Bugku-CTF加密篇之简单加密（e6Z9i~]8R~U~QHE{RnY{QXg~QnQ{^XVlRXlp^XI5Q6Q6SKY8jUAA）

简单加密

e6Z9i~]8R~U~QHE{RnY{QXg~QnQ{^XVlRXlp^XI5Q6Q6SKY8jUAA

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P+a5HCUv+iUL8EWNuqUkjrnctl//kIaCOCFq3RxKBNXenFbNx12k7kNVq9bqlt9CYie6eu8WP1by6abNCKPgZT7zS+aeEtxf8JrqI/3dm0afPYLxSp0th7+YQuoC0IWrRGt6DVuro1maDtVS9B2yv/d7K6wtRnQ3v+3PQ7aCeqbB6BYUXQojW6Be2g3gzVq5xBqzcM6Y1D6l9XtrFBBW2d/kzdoC0bO9A2BC1ao1vQ1nmQr2pbFbQ+dAZdqfEY/QmM/hRGv2Ro/LGysKoTjAQt0B8ELVqDoN3br665tmijz3vWpy/FysKqTjAStEB/ELRojakM2jpv5imrXt51nKqyNwl98sknxf90Vd96nVav18b8p0b5z4SuE4wELdAfBC1ao1vQal3d6jVoJ8PG3S2sevXc80vGnjZ+9LHHO0vHswDU/v1Ty355nSJogYkjaNEa3YK2zpuhrL77vaPC8uXvdnr4VJuCVh9D+O+nnFb0qz+xif+sx+gDJdRG5+aZZ5/rLCVogUEiaNEa3YK2zoN8FT21qv7bELT6V3O6mlW/192woLN0vBXvvz/2X2/iD7OwYNQHSTz/xytjHW9c+h+/+sziOmPvNbh7LYIWbUbQojXqXglNhD7B6PwLLyr61+ueev2zX/odtP7fxk078tvFh0Xo72f9JzXFder0GeM+jL/OFajOsc61tidogYkjaNEa/QpafR6w3iCkv6m1p5K//JWDxx7U5132i+Q/IZ+ofgatfiE446xziv70dLD/t3j2CVFx6fjeXras0+pT/Q5ajUtPX6eujCdaeiPX1w89vNg/QYs2I2jRGv0KWj2I22t/celq1v/z8n7oZ9BqbPZOYwWu/+B9PTX8xJNPhWuvXxAumjO3CF697pz63OB+By2AcgQtWqNfQatwevGll4tQ8qXAacNn7Sps9e/k9BQygOYjaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBRpkz549YdFvbg/77f9nYZ99/zTcfMutYffu3Z21e1P7d5YvD7POPjd84c//Mnxun32LbY857ifh6WeerdwWwGAQtECDvPzy0nDAFw8sAvOEk04OW7Zs6azZ265du8KCG28Of/L5/Yr2qZo56+zKPgDkR9ACDbF6zZrwj//0nSIg9VW3y+hK9pZbFxVXvaqzzz0vrFq9uli+YePGcP2CG4srW/V10Zy5RSgDmBoELdAACkIFooJRAfn8khc6a9LefOvt8KUDD6oM0kcffyJ8fr/9iyB++JHFnaUABo2gBRpAQWhXp7pS1ZVpGa2bd9kvipCdduS3w5q1aztrxtuxY0c4dfqMot0Pjz6Op5CBKULQAlPsrbeXhb8++Gu1n+Zdt25d+MYR3yraXzr/8s7StEcfe7wI7/0P+GJYuvSVzlIAg0TQAlNIV5l605NCs9vrsmbJC78fe0r4mWef6yxNW7VqVTjk7w8r+l94622dpQAGiaAFpoieAtaf7ygEdUX7xhtvdtZU05//aJsDD/pqWPbOO52laVu2bg3HHH9C0f6c2edXPiUNIA+CFpgi9qc8ujKdM/fScMpp08feKay/iT3lZ6eH995b0Wn9mV9dc23R5rDDp4X169d3lqZt37597Ir5+BNODFu3buusATAoBC0wBRR4Cj4FYFXpb2QX/fr2cVeis8+/sFhXJ2jF2hO0wNQgaIEpYG9SUgDq6lV/96q/f5WdO3eGxY8+Nvbaqq5yf/u7p4t1QtAC7ULQAgOmdxXPPPOssRB98qn/6qwZ74MPPgyHTzuyaOf/PIegBdqFoAUGTFeuFqD6e9iqNyjdedc9RTt9OIU+pEJ6eY1WV8d67ZegBaYOQQsMmP9Up7KrWaN3Iv/Fl79StLWnj3nXMdAuBC0wYD5o/WuvKam2/B0t0C4ELTBgerpXT/sq/Lpd0erTnPSpTgpWBazwyVBAuxC0wID51027vUZ73Q0LinYKVgWsqD2fdQy0B0ELTAH7JwJ6Wvj1N97oLB1Pr8/aZyBfc+314wKZ/94DtAdBC0wB/xnHCsx777t/7IrT/p+s/r5W67/zL0eN/Y2tUej6/0d7+swziz8H0vL4/9Hqf9V2+0cFAPIhaIEpsmHDhrGwLaujj/1x+OijT58yjik8F9x4c/HpUaltVTNnnc1TxsAUI2iBKbR79+7iDVE/+Ldjx65A9fWY434Snn7m2WJ9FV3BvrN8eZh19rnhy185uOftAeRH0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZEbQAAGRE0AIAkBFBCwBARgQtAAAZjXTQbt26LRx/wonhc/vsG2aff2FnKepYv359OOzwacX503kclN/+7ulivhbeeltnCaZqLgDUM2VBayH3pQMPCm++9XaxTF91Ww+kcfl2omC0dXqQ0YONWB+9PBDrwdsHrT1wWf/+AcyHs69e9md9pLbRWOJjrcMCyCrVh9r4c+VpLHacZceoUh+i8+XHn5q7Xo5D/ZW1t3XPPb8k/MtRPyht4/edmrNU/zlCqs5c1FV1XCaeC6N9HvrNI8bt28ambWLqQ+vOPa98LkTb2v1I21hfZfcbG5ud69R9UPvSPtWX1pXNcxVtGx+XHVPq/KitHacqPle2rS+7/xsbd1Ubr+q+KBqT76vb/dLax/uM+7HjTx2n+PuFPy8xvy6ebz+vNtdqL+o/Ne/Wh7XzqsZhtE5tUts3yZQFrSY+deJj8YSJvve3/STaia+6s8fU1vqz/fkfTL8/u2P49b3uM9WHUR/d7lye9RWfSxuT34c/TzG1Uz/qr2p8Yuv98Wp/qQeqsv2lxPMq/nyo9ACcOs54O+3bn0cbsx2j0XbxsomyfdSZi256Pa7UfU/bfvd739/r+NRWD4zx/KlfLbM+U+PVcen4bFu1sTGmtvP9im3vj8u2s2Vq02vQqq3ufyp/XBKfM1Ebv8y29200nrgvT+vjflPH52ksqZ8J9aG+4u1SYzfxMRht4+dc+9JtfVXb+Dht337eNI54LH5/8ZyJ3+/KlR8Uc2h9atvUcaf6EbXT9hqrH1dM69QmflxomikJ2rI7SIomwE+QTYDf1iar6oeiiraziVa/8aRpvd2BbF/x5Gv7+M5SpqwP6eXciPpI3YFFfagvOy/6WtZW/XQ7Rk/H6tdrX/EPsPaj/dn+u4nHG48jnntbX3be43Nj47H+qs7HRMT78+Jjq9LrccVzIdqP+lAbfY336/tIzXfZscTLddvGWXa/0Xp/LPG5UHttp+1Ffcc/41Vsv+rPjtv6Mtq/LVf/OgZ/TrQvf/9Vu5+dfkbpGLRt2c+p9R+fh7JtbPz+HHnxORf1kbo/WV/xvo22i48zte+4/7jf1Bzp+/ix06if1P2pbP92n3hk8aPJ7UTLtE5tqo65CbIErQ449XSC2Mmpc1I0OanfvOMHdJsstVP/vfyQiraziU7dUbWuar34Nt2U9SEaS9kPcKyqH+PHpb7L7rTqQ32pzzr9ap0/3tS82Fzb/Nk2Krt/+D5EbWyM/nuxcVl/qX168f7Fzq+dC79OtE8bm5UfQ5le50Jfr77mumIb249t2+txaTt/HuPzpK+6reXG2mg7bR+vT5271DH6fafWi9b78YnaWP+p+43/GbYx6mt8rsQfn43Bj1vseKyfeDzxOY/HEEv14Wk//pz6/cfifcfiubBjLNu/lqu9tovF+1JbP05PY7V+/PcmPgf+mON50NfUmFLH4reN+/G0zPbnv2+ivgdtPCHxCdAJtR8WVVmoaHv1E98x7cTHE2z9aLvJBK3x4/RjsP37Zdq+bjhKqg/TS192jrRNGe3Dzr/ape7s4ttVjc9onT9nGm/8YKH11qdoG51PG6/aWugZ2/el8y/f69hsnS2rOh4pOw6b23jONR7/G3l8u0qvc6F9+3nWdna71+OK50Lbx8es2/EyO/9l97d4/vwYjd936nynthFrG/98iY47Dtr4fmP3NTuX/lzpe/