小黑长沙特种兵归来，身体比较虚弱的js逆向烧脑之路:招标网搜索数据获取

通过有道翻译逆向的初步尝试，这次尝试一下招标网的数据获取感觉轻松了许多!!加油小黑黑

寻找接口地址(通过响应部分，推断出该部分为搜索数据获取接口)

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复制curl，构造Python请求信息

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进入https://curlconverter.com/python/，通过curl生成python请求代码

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测试请求效果

import requestscookies = {'BSFIT_EXPIRATION': '1709696516897','BSFIT_DEVICEID': 'aO7suaBkHqXumxjdgmMkIBtj2lDrjvJSq3kwyf6narSpqFz7AFK8luGaYSeiyKWtORvUI8epnEpYond74GFWuoVK6BQvfHY9chIgrQHwsZV0qkeN9wWnLtBCWwtlcbEfr4CZHAfY_e6tyrB544Fq_HsukkP1vHId','BSFIT_nhvAy': '','route': '2d537f5baec9369210a4429f0163a741','Hm_lvt_b966fe201514832da03dcf6cbf25b8a2': '1709621769,1709684843','Hm_lpvt_b966fe201514832da03dcf6cbf25b8a2': '1709684859','__ts': '1709684859001','BSFIT_mpxnr': '4iQfGizMLnZyGirYGm,4nrfLn4f4n40Gm',
}headers = {'Accept': 'application/json, text/plain, */*','Accept-Language': 'zh-CN,zh;q=0.9','Cache-Control': 'no-cache','Connection': 'keep-alive',# 'Cookie': 'BSFIT_EXPIRATION=1709696516897; BSFIT_DEVICEID=aO7suaBkHqXumxjdgmMkIBtj2lDrjvJSq3kwyf6narSpqFz7AFK8luGaYSeiyKWtORvUI8epnEpYond74GFWuoVK6BQvfHY9chIgrQHwsZV0qkeN9wWnLtBCWwtlcbEfr4CZHAfY_e6tyrB544Fq_HsukkP1vHId; BSFIT_nhvAy=; route=2d537f5baec9369210a4429f0163a741; Hm_lvt_b966fe201514832da03dcf6cbf25b8a2=1709621769,1709684843; Hm_lpvt_b966fe201514832da03dcf6cbf25b8a2=1709684859; __ts=1709684859001; BSFIT_mpxnr=4iQfGizMLnZyGirYGm,4nrfLn4f4n40Gm','Pragma': 'no-cache','Referer': 'https://ctbpsp.com/','Sec-Fetch-Dest': 'empty','Sec-Fetch-Mode': 'cors','Sec-Fetch-Site': 'same-origin','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36','sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"','sec-ch-ua-mobile': '?0','sec-ch-ua-platform': '"Windows"',
}params = {'keyword': '医院信息系统','uid': '0','PageSize': '10','CurrentPage': '1','searchType': '0','bulletinType': '5',
}response = requests.get('https://ctbpsp.com/cutominfoapi/searchkeyword', params=params, cookies=cookies, headers=headers)
print(response.text)

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通过参数发现，请求参数中并没有加密的参数，返回结果为密文。

寻找解密入口

我们只需要找出解密的入口即可，搜索源代码中的decrypt

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通过判断，确定解密入口（入口代码比较简单）

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分析解密逻辑（密文->base54->ECB解码）

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由于代码逻辑简单，复制js代码到本地进行改造，然后构造解密逻辑（test.js）

//DES 解密
CryptoJS = require('crypto-js');
function decryptByDES(ciphertext) {var keyHex = CryptoJS.enc.Utf8.parse("1qaz@wsx3e");//  ctpstp@custominfo!@#qweASD// direct decrypt ciphertextvar decrypted = CryptoJS.DES.decrypt({ciphertext: CryptoJS.enc.Base64.parse(ciphertext),},keyHex, {mode: CryptoJS.mode.ECB,padding: CryptoJS.pad.Pkcs7,});return decrypted.toString(CryptoJS.enc.Utf8);
}
var s = "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"
console.log(decryptByDES(s))

在这里插入图片描述

通过python进行解密(两种方法)

方法一:通过python调用js脚本进行解密

import subprocess
from functools import partial
subprocess.Popen = partial(subprocess.Popen, encoding='utf-8')
import execjs
# 密文
ciphertext = 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"
# 编译js代码
js_code = ''
with open('test1.js') as f:js_code = f.read()
# 编译结果
js_compile = execjs.compile(js_code)
# 调用js函数
res = js_compile.call("decryptByDES", ciphertext)
print(res)

