 327 | pv2.append(sst.norm.cdf((4 * k + 3) * z / np.sqrt(n)) - 328 | sst.norm.cdf((4 * k + 1) * z / np.sqrt(n))) 329 | pval = 1 330 | pval -= reduce(su, pv1) 331 | pval += reduce(su, pv2) 332 | 333 | return pval 334 | 335 | 336 | def cumultativesumstestreverse(binin): 337 | '''The focus of this test is the maximal excursion (from zero) of the random walk defined by the cumulative sum of adjusted (-1, +1) digits in the sequence. The purpose of the test is to determine whether the cumulative sum of the partial sequences occurring in the tested sequence is too large or too small relative to the expected behavior of that cumulative sum for random sequences. This cumulative sum may be considered as a random walk. For a random sequence, the random walk should be near zero. For non-random sequences, the excursions of this random walk away from zero will be too large. ''' 338 | pval = cumultativesumstest(binin[::-1]) 339 | return pval 340 | 341 | 342 | def pik(k, x): 343 | if k == 0: 344 | out = 1-1.0/(2*np.abs(x)) 345 | elif k >= 5: 346 | out = (1.0/(2*np.abs(x)))*(1-1.0/(2*np.abs(x)))**4 347 | else: 348 | out = (1.0/(4*x*x))*(1-1.0/(2*np.abs(x)))**(k-1) 349 | return out 350 | 351 | 352 | def randomexcursionstest(binin): 353 | ''' The focus of this test is the number of cycles having exactly K visits in a cumulative sum random walk. The cumulative sum random walk is found if partial sums of the (0,1) sequence are adjusted to (-1, +1). A random excursion of a random walk consists of a sequence of n steps of unit length taken at random that begin at and return to the origin. The purpose of this test is to determine if the number of visits to a state within a random walk exceeds what one would expect for a random sequence.''' 354 | xvals = [-4, -3, -2, -1, 1, 2, 3, 4] 355 | ss = [int(el) for el in binin] 356 | sc = list(map(sumi, ss)) 357 | cumsum = np.cumsum(sc) 358 | cumsum = np.append(cumsum, 0) 359 | cumsum = np.append(0, cumsum) 360 | posi = np.where(cumsum == 0)[0] 361 | cycles = ([cumsum[posi[x]:posi[x+1]+1] for x in range(len(posi)-1)]) 362 | j = len(cycles) 363 | sct = [] 364 | for ii in cycles: 365 | sct.append(([len(np.where(ii == xx)[0]) for xx in xvals])) 366 | sct = np.transpose(np.clip(sct, 0, 5)) 367 | su = [] 368 | for ii in range(6): 369 | su.append([(xx == ii).sum() for xx in sct]) 370 | su = np.transpose(su) 371 | pikt = ([([pik(uu, xx) for uu in range(6)]) for xx in xvals]) 372 | # chitab=1.0*((su-j*pikt)**2)/(j*pikt) 373 | chitab = np.sum(1.0*(np.array(su)-j*np.array(pikt)) 374 | ** 2/(j*np.array(pikt)), axis=1) 375 | pval = ([spc.gammaincc(2.5, cs/2.0) for cs in chitab]) 376 | return pval 377 | 378 | 379 | def getfreq(linn, nu): 380 | val = 0 381 | for (x, y) in linn: 382 | if x == nu: 383 | val = y 384 | return val 385 | 386 | 387 | def randomexcursionsvarianttest(binin): 388 | ''' The focus of this test is the number of times that a particular state occurs in a cumulative sum random walk. The purpose of this test is to detect deviations from the expected number of occurrences of various states in the random walk.''' 389 | ss = [int(el) for el in binin] 390 | sc = list(map(sumi, ss)) 391 | cs = np.cumsum(sc) 392 | li = [] 393 | for xs in sorted(set(cs)): 394 | if np.abs(xs) <= 9: 395 | li.append([xs, len(np.where(cs == xs)[0])]) 396 | j = getfreq(li, 0) + 1 397 | pval = [] 398 | for xs in range(-9, 9 + 1): 399 | if not xs == 0: 400 | # pval.append([xs, spc.erfc(np.abs(getfreq(li, xs) - j) / np.sqrt(2 * j * (4 * np.abs(xs) - 2)))]) 401 | pval.append(spc.erfc(np.abs(getfreq(li, xs) - j) / 402 | np.sqrt(2 * j * (4 * np.abs(xs) - 2)))) 403 | return pval 404 | 405 | 406 | def aproximateentropytest(binin, m=5): 407 | ''' The focus of this test is the frequency of each and every overlapping m-bit pattern. The purpose of the test is to compare the frequency of overlapping blocks of two consecutive/adjacent lengths (m and m+1) against the expected result for a random sequence.''' 