Question

我一直在闲暇时间学习Python一小段时间，我为自己设置了一个挑战，为一项非常具体的任务构建一个密码破解程序，它是为了测试我的ADSL路由器的安全性有多高效（不是很好） - 使用Wireshark我可以很清楚地看到它是如何通过http扫描密码的，我开发了一些代码来执行wordlist攻击。（如果你认为我的代码编写得很糟，我很抱歉 - 你可能是正确的！）。

#!/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，所以我想我可以添加一些多处理功能来加快速度 - 使用各种不同的指令和指南我最终没有成功结果！（虽然感觉像我非常接近）

请有人指着我指向＆＃34;白痴指导多核python密码破解＆＃34;或者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 ...但我很快就知道了我的深度！

Answer 1

我为你做了一个例子，它应该相对容易添加到你的代码中。下面是它的工作原理;首先，我们需要将wordlist制成可管理的块，然后我们可以将其放入多处理器模块中。我通过制作一个包含“开始”和“停止”点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以终止处理程序。

如果您想更多地了解多处理器模块，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过程！

Python多处理密码破解程序

1 个答案: