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#coding:utf-8

import base64

from Crypto.Cipher import AES

import binascii

import json #注:python3 安装 Crypto 是 pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple pycryptodome

#解密

def aes_decode(data, key):

try:

aes = AES.new(str.encode(key), AES.MODE_ECB) # 初始化加密器

decrypted_text = aes.decrypt(data) # 解密

decrypted_text = decrypted_text[:-(decrypted_text[-1])] # 去除多余补位

except Exception as e:

print(e)

return decrypted_text

if __name__ == '__main__':

key = 'bff6f68a478bdab2' # 密钥长度必须为16、24或32位,分别对应AES-128、AES-192和AES-256

data = "qccHsR3LHUqoekGRksG41KP2zZzsSlCH/NV1R0cuUCD4/S7GiZmnrWnHUbHq8d1MODKpsH1cYkfVhnKfdxew9EKH2M/JDzuE7aMM0o30iZaYaeaADiLRv+pgIlJAM4RUazUawydGhb6qRtP9Cny5RmBY82kOir5qq/90wp7Og1Zkq8ZLna6sf0SlxXNDKRENyGD13aUe2gQOb2Q7b6HxwCU3gBx9ocU2WJ1FsdClH7j8z3KZPiwE6gBd4XC2I9dAYz07+JKWT7gWjl67exyrZeE+2B/6NTg1ctyuwMF8yZJWIv6MXgF3Ip/eUKdB/xhimt3gwR/g1dVt6EJnn1vrV6ArNNh9wSaznsXuuoz9mEdb3mIb3oUOxMM8Q6l3Y95KFqP1YY4v9x57E8B13coEjR/6UFXVaz/uUDcCUmD8h119s2KEDBAq6ciKQRbEpDIsPJwBNo8UD+GOwBSQwiwfSdSkr4qOSrc2IGcohxYp9pPeH92IFeOK9sgPAnIKLmeydZ9hsdMM1WY2iGFKCeT2ttHN1N/rI/TQmag+AxRdHsKA0DnQtq0ab9wa1gBDMr9JBQp1SODyUmmsIKl5ZVeGXVBJxiZ0pIEUsDrEBzPv/7yQJLfJx0kb3GRX4AHrrfdcUttpaH/s9OtPu0xoeTl0PviJ8wvGCoDcttPtdU6EbvROuQ8OsBR7+Hcl5iT4Utv1LeV5+WPwkuN3wCfkH7Dqs012Tu1JKLygqqyDztZSxEzwmg7Xfxl2s1H/rA2qoLwL+WB1wUT63WhCwgFOt48ocbtvO7uRA7T1Yrb/e0loq6Z0rWYBomIu1qSZVjX2uJprs0ogAQav7JtZv4RNPwRVBjga08eewCTixskV4/gw9RCkgS+K81JWo8h71Yxo9P3l+liHzJIpu/3C9PnqAJTZOJ2yulODa2qDFeZoZfNBsxjhWJC9BxjXytrZLW6aO2gbOt75XeT4/Q6fTxLlIdzlqZ1NIsAgLRkEvyOkF+VKjP8myx9VhT8SbLuPXa6Q0w9X7rl8LFssvrVvGR4dOOcSk6wviRU6Xi/XvmrU6g7C1L1rNRrDJ0aFvqpG0/0KfLlGwbsKkcInXh6d6mlGGR2lME0jbkrt4y3z75IxLBIwzXcs+hSqTAsrPuxnF2RAadTBUuw+y3WmZSFgmdilDwx7w4S/XzeAqRqGK7oW4hR26StLLVxiDxkS+T9LGz31NYcRmkPdtvVF5cuU5b7eyW+oS7WSldOFjwiQxwJlbtIw+er513YFT0A3zwL1ZE8fht9kHOiZ8U4bGFv0MV2bTJo2+HhTlWnBBjoyXRuQoYno5GCDtDAHLS5vdlLWL5e0sTDg07GnaPByQS19GaiizFDvlkP2heuO16NTUS3d1nEKdhm7bzu7kQO09WK2/3tJaKumYPAhasncT6au5rVdB8CJZBr2ok5WIODHkcdDm6Vq8UYLoorqMuNoFKd2w/RgGUoTyZgry4vGo21DghZ6K6qJyMiQsbNsEsDQgmhqJiYPD/RXJdM706J5R7kGo+JF6MDJxsFF/IzCmutJUqHMHTM6flr8Bta5OyUFsRuc62lUvQaYczd9RQiViMX7UprwjAKm2rnXJ34JOohBQhwypesFMK/13etwppz6HZCeX4Al5ZI45j1VgD6OQuzHbugYb6XhIQikNk5JRaEFsStIcDFDh+cdARGYDqpc1RvV3qmyrW3WI8vBmnbEP6JLqOfsuMNSbVrWKnugNPFfr9dCGyyROpcFhPtvJeK58fc/URYw7wlfOMZVT40PyXZ5s50dPxVK9pJ+w/0oL+NxcCgSGa9ejWSecKWEAU0GCVLkg3hMmHZ22wXFlIROX8AiCWqcAI1WMn/EoFSpOMcM1Emk6ppr/21dJ32dVnUpncim4zEw/d9iMgKSW9XeLcJyWR5brRpqNfTRuDh2NfeYEI1gbILoSYbSNHC7cs2xmhggvUtTdfoNStwnG9+qmg94+02n0OMbnCaK2UXyImoJ1QvsyEOzSjNcUmqKw0iVhZlQ12bEecpBeNIjKlhEdqDOSNNJSvOtOUAnX3bx3JcFQ6uRN08iIuInVGLo0oItBI26uaqXdcSc4Cjl2IG4BFt80k1VY6VnGkS5b239PQQe8WkzE6vz7kiB0oe1Wkm7VDBKFq04COUqxn/ZjeTXjMr0EI7lzR9HP71naeE2Hx+V7XiLL7XjwPXO0EwTkfvvR+NkAZWQTdC84xYgu1FTKMadZIbJ/nb8CwC7YJaG7201movaRIjIexzhUymQpC1ZGkMw5bD8nvVtaW2sKiCCm+1gufKLu7X73MXDGqbWAhlKwUKb14mBsBYHT//Dowmnf9T+V5fF3MpC/8P2VlIjvd7Mc5Gq5TJbGTvSsnZ3XhvPRolxfxEeRYA4EVJwoZKWsE/i8Dswf1cqtP8COOQqiNC7Qt/TBOehhOBMJ23wMOwiVFjIqn6Z0eyEFptjo/cnOI8MW5AHVk494HpUUaZNDRM7k+IqcKzx69T8IODi8QfZxYWeiAaxz1E1AyS3SuaOxA956QZv2O/GXDOotd/2qMxGxHsWVXXLpRro0jodFbJDSrZfysm+UqO2NomvPpGfqGqrWL/tiG7bGOo8sJI4E4kQ9lutqKAYvhsz1lfjABahHb0VkztTnB6PacBjM8gfJpfrc/Y1aAgZAIXu3jr51yXKgH98H0d6//5xh7gXCBtkAXffByYbGMWA9vh2u4SVJ2JiJfML1+E1rTExgAPbjEtBMUYYmZW57bKXmxr5LmqwYI5DgPtX24WJNzvRFKo52u8jda9jVq6dK8JCL+aG4Db1wZKlEDw0WpCLm7i4u3bXcgXohDtXjtLMNFzgXuoQFwvKw5m+3mcdqZQ0tOk7rt3NaZSH7ygC09JLa5ea3gIV33LgX254YUfxR2qCJniI6Fwq+g/dt3n0V8Uz+OOOKDfcne9wj9mUEk7SAZgwOA/xKnyO0PzTfey2PURY9cCKdP1XTcDyEOMBdgFOHFv2RhnFdX7H5qvTMalAAoce3Q+Ml1EBsuC61rDhEkk50z1evIAPxAtPuHxQpHKxaq4StjatbZkSc/giAUy5L5t2nXHnUw+sXuCURIo5xsdF5H2EzjdOJWTbwBBY2fHLSIsBTdzOVXNkW+v+v7o729HDMeKj5TJGXCJYxcAQvmqsyqJ8dvllsVnUzjTgEccQDINsXFNf81ClFcy+D/0S9oQRBuKpDxShX0K7nvPEvzv5NrMtA7tR9YEEfNft/YvPKC85FLGKP7J4iXUwWDzws5omoygCGRruo6Zv08cGbSbvSkPllqoNBnkXtbeaX0bF5rHAYsB/jY1b+YkhW+YSSAy+8YYkoKfZnWTtmkl6CSEMxobig2z2MFzk5nBNtsVjIjqb/VC45U2AoULQFph00hzO7pe8kZ6cUSVMZ2HIOQx0BJndFWHkOMd7U9goWTt9vcQzs7TnQkKzNugER/FHaoImeIjoXCr6D923ebhKxkb3AIJqW1SPv29ICmPFQP5umnXeqpdNNMZyexOijxfnh9du4sQ5tofasnRdJ3quMIyC45dIg5ott/ovz5WuGPR9WRHfd4J0P8U5mZYW88u6kkjVlOOSuWay+Mr8FFlYNdKFRUreuQgZkcvA2rn1sgxZfHjP6OFQ5rDq4WuMrhj0fVkR33eCdD/FOZmWFgnyB29i5sKWqTFgTwFpqxLhG0zZve04pRrI552vx9M/YOTLT0a/aJqHu3/FWr78clAP6IAzkaeSxDUxe8EFy+JD/hjXHS8bLO2Tv5i7PwW+UEnGJnSkgRSwOsQHM+//vEdwpY5F+0Fy4xdwowvAvFuUataxxEXtB5Lc9eP49IaLmY98q+8ae+VlpcXmBEyqAnYwMcph6ktKMvr7cLkYLaWdrtz8u8tFcuN9Yun2oo9U/H4k7CDp9JK9mR9Ial06BjE/f5yRYJ85JOi0wfzNXW8BQWVeNxypFeMMgD6l4NkTM4xMYChml0+ASdsPHl4lgn74NhjdvY3vLgZDkSDsNg+Lv43x3kZjGPgJOZghGbWNA4nqFwE5uuh1v08+k+o2ZaYulv4yfAa/hk3LeqX++08M+swPCBQK1BCT4r/0W+XUTms61DlHOTDnux+TkIThwGWNZMkOa2Ss6pTqsWFVxwyBIBgszzSjWabVQIO5X8TEeyGcZtLJKTt7SNlC8Vbh4CmV9HIkaZKvQyPQM4kUlMXL9wO2+bstuo+YSBGkBf6+N1JBsaD8A6ZbH4neva4q4LRebZH5Ejh50F4tyvNYFzfpa9V842QmerY53NLKPQGzOOmz5vXuZSy74iRSqoAeJrGyXl9q91mPi73AwsrDmCdp7eCDCm+tZeovGY3rcC6q3cxWQuk1ZfOuMLhpULbU55tkEYUb6te8hrjBk/OOC1xitZZFRMyGYjjqzpOd+XBwKAnv2rax2j3RC89m/ClG0M7c/RmzPIEqg/QFYtOeHLOTKWqF2tdMfPzBzNJg7ptH+o46tZwwof2PkrSEclrdcmETFYrRC5zyBmTLnJzDRSMQoVzasPp6qF+CGO8xJIOItJpyyFUOJ6BvKkbMBHZSVttpRjNN5nvT/i2mKM0sjr4Az46O0hCx5kMqH48IkcBAjmw0eh0N/VPaO7WgTKAHRHctFfeEhD8CAPsfUWgcksqIgYrx9PpWKc2tlSUP4jVQo/+rZBiIAWE5EY56VOP89nkK7BsSQip72KferOhCte5L5NrvyKXe7sUeNwTdxGYp1KSvio5KtzYgZyiHFin2k0ChnXn7qf1TnTX+9OBQ77iRUVGmLrHad6oxFnsUtyhF+iY98nYrPme/tusfR2v7SXDF4fIGVzoh50d2w8td69yf5WpXU/rhYPp+w9rq5xTrzGCUGBgo+flLRuLqj3P5QDEpbopfahNK7Gj6BKz58pX0iRCYbf6NvV+uITfAcx+0/4IpInvpaUz6O+K1R5nzrb+s3t/2adhrYRgdV9xGta+BIBgszzSjWabVQIO5X8TEbyxd96LX7ak41GQkdkQvMXLU8HMXGj+j4PeSTsQhdb7iW1JB0y0JR63QtFF1lIpgo6W0UPiNqNXuGSV5XgADbuxCVMxC0nimh9QVxcu6RiIvlgI78hgjmfRRk+2d5r4zMUhAg2gVEi8yLY8F7nJRhSeKDmbLSfWCdwFvcBgc15Z+f7sL8EUwrXbPsW/xXEUCb0UG+KGKqG4oWmm9n3Xn3XRlHNOJIVi3npAjChmddgtWPA2WHtSdA5guUpyHq3jdSXoJIQzGhuKDbPYwXOTmcKxOy1ZKZrQ4EtoY3outKhl8kHHR0OZCBCMhcCyddGzMxRIBkv4UYvnLig1z4L7DJGoMqDqk1U3LbzDfURMahiiYTcLuMF2acS8t44q5R3krcoVabw0dVpXAfyuS8yfPB0sullc3AgSugBZ1DR4H3UwIBpdz6xZ+LO1PgJ7CG0e9HCionRZRvSZoNVRgcyIMfNVzSAn1IpgQvVnxawi4t6TxwqA+c1t01kGjZHEGMwEyX96mDCKJ+MZYUwAVYOiZZOrzjCQaPOysJN8S9zHN1L94YMv8Pvbn1bcj7NWJaTp6NORPu6mN67KYmhXP8h7qOK6ynctZf8YjGXiQnBS5NYwMQ6kK3BtahQDvPtmTJRobh5JjtYgrwf2Q5/rP7zjm7X1ykBl1TXGIHVhTEcCwteHuH5llFlQvZy78Qziy/xxDglgscIMg6rtzLX43FVTipq09q5PYLUKoqtqYVM+oTSOogbKjxtm3F2YEFSF8tiQvdG0WQriCi0L0OiuiE8utfPoS6c0jY/eiuABdDC2tWS4on+RBQPB6m/2aOa8Wys85av/GRJ5gqtcopUZEkpbyfLH42PV3x3DzyNDx4N6nJuaXmmoc7zoomGBG5As/0Zc84aXs9e3w9Pf3DsWqdB2qg7Xx6repS0CjiRkQC1o5lCRHivxyLw7AU7Pqq+Z9B5Sg89z9YNnXxPIZENvFXZG/iGuhOvsbr9aDz9NEBsdvjDobs1uvlFJ9EHbgfrFnX7BQklousIHHlT/jVZzlkKBSB0qvwey8oEcfKUIBVeichftrNRrDJ0aFvqpG0/0KfLlG4L8XiaCLHEsD9PEoenYEPHSQ3F/m9LnhpSXzmfh+M8euWVY2lhLw7jXAjC4UZaCMZJXhDzmw+ghm62wQ6g7Hs3mvO0G+loWjRpcB67Gz/GZlgvwXdZTiALlUsiErnlTN9P8O/z0knap6sfFVpxqkdd5TMs/pcv3mRrEpWc84IX9r6/exgA99y5JKqkVwgDTtFt/JjqBdd4oWrUW6WrhIZ5lMdT6qL3JdDxJOM716UGkKvnJZAcV8/znL4Ti8ebENDeJraeGWTCK8/pYFVfiYQLd3o0cNAUkZCm2B7WtKmS83bv3ZW3tYJHnWHva6O4QZohrOmHXThz6q/xy2TdYz/oXroaamaL1OgdHWYKPc181GS7pNyVD51ByxpURUBut8QMy4TE/7OR5056l/IeEPNfQDuNBmHe2KDpqJvFYB7dG2rcg9bdNpCGb95fEdTMMI9qgscx9AdH17sEj8dRpVXT9ojUGfA5ojOXSiO1M/oEDykbQWOKrd3pWQ5XiAFianzpwgEJfuIO8xS0qrfVP51QOTqjPzUhTHTo3k62h7XgOPcikxGRmgvU5JWH7Wk95eB7ugJUowZ6ZEgluitIMIazn3XW/QxyD3BP+bQLvuZB4FFAa1WOi/InyutsrunZl2EfdAyJQ3gPjbrujAYBYkGrfpdWExDbwX6GBqtUc8oLIUEKTKbaXqMKLFGZvwVkL/hTI7Zq80xZsSoF478niJfy76neZGrYr0EN4bHt98wOSZJSbjGBnp8y8U+MxCL8RwjbSISjbSSGI+mw5wKDMJB4ILRYoA5vOS9bpsSybC02fZILd7BnvDgC3IwzG2OqBagOp8TrittGIgfQT9faqiobjbbL4T+kJ+oUkaL++8jVgjywihZryC6ieWgQf7srGJiu22biwiCsxg+xbCpfh8Dk2a1sYCaTGSuZA5Nnixa1KimVVbtLriibPV2i3utoISESi6z/V74dDTTnm4qmwQLd2BqqqRs3RqurXLsYNAGtEiQFMgxhTHJcbmSQe215ZdDY9uVofqyhbdvXEb92eb1ZkNfs+dk5e7JbCpE0JhQSKd+imNAmVxX7KYBC7jptC4+mXhSurheJ6BqQM6rp8t99CzxPpMdcNXEliJcSHa0knpFxoTlRH/aB8piimwoDlHZzIMwkkfCxEGI4LWGK71k+ZXl5Of/7PTQpxgpgfLIwIRZtVhuaxR2gd19enevPmFfZrRwvycDmX/5VMp1A0J2PQWPuIcG6xZNcld7Tt+BifuPSj1fpQF6DPWP09Y0WrwO19CKw6ghGE4GFYf+dd/tehp/7+6OjZKs2f5GvUBGztaVt6mVXRbV3rhdaHwf+mBSNxgjN87+HwN6DcYuaIL5Ymt6v3wir8LTVL7+4ibivtH172Ph9kA0py1FUr6JqloSGhK9wAxOuohHislIJ1JL+EsAnvzTAo4nbC5rVvaUPsH1JHeQd3fsbr3gd3V4CdM/qsPrnuMlVTbzjsRWyE3PlIm201