408 | n = len(binin) 409 | f1a = [(binin + binin[0:m - 1:])[xs:m + xs:] for xs in range(n)] 410 | f1 = [[xs, f1a.count(xs)] for xs in sorted(set(f1a))] 411 | f2a = [(binin + binin[0:m:])[xs:m + 1 + xs:] for xs in range(n)] 412 | f2 = [[xs, f2a.count(xs)] for xs in sorted(set(f2a))] 413 | c1 = [1.0 * f1[xs][1] / n for xs in range(len(f1))] 414 | c2 = [1.0 * f2[xs][1] / n for xs in range(len(f2))] 415 | phi1 = reduce(su, list(map(logo, c1))) 416 | phi2 = reduce(su, list(map(logo, c2))) 417 | apen = phi1 - phi2 418 | chisqr = 2.0 * n * (np.log(2) - apen) 419 | pval = spc.gammaincc(2 ** (m - 1), chisqr / 2.0) 420 | return pval 421 | 422 | 423 | def matrank(mat): # old function, does not work as advertized - gives the matrix rank, but not binary 424 | u, s, v = np.linalg.svd(mat) 425 | rank = np.sum(s > 1e-10) 426 | return rank 427 | 428 | 429 | def mrank(matrix): # matrix rank as defined in the NIST specification 430 | m = len(matrix) 431 | leni = len(matrix[0]) 432 | 433 | def proc(mat): 434 | for i in range(m): 435 | if mat[i][i] == 0: 436 | for j in range(i+1, m): 437 | if mat[j][i] == 1: 438 | mat[j], mat[i] = mat[i], mat[j] 439 | break 440 | if mat[i][i] == 1: 441 | for j in range(i+1, m): 442 | if mat[j][i] == 1: 443 | mat[j] = [mat[i][x] ^ mat[j][x] for x in range(leni)] 444 | return mat 445 | maa = proc(matrix) 446 | maa.reverse() 447 | mu = [i[::-1] for i in maa] 448 | muu = proc(mu) 449 | ra = np.sum(np.sign([xx.sum() for xx in np.array(mu)])) 450 | return ra 451 | 452 | 453 | def binarymatrixranktest(binin, m=32, q=32): 454 | ''' The focus of the test is the rank of disjoint sub-matrices of the entire sequence. The purpose of this test is to check for linear dependence among fixed length substrings of the original sequence.''' 455 | p1 = 1.0 456 | for x in range(1, 50): 457 | p1 *= 1-(1.0/(2**x)) 458 | p2 = 2*p1 459 | p3 = 1-p1-p2 460 | n = len(binin) 461 | # the input string as numbers, to generate the dot product 462 | u = [int(el) for el in binin] 463 | f1a = [u[xs*m:xs*m+m:] for xs in range(floor(n/m))] 464 | n = len(f1a) 465 | f2a = [f1a[xs*q:xs*q+q:] for xs in range(floor(n/q))] 466 | # r=map(matrank,f2a) 467 | r = list(map(mrank, f2a)) 468 | n = len(r) 469 | fm = r.count(m) 470 | fm1 = r.count(m-1) 471 | chisqr = ((fm-p1*n)**2)/(p1*n)+((fm1-p2*n)**2) / \ 472 | (p2*n)+((n-fm-fm1-p3*n)**2)/(p3*n) 473 | pval = np.exp(-0.5*chisqr) 474 | return pval 475 | 476 | 477 | def lincomplex(binin): 478 | lenn = len(binin) 479 | c = b = np.zeros(lenn) 480 | c[0] = b[0] = 1 481 | l = 0 482 | m = -1 483 | n = 0 484 | # the input string as numbers, to generate the dot product 485 | u = [int(el) for el in binin] 486 | p = 99 487 | while n < lenn: 488 | v = u[(n-l):n] # was n-l..n-1 489 | v.reverse() 490 | cc = c[1:l+1] # was 2..l+1 491 | d = (u[n]+np.dot(v, cc)) % 2 492 | if d == 1: 493 | tmp = c 494 | p = np.zeros(lenn) 495 | for i in range(0, l): # was 1..l+1 496 | if b[i] == 1: 497 | p[i+n-m] = 1 498 | c = (c+p) % 2 499 | if l <= 0.5*n: # was if 2l <= n 500 | l = n+1-l 501 | m = n 502 | b = tmp 503 | n += 1 504 | return l 505 | 506 | # test 2.10 507 | 508 | 509 | def linearcomplexitytest(binin, m=500): 510 | ''' The focus of this test is the length of a generating feedback register. The purpose of this test is to determine whether or not the sequence is complex enough to be considered random. Random sequences are characterized by a longer feedback register. A short feedback register implies non-randomness.''' 511 | k = 6 512 | pi = [0.01047, 0.03125, 0.125, 0.5, 0.25, 0.0625, 0.020833] 513 | avg = 0.5*m + (1.0/36)*(9 + (-1)**(m + 1)) - (m/3.0 + 2.0/9)/2**m 514 | blocks = stringpart(binin, m) 515 | bign = len(blocks) 516 | lc = ([lincomplex(chunk) for chunk in blocks]) 517 | t = ([-1.0*(((-1)**m)*(chunk-avg)+2.0/9) for chunk in lc]) 518 | vg = np.histogram(t, bins=[-9999999999, -2.5, - 519 | 1.5, -0.5, 0.5, 1.5, 2.5, 9999999999])[0][::-1] 520 | im = ([((vg[ii]-bign*pi[ii])**2)/(bign*pi[ii]) for ii in range(7)]) 521 | chisqr = reduce(su, im) 522 | pval = spc.gammaincc(k/2.0, chisqr/2.0) 523 | return pval 524 | 525 | 526 | def isRandom(bits): 527 | result = {} 528 | 529 | def adder(name, p): 530 | if 'list' in str(type(p)): 531 | count = 0 532 | for i in p: 533 | if 'nan' in str(i): 534 | pass 535 | elif 'e' in str(i): 536 | pass 537 | elif