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前言

羊城杯题目复现：
第一题 知识点 ：DES算法 ： 链接：Ez加密器
第二题 知识点 ：动态调试 ： 链接：CSGO

这一题的查缺补漏：
虚假控制流的去除（还没学习）；
MD5加密算法的原理：链接：MD5加密算法原理
python 字典的使用刚学点

题目分析and复习过程

ida打开，到main函数里面发现都是虚假控制流的混淆，还不知道怎么去除，先Shift + F12 搜索字符串

看到success的同时还看到下面，一大堆相同长度的十六进制字符串，想到哈希hash

用插件Findcrypt看看

可以看到的确是使用了MD5加密算法，同时看看这个md5是被谁调用了，可以看到调用了俩次。

修改一下名字，依次查看下，

第一次调用是在main 函数的 第 112 行

第二次调用是在sub_402370函数的第61行

而sub_402370函数是main函数的最后一行，sub_402370函数执行的最后就是比较并且输出success或error。

这里可以猜测 就是 进行了 俩次md5 的 加密。

exp

编写exp的思路就是，对单字节进行俩次md5加密，然后和enc进行验证，如果验证通过就将字节存入字典中。

import hashlib
import itertoolsenc = ['14d89c38cd0fb23a14be2798d449c182', 'a94837b18f8f43f29448b40a6e7386ba', 'af85d512594fc84a5c65ec9970956ea5','af85d512594fc84a5c65ec9970956ea5', '10e21da237a4a1491e769df6f4c3b419', 'a705e8280082f93f07e3486636f3827a','297e7ca127d2eef674c119331fe30dff', 'b5d2099e49bdb07b8176dff5e23b3c14', '83be264eb452fcf0a1c322f2c7cbf987','a94837b18f8f43f29448b40a6e7386ba', '71b0438bf46aa26928c7f5a371d619e1', 'a705e8280082f93f07e3486636f3827a','ac49073a7165f41c57eb2c1806a7092e', 'a94837b18f8f43f29448b40a6e7386ba', 'af85d512594fc84a5c65ec9970956ea5','ed108f6919ebadc8e809f8b86ef40b05', '10e21da237a4a1491e769df6f4c3b419', '3cfd436919bc3107d68b912ee647f341','a705e8280082f93f07e3486636f3827a', '65c162f7c43612ba1bdf4d0f2912bbc0', '10e21da237a4a1491e769df6f4c3b419','a705e8280082f93f07e3486636f3827a', '3cfd436919bc3107d68b912ee647f341', '557460d317ae874c924e9be336a83cbe','a705e8280082f93f07e3486636f3827a', '9203d8a26e241e63e4b35b3527440998', '10e21da237a4a1491e769df6f4c3b419','f91b2663febba8a884487f7de5e1d249', 'a705e8280082f93f07e3486636f3827a', 'd7afde3e7059cd0a0fe09eec4b0008cd','488c428cd4a8d916deee7c1613c8b2fd', '39abe4bca904bca5a11121955a2996bf', 'a705e8280082f93f07e3486636f3827a','3cfd436919bc3107d68b912ee647f341', '39abe4bca904bca5a11121955a2996bf', '4e44f1ac85cd60e3caa56bfd4afb675e','45cf8ddfae1d78741d8f1c622689e4af', '3cfd436919bc3107d68b912ee647f341', '39abe4bca904bca5a11121955a2996bf','4e44f1ac85cd60e3caa56bfd4afb675e', '37327bb06c83cb29cefde1963ea588aa', 'a705e8280082f93f07e3486636f3827a','23e65a679105b85c5dc7034fded4fb5f', '10e21da237a4a1491e769df6f4c3b419', '71b0438bf46aa26928c7f5a371d619e1','af85d512594fc84a5c65ec9970956ea5', '39abe4bca904bca5a11121955a2996bf']# 生成所有ASCII可见字符
characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 !"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~'
combinations = itertools.product(characters, repeat=1)
# 创建一个字典以存储已知哈希值和对应的原始字符
hashes_dict = {hash_val: None for hash_val in enc}
# 遍历所有组合，计算哈希值并与已知的哈希值进行比较
for combo in combinations:plaintext = ''.join(combo)hash0 = hashlib.md5(hashlib.md5(plaintext.encode()).hexdigest().encode()).hexdigest()if hash0 in enc:hashes_dict[hash0] = plaintext
flag = ''