jG5zONy6rE5pGHKMD/yM77wtE1ZT3Eigrbu5bFDuifO8dI+1geC0b034/H+BwInx/d0Zz9foIEzd6u55jl0ifvUD8YaO2f1PEkK6166z+bqe4qSmAD8DcFheKlJtVdThLJtneFPd4adfPBqiEV8IN3IsvMSagMnRUQo+pbSVCCNYLOQD7D0VVQV+/v9QIKP3OxI7UyS2ZwXjh7E6OcuRhNLf5gLzlVy3kEdTFdviq4hd6QO8R9x+1+mnEUe/V5AB1pt2sglIqihE1SVQBq+UxbD0xpledJSmWyco6Gb1BmegB+rK2Lr421w0ggOPPHmrCSKKOCBasuRUXZ3GksPPo5+4BPbY3UDLEJHrwQ94XzoPz8kXw+RSapBdu86tuaCQB1LaFaaprfec2w+nzMgOQVeuKym8RnjwcL4RdHG1HyoFuPSEfFddr9cVDoIAPJW0sWdCseLtwF7J77GYIlzlhSnMv4NjbBPXviG29PDm5hfZvmzcVO/RpHlz76QgtWo6SxmdO8VOyvEF6GbHAeNlEIgJsPOj0XyitdD7a1OMbXRuVXwTFXBJZs4rccuVYD9sRIDHofpdGLYJZYAt+5Y6E5iVsjHTNj5Js/V1ozN2lssNPk+etnq/smrhvw65WtWFDVYFWbbZdexUpEoXdaxtggQF+D9NLXiQrHC58JDhz8+Z16cGysjHvaaWddgEcPmGRPozZwx7SVkl1YAPfBCcg5ml2HMkfbqAcVz9UIjg75F4+gNaWbhf/YggjqiL0hb4XJjyCv5k02i+6sAB5+NApjIPYbXAGyR4CbWC/m+EUsBausJnB1abYJ/VPk+aDrgIBmjhpxXknqfauyjDZCoR+WO42nLxyzP7Zy6n28Sn/KFDj6ARIFbH/WJNuME0KP52X3igW0Dn0nOuAF2H07uDkLMhJy/EUZ8Ht96BoOX8elzULBAI8WDhcFSFbbLzHfEsDPvVoMEYSG71Zj/lJmI7omqNXoEahxM5ATNgvwyuxNT9oRTt5I32dsvJJZMfyTf/b9N+TX8ytlXbLu6P55K6h8Fc3fWxWkOu98FnGFYUJymh3qGR58cYaC0RtvimXaVPWP4ow1rzrUKX3mMg7OeAd+WOnxgsbiI/TPziY06O/TGj4fYSVQ2PEXj19bA4RnrVjgt7ZhuvbS08NefmoiAAb5Dpzs8Nj4i7qeWXBjyQKsZcdZ6k6IEOBw+WwgimHWe6Y+9ty+ClvpEv0S6v4pAztup9p2TwSKw8yivM4HCiZtwEIvbBgwFhHcvg714Y1KmVluRQlxQDjYoy8xEZ5EnU92u/+FAQgsEPN21m71BHz43yfV0rjTCf/Ttvtlft9nig6DiCVB6v0hd4wl6xumYKMpmjVV+lELX5Cl3DUSgP1LibLjrMbuMYomiDO3Xn0zfpfayWMyPhPtU7BhEdhvxv/UpsCM47/Yl2EW1YzXQ09zEa0WNj2kx92cqVfLzVEC4rZN/VSGCvSiovAgUA=" # 待加密文本

data=base64.b64decode(data)

# mi = aes_encode(data,key)

# print("加密值:",mi)

# s=aes_decode(data,key)

#print("解密值:",s)

a = aes_decode(data,key)

open('1.class','wb').write(a)

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s=binascii.a2b_hex(s)

s=aes_decode(s,key)

# import json

s=json.loads(s)

for i in s:

print(base64.b64decode(s[i]))

版权声明:本文为博主原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接和本声明。
本文链接:https://blog.csdn.net/weixin_31851979/article/details/116129780

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