i > 0.01: 538 | pass 539 | else: 540 | count += 1 541 | if count >= (len(p)/2): 542 | result[name] = False 543 | else: 544 | result[name] = True 545 | elif 'e' in str(p): 546 | pass 547 | elif p > 0.01: 548 | result[name] = True 549 | else: 550 | result[name] = False 551 | try: 552 | adder('Monobit frequency test', monobitfrequencytest(bits[:100])) 553 | except: 554 | pass 555 | try: 556 | adder('Block frequency test', blockfrequencytest(bits[:2000])) 557 | except: 558 | pass 559 | try: 560 | adder('Runs test', runstest(bits)) 561 | except: 562 | pass 563 | try: 564 | adder('Spectral test', spectraltest(bits[:1024])) 565 | except: 566 | pass 567 | try: 568 | adder('Non-overlapping template matching test', 569 | nonoverlappingtemplatematchingtest(bits[:1048576], '11111', 8)) 570 | except: 571 | pass 572 | try: 573 | adder('Overlapping template matching test', 574 | overlappingtemplatematchingtest(bits[:998976], '0000001', 12, 5)) 575 | except: 576 | pass 577 | try: 578 | adder('Serial test', serialtest(bits[:500])) 579 | except: 580 | pass 581 | try: 582 | adder('Cumultative sums test', cumultativesumstest(bits[:100])) 583 | except: 584 | pass 585 | try: 586 | adder('Aproximate entropy test', aproximateentropytest(bits[:500], 5)) 587 | except: 588 | pass 589 | try: 590 | adder('Random excursions variant test', 591 | randomexcursionsvarianttest(bits[:1000000])) 592 | except: 593 | pass 594 | try: 595 | adder('Linear complexity test', 596 | linearcomplexitytest(bits[:1000000], 10)) 597 | except: 598 | pass 599 | try: 600 | adder('Longest runs test', longestrunones10000(bits)) 601 | except: 602 | pass 603 | try: 604 | adder('Maurers universal statistic test', 605 | maurersuniversalstatistictest(bits[:387840], 6, 640)) 606 | except: 607 | pass 608 | try: 609 | adder('Random excursions test', randomexcursionstest(bits[:1000000])) 610 | except: 611 | pass 612 | return result 613 | -------------------------------------------------------------------------------- /db/hashes.json: -------------------------------------------------------------------------------- 1 | [ 2 | { 3 | "regex": "^[a-f0-9]{4}$", 4 | "matches": [ 5 | "CRC-16", 6 | "CRC-16-CCITT", 7 | "FCS-16" 8 | ] 9 | }, 10 | { 11 | "regex": "^[a-f0-9]{8}$", 12 | "matches": [ 13 | "Adler-32", 14 | "CRC-32B", 15 | "FCS-32", 16 | "GHash-32-3", 17 | "GHash-32-5", 18 | "FNV-132", 19 | "Fletcher-32", 20 | "Joaat", 21 | "ELF-32", 22 | "XOR-32" 23 | ] 24 | }, 25 | { 26 | "regex": "^[a-f0-9]{6}$", 27 | "matches": [ 28 | "CRC-24" 29 | ] 30 | }, 31 | { 32 | "regex": "^(\\$crc32\\$[a-f0-9]{8}.)?[a-f0-9]{8}$", 33 | "matches": [ 34 | "CRC-32" 35 | ] 36 | }, 37 | { 38 | "regex": "^\\+[a-z0-9\\/.]{12}$", 39 | "matches": [ 40 | "Eggdrop IRC Bot" 41 | ] 42 | }, 43 | { 44 | "regex": "^[a-z0-9\\/.]{13}$", 45 | "matches": [ 46 | "DES(Unix)", 47 | "Traditional DES", 48 | "DEScrypt" 49 | ] 50 | }, 51 | { 52 | "regex": "^[a-f0-9]{16}$", 53 | "matches": [ 54 | "MySQL323", 55 | "DES(Oracle)", 56 | "Half MD5", 57 | "Oracle 7-10g", 58 | "FNV-164", 59 | "CRC-64" 60 | ] 61 | }, 62 | { 63 | "regex": "^[a-z0-9\\/.]{16}$", 64 | "matches": [ 65 | "Cisco-PIX(MD5)" 66 | ] 67 | }, 68 | { 69 | "regex": "^\\([a-z0-9\\/+]{20}\\)$", 70 | "matches": [ 71 | "Lotus Notes/Domino 6" 72 | ] 73 | }, 74 | { 75 | "regex": "^_[a-z0-9\\/.]{19}$", 76 | "matches": [ 77 | "BSDi Crypt" 78 | ] 79 | }, 80 | { 81 | "regex": "^[a-f0-9]{24}$", 82 | "matches": [ 83 | "CRC-96(ZIP)" 84 | ] 85 | }, 86 | { 87 | "regex": "^[a-z0-9\\/.]{24}$", 88 | "matches": [ 89 | "Crypt16" 90 | ] 91 | }, 92 | { 93 | "regex": "^(\\$md2\\$)?[a-f0-9]{32}$", 94 | "matches": [ 95 | "MD2" 96 | ] 97 | }, 98 | { 99 | "regex": "^[a-f0-9]{32}(:.+)?$", 100 | "matches": [ 101 | "MD5", 102 | "MD4", 103 | "Double MD5", 104 | "LM", 105 | "RIPEMD-128", 106 | "Haval-128", 107 | "Tiger-128", 108 | "Skein-256(128)", 109 | "Skein-512(128)", 110 | "Lotus Notes/Domino 5", 111 | "Skype", 112 | "ZipMonster", 113 | "PrestaShop", 114 | "md5(md5(md5($pass)))", 115 | "md5(strtoupper(md5($pass)))", 116 | "md5(sha1($pass))", 117 | "md5($pass.$salt)", 118 | "md5($salt.$pass)", 119 | "md5(unicode($pass).$salt)", 120 | "md5($salt.unicode($pass))", 121 | "HMAC-MD5 (key = $pass)", 122 | "HMAC-MD5 (key = $salt)", 123 | "md5(md5($salt).$pass)", 124 | "md5($salt.md5($pass))", 125 | "md5($pass.md5($salt))", 126 | "md5($salt.$pass.$salt)", 127 | "md5(md5($pass).md5($salt))", 128 | "md5($salt.md5($salt.$pass))", 129 | "md5($salt.md5($pass.$salt))", 130 | "md5($username.0.$pass)" 131 | ] 132 | }, 133 | { 134 | "regex": "^(\\$snefru\\$)?[a-f0-9]{32}$", 135 | "matches": [ 136 | "Snefru-128" 137 | ] 138 | }, 139 | { 140 | "regex": "^(\\$NT\\$)?[a-f0-9]{32}$", 141 | "matches": [ 142 | "NTLM" 143 | ] 144 | }, 145 | { 146 | "regex": "^([^\\\\\\/:*?\"<>|]{1,20}:)?[a-f0-9]{32}(:[^\\\\\\/:*?\"<>|]{1,20})?$", 147 | "matches": [ 148 | "Domain Cached Credentials" 149 | ] 150 | }, 151 | { 152 | "regex": "^([^\\\\\\/:*?\"<>|]{1,20}:)?(\\$DCC2\\$10240#[^\\\\\\/:*?\"<>|]{1,20}#)?[a-f0-9]{32}$", 153 | "matches": [ 154 | "Domain Cached Credentials 2" 155 | ] 156 | }, 157 | { 158 | "regex": "^{SHA}[a-z0-9\\/+]{27}=$", 159 | "matches": [ 160 | "SHA-1(Base64)", 161 | "Netscape LDAP SHA" 162 | ] 163 | }, 164 | { 165 | "regex": "^\\$1\\$[a-z0-9\\/.]{0,8}\\$[a-z0-9\\/.]{22}(:.*)?$", 166 | "matches": [ 167 | "MD5 Crypt", 168 | "Cisco-IOS(MD5)", 169 | "FreeBSD MD5" 170 | ] 171 | }, 172 | { 173 | "regex": "^0x[a-f0-9]{32}$", 174 | "matches": [ 175 | "Lineage II C4" 176 | ] 177 | }, 178 | { 179 | "regex": "^\\$H\\$[a-z0-9\\/.]{31}$", 180 | "matches": [ 181 | "phpBB v3.x", 182 | "Wordpress v2.6.0/2.6.1", 183 | "PHPass' Portable Hash" 184 | ] 185 | }, 186 | { 187 | "regex": "^\\$P\\$[a-z0-9\\/.]{31}$", 188 | "matches": [ 189 | "Wordpress \u2265 v2.6.2", 190 | "Joomla \u2265 v2.5.18", 191 | "PHPass' Portable Hash" 192 | ] 193 | }, 194 | { 195 | "regex": "^[a-f0-9]{32}:[a-z0-9]{2}$", 196 | "matches": [ 197 | "osCommerce", 198 | "xt:Commerce" 199 | ] 200 | }, 201 | { 202 | "regex": "^\\$apr1\\$[a-z0-9\\/.]{0,8}\\$[a-z0-9\\/.]{22}$", 203 | "matches": [ 204 | "MD5(APR)", 205 | "Apache MD5", 206 | "md5apr1" 207 | ] 208 | }, 209 | { 210 | "regex": "^{smd5}[a-z0-9$\\/.]{31}$", 211 | "matches": [ 212 | "AIX(smd5)" 213 | ] 214 | }, 215 | { 216 | "regex": "^[a-f0-9]{32}:[a-f0-9]{32}$", 217 | "matches": [ 218 | "WebEdition CMS" 219 | ] 220 | }, 221 | { 222 | "regex": "^[a-f0-9]{32}:.{5}$", 223 | "matches": [ 224 | "IP.Board \u2265 v2+" 225 | ] 226 | }, 227 | { 228 | "regex": "^[a-f0-9]{32}:.{8}$", 229 | "matches": [ 230 | "MyBB \u2265 v1.2+" 231 | ] 232 | }, 233 | { 234 | "regex": "^[a-z0-9]{34}$", 235 | "matches": [ 236 | "CryptoCurrency(Adress)" 237 | ] 238 | }, 239 | { 240 | "regex": "^[a-f0-9]{40}(:.+)?$", 241 | "matches": [ 242 | "SHA-1", 243 | "Double SHA-1", 244 | "RIPEMD-160", 245 | "Haval-160", 246 | "Tiger-160", 247 | "HAS-160", 248 | "LinkedIn", 249 | "Skein-256(160)", 250 | "Skein-512(160)", 251 | "MangosWeb Enhanced CMS", 252 | "sha1(sha1(sha1($pass)))", 253 | "sha1(md5($pass))", 254 | "sha1($pass.$salt)", 255 | "sha1($salt.$pass)", 256 | "sha1(unicode($pass).$salt)", 257 | "sha1($salt.unicode($pass))", 258 | "HMAC-SHA1 (key = $pass)", 259 | "HMAC-SHA1 (key = $salt)", 260 | "sha1($salt.$pass.$salt)" 261 | ] 262 | }, 263 | { 264 | "regex": "^\\*[a-f0-9]{40}$", 265 | "matches": [ 266 | "MySQL5.x", 267 | "MySQL4.1" 268 | ] 269 | }, 270 | { 271 | "regex": "^[a-z0-9]{43}$", 272 | "matches": [ 273 | "Cisco-IOS(SHA-256)" 274 | ] 275 | }, 276 | { 277 | "regex": "^{SSHA}[a-z0-9\\/+]{38}==$", 278 | "matches": [ 279 | "SSHA-1(Base64)", 280 | "Netscape LDAP SSHA", 281 | "nsldaps" 282 | ] 283 | }, 284 | { 285 | "regex": "^[a-z0-9=]{47}$", 286 | "matches": [ 287 | "Fortigate(FortiOS)" 288 | ] 289 | }, 290 | { 291 | "regex": "^[a-f0-9]{48}$", 292 | "matches": [ 293 | "Haval-192", 294 | "Tiger-192", 295 | "SHA-1(Oracle)", 296 | "OSX v10.4", 297 | "OSX v10.5", 298 | "OSX v10.6" 299 | ] 300 | }, 301 | { 302 | "regex": "^[a-f0-9]{51}$", 303 | "matches": [ 304 | "Palshop CMS" 305 | ] 306 | }, 307 | { 308 | "regex": "^[a-z0-9]{51}$", 309 | "matches": [ 310 | "CryptoCurrency(PrivateKey)" 311 | ] 312 | }, 313 | { 314 | "regex": "^{ssha1}[0-9]{2}\\$[a-z0-9$\\/.]{44}$", 315 | "matches": [ 316 | "AIX(ssha1)" 317 | ] 318 | }, 319 | { 320 | "regex": "^0x0100[a-f0-9]{48}$", 321 | "matches": [ 322 | "MSSQL(2005)", 323 | "MSSQL(2008)" 324 | ] 325 | }, 326 | { 327 | "regex": "^(\\$md5,rounds=[0-9]+\\$|\\$md5\\$rounds=[0-9]+\\$|\\$md5\\$)[a-z0-9\\/.]{0,16}(\\$|\\$\\$)[a-z0-9\\/.]{22}$", 328 | "matches": [ 329 | "Sun MD5 Crypt" 330 | ] 331 | }, 332 | { 333 | "regex": "^[a-f0-9]{56}$", 334 | "matches": [ 335 | "SHA-224", 336 | "Haval-224", 337 | "SHA3-224", 338 | "Skein-256(224)", 339 | "Skein-512(224)" 340 | ] 341 | }, 342 | { 343 | "regex": "^(\\$2[axy]|\\$2)\\$[0-9]{2}\\$[a-z0-9\\/.]{53}$", 344 | "matches": [ 345 | "Blowfish(OpenBSD)", 346 | "Woltlab Burning Board 4.x", 347 | "bcrypt" 348 | ] 349 | }, 350 | { 351 | "regex": "^[a-f0-9]{40}:[a-f0-9]{16}$", 352 | "matches": [ 353 | "Android PIN" 354 | ] 355 | }, 356 | { 357 | "regex": "^(S:)?[a-f0-9]{40}(:)?[a-f0-9]{20}$", 358 | "matches": [ 359 | "Oracle 11g/12c" 360 | ] 361 | }, 362 | { 363 | "regex": "^\\$bcrypt-sha256\\$(2[axy]|2)\\,[0-9]+\\$[a-z0-9\\/.]{22}\\$[a-z0-9\\/.]{31}$", 364 | "matches": [ 365 | "bcrypt(SHA-256)" 366 | ] 367 | }, 368 | { 369 | "regex": "^[a-f0-9]{32}:.{3}$", 370 | "matches": [ 371 | "vBulletin < v3.8.5" 372 | ] 373 | }, 374 | { 375 | "regex": "^[a-f0-9]{32}:.{30}$", 376 | "matches": [ 377 | "vBulletin \u2265 v3.8.5" 378 | ] 379 | }, 380 | { 381 | "regex": "^(\\$snefru\\$)?[a-f0-9]{64}$", 382 | "matches": [ 383 | "Snefru-256" 384 | ] 385 | }, 386 | { 387 | "regex": "^[a-f0-9]{64}(:.+)?$", 388 | "matches": [ 389 | "SHA-256", 390 | "RIPEMD-256", 391 | "Haval-256", 392 | "GOST R 34.11-94", 393 | "GOST CryptoPro S-Box", 394 | "SHA3-256", 395 | "Skein-256", 396 | "Skein-512(256)", 397 | "Ventrilo", 398 | "sha256($pass.$salt)", 399 | "sha256($salt.$pass)", 400 | "sha256(unicode($pass).$salt)", 401 | "sha256($salt.unicode($pass))", 402 | "HMAC-SHA256 (key = $pass)", 403 | "HMAC-SHA256 (key = $salt)" 404 | ] 405 | }, 406 | { 407 | "regex": "^[a-f0-9]{32}:[a-z0-9]{32}$", 408 | "matches": [ 409 | "Joomla < v2.5.18" 410 | ] 411 | }, 412 | { 413 | "regex": "^[a-f-0-9]{32}:[a-f-0-9]{32}$", 414 | "matches": [ 415 | "SAM(LM_Hash:NT_Hash)" 416 | ] 417 | }, 418 | { 419 | "regex": "^(\\$chap\\$0\\*)?[a-f0-9]{32}[\\*:][a-f0-9]{32}(:[0-9]{2})?$", 420 | "matches": [ 421 | "MD5(Chap)", 422 | "iSCSI CHAP Authentication" 423 | ] 424 | }, 425 | { 426 | "regex": "^\\$episerver\\$\\*0\\*[a-z0-9\\/=+]+\\*[a-z0-9\\/=+]{27,28}$", 427 | "matches": [ 428 | "EPiServer 6.x < v4" 429 | ] 430 | }, 431 | { 432 | "regex": "^{ssha256}[0-9]{2}\\$[a-z0-9$\\/.]{60}$", 433 | "matches": [ 434 | "AIX(ssha256)" 435 | ] 436 | }, 437 | { 438 | "regex": "^[a-f0-9]{80}$", 439 | "matches": [ 440 | "RIPEMD-320" 441 | ] 442 | }, 443 | { 444 | "regex": "^\\$episerver\\$\\*1\\*[a-z0-9\\/=+]+\\*[a-z0-9\\/=+]{42,43}$", 445 | "matches": [ 446 | "EPiServer 6.x \u2265 v4" 447 | ] 448 | }, 449 | { 450 | "regex": "^0x0100[a-f0-9]{88}$", 451 | "matches": [ 452 | "MSSQL(2000)" 453 | ] 454 | }, 455 | { 456 | "regex": "^[a-f0-9]{96}$", 457 | "matches": [ 458 | "SHA-384", 459 | "SHA3-384", 460 | "Skein-512(384)", 461 | "Skein-1024(384)" 462 | ] 463 | }, 464 | { 465 | "regex": "^{SSHA512}[a-z0-9\\/+]{96}$", 466 | "matches": [ 467 | "SSHA-512(Base64)", 468 | "LDAP(SSHA-512)" 469 | ] 470 | }, 471 | { 472 | "regex": "^{ssha512}[0-9]{2}\\$[a-z0-9\\/.]{16,48}\\$[a-z0-9\\/.]{86}$", 473 | "matches": [ 474 | "AIX(ssha512)" 475 | ] 476 | }, 477 | { 478 | "regex": "^[a-f0-9]{128}(:.+)?$", 479 | "matches": [ 480 | "SHA-512", 481 | "Whirlpool", 482 | "Salsa10", 483 | "Salsa20", 484 | "SHA3-512", 485 | "Skein-512", 486 | "Skein-1024(512)", 487 | "sha512($pass.$salt)", 488 | "sha512($salt.$pass)", 489 | "sha512(unicode($pass).$salt)", 490 | "sha512($salt.unicode($pass))", 491 | "HMAC-SHA512 (key = $pass)", 492 | "HMAC-SHA512 (key = $salt)" 493 | ] 494 | }, 495 | { 496 | "regex": "^[a-f0-9]{136}$", 497 | "matches": [ 498 | "OSX v10.7" 499 | ] 500 | }, 501 | { 502 | "regex": "^0x0200[a-f0-9]{136}$", 503 | "matches": [ 504 | "MSSQL(2012)", 505 | "MSSQL(2014)" 506 | ] 507 | }, 508 | { 509 | "regex": "^\\$ml\\$[0-9]+\\$[a-f0-9]{64}\\$[a-f0-9]{128}$", 510 | "matches": [ 511 | "OSX v10.8", 512 | "OSX v10.9" 513 | ] 514 | }, 515 | { 516 | "regex": "^[a-f0-9]{256}$", 517 | "matches": [ 518 | "Skein-1024" 519 | ] 520 | }, 521 | { 522 | "regex": "^grub\\.pbkdf2\\.sha512\\.