Udnz9tr35S59b3abc1brW3sv2njjOmtn4/dgxW/pzEbWPx/vTV96WysUk8dj9Of5xaXme/qZ9F48di9wOxbW2bsmO0dn5bjc3/3GkfaqO2nraxY1PbsjE2QV+DNj65omX2FIzdAfzEpybb+kmdXLGTahPsJ1nr/A+pb2ttND7ft2777eMJ0zprb2Pz+47HL9rGr/Pjsj78eTDar/8htHOmvqy9vqr/1FhjamtjVzs/7riqjlFl+/fny/hxWsVt/Fik7DzYOH1bUX/+WPV96tybVP/+2OL+4/50TPEPvLaz+bG+tF2vc6Fj8efHb9/LcaltfJ7r0rY2V6lx6xjjq594XxqDLfPn1qrsOOx41SbuU+vioPVt/PH3Ip4/Lz7WmJZrO52nOvv3c2jb+vb63tb7til+f3be/PnQ9mXHpOU6Zm2vfvwyVdUxiPr225vUOfDHZOu1vZQdo7XzxxPPt7bx9wfR9/F8af9+uybpa9DancAm0ZdOtCqeMNvGJkR0wlJ3nJR4AuNJ0Ym3O4O+aixx3+rDJkhtUmMsC0l9je9A/ji1jd2xbZu4D0/b2visnZ0bjVH92P6q+jHaxo4tPlee+rAx1+lX66xf0Xjtjm/b+/Xi9yFl+9H44vuEWHtb7veZkurHxqB1qX2rrd1nVX5fFrrWr9bbMdY5Z34u/Pfix9rrcWmfvq86fB8qfa9lnp/HeJ/G7zs+B/qa6lfs+FP9allV0EpqWRV/TjUujVPjNd3Oufh9dtu/34eOLd6fP+5u+47b2v3QxOc95vuPv9djTdl2kpof0e14bm0cWue/l1R7sXZ2Lm1//mfQyo9T36fapPbRBNmvaD1/5zPxRNaZfGNt/f7Un/8hrUPb20R3G6Mdo40vvqPUVfaDmtp/FbUvu3PF50dfy9r6/cbHmKJ1fvzal3+wSM1NfGxl+4nvE8ba23K7XXbu1a8/3niM6kdjtNtqp/5S56eOeH9efD7i+ffH3Otx6XZZ2zJ+/1X703i0Lz19qDZq6/l9Wz9a5m/H/Vqffvz+tr5WBW28n27i9nau/fbxfSPFjyO+73hx//oanztr0+t8x+dOup0PtbXzGR+nvuo4qra1cXrdxmHf23bxfk3cf+pcid9f2Zi6nYeplOU12vhEvb9yZfE1dYJ8eztRqRMds7bxnVP7mEzQ2h3Pj1Hr4jH6ybTj6mWCU3fw1L7r0PjsTmisL39+1G/czqTmoep41G889vgHSfvTGGyZ34eU7Sd1P5HU3Fpbf5yiPvUbrvVRti8/t3Y7/i25l/nQ9nXmQt/72/Ex1z0uUZv4uKpo27Ixxsdq49A+U/vQMhtj6hzb9rYsPk6x7awftYmD1s+RtvX3q260b7+9xH3oa/xLmB9jap/qN15mx+f3lzrmeEzWptt827my8ylap23VR3zuxO8rPk7R9zoO36dJjV1sud9G39s4bJx+Ox2brTd+blPHZvw4/PHG/LE2Sd+DVnSw9iCl0oHbxNoJ8+vspOgE+u18+Tu09ZE6oVo3maAVu+PZvv2klt0ZbOzxD0qV+FzEP7S9SJ27+PzUvYPaMcb9qdSHrdf3RuNO/caq82HbxT8E1k98Lu28+P5FfWtuU+O3/fiyfm0/ft/G9qV1Nyy4aa+xxGOuQ+OOxxL3ofH6+0rZMVcdl9ixxduVsbGl2qvf1Dotr7rf2HHYWPz4xPY588yzin78cRv7mdM67ScOWt237Geyl58TjaWsvfq1dSq7/+o49I5wjVX7U5Udv9rbuKra2vxam7L7lMbk+1LF59POs633+3vr7WXh7nvvG7e935c/Ts+OIx6XjTt1f4mPyZ9nG2PqvuTH5u8LVXMlavv1Q79ZlN/Os+OIz9lUyxK0baM7Q9nEtZmOqewHerLU96DvzPrBrvtLlD0I9DJGHVN8P+jXcfZrLlLHNRVzMUipeWkyzYUPv8mYyP24CcqCdlSNdNDanSH+zWpY+OPr9x3eHgByBXkZHYeOp84Dj/12W/dBz58vq349wPVzLuLjmqq5GJS2Ba1ovP26//R6P55q9jM6rPfHieCKFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMiIoAUAICOCFgCAjAhaAAAyImgBAMio70G7ZOmbFEVRI1U5HXPSdGrA1W9ZgnbTpk0URVEjUYMIWgwOQUtRFNWwImiHC0FLURTVsCJohwtBS1EU1bAiaIcLQUtRFNWwImiHC0FLURTVsCJohwtBS1EU1bAiaIcLQUtRFNWwImiHC0FLURTVsCJohwtBS1EU1bAiaIcLQUtRFNWwImiHC0FLURTVsCJohwtBS1EU1bAiaIcLQUtRFNWwImiHC0FLURTVsCJohwtBS1EU1bAiaIcLQUtRFNWwImiHC0FLURTVsCJoh8tQB+1Tv3u2OMCy0vo1a9aGCy65PPzmrvuSfVAURQ26CNrhkuN8NypoT/zZWWHpK68l16sIWoqimlYE7XAhaAlaiqIaVm0N2g9XrQlzr7g6HPfTGUWddcHc8OySF8OePXs6Lbq794FHwknTzw7L313RWTJ5u3btCgtuvT2ccsZ54b33V3aWDg5BmwhaW6aTY3XF1TeM2059qm9bf/NtdxS3tU/fjqIoqtdqY9Bu2vxxEayzLrgkvPTHx0fVeXPmh1/f9Z+NCNr/uH5h0e/b77zbWRrC0tfeCDNnXxw2/vGc55TjfLc6aO22D1YLVWtjty1UfegStBRFTbbaGLQvLn01HPvvpxdBORk5grbM/Q8/FqaffSFBK4MMWrU9bdb547aJw1df4ytcbU/QUhTVj2pz0Cq4Xn7l9eIqMvarGxaOCzaFqULVh7O+P3H6WcWVsJ7qVZ8/v/TKsH7Dxk6LT9vMOPeicOvt9xRtTzljdnF1uujOe8OPTzmjKH3vx6B9+wC/6bY7iqe3dS5UOQN36IPWTmJc8RWs3fblr1RVCtcV768sgjhub20JWoqiJlttDNqtW7eFi+f/cuzxUgF42x33hK3btnVa1A9aba9wfe2Nt8J9Dy4ugvOqa28aC061UQBfd9Oi8MZby8IFcy8vQvPCeVcUt6+8ZkGxfsmLS4v2Egftlq1bi8f002ZdULxuq6e+d+/eXazrtxzneyieOrY7iybCX9EStBRF5a42Bq1s3749PPTok+GM8+YUQaf9XHbVtWHHzp3F+rpB6wNRQa0A1RXsps2bi2Vxm+deeLHYlwXrsuXvFUHv+42DVuLx5JLjfLc6aFPbELQURQ2y2hq03gerVoczZl8cTp45O6z8cFWxbCJBqzdS/fK6m8dtF7dRwPqgTfVL0HYxyKDVV93WcmtjIaqg1W19te+ttJ1OJkFLUdRkq41Bq6d1t+/Y0bn1WUD6K9GJBO2WLVvD7IvnF+9m3vzxJ8UygnYIrmh9YNp6LbMAjq9e7Xa3fVEURdWpNgatQu2EU88Mi+68rwgzPYWsYLt50Z1jf95z+z33h+NPnlm80Umvv1565TXFWOKg1dPOVy+4Nby1bHlY+Ou7itv+z4T6FbTX3nhbMZ477n2geJ22lz9D6kWO893qoFXZ1amVbusKVk8Z66ljtbFw1Xp9ve/BR4r1BC1FUZOttgWtAuqjdevDtTfdFk46/eyi/5/OODfccc8DY6/Pit4wpatcvXFJ7yi+/5HHwunn/HyvoNVV5m133FsEt94IpTdV+X76FbTvrlgZZv7xiltBftFlVxVviMqh3+dbGhO0gyyFug9iiqKoiVYbr2hRjqDtsewK2J5G9svi120piqImUgTtcCFoJ1D2zmOdPCtClqKofhVBO1wIWoqiqIYVQTtcCFqKoqiGFUE7XAhaiqKohhVBO1wIWoqiqIYVQTtcCFqKoqiGFUE7XAhaiqKohhVBO1wIWoqiqIYVQTtcCFqKoqiGFUE7XAhaiqKohhVBO1wIWoqiqIYVQTtcCFqKoqiGFUE7XAhaiqKohhVBO1wIWoqiqIYVQTtcCFqKoqiGFUE7XAhaiqKohhVBO1wIWoqiqIYVQTtcCFqKoqiG1SCClhps9VuWoKUoihqlAqr0PWgBAMBnCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgI4IWAICMCFoAADIiaAEAyIigBQAgmxD+P3SuHemc+gZuAAAAAElFTkSuQmCC" alt="" />

