Python多处理密码破解器

Question

我已经在业余时间学习 Python 了一小段时间，我给自己设定了一个挑战，为一项非常具体的任务构建密码破解程序，它是测试我的 ADSL 路由器的安全性有多有效（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 wordlist 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，所以我想我可以为其添加一些多处理功能以加快速度 - 使用各种不同的说明和指南，我未能最终获得成功的结果！ （虽然感觉我很亲近）

请有人将我指向“多核 python 密码破解的白痴指南”或帮助我修改我的代码以适应。

附：我最初的计划是使用 opencl 或 cuda ......但我很快就知道我是多么的超出我的深度！

Answer 1

我为您制作了一个示例，应该相对容易添加到您的代码中。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，我们可以将它们放入多处理器模块中。我通过列出一个包含“开始”和“结束”点的字典来做到这一点。接下来，我将这些参数传递给apply_async，后者将依次运行pwd_find 函数。这是您要添加 for word in wordlist: 循环的函数，但有一个起点和终点（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 后跟 p.join 以终止处理器。

如果您想进一步了解多处理器模块，请go here 了解更多信息。

我希望这可以帮助您，或者至少可以让您更好地了解多处理！