[0-9]+\\.([a-f0-9]{128,2048}\\.|[0-9]+\\.)?[a-f0-9]{128}$", 523 | "matches": [ 524 | "GRUB 2" 525 | ] 526 | }, 527 | { 528 | "regex": "^sha1\\$[a-z0-9]+\\$[a-f0-9]{40}$", 529 | "matches": [ 530 | "Django(SHA-1)" 531 | ] 532 | }, 533 | { 534 | "regex": "^[a-f0-9]{49}$", 535 | "matches": [ 536 | "Citrix Netscaler" 537 | ] 538 | }, 539 | { 540 | "regex": "^\\$S\\$[a-z0-9\\/.]{52}$", 541 | "matches": [ 542 | "Drupal > v7.x" 543 | ] 544 | }, 545 | { 546 | "regex": "^\\$5\\$(rounds=[0-9]+\\$)?[a-z0-9\\/.]{0,16}\\$[a-z0-9\\/.]{43}$", 547 | "matches": [ 548 | "SHA-256 Crypt" 549 | ] 550 | }, 551 | { 552 | "regex": "^0x[a-f0-9]{4}[a-f0-9]{16}[a-f0-9]{64}$", 553 | "matches": [ 554 | "Sybase ASE" 555 | ] 556 | }, 557 | { 558 | "regex": "^\\$6\\$(rounds=[0-9]+\\$)?[a-z0-9\\/.]{0,16}\\$[a-z0-9\\/.]{86}$", 559 | "matches": [ 560 | "SHA-512 Crypt" 561 | ] 562 | }, 563 | { 564 | "regex": "^\\$sha\\$[a-z0-9]{1,16}\\$([a-f0-9]{32}|[a-f0-9]{40}|[a-f0-9]{64}|[a-f0-9]{128}|[a-f0-9]{140})$", 565 | "matches": [ 566 | "Minecraft(AuthMe Reloaded)" 567 | ] 568 | }, 569 | { 570 | "regex": "^sha256\\$[a-z0-9]+\\$[a-f0-9]{64}$", 571 | "matches": [ 572 | "Django(SHA-256)" 573 | ] 574 | }, 575 | { 576 | "regex": "^sha384\\$[a-z0-9]+\\$[a-f0-9]{96}$", 577 | "matches": [ 578 | "Django(SHA-384)" 579 | ] 580 | }, 581 | { 582 | "regex": "^crypt1:[a-z0-9+=]{12}:[a-z0-9+=]{12}$", 583 | "matches": [ 584 | "Clavister Secure Gateway" 585 | ] 586 | }, 587 | { 588 | "regex": "^[a-f0-9]{112}$", 589 | "matches": [ 590 | "Cisco VPN Client(PCF-File)" 591 | ] 592 | }, 593 | { 594 | "regex": "^[a-f0-9]{1329}$", 595 | "matches": [ 596 | "Microsoft MSTSC(RDP-File)" 597 | ] 598 | }, 599 | { 600 | "regex": "^[^\\\\\\/:*?\"<>|]{1,20}[:]{2,3}([^\\\\\\/:*?\"<>|]{1,20})?:[a-f0-9]{48}:[a-f0-9]{48}:[a-f0-9]{16}$", 601 | "matches": [ 602 | "NetNTLMv1-VANILLA / NetNTLMv1+ESS" 603 | ] 604 | }, 605 | { 606 | "regex": "^([^\\\\\\/:*?\"<>|]{1,20}\\\\)?[^\\\\\\/:*?\"<>|]{1,20}[:]{2,3}([^\\\\\\/:*?\"<>|]{1,20}:)?[^\\\\\\/:*?\"<>|]{1,20}:[a-f0-9]{32}:[a-f0-9]+$", 607 | "matches": [ 608 | "NetNTLMv2" 609 | ] 610 | }, 611 | { 612 | "regex": "^\\$(krb5pa|mskrb5)\\$([0-9]{2})?\\$.+\\$[a-f0-9]{1,}$", 613 | "matches": [ 614 | "Kerberos 5 AS-REQ Pre-Auth" 615 | ] 616 | }, 617 | { 618 | "regex": "^\\$scram\\$[0-9]+\\$[a-z0-9\\/.]{16}\\$sha-1=[a-z0-9\\/.]{27},sha-256=[a-z0-9\\/.]{43},sha-512=[a-z0-9\\/.]{86}$", 619 | "matches": [ 620 | "SCRAM Hash" 621 | ] 622 | }, 623 | { 624 | "regex": "^[a-f0-9]{40}:[a-f0-9]{0,32}$", 625 | "matches": [ 626 | "Redmine Project Management Web App" 627 | ] 628 | }, 629 | { 630 | "regex": "^(.+)?\\$[a-f0-9]{16}$", 631 | "matches": [ 632 | "SAP CODVN B (BCODE)" 633 | ] 634 | }, 635 | { 636 | "regex": "^(.+)?\\$[a-f0-9]{40}$", 637 | "matches": [ 638 | "SAP CODVN F/G (PASSCODE)" 639 | ] 640 | }, 641 | { 642 | "regex": "^(.+\\$)?[a-z0-9\\/.+]{30}(:.+)?$", 643 | "matches": [ 644 | "Juniper Netscreen/SSG(ScreenOS)" 645 | ] 646 | }, 647 | { 648 | "regex": "^0x[a-f0-9]{60}\\s0x[a-f0-9]{40}$", 649 | "matches": [ 650 | "EPi" 651 | ] 652 | }, 653 | { 654 | "regex": "^[a-f0-9]{40}:[^*]{1,25}$", 655 | "matches": [ 656 | "SMF \u2265 v1.1" 657 | ] 658 | }, 659 | { 660 | "regex": "^(\\$wbb3\\$\\*1\\*)?[a-f0-9]{40}[:*][a-f0-9]{40}$", 661 | "matches": [ 662 | "Woltlab Burning Board 3.x" 663 | ] 664 | }, 665 | { 666 | "regex": "^[a-f0-9]{130}(:[a-f0-9]{40})?$", 667 | "matches": [ 668 | "IPMI2 RAKP HMAC-SHA1" 669 | ] 670 | }, 671 | { 672 | "regex": "^[a-f0-9]{32}:[0-9]+:[a-z0-9_.+-]+@[a-z0-9-]+\\.[a-z0-9-.]+$", 673 | "matches": [ 674 | "Lastpass" 675 | ] 676 | }, 677 | { 678 | "regex": "^[a-z0-9\\/.]{16}([:$].{1,})?$", 679 | "matches": [ 680 | "Cisco-ASA(MD5)" 681 | ] 682 | }, 683 | { 684 | "regex": "^\\$vnc\\$\\*[a-f0-9]{32}\\*[a-f0-9]{32}$", 685 | "matches": [ 686 | "VNC" 687 | ] 688 | }, 689 | { 690 | "regex": "^[a-z0-9]{32}(:([a-z0-9-]+\\.)?[a-z0-9-.]+\\.[a-z]{2,7}:.+:[0-9]+)?$", 691 | "matches": [ 692 | "DNSSEC(NSEC3)" 693 | ] 694 | }, 695 | { 696 | "regex": "^(user-.+:)?