本题要点：凯撒加密、base64加密、ASCII编码

首先观察一下，这一串编码........

不像是常见的加密方式....猜测应该是混合加密......

通过这串编码最后的特征.....AA......（base64的编码特征最后两位是==）

猜测是凯撒和base64的混合加密

首先参照ASCII表，A的ASCII是65，=的ASCII是61，偏移了四位。

参考大佬的py脚本~

代码1：

#!/usr/bin/python

# -*- coding: UTF-8 -*-

def caesar(text):

    for i in range(len(text)):

        print("{}".format(chr(int(ord(text[i])-4))),end='')

caesar('e6Z9i~]8R~U~QHE{RnY{QXg~QnQ{^XVlRXlp^XI5Q6Q6SKY8jUAA')

运行结果：

aaarticlea/png;base64,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" alt="" />

得到base64的编码字符串~

放到在线网站解一下密吧~

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" alt="" width="987" height="292" />

key{68743000650173230e4a58ee153c68e8}

代码2：

本人根据上面代码1改编了一下~

#! /usr/bin/env python3

# -*- coding: UTF-8 -*-

import base64

text = input("请输入密文: ")

info = ''

for i in range(len(text)):

    r = {}

    r = (chr(int(ord(text[i])-4)))

    info+=r[0]

print(info)

flag = base64.b64decode(info)

print(flag)

运行结果~

完成~

参考资料：

https://blog.csdn.net/qq_39629343/article/details/80148403