Python 多处理密码破解器

Python Multiprocessing password cracker

我一直在利用业余时间学习 Python 现在有一小段时间,我给自己设定了一个挑战,要为一个非常具体的任务构建一个密码破解器,这是为了测试安全性的有效性在我的 ADSL 路由器上(不是很)——使用 Wireshark 我可以很清楚地看到它是如何通过 http 散列密码的,我开发了一些代码来执行单词列表攻击。 (如果您认为我的代码写得不好,我深表歉意 - 您可能是对的!)。

#!/usr/bin/env python

import hashlib, os, time, math
from hashlib import md5

def screen_clear():
    if os.name == 'nt':
        return os.system('cls')
    else:
        return os.system('clear')

screen_clear()

print ""
print "Welcome to the Technicolor md5 cracker"
print ""

user = raw_input("Username: ")
print ""
nonce = raw_input("Nonce: ")
print ""
hash = raw_input("Hash: ")
print ""
file = raw_input("Wordlist: ")
print ""

realm = "Technicolor Gateway"
qop = "auth"
uri = "/login.lp"

HA2 = md5("GET" + ":" + uri).hexdigest()

wordlist = open(file, 'r')

time1 = time.time()

for word in wordlist:
    pwd = word.replace("\n","") 
    HA1 = md5(user + ":" + realm + ":" + pwd).hexdigest()
    hidepw = md5(HA1 + ":" + nonce +":" + "00000001" + ":" + "xyz" + ":" + qop + ":" + HA2).hexdigest()
    if hidepw == hash:
        screen_clear()
        time2 = time.time()
        timetotal = math.ceil(time2 - time1)
        print pwd + " = " + hidepw + " (in " + str(timetotal) + " seconds)"
        print ""
        end = raw_input("hit enter to exit")
        exit()

wordlist.close()

screen_clear()
time2 = time.time()
totaltime = math.ceil(time2 - time1)
print "Sorry, out of " + str(tested) + " passwords tested, your password was not found (in " + str(totaltime) + " seconds)"
print ""
end = raw_input("hit enter to exit")
screen_clear()
exit()

这很好用,但让我想要更多,所以我想我可以给它添加一些多处理能力来加快速度——使用各种不同的说明和指南,我未能获得成功的结果! (虽然感觉很亲近)

请有人指点我 "An idiots guide to multicore python password cracking" 或帮助我修改我的代码以适应。

P.S。我最初的计划是使用 opencl 或 cuda...但我很快就知道我是多么的不知所措!

我已经为您制作了一个示例,添加到您的代码中应该相对容易。下面是它的工作原理;首先,我们需要将 wordlist 分解为可管理的块,我们可以将其放入多处理器模块中。我通过制作一个包含 'starting' 和 'stopping' 点的字典的列表来做到这一点。接下来,我将这些参数传递给 apply_async,后者又将 运行 传递给 pwd_find 函数。这是您想要添加 for word in wordlist: 循环的函数,但带有起点和终点(参见下面的代码)。

from multiprocessing import Pool
import math
import time

cores = 4  # Number of cores to use
wordlist = []

for i in range(127):  # Remove this for your own word list.
    wordlist.append(str(i))  # Creates a large 'word' list for testing.

def pwd_find(start, stop):

    for word in range(start, stop):
        print(wordlist[word])
        time.sleep(0.1)  # Slows things down so it's easier to see that your system is using more than one core.
        ### Add your code here... ###


break_points = []  # List that will have start and stopping points
for i in range(cores):  # Creates start and stopping points based on length of word list
    break_points.append({"start":math.ceil(len(wordlist)/cores * i), "stop":math.ceil(len(wordlist)/cores * (i + 1))})

if __name__ == '__main__':  # Added this because the multiprocessor module acts funny without it.

    p = Pool(cores)  # Number of processors to utilize.
    for i in break_points:  # Cycles though the breakpoints list created above.
        print(i)  # shows the start and stop points.
        a = p.apply_async(pwd_find, kwds=i, args=tuple())  # This will start the separate processes.
    print("Done!")
    p.close()
    p.join()

如果您的代码找到匹配项,请添加 p.terminate,然后添加 p.join 以终止处理器。

如果您想更多地了解多处理器模块,go here了解更多。

我希望这对您有所帮助,或者至少能让您更好地了解多处理!