\\$racf\\$\\*.+\\*[a-f0-9]{16}$", 697 | "matches": [ 698 | "RACF" 699 | ] 700 | }, 701 | { 702 | "regex": "^\\$3\\$\\$[a-f0-9]{32}$", 703 | "matches": [ 704 | "NTHash(FreeBSD Variant)" 705 | ] 706 | }, 707 | { 708 | "regex": "^\\$sha1\\$[0-9]+\\$[a-z0-9\\/.]{0,64}\\$[a-z0-9\\/.]{28}$", 709 | "matches": [ 710 | "SHA-1 Crypt" 711 | ] 712 | }, 713 | { 714 | "regex": "^[a-f0-9]{70}$", 715 | "matches": [ 716 | "hMailServer" 717 | ] 718 | }, 719 | { 720 | "regex": "^[:\\$][AB][:\\$]([a-f0-9]{1,8}[:\\$])?[a-f0-9]{32}$", 721 | "matches": [ 722 | "MediaWiki" 723 | ] 724 | }, 725 | { 726 | "regex": "^[a-f0-9]{140}$", 727 | "matches": [ 728 | "Minecraft(xAuth)" 729 | ] 730 | }, 731 | { 732 | "regex": "^\\$pbkdf2(-sha1)?\\$[0-9]+\\$[a-z0-9\\/.]+\\$[a-z0-9\\/.]{27}$", 733 | "matches": [ 734 | "PBKDF2-SHA1(Generic)" 735 | ] 736 | }, 737 | { 738 | "regex": "^\\$pbkdf2-sha256\\$[0-9]+\\$[a-z0-9\\/.]+\\$[a-z0-9\\/.]{43}$", 739 | "matches": [ 740 | "PBKDF2-SHA256(Generic)" 741 | ] 742 | }, 743 | { 744 | "regex": "^\\$pbkdf2-sha512\\$[0-9]+\\$[a-z0-9\\/.]+\\$[a-z0-9\\/.]{86}$", 745 | "matches": [ 746 | "PBKDF2-SHA512(Generic)" 747 | ] 748 | }, 749 | { 750 | "regex": "^\\$p5k2\\$[0-9]+\\$[a-z0-9\\/+=-]+\\$[a-z0-9\\/+-]{27}=$", 751 | "matches": [ 752 | "PBKDF2(Cryptacular)" 753 | ] 754 | }, 755 | { 756 | "regex": "^\\$p5k2\\$[0-9]+\\$[a-z0-9\\/.]+\\$[a-z0-9\\/.]{32}$", 757 | "matches": [ 758 | "PBKDF2(Dwayne Litzenberger)" 759 | ] 760 | }, 761 | { 762 | "regex": "^{FSHP[0123]\\|[0-9]+\\|[0-9]+}[a-z0-9\\/+=]+$", 763 | "matches": [ 764 | "Fairly Secure Hashed Password" 765 | ] 766 | }, 767 | { 768 | "regex": "^\\$PHPS\\$.+\\$[a-f0-9]{32}$", 769 | "matches": [ 770 | "PHPS" 771 | ] 772 | }, 773 | { 774 | "regex": "^[0-9]{4}:[a-f0-9]{16}:[a-f0-9]{2080}$", 775 | "matches": [ 776 | "1Password(Agile Keychain)" 777 | ] 778 | }, 779 | { 780 | "regex": "^[a-f0-9]{64}:[a-f0-9]{32}:[0-9]{5}:[a-f0-9]{608}$", 781 | "matches": [ 782 | "1Password(Cloud Keychain)" 783 | ] 784 | }, 785 | { 786 | "regex": "^[a-f0-9]{256}:[a-f0-9]{256}:[a-f0-9]{16}:[a-f0-9]{16}:[a-f0-9]{320}:[a-f0-9]{16}:[a-f0-9]{40}:[a-f0-9]{40}:[a-f0-9]{32}$", 787 | "matches": [ 788 | "IKE-PSK MD5" 789 | ] 790 | }, 791 | { 792 | "regex": "^[a-f0-9]{256}:[a-f0-9]{256}:[a-f0-9]{16}:[a-f0-9]{16}:[a-f0-9]{320}:[a-f0-9]{16}:[a-f0-9]{40}:[a-f0-9]{40}:[a-f0-9]{40}$", 793 | "matches": [ 794 | "IKE-PSK SHA1" 795 | ] 796 | }, 797 | { 798 | "regex": "^[a-z0-9\\/+]{27}=$", 799 | "matches": [ 800 | "PeopleSoft" 801 | ] 802 | }, 803 | { 804 | "regex": "^crypt\\$[a-f0-9]{5}\\$[a-z0-9\\/.]{13}$", 805 | "matches": [ 806 | "Django(DES Crypt Wrapper)" 807 | ] 808 | }, 809 | { 810 | "regex": "^(\\$django\\$\\*1\\*)?pbkdf2_sha256\\$[0-9]+\\$[a-z0-9]+\\$[a-z0-9\\/+=]{44}$", 811 | "matches": [ 812 | "Django(PBKDF2-HMAC-SHA256)" 813 | ] 814 | }, 815 | { 816 | "regex": "^pbkdf2_sha1\\$[0-9]+\\$[a-z0-9]+\\$[a-z0-9\\/+=]{28}$", 817 | "matches": [ 818 | "Django(PBKDF2-HMAC-SHA1)" 819 | ] 820 | }, 821 | { 822 | "regex": "^bcrypt(\\$2[axy]|\\$2)\\$[0-9]{2}\\$[a-z0-9\\/.]{53}$", 823 | "matches": [ 824 | "Django(bcrypt)" 825 | ] 826 | }, 827 | { 828 | "regex": "^md5\\$[a-f0-9]+\\$[a-f0-9]{32}$", 829 | "matches": [ 830 | "Django(MD5)" 831 | ] 832 | }, 833 | { 834 | "regex": "^\\{PKCS5S2\\}[a-z0-9\\/+]{64}$", 835 | "matches": [ 836 | "PBKDF2(Atlassian)" 837 | ] 838 | }, 839 | { 840 | "regex": "^md5[a-f0-9]{32}$", 841 | "matches": [ 842 | "PostgreSQL MD5" 843 | ] 844 | }, 845 | { 846 | "regex": "^\\([a-z0-9\\/+]{49}\\)$", 847 | "matches": [ 848 | "Lotus Notes/Domino 8" 849 | ] 850 | }, 851 | { 852 | "regex": "^SCRYPT:[0-9]{1,}:[0-9]{1}:[0-9]{1}:[a-z0-9:\\/+=]{1,}$", 853 | "matches": [ 854 | "scrypt" 855 | ] 856 | }, 857 | { 858 | "regex": "^\\$8\\$[a-z0-9\\/.]{14}\\$[a-z0-9\\/.]{43}$", 859 | "matches": [ 860 | "Cisco Type 8" 861 | ] 862 | }, 863 | { 864 | "regex": "^\\$9\\$[a-z0-9\\/.]{14}\\$[a-z0-9\\/.]