在这里插入图片描述

方法二:通过python直接实现解密逻辑

from Crypto.Cipher import DES
import base64def decryptByDES(ciphertext):# 进行base64解码s = base64.b64decode(ciphertext)# 进行DES解密key = "1qaz@wsx3e"key = key[:8].encode()des = DES.new(key=key, mode=DES.MODE_ECB)decrypted = des.decrypt(s)return decrypted.decode()
ciphertext = "JwdsCjMM05e4niaZd3zOKXjfJCSKzfLUd1joO6+H0TGjmj0y4AzXIiFlVNgGu02jGG0MadzomoPnBMQ1IqqRba2ze4CaQB6Rr7HUUFd/yvKNcoVkNYkkq/5G/ea+css5EDpX5nE5rlf98XX8hUzbai3jHVNkNL0NhEBX8cIXlkkYN2K3tghxHAgjnH8ft+DrOGVK6wiMYlU4pR5D8Hi4d14VX8zeDzH+aUvQjSo7IGD6r3tC8qe4hUxwiaoj/LoFaiAflchNiOoiG94xWpDELtW5G+LRdw5AMUmShsk0dpWDuY2TAXJh0VB8cv2x8YvyFXcnFm3f5WVVt6Aa5vEEv16B1LnFPknvHIsIk+TqI9TDjWCtkfu/MhtHsWKeyaO6OrDcTzuSYeNm74xPEiFBlbvuH9fQqCPzuJmbx1CU2RXS0VwDjdSuowJCWtDRxIy08NGox5IA1FA9eJRiEMchUlS02sEA+VZaJzHTnxNxX2ri2rePbta1l4jvN+on4ljStX7+uUVE1TZCcwtEzmHookUHplJ19Thu/+apcAZMKcBkgX4Ogpk69Fl0RR+14faNBD7+yCa/1GKy0ZStkuoD4Ru4ujRKmpiogvNxEZ4NXbp6m8oJMo+Z4jqwGrlpOuuHSMjgzgx71xuVEd+nIYTve+sDTSynnb+a1uceVoI7+bBkgX4Ogpk69F2Q+gdny/3lhxkcYU8YBbP/lzH8DkGShXXnHed8ixqZJDGVQkk0xbYtAgPN6UVwuoSUMwYHFj0xnO9Af7BxJ2rtQ+zjsrKLRlWcwIDahvgDxrRDn4RVJNcEW8tbw0vI09vnSRn0+gvBhm7Mp4UJVPaE3rWGSpV9jXKsPT+Wf//9L8UpukJ4vz7NgfPm5eMYONNaHtvxnedzqf4sxBU4PG54ZPs5+zIbkqyGPwBprd8wObqzfuWhsRsXBTO9FtBoP2bqmw/qVGGBIk4yboYNr8MVLEfXCIsBS+mfu/TVV0hCSelb523DhbDf2KBILkYba/u3FCt0ioo0VyqNUG1QLi804kopoW5PwPZItw3r1s2G4HW3O2Y12quPhzMl0y+RrJClOTzayjVP9gFcGYcsMeepsYbLUpUXWreQDETSpcUQ3CQAjUW4XXeMi51kguK9pdqUDxsE4W+fwSL1Qiw4ChoAttbCQ/yqMjQSve7RbtZVB9pxUTiGFYaOgEqYoBip4rZJ20E3uTPMkO4c62lVtfoEOTIZGXb+QXnwRe7I+8a1GAT3h7slCPEsKpY1MXiNtitkN+yLf9uUcbCw068IwFr0C2ZlElV3+v1tIq9EmqNBPLxD1iizr9x6AcEEsLoqLw+eMkyy6HMVzJ7H8iK3Vy92YZaViqYdGISUMwYHFj0x1tZWeYDWaJv+ugpZtU1zBLN2K8YnsAZ5zbsbtgr9kiW51r+YOjqH0omP2998QK/YjU6DawvtEyvEqtriIygYC/nYlMBbNuNipIA+Lg3YQlNsn7reCjwt5haXKyCUJi1cCUAy3l/ypVFsbVGAYVMO/NmQyTxGuTwdT61kVd+hHEQMo37mz87vzafSmbry7mLcbuTSc09tBnLvjOuvV2UaTW14aDfoGPNA9HbwnOGeDiiA1dqf2UCPwHXw2uitzoKqVbegGubxBL8LQK2EkJhioDLaM3493fioxu7kVcl1yeRwFXD1yFZAW7puBWAEQ8UTHb8zw/yCoWfE1ah2BgS9IQsWIuHzzJUVCbrHvuhc3geElDMGBxY9MdojihE1HAVfqTttD5ZCUg6cyWkDLWEfFrr5Zlwe6zwg+KwNZ8R4iCAZoKi7nDiaG3BPN0Jbsd12UpM6r+nAoY5ZgANzgvZ7EricuhukdQ76cE83Qlux3XbZChDq2GAEThxC6qzP1KOJyDbYYlQrrmP0HPVprlYYRJSElX4Fql/6Gq9eVItsWmE2ATVJuH6I2t3XSWvzvhCnLrmoHHNiE9CYiBzlFIPLVTcer/r2w7EskvIRia3e4SDc8bnMmKoe9OU4/SY0X1cu8FNH81DNR9qZdURR5wqOJIG8n7R/5txJad6+kdJxF77lJTwrh4dt7ei3lJx7pJlboH90ORDUFTNax9DhY08a0p8Zg+jx+1C2mgBBZsbEs5B+iIYttEwLXs3NlIq4RYt3kKYQ13de9vtoK7rraS43qEuKRxFhpOGiITV0VVlTODw34BLudh5uPvxPpUYq9iTqMSHcXDia7vIFP/OoBRq4LKOAgpnozzinFLyTbJoATXB9+sB0gQu8Do+oSlKybrMtHFdXtF52gvxegdS5xT5J7xa24nUNu54YOKyly6WzWopIJ2TjtpxhigYFKtmdEeENcH/4N3t30+6U6X2WV/NuqtzmPm7HwzDVhh/XnfsAOen0G+cl09vktemzxEE5ZYkq6QvHzbdVbeGaAEFmxsSzkHOcgBnpAaK51SraP5dO2D4CieL1wteM2HJoYb2tc1N8JUHoOgzhlw2dp7ZncraWYmopjQxIidD5JitghX1zxPChsLQPbYIqQlEbV18i/J3U9En+ItkSDe1Iv9OGw/G0t2cu1/Z87PGFsraazsooKV+aAEFmxsSzkNIRbayHfgrBrtoH/4mzk2bqHE/iKdqV167aB/+Js5NmCa5v0kJoNt1oBExwhSRth1RR4neUvJ5yQoW5EiOPunyIYifE8+A4Fq4LJcKi1eIqj601KZ5AAsuiuf+wxoNL3ltGv9N7NgKPNTVF5YEs47QR+YjGpnT2y6g8kCxh2sC9hFeEscJrergOmqnDEUOubWhPiZWszm4AVZjJDziDLJjLYImGQQ+QqreQDETSpcUQ3CQAjUW4XXe394/OeXW6TcNzi3A6Vmf/E5JK//4w9tZ2Z+16knnyfmK0b26/+vQYPNZO8Ikf+HBiofRZ9qw2nDzFc1qGE8PEfKE91Ik5lXWl3gjw+Ux+UuZHC18ISIBziuTpHXe2IcgzEVHv+J2pErbQvzfr8V4xRWKY14lqETRv0Jd6vg7fp0TGguKGJGRMmgBBZsbEs5Aotf9iAbsP2jfi4LAtvEa81c5eD3udN9SQjk1V+z9pZDg/nNBI8aVOrbyyk598O0ag8aOelk++bbicuhukdQ76/roKWbVNcwT+Rv3mvnLLOZMSJGrDibKa9Wmg2MOZurKRRzrGt+57henynSfj+jPyQPPoonp5eitLLJMli57YXBrn9j919OYqG9UKihyfQecxjChz1MINB5+i/GhjL+pM2pcMeRCam82shj8Aaa3fMJwfP8ycERRwc6+2IYWjk5LJrfucabN1jm0Va+sPmB6nEZJr54jZoakXXb3biYOBeG1IQjL1QfMuJDjXZ/51thdoGo2l7uGVQaTWUC6q1FnCH5pUJmoy9gukk+zqAezqVdn7norDmfkyZ8ZKDxsW/rMglY6TLG5ujtRJzG7DCewC9l8a9yljfsyKx0e/c4hgpr/WIbhdn/oVFkFQCufzBMaVEd+nIYTve1S+c3JWhXady2yrqqXKWbpFcj0J5pFH+xb0BCVnySw0l9+aDTcerkAHNIKusilv4wqzwibrr3ajueCeZgi0qNI7CXT2qwRyoYofaE1ynTwfdOo+rcysyy9ZzpaNdL3uv150a10InNPHHdAMNB/1Y/1NYkh8XIxUus15lBSXjCCqR5+JRSyIIf9RsjMWpwQ9/Kwm34j+0Ltr5LHvN/L4Eol0cSxjhwRwLlibNCbw+Jeoep5lHzZWyBWLdFsOo97/zBBHODXPuwXSFhsQGni/PCJJQPmnfB5P8FNTGS54SQS/UDe3c6/5GCGQ3k6OnCrHGktOkaL8u3P+LFJxDxJMgnclA/y962vr8pepIAv+srwQUhd7K+CKvHKnuROB086o+ao6bcUUB8C0EEc4Nc+7BdIWGxAaeL88IklA+ad8Hk/wU1MZLnhJBL8T/RfND/hfr9F7/AQdr50Z1oCwAsSomg6zoEQBq/xpiKA6OHQMtqucnf5LYrqwWVzBFDMTrh0ecW3Txja7sjIqnNX3C5ViLh68e7YlZxwife939JQ9RqSMaxTDIQwoD8Dp9CCKlP+JS2ChKn74dANiOWewRatWVsr8zUTZQ64QGg4SAXdlpz5pcqmAoPgeT6maAEFmxsSzkKql6nKA+HXsn05Ep20ttjc56q0+M/IPspwR1nn87TK3iAGr905Q3ZQydWLf1ZtvYZ2ntmdytpZiaimNDEiJ0PkmK2CFfXPE8KGwtA9tgipCURtXXyL8ndT0Sf4i2RIN7WRz4tJE132jZy7X9nzs8YWytprOyigpX5oAQWbGxLOQ0hFtrId+CsGu2gf/ibOTZuocT+Ip2pXXrtoH/4mzk2YJrm/SQmg23QkBCyWwvfBU8rB/c8wruqO3ChacCWcKbZC91izbyoGPrzUfwhQWlpXAKhWFaBKSTl6B1LnFPknvw2if2KtcLlpBEn64X+7xja8mPLfI62dznMlpAy1hHxad3yRoZOiqhvVpoNjDmbqyH7puxK3n1q1pvmunLnSIVmcNaeR8JJQFXoHUucU+Se+tE5XQWgok0PXaDcPpPNSlPYgUqWaDf3gOLLl1+s+/52YtryjtaF9PeLzusRkklSckWtVaJeTNn0R/GeBPza/gW7yssTE6p7fSF4DfS4RVSPKJCsnnYNrMDnRbxfn3SeIOB2UsX5NBYzl0Jh0nzY0nwVrDKnaON8KenLR2D6L7vakywt6mvFvIdYkszzDL7okkONdn/nW2F/bLlcWeYe5PjUuQMMqmzrjvXOxWLk758EdaYx9m8C2c/roKWbVNcwR+mHop9eDnXc6n59MrCGakQ7cHmGiyZ1U7Glc2LRKQCsRIyrf+tzBFEcmG+vWshyIL8/0plPCt2x82sPq/Gmkh/1TCs0JXSgp8Jlvb/xwA6coAvj/+sbokgy7hyo0SOCbIMNaaQUaxy6stJluvvueMBWpUauFPgIuTcxaW+5jT2vAOghze50TtC+mlyyFNBNkPDa6IUTpYmLkq9MFPLb/vIau3cbAfhnYbymV7OZBOvYSUMwYHFj0xbVXEe5iuEdbvPULGclylNHpuUPdHmowfWU7DcR1rtGqO9uY3KDm8ZXU13YlgfP/wGctdboJhaXoXwW5eb05B+PeIo5+zkZkQmgBBZsbEs5CqCDD2lZLtxN4Oi5mqvtT02ysVXLbpqq/85Srh0o/ppal+D/ID+/Ig0HYynQanVI5FjtmnOn4OE70FlRT7VR9BYD/21PAmzqW6mT9jX+Y/7kWO2ac6fg4TPuf7AXz1u/KqiENcwwItBx27eKB32Ug60k9mzZkO3+WVEd+nIYTve9DIcjQoKKNml8cGD64ZoS4Wo4gwVBCme2SoxyXD8Lt+BNpCx5nlOimWfS5ib/t9spPtOQTVhfo7YWGwEA0pQ+2L6O01Hh4sYbm2Kmjf/20HDmwzxcgBhzyqjBQj4I0hrkEhW5RiqnDSolFhJvVhj86DR6uiLBXFyS5/II42VTEenym/cQntjlIkONdn/nW2F/ACSFvUtZhYRip9iVx3onbLZbFWUdy7X1RZo/78tKo90tFcA43UrqNhNYUBcu1y6KqMFCPgjSGuQSFblGKqcNKiUWEm9WGPzoNHq6IsFcXJTEyT0K1sFj6l7S4Uw4hH4CTLhyMeQLvfD+9eIkQhpop9yoD3tAo407LRlK2S6gPhG7i6NEqamKiC83ERng1dunqbygkyj5niOrAauWk664dIyODODHvXG5UR36chhO976wNNLKedv5rW5x5Wgjv5sGSBfg6CmTr0XZD6B2fL/eWHGRxhTxgFs/+XMfwOQZKFdecd53yLGpkkMZVCSTTFti0CA83pRXC6hJQzBgcWPTGc70B/sHEnau1D7OOysotGVZzAgNqG+APGtEOfhFUk1wRby1vDS8jT/SEjGJJ7tOShd0gBmW6g7oTetYZKlX2Ncqw9P5Z///2TwwcDPXjHIM2B8+bl4xg401oe2/Gd53Op/izEFTg8bnhk+zn7MhuSrIY/AGmt3zA5urN+5aGxGxcFM70W0Gg/ZuqbD+pUYYF70LaKIdcVyLEPN7ouYsoh6Z+79NVXSEJkc+LSRNd9o8GpR58LaV1Q6gya0lPJ7QeAHqFVIUNrFf+XMfwOQZKFqpw9A0J+m7jNTcwdXl3rVXfbvgx0m6yCazihCxJdy1L7tfFM1F0s0GwXS2ZU121Gng+dPtkL6hIa0gIehWyubmGNRC19GwWpc2bVNNAbOkvad2lCoNJLNMo4JOKWIzjXEVN7em531N1QUUaiQiH6cK1ZL+ni4HN3HzFIm/CEHQsC8nDUzdcm3vzlM8OW4XuAK2Q37It/25RxsLDTrwjAWvQLZmUSVXf6/W0ir0Sao0E8vEPWKLOv3HoBwQSwuiovD54yTLLocxXMnsfyIrdXL3ZhlpWKph0YhJQzBgcWPTHW1lZ5gNZom/66Clm1TXMEs3YrxiewBnnNuxu2Cv2SJbnWv5g6OofSiY/b33xAr9iNToNrC+0TK8Sq2uIjKBgL+diUwFs242KkgD4uDdhCU2yfut4KPC3ml6kgC/6yvBBSF3sr4Iq8cgw57bXslENJ/kb95r5yyznD7LWQs+TXcvyaFhdtoA0vWRCXRxS+AvKRxRO5Nl4sNe4z/l6zOMQ1K8lY3yxGX48JXywipA0+Kwjv0NjgnWm71VJaQaigJtEaWM1rIqxgBbuOH4IqCkGyeujcHhxXmZ7ZGzL825lvxXAdC0SxjXnFaARMcIUkbYfIze7UQseXQjUGMj5VqDU7NFjT5Bt2wQUnWzDY7Jdo6LdEkquB++nwL+LJfHI2KaBl5Z+q3vwWsRfe8bHavNUH0HYynQanVI5yYfu+Vjp6i4R/rHnDiqbcWqCMvN+y1tPx+ygLmVp2vDSbKYMjZ/zrjsQZ/hqxECvWA1sFiqGb30T9D8UoLKNcUVqm+014zQQru/Oyr+xrh+tAjQCHZJVWcsJRCOBcnrM+E4tTRGnHN/vLAeMdL3uR1Dz9e1Nn3TxjBxg1tWrFQHumt3RvH+GO4faOCtFVQeRcJEhzbNPzpVrenw+Z9rYG51SWHdgckYiKH2hNcp08H0yhdJQHOk3hEx549TmN976AgIttx7pYVt1LBaFulYumZ05z57Pa7Md1aqvcHSp5MkTNJrXS8iGUIZgttKtimmg0d3I1mKKcmSoqnrMFE29wSvCyd6ScRCu+4/w+8Ln7AZQRzxkUZMoaXizq+JLjsd47gvx8OeoroO1602e9S6ARsWHONMN1g7NmSlG9OEHxsD79MYdeLavrw5GWhTMxilSSzcPfU2Cu/euMc7NwK08yaPTPL8LhkcDy5U1JlRbva5tuD5ghlHulHq3BY0hdCaEJkzg9rbzs5uRBcJupc3Ca3W4Xe1Viz666djarYLNrV3Xzx9UZjb3q+1/m4+iUSbzsv7xNmA0ifnqW90MjcjIARip9iVx3onbzAq9Z1bodLYeXqdQqrFlX+kkGCe8WMb/7iqq20rbTTDPIeQTKQ8f8Xg4cMoB0Eb9cG9fnJYwveA0oHwjlNp8X9y3l+UoUKs2DM2IDqSVZomKECtxtwmyqCit8071A+c2qWbchUnudlLjuFwAaRbEBssZ2lund36pkuG0AQ3eKyyJDIEgJ9PnlHSM6CgaaheG08/v7IrGSK0LWuKgpL3B9BcU7JoFKhLDYCF6Y6R548yUWOKdKd6ZVsgmFn4VpCiaaAEFmxsSzkFQzAwPTPtZVmgBBZsbEs5D9uD3uDpQu/pAWwzH/p+ptsu0I0vFH7ZEciwiT5Ooj1GWhNAAvlWkzvbg4iKL4ExDIam8UDRX/pv8b1hQ2g6EM1SraP5dO2D7Pm4cW5rmeMWsUwyEMKA/A64UCPyXk4nJ1MsVYgLZFBTYQUQPWPAAQncgUuc3lmps/OJ+YzV5FsNE9yaivdqJW7owNwFz4KpTbtypCl+jxaaGkW+kFmrFj0Yq1PfsyoIr8POHPeX9n0RR0+/IeM/UUoPSGRYplLeeBrvQpZoZzURQ7k7gjGC0iL84cS+T0EUozmccjAVJOChpO98J5nrjacoqMxk596KFE6RFcXlpX4ekr2PRWrBtcTWpZaxCNXo2QFsMx/6fqbdjYUUiwoZ2uwEignckwSM02dUUjZn7EDIU8YA71OdKEm1MxS10q3fLFUiL5sz5l0NmVtmJ0h8+p7p1wIk+8Vmn+ugpZtU1zBDIVNsFck4lKX4VI0t0aFqi51r+YOjqH0i2OWp7qmEDr6fB4KcpPDtwTHnj1OY33voCAi23HulhWLNpIFbcIehD5Y/mBbJEvr3KOt8x8NZPdnlk6e60suL38ejtZF6J+A5oAQWbGxLOQ6to7M4UBthxcmEe5jaLPPB7eMnFxbK4smCdfNahnuvCTJZUg4YIHjEWO2ac6fg4TZ2Q5tckuG/g7gvx8OeoroOVn0OZOWoX2niocJS+MwOKaAEFmxsSzkCHbXwpdDY1OrTlq13Ca+INY1YNuM8Tys3AVcPXIVkBbsQmFZqlcCvs0AvlF6XcURaR69qLPIb6MVoutw++eA0aQdXQ0zJhV8kSFeqUra94D8tezrc3N6Ltx1tDDxTbOepfxY7Lt1ySfVK0kc1JGnzrQd8ApO/D2fc7CtVt86hvxe8sNZ96rdD9Ycz8M39V+NuPIcP0vGjRHexJpL/rkOAWz45Ov4wJi+QhmkrBLluxqdbe4I442JDUyib55g90D5MX/CalrbBgdcpjI0Z4Zd2iFMdroxyg6NrMae5ePdqJsGOG0ZhShO0vv+HId/7Orut6ViAH114V1odh6ytfe7WgfNrD6vxppIf9UwrNCV0oKvLAM7M0xY1Ypx2Lno5dnFBH4qPPi78nwQZtjQ1334xlzLO4RLivwL9elYAaVRIO6vhPpTZEJJMwg0Jv+O8Cpw1Gv4THhk42RWJs0JvD4l6h6nmUfNlbIFQkWD5nRft+YafwVdjyBXrFFKlgWbuR8UynHYuejl2cUEfio8+LvyfBBm2NDXffjGaKhtJjgmRbDyn7IpgSSIQ8u1xNyM7750Y78xrVB2Hlp7hgD0uNwoPFOqserU+psIxk7qnVwvsSGA4LMy0DtC0AvLuv/ApbG+ZYMXnjn0bLx3x8iT8HJssbhhtsVU1vcYFIUbpZtoDdMbocyANtqDinsHrlCpFY2Q69SaTQoFWpNIpQ/C3ZdPNHoicdDuAF2FYSUMwYHFj0xvvUVgNybmWjHd13ogQTKTfuKqrbSttNMA4cJWBe5m/krts1+cWa2n8hDlQpaTfqwWNbT4ilQW6ZIhut2Qd8Gc25fxq9uuJbMCV3a3sohz/uWI+X4XJ32S0EsOhy/Yi/UuYfMBl8lfDoHKZEMAj8BO51JZLdgmNHartoH/4mzk2YoNJiOVI8T8JvumZ1A40D9gbXk3V1N07eb7pmdQONA/bLtCNLxR+2RZtn0BpIDuJxb843RZV8D5ndGa0Ek73ewg3Z0iyFn1URWuDIp1RJ5gfP3t55STJA7a3GAEQkDdW6GEMnpDEZx2QMPUQMi1fHlqJV6TqQK/BeVEd+nIYTvewABWZXGhdg/G7i6NEqamKjvbzSNElgjsLU2XUa89t5b73f0lD1GpIxrcYARCQN1bl977bxpCGi2ksKa3PMfcR3gNe116TkirKwWkioEricFnsXx+vZrNrNsglFTqn5rEeuZiGSfn7ngK1vlzbePACfhpbGVntuF8CMNYNWEwENlqhThKcRskayhp/DZmdDvBK7m/CQP8M9mZkILiL/DoV4C2HZ6CoIC/ISqfB2qF9HvmgBBZsbEs5C20L836/FeMTuC/Hw56iugdCEgmHOodlRBWiM8aHpc1SLG0YvpeyF4bofSpMbfOQC/8WBNinXB2omTz0+MZrbiuda/mDo6h9JQoM/EiAyeYCEe/2zqyUcmyCKxBQhxJt32vwob0AeMf5Nf3JQVjfTrogHW2zQOFIH+NuWU8ED/nUZvRSjfvAkACUAy3l/ypVFsbVGAYVMO/NmQyTxGuTwdT61kVd+hHEQMo37mz87vzafSmbry7mLcbuTSc09tBnLvjOuvV2UaTW14aDfoGPNA9HbwnOGeDiiA1dqf2UCPwHXw2uitzoKqVbegGubxBL8LQK2EkJhioDLaM3493fioxu7kVcl1yeRwFXD1yFZAW7puBWAEQ8UTHb8zw/yCoWfE1ah2BgS9IQsWIuHzzJUVCbrHvuhc3geElDMGBxY9MdojihE1HAVfqTttD5ZCUg6cyWkDLWEfFrr5Zlwe6zwg+KwNZ8R4iCAZoKi7nDiaG3BPN0Jbsd12UpM6r+nAoY5ZgANzgvZ7EricuhukdQ76cE83Qlux3XbZChDq2GAEThxC6qzP1KOJyDbYYlQrrmP0HPVprlYYRJSElX4Fql/6a9NGYa0irX2PcZgP1Ydx/mv28OxjKQUAaN8AM89fNl+UePXuplqKdrQ4tH6/F0/7kvIRia3e4SDc8bnMmKoe9OU4/SY0X1cu8FNH81DNR9rKyRjxNcIgPBeAT1GQxEjYbeESA+LwOC620tj/d8wjW11fFyTpVmsSk6JwnMUbsaALOSanDtQhJFrH0OFjTxrSnxmD6PH7ULaaAEFmxsSzkH6Ihi20TAtezc2UirhFi3eQphDXd172+2gruutpLjeoS4pHEWGk4aKxNCgDc6B2t9ZXJRqvB75QfLNMgdyHGK/ypczecAJrwHHMLh56gU8ov2HVhCh8PfwNXI/GjraZyyuuRVeTUOzelOl9llfzbqo5aazX3p33ZIsDhJJjaAYhGpgbvhRlXkVSFG6WbaA3TByLCJPk6iPUzcNLO/V9YAKNg795xiNW7Termo1qcXqFOeqtPjPyD7LM/DQpqvDUTE1JfwhrHgG1/5cx/A5BkoV15x3nfIsama0sJpICuyBtAw9RAyLV8eU4jBg7c+OETSZOH3WxEnQ9VZzAgNqG+APGtEOfhFUk1wRby1vDS8jT/SEjGJJ7tOShd0gBmW6g7oTetYZKlX2Ncqw9P5Z///2IYifE8+A4Fs2B8+bl4xg401oe2/Gd53Op/izEFTg8bnhk+zn7MhuSrIY/AGmt3zA5urN+5aGxGxcFM70W0Gg/ZuqbD+pUYYGElDMGBxY9MaY8YVRe8tnn7nj/5JHBtRhXGL+lgDPzQtKJpfU0YhWli7KIQsjvNmO7V1pbCpz/W4MzYgOpJVmi0tWjGBxeBIVEhXqlK2veA0pjTCCyMSQ9XPor6IgQqAiep2BTJQp7TPsaIbymARt+3x8iT8HJssazw+vpRWtL6HaLtqjYg32NDQqZopcv+HoDUdyQ+HIatIIsghnCM9QcZ12FX8/hS94YYBeNINTEhau6EfcEiugH48pxLjvdUP/sKYSCY4GOKQNVplpITFyuTnjONR37UoFB69vmMHt61VY8DG4Xlf8U5zAwnhkGeN6Pvsi6Cm2r0bPkC15JGaWRhJQzBgcWPTF6AcEEsLoqL9WMklTSiayzKV0xq8ruOHtgIuoSeAa6ZDObLQ6OKfi+UilOtY+KvOPPtZ5QZB/6nWti9ZTYhiHWN+LgsC28RrzCp5CzE9B/tnAzUVzp4PKjRhUEqqBJJViW9VWPBEGDSxodH0+HLwOj90L1oQ99pvnP3DD3yJ8nJvsSflQRXEDv78hkvQ2R46LYE+zzKytKKedUlh3YHJGItOXMs1bd3o2JGrYKKsddzNGfSTqjzloAbrTRKLo+dmNOcOWiJZrGLp3fJGhk6KqGw63yeKjaH6JlttF7GuR19bzGU4E/h2MZfuj91+q2JrpKrYlUB1XCzJJfpRhoTlpYmgBBZsbEs5BnZDm1yS4b+EVimNeJahE0JdWRd/vvUujp2Jbkus1QvNgI9KF7OdklJwUDkt/whE8sUZFYE3E592Xno87GlBhZxaehdc7MHgO8FRwLa2uWqhmgqLucOJobXtzQXXAkgblgoGyVbLZWzm0uj33CAhNxuVn4J95LSC+TEiRqw4mymhRjjzUQvRlfCut/DVn+UH/AXgokmAOWou3ENVIG6l5rzsK1W3zqG/FPHLIbkUDcoUmrV3CDW3GzxxV6FF3GDwLZnsuLduXxHpzJaQMtYR8Wv2Ro5EBvR+VkaBbEOyrFSMwzh4WPNbgAmXdUzjFujMwJ8XLE3lDKeSRysEVzLmddUClL/SvWCtoaTvfCeZ642mi0mVLdNnZKDccx2MfzXxrE9St8YSIKsQ1TIbsDRd4HLBZyCuxGupDa7XaCFh/02eiUeLhGiFd0kwReXlcmsYr3UU81fJ7GkEDup+aYMI0Z46iG/IABFuIpjgsOZaSj8+mfu/TVV0hCXLldy7+pGQ2xgWaAzdqgZLsII2MWV4SgeiZH3NSHIoFza0vxltIJtWCMHyPd6p6U36bGSpm6w8Jp/BV2PIFesXcktk5HXVIPV3wjn4d7xrGUnX78PvtLb8FjLpuXaBdQQagMUA5Wc1xNTYCTstT7cN3gaR2yBkblOipf4bDG68mU6X2WV/NuqjlprNfenfdka81Qjv6ewdhyrkV+33FonLYh92uCdYGp6vA0evzO5MD4Sj7fLKiRkOg94+LfrNf3epb3QyNyMgBGKn2JXHeidteiMQnwL6OUEw1qCYwz8fNKr9WxtU/WaJ+/nqNC58a8VbegGubxBL/et3Mmf1wpl6Pd5sA4tWJ6hh/XnfsAOen0G+cl09vktRy3GiG2wEIj1cQI+8xvWQtdfWblBgaNge3jzQuQDKqlX5KquAz9lU0wrC9naTeHQD6BU+BSFafzpoPoRCcbYEOxXdvVx66BjvEhZKNru9jgLnUNxH9uwBeb7pmdQONA/deCS9fzbpk/He3o67R3mU/osYXF7RPh0R3t6Ou0d5lPVFHid5S8nnJS+SCBvFr+KiyAFp4BRwC9pjxhVF7y2edgoSp++HQDYt4iGIMovCs/XoHUucU+Se/DaJ/Yq1wuWkESfrhf7vGNryY8t8jrZ3OcyWkDLWEfFp3fJGhk6KqG9Wmg2MOZurIfum7ErefWrWm+a6cudIhWZw1p5HwklAVegdS5xT5J760TldBaCiTQ9doNw+k81KU9iBSpZoN/eA4suXX6z7/nedpxdL+rXXn9cNN7Z04zNHf53On7IIesfAOCXSW0s5CWL+Rgg/srSdIXgN9LhFVI8okKyedg2swOdFvF+fdJ4g4HZSxfk0FjOXQmHSfNjSfBWsMqdo43wp6ctHYPovu9qTLC3qa8W8h1iSzPMMvuiSQ412f+dbYX9suVxZ5h7k+NS5AwyqbOuO9c7FYuTvnwR1pjH2bwLZz+ugpZtU1zBH6Yein14Oddzqfn0ysIZqRDtweYaLJnVTsaVzYtEpAKxEjKt/63MEURyYb69ayHIjp6k0eV0YFtge8k92XApoM6g3XPoFl9DehzXqjkzxA32BPs8ysrSimee+tM16jpdjVMjDuyb1Oe/kb95r5yyznD7LWQs+TXcvyaFhdtoA0vWRCXRxS+AvKRxRO5Nl4sNe4z/l6zOMQ1K8lY3yxGX48JXywipA0+Kwjv0NjgnWm71VJaQaigJtEaWM1rIqxgBbuOH4IqCkGyeujcHhxXmZ7ZGzL825lvxXAdC0SxjXnFaARMcIUkbYfIze7UQseXQjUGMj5VqDU7NFjT5Bt2wQUnWzDY7Jdo6LdEkquB++nwL+LJfHI2KaBl5Z+q3vwWsRfe8bHavNUH0HYynQanVI5yYfu+Vjp6i4R/rHnDiqbcWqCMvN+y1tPx+ygLmVp2vDSbKYMjZ/zrjsQZ/hqxECvWA1sFiqGb30T9D8UoLKNcUVqm+014zQQru/Oyr+xrh+tAjQCHZJVWcsJRCOBcnrM+E4tTRGnHN/vLAeMdL3uR1Dz9e1Nn3Ty6PDS1TF2xBxxa9F2UK3q18T+d7H22kFsbDDAVf3oj6leq6hTunRxF51SWHdgckYiKH2hNcp08H+Ec54rSd31rYWrZMv8NpCnelDFjO4xCAnTq6fCZayd1dijJzV1yjp4GpF9vtNXtwRmoKTgNbOtPx+0qZ7G4JeVI83fIIAN+NjC4TQDIwdFdOLimiePQpQvZsAelftgUj7u4EMCvtW28hJQzBgcWPTHuXnWQXiRIR0lhnIkYYdijYj2NDq5sAN/6HpdQuxkzP+WDdo9EVrFlsqgLN6iehZd2KMnNXXKOngakX2+01e3BGagpOA1s60/H7Spnsbgl5Ujzd8ggA34218HJ2tbuJXvZUHxeMn/fmhICjPHlzNEW7hgD0uNwoPFOqserU+psI3XmmjtPQ6V8axTDIQwoD8Dp9CCKlP+JS42PY9SWi2WxzGK7BQFiyK9tvU+Ar72R2J+/nqNC58a8VbegGubxBL/et3Mmf1wpl6Pd5sA4tWJ6hh/XnfsAOen0G+cl09vktRy3GiG2wEIjQRJ+uF/u8Y2nfVYmRGdj6iLUtJ3NYsE7tPmlIoxo8R82DsWptE7b6hpO98J5nrjay6G0Gj5vX0iIZ2JTbuhT+ParOO7CaOPOXvfuKam6NzTs8kaehjDYc+mUo3H1AimI5rF6W+hl7mJjNaMO1AHrKckXwg6CEr3iDKN+5s/O783HQ9xmvtA5oRbBl70GGuMTTa5Xc0PiyrGaAEFmxsSzkHdGa0Ek73ewSfqRRnwRAeC9JCTq313k/yP79pciQw3xa3GAEQkDdW6GEMnpDEZx2QMPUQMi1fHlqJV6TqQK/BeVEd+nIYTvewABWZXGhdg/G7i6NEqamKjvbzSNElgjsLU2XUa89t5b73f0lD1GpIxrcYARCQN1bl977bxpCGi2ksKa3PMfcR3gNe116TkirKwWkioEricFyKQTyT5JBl8bGHUhoCQIkD4aCZu4yATVsypjzahQ+dPR5rQEk9H9qSMNYNWEwENlqhThKcRskayhp/DZmdDvBK7m/CQP8M9mZkILiL/DoV6f9Z3yYW/dgISqfB2qF9HvmgBBZsbEs5C20L836/FeMTuC/Hw56iugdCEgmHOodlRBWiM8aHpc1SLG0YvpeyF4bofSpMbfOQC/8WBNinXB2omTz0+MZrbiuda/mDo6h9JQoM/EiAyeYCEe/2zqyUcmyCKxBQhxJt32vwob0AeMfydeuJ1tGl9MDpqpwxFDrm0K0z/0pgRYp9vlkHC5c76zG02BcQuEhrBoa/ShwEC+OP5G/ea+css5w+y1kLPk13L8mhYXbaANL1kQl0cUvgLykcUTuTZeLDXuM/5eszjENSvJWN8sRl+PCV8sIqQNPisI79DY4J1pu9VSWkGooCbRGljNayKsYAW7jh+CKgpBsnro3B4cV5me2Rsy/NuZb8VwHQtEsY15xWgETHCFJG2HyM3u1ELHl0I1BjI+Vag1OzRY0+QbdsEFJ1sw2OyXaOi3RJKrgfvp8C/iyXxyNimgZeWfqt78FrEX3vGx2rzVB9B2Mp0Gp1SOcmH7vlY6eouEf6x5w4qm3FqgjLzfstbT8fsoC5ladrw0mymDI2f8647EGf4asRAr1gNbBYqhm99E/Q/FKCyjXFFapvtNeM0EK7vzsq/sa4frQI0Ah2SVVnLCUQjgXJ6zPhOLU0Rpxzf7ywHjHS97kdQ8/XtTZ908uTiRFPakYOSST8Houzo3Trlt5R+GSVATOE4yXOJzeP7eHQNWMdVs/udUlh3YHJGIih9oTXKdPB9MoXSUBzpN4V0iyHWwGqEsatGzTr7MGxDd4Ee1ofC8Dd9gd6+0tjChxCVpwW4IgyTQ4UQyoU1xhc8YDIteo27A2bAHpX7YFI+7uBDAr7VtvISUMwYHFj0x7l51kF4kSEebToThlzO4OeKHTWjmEmUntzaCsI4ObOHlg3aPRFaxZeJgpzQjA+5r32B3r7S2MKHEJWnBbgiDJNDhRDKhTXGFzxgMi16jbsCqWHn2gXlSz43G2gTf9Or41Pgeq9QpiEBTdJNJAAV+RF6B1LnFPknvFrbidQ27nhicKVpY6m/u8wnmZhpxoiB4xHpHa0LK+QYtAtv5jaB7FPkuz7tefZl2yqXjJzmb/AxH2dND39YDaYOaY7r9usbZjvzGtUHYeWlxQ4G6W5FMCfpJBgnvFjG/+4qqttK200wzyHkEykPH/F4OHDKAdBG/XBvX5yWML3gNKB8I5TafF/ct5flKFCrNDnRbxfn3SeL/q25IQswUQcEyAfrUFuyG7fMKUd8a+/dDRiyxdtdiHmAMsox7csONXiIammfV2Ld6+5LnX3957aY5z2OwG56b8eKVd7LRkNmVLGoU5TgTSJgaZfLptRCRWEFQMxo49Y0FalRq4U+Ai2VgZKD3j7gCHYzRT8Bmqgz4yZVC2OPqKoVAZ3o2pNDX/WuPEqN92+FChbkSI4+6fJPDBwM9eMcgCWMCbqdlLLuPrTUpnkACy6K5/7DGg0veW0a/03s2Ao81NUXlgSzjtBH5iMamdPbLqDyQLGHawL2EV4Sxwmt6uA6aqcMRQ65taE+JlazObgBVmMkPOIMsmMtgiYZBD5Cqt5AMRNKlxRDcJACNRbhdd7f3j855dbpNw3OLcDpWZ/8Tkkr//jD21tT04c15xgXoEJ8uwP1mjTYJ/88J8MhxH+yhZ52KrUmHT58dPxBDBvZ8oT3UiTmVdaXeCPD5TH5S5kcLXwhIgHOK5Okdd7YhyAzEslwiQjI8QW1P4XYBHn9oBExwhSRth2okkQYacKE5pLyUCN5odR7ZGzL825lvxVduo5Dg4zbTuda/mDo6h9KtqTYFXKolow86QhA9pWZ35vwNCllLF3TWwhgB06Qa6JrEGHo9+VS2BL9J6emc2T034uCwLbxGvOJIpU8LO3jfW5IPNVZ85x3LZbFWUdy7XyOKLbtKLe9GWVvr55OYTqtcJ7YHh/h1x653vlKHXaoE7poxyHv1R+E/VuxpyRpSsISUMwYHFj0xDXDi6zKls0FIrFkC/x/btlTtcJFpDEimu4DPg3j0+jdLjQuUC9PaYnBPN0Jbsd12bVXEe5iuEdZenXxh4v1NjIcGCUW/ttIYVoKbaBdZInuElDMGBxY9MSzXJUUgtnHnz0T5qMYd4mRTALzIN987tmUDld5XqM5XF3nRZmARl0UaMkwiDFvh2OQWNnU4ibAZwytMxXdWqnBbkg81VnznHWsUwyEMKA/A2qI6FPF7qapbxmuSCj3WDT4z7wom2Enn7cj59Jt2IeHIAZiZR7SWJEWO2ac6fg4T/bacraI6ZhAadHK47jjawgDb769sHJEc3n4GiPz9ras/cVBjJ/dF6GEytStSr5wQXIxQwzUu2ABxscNZyg1rJeEsr5Cpq9Eb2tHkxN1OwZH1hH6SXOPOeQVfzPdKerEdLqzhdf0yf0MmuxHoLDjPYD2hEPruxr48AQ6Fm9OOBofWvIslqhFdSNy+XafvzdbH"
res = decryptByDES((ciphertext))
print(res)

在这里插入图片描述

至此，大功告成！！！！

遇到的bug,解决了好长时间

问题一:python调用js代码中出现了bug

在这里插入图片描述
解决方法:
导入execjs(import execjs)前加入如下代码
在这里插入图片描述

import subprocess
from functools import partial
subprocess.Popen = partial(subprocess.Popen, encoding='utf-8')

问题二:python的DES解密过程，如果直接用js代码里的key会报错

在这里插入图片描述
解决方法:DES算法中的key长度为8字节，在python中需要将key自行截断到长度为8
在这里插入图片描述

冲啊小黑黑，趁年轻多去学习，拒绝摆烂

在这里插入图片描述

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