for i in enc:flag += hashes_dict[i]print(f"Original Text for Hash '{i}': {hashes_dict[i]}")
print(flag)"""
Original Text for Hash '14d89c38cd0fb23a14be2798d449c182': H
Original Text for Hash 'a94837b18f8f43f29448b40a6e7386ba': e
Original Text for Hash 'af85d512594fc84a5c65ec9970956ea5': l
Original Text for Hash 'af85d512594fc84a5c65ec9970956ea5': l
Original Text for Hash '10e21da237a4a1491e769df6f4c3b419': o
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '297e7ca127d2eef674c119331fe30dff': C
Original Text for Hash 'b5d2099e49bdb07b8176dff5e23b3c14': t
Original Text for Hash '83be264eb452fcf0a1c322f2c7cbf987': f
Original Text for Hash 'a94837b18f8f43f29448b40a6e7386ba': e
Original Text for Hash '71b0438bf46aa26928c7f5a371d619e1': r
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash 'ac49073a7165f41c57eb2c1806a7092e': V
Original Text for Hash 'a94837b18f8f43f29448b40a6e7386ba': e
Original Text for Hash 'af85d512594fc84a5c65ec9970956ea5': l
Original Text for Hash 'ed108f6919ebadc8e809f8b86ef40b05': c
Original Text for Hash '10e21da237a4a1491e769df6f4c3b419': o
Original Text for Hash '3cfd436919bc3107d68b912ee647f341': m
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '65c162f7c43612ba1bdf4d0f2912bbc0': T
Original Text for Hash '10e21da237a4a1491e769df6f4c3b419': o
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '3cfd436919bc3107d68b912ee647f341': m
Original Text for Hash '557460d317ae874c924e9be336a83cbe': y
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '9203d8a26e241e63e4b35b3527440998': M
Original Text for Hash '10e21da237a4a1491e769df6f4c3b419': o
Original Text for Hash 'f91b2663febba8a884487f7de5e1d249': v
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash 'd7afde3e7059cd0a0fe09eec4b0008cd': a
Original Text for Hash '488c428cd4a8d916deee7c1613c8b2fd': n
Original Text for Hash '39abe4bca904bca5a11121955a2996bf': d
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '3cfd436919bc3107d68b912ee647f341': m
Original Text for Hash '39abe4bca904bca5a11121955a2996bf': d
Original Text for Hash '4e44f1ac85cd60e3caa56bfd4afb675e': 5
Original Text for Hash '45cf8ddfae1d78741d8f1c622689e4af': (
Original Text for Hash '3cfd436919bc3107d68b912ee647f341': m
Original Text for Hash '39abe4bca904bca5a11121955a2996bf': d
Original Text for Hash '4e44f1ac85cd60e3caa56bfd4afb675e': 5
Original Text for Hash '37327bb06c83cb29cefde1963ea588aa': )
Original Text for Hash 'a705e8280082f93f07e3486636f3827a': _
Original Text for Hash '23e65a679105b85c5dc7034fded4fb5f': w
Original Text for Hash '10e21da237a4a1491e769df6f4c3b419': o
Original Text for Hash '71b0438bf46aa26928c7f5a371d619e1': r
Original Text for Hash 'af85d512594fc84a5c65ec9970956ea5': l
Original Text for Hash '39abe4bca904bca5a11121955a2996bf': d
Hello_Ctfer_Velcom_To_my_Mov_and_md5(md5)_world
"""