{43}$", 865 | "matches": [ 866 | "Cisco Type 9" 867 | ] 868 | }, 869 | { 870 | "regex": "^\\$office\\$\\*2007\\*[0-9]{2}\\*[0-9]{3}\\*[0-9]{2}\\*[a-z0-9]{32}\\*[a-z0-9]{32}\\*[a-z0-9]{40}$", 871 | "matches": [ 872 | "Microsoft Office 2007" 873 | ] 874 | }, 875 | { 876 | "regex": "^\\$office\\$\\*2010\\*[0-9]{6}\\*[0-9]{3}\\*[0-9]{2}\\*[a-z0-9]{32}\\*[a-z0-9]{32}\\*[a-z0-9]{64}$", 877 | "matches": [ 878 | "Microsoft Office 2010" 879 | ] 880 | }, 881 | { 882 | "regex": "^\\$office\\$\\*2013\\*[0-9]{6}\\*[0-9]{3}\\*[0-9]{2}\\*[a-z0-9]{32}\\*[a-z0-9]{32}\\*[a-z0-9]{64}$", 883 | "matches": [ 884 | "Microsoft Office 2013" 885 | ] 886 | }, 887 | { 888 | "regex": "^\\$fde\\$[0-9]{2}\\$[a-f0-9]{32}\\$[0-9]{2}\\$[a-f0-9]{32}\\$[a-f0-9]{3072}$", 889 | "matches": [ 890 | "Android FDE \u2264 4.3" 891 | ] 892 | }, 893 | { 894 | "regex": "^\\$oldoffice\\$[01]\\*[a-f0-9]{32}\\*[a-f0-9]{32}\\*[a-f0-9]{32}$", 895 | "matches": [ 896 | "Microsoft Office \u2264 2003 (MD5+RC4)", 897 | "Microsoft Office \u2264 2003 (MD5+RC4) collider-mode #1", 898 | "Microsoft Office \u2264 2003 (MD5+RC4) collider-mode #2" 899 | ] 900 | }, 901 | { 902 | "regex": "^\\$oldoffice\\$[34]\\*[a-f0-9]{32}\\*[a-f0-9]{32}\\*[a-f0-9]{40}$", 903 | "matches": [ 904 | "Microsoft Office \u2264 2003 (SHA1+RC4)", 905 | "Microsoft Office \u2264 2003 (SHA1+RC4) collider-mode #1", 906 | "Microsoft Office \u2264 2003 (SHA1+RC4) collider-mode #2" 907 | ] 908 | }, 909 | { 910 | "regex": "^(\\$radmin2\\$)?[a-f0-9]{32}$", 911 | "matches": [ 912 | "RAdmin v2.x" 913 | ] 914 | }, 915 | { 916 | "regex": "^{x-issha,\\s[0-9]{4}}[a-z0-9\\/+=]+$", 917 | "matches": [ 918 | "SAP CODVN H (PWDSALTEDHASH) iSSHA-1" 919 | ] 920 | }, 921 | { 922 | "regex": "^\\$cram_md5\\$[a-z0-9\\/+=-]+\\$[a-z0-9\\/+=-]{52}$", 923 | "matches": [ 924 | "CRAM-MD5" 925 | ] 926 | }, 927 | { 928 | "regex": "^[a-f0-9]{16}:2:4:[a-f0-9]{32}$", 929 | "matches": [ 930 | "SipHash" 931 | ] 932 | }, 933 | { 934 | "regex": "^[a-f0-9]{4,}$", 935 | "matches": [ 936 | "Cisco Type 7" 937 | ] 938 | }, 939 | { 940 | "regex": "^[a-z0-9\\/.]{13,}$", 941 | "matches": [ 942 | "BigCrypt" 943 | ] 944 | }, 945 | { 946 | "regex": "^(\\$cisco4\\$)?[a-z0-9\\/.]{43}$", 947 | "matches": [ 948 | "Cisco Type 4" 949 | ] 950 | }, 951 | { 952 | "regex": "^bcrypt_sha256\\$\\$(2[axy]|2)\\$[0-9]+\\$[a-z0-9\\/.]{53}$", 953 | "matches": [ 954 | "Django(bcrypt-SHA256)" 955 | ] 956 | }, 957 | { 958 | "regex": "^\\$postgres\\$.[^\\*]+[*:][a-f0-9]{1,32}[*:][a-f0-9]{32}$", 959 | "matches": [ 960 | "PostgreSQL Challenge-Response Authentication (MD5)" 961 | ] 962 | }, 963 | { 964 | "regex": "^\\$siemens-s7\\$[0-9]{1}\\$[a-f0-9]{40}\\$[a-f0-9]{40}$", 965 | "matches": [ 966 | "Siemens-S7" 967 | ] 968 | }, 969 | { 970 | "regex": "^(\\$pst\\$)?[a-f0-9]{8}$", 971 | "matches": [ 972 | "Microsoft Outlook PST" 973 | ] 974 | }, 975 | { 976 | "regex": "^sha256[:$][0-9]+[:$][a-z0-9\\/+]+[:$][a-z0-9\\/+]{32,128}$", 977 | "matches": [ 978 | "PBKDF2-HMAC-SHA256(PHP)" 979 | ] 980 | }, 981 | { 982 | "regex": "^(\\$dahua\\$)?[a-z0-9]{8}$", 983 | "matches": [ 984 | "Dahua" 985 | ] 986 | }, 987 | { 988 | "regex": "^\\$mysqlna\\$[a-f0-9]{40}[:*][a-f0-9]{40}$", 989 | "matches": [ 990 | "MySQL Challenge-Response Authentication (SHA1)" 991 | ] 992 | }, 993 | { 994 | "regex": "^\\$pdf\\$[24]\\*[34]\\*128\\*[0-9-]{1,5}\\*1\\*(16|32)\\*[a-f0-9]{32,64}\\*32\\*[a-f0-9]{64}\\*(8|16|32)\\*[a-f0-9]{16,64}$", 995 | "matches": [ 996 | "PDF 1.4 - 1.6 (Acrobat 5 - 8)" 997 | ] 998 | } 999 | ] 1000 | 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Patents. 472 | 473 | A "contributor" is a copyright holder who authorizes use under this 474 | License of the Program or a work on which the Program is based. The 475 | work thus licensed is called the contributor's "contributor version". 476 | 477 | A contributor's "essential patent claims" are all patent claims 478 | owned or controlled by the contributor, whether already acquired or 479 | hereafter acquired, that would be infringed by some manner, permitted 480 | by this License, of making, using, or selling its contributor version, 481 | but do not include claims that would be infringed only as a 482 | consequence of further modification of the contributor version. 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You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | --------------------------------------------------------------------------------