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刚好可以看到存在解密,点进去,发现有提个创建解密器的函数
打上断点,并且我们发现上面有enc的字眼,初步判断为AES或者DES解密
刷新网页,卡在断点处,查看调用栈
发现堆栈有两个 decrypt ,点进去加上断点,再次刷新请求!
参数L 看起来就是我们要的解密数据,顺着断点一步一步下去,发现加密位置
将代码扣下来
var tp = require('crypto-js');
function decrypt(e) {
var e=e.replace(/\s+/g,"+");
const t = "uVayqL4ONKjFbVzQ";
var r = tp.enc.Utf8.parse(t)
, n = tp.AES.decrypt(e, r, {
mode: tp.mode.ECB,
padding: tp.pad.Pkcs7
});
return tp.enc.Utf8.stringify(n);
}
console.log(decrypt("UmFJ3FE0zJK40J8tDSlJU/Lhp/ASU1um9TaXmDAZ0kG6OJ7HCbrZRLmPDYDOXD/l0tTp1Mci70iUkfLAXGzNUN6kwED8CxNFCXE+Z61Vgxdyo9qM7MgFJXCyCQ8mLXELVGFFeEIe+1rIIsQUo/i2bNKRDXXA3Hy1K2Rpn3qlyLth55PCF2A68nBV5JEbQ7IsjXqoSM+Gvm/TrJgPZvsOPXzT/d/HU6wq/Y5SjH5l9cZLHD2OtFsX4AP3UmyVsuMLaClfpjWt8JUy2IaSLDNxXehW16HXyZl7Noqze4sKACEHeHvqhmM/J1zVA7bW8EYAj4aMepUUbFuq7ENWGNnbp3EtFY3dgPSUcmV1ME9BP4zntXrAFoYV7ipOyAVG7PxRykxh69WIn6Zw9lp6omXedQgNMOVQnCCSFWPN7H8BAYTCuqsAq/yq/hfvHCUEiP3/GDOXw89Kem/COZdMwKivHysw6Zh/HA9/0ivmeElatDGpi4mT0i3mvfAAEmSeDHEVYQZL6bwHCxl0XeK0+HO4n+GdtXyHV3KiVFCRL3coYPzmTdH7BxgE72Rjk9+WyeINJzbGXqtyAZdLx5WkzYq9AmlEUT8QmOjGP/x7pFBSqHzIiL3bWO8LZdM8m9VA2NbWcMbLYyRMc7iQgQLr53OIOfEXm5R2pfSPyP6fCQS6wm89bOZnpOiwuU+Ya2LhO61rv78nvEQ0Au0PlNspg2qusM59J9fJ9JnLRp7I57fIQk+LQ27yzDOrC3lLk2r+SmtJV57lVSAIsDPVZYhJLYid+Lx9Kx41kzLkVom0RCCezFJQnbeJ8aCcQ8BYBd+fi+z/lfRt1aSGlmKgExZ21aMyqrB3SywfgjIOqFkPiJpRR/ittjmPg8+CcsOfvWERHovLJP6IjJ9WEhu1+Y4SrOnPkFN9gnr7ES378CeTq0rPsJ9eNLM7GzqwHJkHg/UEsrdrzb74eUAQch60rUceDM4k8hkWVJb2Ie6upGlAEwIa4QFdokRi9QersNCOI0qYZ4zrl9rACg8qdpq4SV38EzWQiiPhxYvRN2Bfb2t7UnitShkBqOIOM4/rHn6sVCF7tU2r84p/6MBuqRX9SVR14yGRi1s/czJuNEaGIe3j5S2MG12DTQ0HY05R5k+EOxAi8CGEx692mSw70PcfP5zuz1sLCv96mLCSkC7/9PslV4GdaY7eBnzLzoCJf0cgh0WV+/BP8AQKAUK4NUqEm6L6w0Vo5uUewsiVyoU1jKYvZvVIOndJrVbQF3Gb36YhMwRYNsVRjCMdmtknNafcKoB4qqqCtvmDLllDUWBzZyGHahdeFnoXLZoFPSAyElAsxQDwPrxSJMFsBcaPmGE4uX7dzp7qfNf6mgL8ylqBOXfd98gwMkaJta9FTqCnRGD23gmqJ1cRg6zsCc52k9ttT5jpG6DnlAEh4n8QqPGRELuUUrTm9a9KJFm5R2WKebnoZgRp+BG7UaALL4y7TN+yaIrS0I5xulibovxF4sNPH6DMEWZTFmdunI90fFlPbpH2P3Zqw4yFRMvG82P51IOds7ihJEFRgts31ZaHyIXnf3XrGKY3TkpI3iP9pWuebs4u/q213klU9j3U0J7kivT58TiyVZcDy7heoVUa0DBniw3PG8es2YQrRD0jjjmpEr8uvryBsVfPMDnGWBM3jxb7/kAJY4Z1qxXIxiz3SYKopf1J6hZvLgXxE2Z/Q/kdiySb3mPKNMcRgcFdeNdeRbmBiwBi9shUH7h0cRfXnxkpQSB8kxt4lqhGVksI94hDlXcAUQk90foFehGzGmsABgEbp2QFQCqfaNCCcuKZX/bKeRtiEiFGhjtbMYmqldHrO71fiVRIEThRR8HmL5/0pQWMCCaRw40SkpBTYYvxB9cCyQgcajMY4eoRyP/WRxfdbuoGyMHBa1l30CPM/+PMT47YJGBOWzOD8YpJmO1pi8R18FVIeg9HW5Ji7aeM8taYOjDsWSqn2+yDmWP/zwXBllZXs87BvrCId6UmkSTSIo0fTLL5dsThxZaahS2SpHHOYgqTQKB+oOAXyrYlYLIFpe+CTyhvUZ+lVjyH9nnUl9ih9fZVsbj9ZG+8blm8YHhGvcizvbCeZSiFf26F7femkpOdeCJO/QAFTFAGKq7ouIQEkkBxC8D5IiXCMbK6hbLPV5PeJMysgEbTcYk2ktphFr58rlRV0i6r4wgjIIh6pJsLtL+M7uc9fQCl6wSvzpajwqzOz32a2RU5nOnTHvRMvTBlvDFm8BBYMAoO9uvqNST9boYo66AUPt263Ok39+PpnqUaLVjk7LFbbD2ALTWNP2HEYu7dD5+6UpG3BiJSiyMF8ps1hMeVQ0bzJu7Azhk0zN5yPrLsCqEKZui8E3gHN7CSjFggnRtJfrZIGqs14FdsH2d4atgl51jw/Qu1fpWwQO8SDhER7VClA0KbHcAS6+Y80X2jUve2W/vGwu2CTuw9jz5CI9qj3XTqoeR+Wgy3k6fnhkthrjhPSN4j/aVrnm7OLv6ttd5JVPdxPiliOLeQh3gdD/k6DgBj1b9u/KILwDfayUJfGXSn0rtuCZv8T+PzYZ+NPIYYt6nTh4lklMODLGEi/JM3EBEOOGeT/CYIJDqIyAmli/Dz+zuTQSNIJ1cSrMQGyNpfTXUZtzVkzz97qSmyoRZHtdhKMdt6xrAWfEAXrk4a6nVgdnoATaGhzt23GrHqQNwJw4JyA1FqB7gS2kllal+HkwTvHnDp8ogdTBq4xmF5qUjSZbxrHWwYDoBTdXfpbFnWw/lGLPAY98Ru5RA6fyOm/9OvckLlD+xAdNWf27yzUklLNOjFI94AdhXsOOskO749vowJQ3ySWq8K5YjpvEwOSuzcKrcnr+pxgnnr2ARpQADf1rpezX5j8BFi/qusZZ/KuwaJ7RpVWlmpmvfgpVsw4afx3msBD6KprxiYoa4lgcKdoKm7PXerLPYVjPXC0iisRxCrIhZTAP/pgseHUMVn+Nj1r3/HdbFCx0LYKf0bwKgkyRzeCc+BZA3/4j+oUJ3IOND+s7aKgoKj90trpOBbv/WeUL4LuVMY6AKkbnCl+Kbvt/pznFrfbshsIVjutZ7FnYRJQBOsOhykL8nMghtZvEwh7e/gBtDzJpTxgHwkyThNLIraH8QOymhWeecFCzimRvXm8s8/RNXeXhGQJEDz6VWxSQhgRbY39xGHS87WuppdBWwkGu0euuP/0xHnGT/YA6QNA3itX2Cz1NGUJJ3nTiLCkz/79YPcP514AfabaZJrOR0l6oM2CbY3hw+Fz1SBRRxLn5qvI+k+UtdcJGjDoEY19BaHXwlsAf4sDZqfkghgDh7cw4NNsC1dEiCsOkA+HUHII8+KstXZX/Gh4v2rMb24xQ8p3gu1/PjXGMBavyG1hWxE2J1GBk6fZMKMM64NVhtIVAS9nBKgA5qGoK4gy46EM18OURBmQIT/eOC4DPktGtZFKCS7/xrb4CKRBQqvLHNHMF37HkfaQrMBgnBPar/Q/R+FJm/wnwxcJ2f7JZ+pk2VlqikFHdtc7MYZ7LlOLRBnCzZMbZeFXzMGfntLO2w4JVoxjgOGsC/ijlpBtpgZh3OlSFX4phFmcc82nqBz/LNMHjdtef25424UuCOR2Ds+PwnXSiJkW6RG5diDTYk+Z+qVbrTueEWka0EeSUHkwM73ksRvjmWHQgN1Ykd4hkuW/wG8G/uaG+YE6PPxuWee/nXdqxb4adwOmQCAthEtB4BxO9TPaZBVjZMd2vR9F1rTTHWYLs7nVbE8vo2RLUbcWeddEZsf/kKG1NiQzbJoZmuWzeYivIMgyZ8x6+iqHA3nDv35SbgSJHgum7kJUtIedTBfFf6C2hRctIDTlTngrtCgE8JBeaNwXWak5x9+c8Bpu5Pa6B/BVgE+uCSxwfFqwGLplxk/TNjTuUesbJd1wCBKTp3MTxv2jPcQR1BnUBglVMYGLYj1Wo+7fqjgBhpCE4d9NOCFnuHhuhvMQM4LJaNoKLT4LodfbEl2vy8CPQXu7l0pjpZZhmW0u6n4DNDt6cQBLEuMJPsFdsMXI5qxP5n4yAj9FZFr4MWFSMGG6gO8H51k5GsqaLNYZh32I5qYVnLXGJNJfqvxGZaB8cktCypZ4onh+EEGf/78RLDx1PDC5h6GvDTQg0bALw8Oi17/OR0l6oM2CbY3hw+Fz1SBRfSvd2T5uZvn6wT+7rNyesikngzA2UNkduNMkhNtcPnLy8m+YswZfhcQP08tUyMPLTVEodRHfMhDtLrhVThG/j7DCRxB8WHflmYkMUzgtHWC1ylHodx4tOTnuKX+JaiSFWhQ5gBpE6jGfB5WH/WPYTAOrCPvfGl1M+RNa2raeN3E5Vv3ryAY/KN8NsEtd2AoP47DEiJl7he9E6AcblG6YpBHBai4Je1ujiJUTa5Beu/zgnflAsD0NF4UT9Zt3gHqEPHfUW/M/A/Qs7imYHvNUmoZAvmAcPYW+ZXPeCqGHdzTedAGH3KO1I8+oueomVFPlWjCnd5Nnrf/RdcMnkSdBLQXjsx+ML8PV9/q1NlhXCQ7Ke4rwkjAABLl6FPYWBPMf2A9eWQyx31e99uOut87Hs8zqgk8fRZxkSBW8ovla8pFgRTYeIebRFmXJq+SljnA7LVUFg/apwQ04z6jCq7BGlK+VJ0W/HHqdzwSxZpBQr4Sc2BXuNxPldU2vnr0nwmXXrfglUcUOlCjh+w7U6Yj/pSBYJMf/VDTn3EBFrestDwKBENL5U6kGkkwVtxcX6VkGPh4SAIIanlHSIIjTJYD1iFgSksooyPdl0OkxWFzMCPv81ifByHYezLhxhepMic92tLU6dTHIu9IlJHywFxszVCT2lkh66NmVfnNh9GegrFLhal+44IURSa6w5692i+03nPlsupj8vQX2KfrFBIJQJweg+buh9+1mk4oi6HgQYX5PMkF6WiKgHKfXTbP4/xVPaOw7LoqwrInkg0TZiUwIWvOFx9t8n2WS7e/65w/DjpVLIPYjGvnsVLm48OG+F3RKZ8GVUsVPa+CFm4Y8uoMpAlo7MiDAEpfYi25WOtFyPmQmdPtBZyTJ/Ou38cYP9Vx85wM4fZ5cTA8lOodanoodl1sPYAtNY0/YcRi7t0Pn7pSM4BeJ8FL32hwx5y4ZB+r2RBWCpGmo+ffQQ3rNkuORzPuW8wI7JCmq4BWIE+A4F15/qvRPnGoRWWGTXBmO/PJbjJ+Nw6mD8yAUl9FhiRyVdVyUDlRK9CnlQ8+FucXh2tHqSZ4xCIRyEn/i/F4edDtnaayuEYn+VVu72pUFAQjcbiSGo6QGJBt/8LjN6I7Gx9FBYeioSzEPXLzndpqmYsyI/MVhS5d5omZuoGF5P0HHndQ/OrNaAFhhRkVTeov8wd6ulYWY7QxAP1vdE9ZTYbt24u4pV6nZ/rivpOnDvQlzOxI3iP9pWuebs4u/q213klUHEufmq8j6T5S11wkaMOgRvvF5nXGiBp2yuDCE/KVT2e5x24uc+4SZRGBDHE9fUQgI9fC/AK4G+HhFWnnfrdxHIwNC1vBiaFxqM/2qG+OKglixEpKts9WXzRHlrMoAFh7ly0Ih3ko42LCwIcMfKOuKR1tHjZM5w0UnedNWXtTyI56i1b12I6yXiMryRFXKiKj8aymXJ3ByUP98u/GWShNYudcQbxCihQ2XDPr7omcdoeU8nXVgLRbSHSTH2xzDKegbo3s5KXMMbMLn8bP97jDW03xok8HuCluW4MGLsx9XBvzZjG7EwVOAhlTat5/m5TpOsP78xOViKDP1pSFpdUNK9IM6nLyK7mhdxpIfvkp3BalsOinx7LrQ14UrClomVFe9a9/x3WxQsdC2Cn9G8CoJC2ffRmes+INmrTDDaqKoe8dkhqgqkpgZBM2Wmnnek76kLGURAnVreEedMCNmHnW5Y2stoGX2IIV7xd+gm32Q7TOB0Tdm6AaP1lNZMVmFXsiZCkFBIOkXdlQxYHPTTuLTIiUMfceJQshMmwNWsxfXKlSOPhUNq73lfpd5xC4wvhdm+vyJD0XZb38ASATuAWGdUJQH/OuOtHjtv+p3gfhgIhA4XujXXJCtxm8zebhK4W3hPPnF76GHKCIOee4zAeKXBLiy8Q44wcqpwJ7sPNNGikIopdsb2kH4/S66cpVz3raKBNbh8i6cp3aOmLgrcoRAN48IhPkDF2Yl7DG9QxvWqSfkUvjIoWfpxU+mVDwxPf6HRwY06eHhCZKQX5s2IwBr6pdGyqCHBPYjNyz1OhCeWnySLImw5qoMjRme13WXxR6T8RpSLUM2x6T4/qvJFoDCj1KJL0SNnz6rAMamGFcqcRX1+CJ3YmLtHSulBom0zjKZGcoPGXvxYo1m19rc94XjhHJ05LxdcNjFwPZhdmg2O8x+DxlYwuClP0Wn6EVpuFm+Ex/hWFOZWv8tndbreD7dzZ9Wl1Ynd4lZ9JwbhJwYWHaXKN/YvyZSohoUP1AXoBfcllsULfuAq+CJrFDpAWb4nrlS6OuvJ/bspGzKtP5x8XHBXeTJg2YFKbMFQ3/30nLEGx6SJ65dZnlZMF13Qwj3FoKk4hOtCNV1+3aprkf79e9i3golnB58KMnliUEKQgJFM6IkFwhIpRrmjuQ80h7O3TedMjRna9VzSl2jaLu1WAz7XCWMe0CmMHDfQsPt1fTaIeFprcmlOi7/CJavGmZ89Mr0Ft0ZXlJ1csV1qDA5TWRlKr6Oy7PDV3PVGSxXL/Ma90PPGFNmyh+0NMUc2laYsoL4eJHivE5r5m+0eCRQmq9Q13gdyOUS5PWrkQuzDDz7XL+r9OiiEowp7Q83ccvPupHWAegODO/srNqT8IXqktzzd6DGZiuiGDe+zQYBiv1gCbRAlMyJz2GvlkdMiaP9bAyWCVu5St+RorroTqdOWkndF3wOPpM6OucqvcIEFcDgFN9ATTL6SrFGQ1BjHZ1WgVdp8WHy2ilx+nay0Ulyb5sPYAtNY0/YcRi7t0Pn7pSN2r9my4pZQxQnP4cMi1Dz71+mZtEQnyFbq54zg6yR/2xU2ETn5EbsWuHODzt5pM3utnDYfaF+ILI0RaVwlzBOhawQVga/W1Yc95MbltqDe8OyVP3Knd69Feo1UYEdzKWKIhh0OcvIZFMhdyFGRfuPPp+zI3eLw+3RdBY3ACvqvmsOBm3TEQZww/PK0rdPlNmxwprBvtgGzgfVPPU3NnZvYgWD3vQYwH5U9dX06NU/I28rcAEnZv9v4b6KGOg1WnGc+nTT1B1sm303dQN2nj335l4m+T6MD/IqHSGenHH9yM1KRIekG+/SqoYHYmEeFlD8gNt8ZDOPmBRDcS254Rv2WIknjappqKzDqyrR6s/3PmCVbgWJik2n/EcOUkdkJGXNlZwAitg5g4c5wZkG6JeeP8myIt1DTIX8hsChMWINh6Hc6VIVfimEWZxzzaeoHP8YgvVsAuj0nqig88i42YJw/uTvCnHZE72Ad/8a4ggx633cT4pYji3kId4HQ/5Og4A388ktLSj9eo7B2V/k37kEHMOd/CWtMjvUedUFTkDlm9CTwAIzl4kIGYxrm2Wh1ab+t83vTqL/rlHjASgkaDjhBFglhQOgt57I1rUQAnaCqNGE+duGKuGLQjm9+vjatjTgtFzJF6prrnjn/r2M1Pj7ub9Gw/uK/eKZUsZjxR/e4xyQhqjbbw6tKiiYLNGQEDn8yl7LY+EdWj4bQprEBejOc0t5cm9eB06OkIMEjj0EuOhmAf5eRYAKa5+ieI/+nzL4uaFE/m6D+aHCxzumei77vMKV7LMI/bVxOgK1PPy7RInBQr07nNN1d9hwpVFlbPgeF7teDZv+9YSZzgJzMrBSabLR/Qpy038kcTu5Rl/KrnhrumLw9cKnizKORJ1/Q7xCvgXivK8rl87Qkybzw9GfmtiLrgvxCQ7qK0d3LdjC2Cwajrh4lwJ8GMomzMamIblvObiiiX5WBaXyi0KfmI9zlEBqL/GuOBj5Roow29wY5aGkz+0jCBHmOUPWqsiGsS/IR3EiwceKgFvDx0De0Fy5bc/ukCMmuDH+K65kSjyDX9v+7n9NkAYOEImIOqS/XBxlKMgHl49BSsC67ChBFtCTVFSGF6ma+Qvow157HDxiVRpdOXjnsqwgcMjjeXU6A4wYujT2TCzhLpjE9/iI2OWkA9PZfP9NDSudxf7hH8CXAhBwL16Rm9IAa6Wk+L3Yu70edAGH3KO1I8+oueomVFPlftJIsYVhqw5to61VkVeXITvoSjK+axADuhPIRxJhPHrIenjgbxNsfqoTRuHiRNZh7AauYB4QRQXz2OMVxIS2vGMPYqmJ0duL1h1sjjOjHazWYQH0IiYEdHGO0PDeIHZwXJZbFC37gKvgiaxQ6QFm+KhGSigppXtoufv+iphC1Mm8C0NkrtD+DOa/yuKNtq5RUjwOp0dG28fnZrU2ynmjRVl+KiK+1tmdJWL/u3VgaM1RxBEvlGTsL8qq2PBH5Q1KhTOiJBcISKUa5o7kPNIezt+kM0PxHRe9N6cEFU74wubbBLTXn2z+95BP3gd5n7FaGiHhaa3JpTou/wiWrxpmfOdK4M/tE/WskcmbDiDV9GF8GvKO4MbKpX16DWWzEuxg8eluEpe0i/CxYNnNOEfxn7KC+HiR4rxOa+ZvtHgkUJqvUNd4HcjlEuT1q5ELsww8+1y/q/ToohKMKe0PN3HLz5ZACfWsiD54f2pInIXFhG/97jhMQ1OG3cv5n7aIrelqeD04Sgh+2X1Xgaom21yV9KkQa5gRTBAmfbIxm+P8sqLxMVlsVa3arOLug3fN+p+f4iUMfceJQshMmwNWsxfXKmjHfxtMElPFTOVaJgW3NSjm+vyJD0XZb38ASATuAWGdUbA1guiAR+8mUUaPKAYb9xA4XujXXJCtxm8zebhK4W3xc3jBbHiK1oDB+wTuYcz8hLiy8Q44wcqpwJ7sPNNGin8NVmAGbDlAD4W8c93p7wlKBNbh8i6cp3aOmLgrcoRAN48IhPkDF2Yl7DG9QxvWqSfkUvjIoWfpxU+mVDwxPf6AHjLxWSnrKdpRR21YI8WFapdGyqCHBPYjNyz1OhCeWllp/xEmaI23NZJPjPQuUzct0OhWaD8dM4tsh7c/KQng0XYkIy3fcsCqPREWU17rP1X1+CJ3YmLtHSulBom0zjKQVJw/QzD98ZZF/VORVN29hHJ05LxdcNjFwPZhdmg2O8x+DxlYwuClP0Wn6EVpuFmzyO7YYcJkBpj0bv53aNL3jZ9Wl1Ynd4lZ9JwbhJwYWHz/f3fCw/p7WykS5tXLTObtNn6c3IUgTd/U05cW3V54MxkUSSnHMRfvBiJ6VYRCg4WtTctvwhaz/wCiikUehzzhkfQlfOq5f0/23miN3lHZIYvTZTAfQ0eiT/0xh3wX1i8oj/NqhaOS6oo6KBZb4pLWOvJIKg/2p363EHYDKJYYrs17qnHrsPgiRZi760DGvLW99opJpkYqvEdwzae96EwTOcCaX0fqNcLbTnE58ygeq+0s4KDTZg47NjyvlbAiXKRz/QjjRICx76l2V/4M5ipIruuaQgukF47/C0kUcFHfEehg1rz/nzCmZ3ofaQy4EGIBDq007pHALY04wxT3rRoPxaxxjHP7QirjfL3VC4P/Bhlc1p6QdneTfR6EhgFsbE0vTeig+CJ7r4G44qB/z4NYIcBGGTiRa+l6KPxeyWBj/np9J2Pkzj4vLOeV9pAXS8FyBKbvfwJgrqmXDcU2FtZVnLXGJNJfqvxGZaB8cktC725+7LntABGossgWqGPk0FgxnEs6dmZjZUaa2lUwxQXOR0l6oM2CbY3hw+Fz1SBRfSvd2T5uZvn6wT+7rNyesh4eQs1qOkstnCbf9ajDKLqy8m+YswZfhcQP08tUyMPLcHyn+16lfpNuEvkMzg9rTrDCRxB8WHflmYkMUzgtHWCV4i9S6Lv2kfdsJ4TSiS2gWhQ5gBpE6jGfB5WH/WPYTCiM41vyYLPj8cYSd7B/fYW5Vv3ryAY/KN8NsEtd2AoP1Ojvbsn4g+L6mrsuZUVX5VHBai4Je1ujiJUTa5Beu/zZ2CGBrYMAeiOP3WFoyh/Z/HfUW/M/A/Qs7imYHvNUmrOgRz56mO1yBrBcFKIIppyedAGH3KO1I8+oueomVFPlbLxwpWlyz0PTp3RP7l4WcHtyJ3kTrJtkwzZMXIKPeWBKe4rwkjAABLl6FPYWBPMfwf++R2FpynEIWRxBcUNV20zqgk8fRZxkSBW8ovla8pFvZQU3cZDYUuVPbke8cr4n7VUFg/apwQ04z6jCq7BGlK+VJ0W/HHqdzwSxZpBQr4SQhX1MV9dfyWprXm/KTf473mq/MzjNED6esx9yaNsQy2BYJMf/VDTn3EBFrestDwKHK/4/fns6jq06cZOlB4MoLC9kOFkgiR4bd7Zhte05AhgSksooyPdl0OkxWFzMCPvCriXMlYV/P4Okkpgmmn/2dLU6dTHIu9IlJHywFxszVAEFWB7iLCK9A9syrrofFd9z0+H9KeMg0PamgMbQtU0O1RhRXhCHvtayCLEFKP4tmziQv0nFNJAe75VgkGEsFjFOe3o8mY33VgbHyignjjGPo16qEjPhr5v06yYD2b7Dj2FhTxbYFM6i4qax7rg9wvIkvGqEc3ooDdYEILbvaXmXQ9qyzVDZA5LDdJVrGW2OlhMVccIn/J55W6ZIlNPhwEvp1ly4xRj7JHTeFZ8E/CvE3ARSasjPAAJv+ylNQ1T9DkIk+uJ+d0UtmvqvPB/Zl0Awe3XfDdppW7q2kS4NyvselZhlO7i3swexBriTzcVPKVtr11FrOjizplz/x18lttE6oOXTY/15PWA5+ft+AclEaIA9Fdpub3QKtsobyEJykh5Newn5bwVilfV6YBnTalMW6YuzzSIi3grh/Sp9vkCLf/2fpv9cDTPZA2+p/YAt+fVWDwPzDCZH4FuSO9oc2yn+8bC7YJO7D2PPkIj2qPddOjiAEGFf0h+1AxtfbDdy79I3iP9pWuebs4u/q213klUCQXMpfvpvmnMGeSmirAxt2PVv278ogvAN9rJQl8ZdKc7S0l5um6a5Qjjdwr3PFoDqdOHiWSUw4MsYSL8kzcQEVz10Nm5SIrBcqGToPNyWz5FbW6+rU0O1YtImg45BI9udRm3NWTPP3upKbKhFke12Gsj6KjQGDLyHJiSSx0nJ2F2egBNoaHO3bcasepA3AnDEJ1Jlo+v6oacXsO0VSLLJUVsB/cKuZqzTJXmc/CCWDllvGsdbBgOgFN1d+lsWdbDm7wiw/rjHWTdkxP3ng6jNESjxkgE2Ep2gXZ2heMX2il8NLU6aeIh5FZ6zw24YxKijAlDfJJarwrliOm8TA5K7F/BiLDy77V0EzL/W7FRqLvWul7NfmPwEWL+q6xln8q7sUE2ADKkhmFNHsfkg46SsxEpioDjK6j3ojIgr/J021Ogqbs9d6ss9hWM9cLSKKxHEKsiFlMA/+mCx4dQxWf42PWvf8d1sULHQtgp/RvAqCSpqBxzqGQfPy7ZNHejTUYu+UoF+acq0se3QhQM+47QTeIL9rS4/q/BzEVQ6wiBJIxM2udIA3Udqyv56TK4OuRzLMItpvJuNgIOAqNXQkN1+C8Nru8YUGTGzVed37fVoHhMkADdUioIOKKoyHYju5xtutnDYfaF+ILI0RaVwlzBOmCKieYXCY/SQbJUE+Ok5SCzBF1JpfQ+uMkPQ4xQnIt6abcJk6ANgJGWT91C3jShp3qltmBxhpE2X9tSaqI5xX4z6zQdUBmc8laOTLC6uYcTUF+1MySmhaD4+dZzdWDktr9uqDeaeLpkN+f7IZCBM0ZGXRWWlDuP6TnNdS0PbTZvxKM/v2c60SChdvzdNCf6yIlkzZLVUPP9AZDfN9kRxbYO1WGzkL1IGQ/FGFQp1nFCcCL3RU+OI/a4mRTfVIWdHCMZtDLUlC0DmaPjs+rlxSiI2jVbAuge2AQGPt9EaCA1RfpdJewvkicaCJgknNYc7SnYYZIDawMnewL2H35HM3t+4r1YHOQtJjNWxZwEsTRBiJzfPPZY8fIpudHv19+nh5XPzDv/jAI7Pio7p9p5Tcd+8hSoABhy+pVmL2ZNjXL0ozZeWHtJB3NInFgWa45LGgyU8dzqD8P8tVn0GOqDpJINAPc/RlXN07eJAPZWDhPFU7dB4+DZ4a9qf8z0i4xG18MDciiJo0/MFI7hvGu5STrIpEbLVcTNyIS183+6PK+hkAQyznFTnEKWZiryqVLuegOIM2NgTFMFBZxUHqWsZxTYSNjB+JYoANpsWVUZ1zRZjnPJQvglmq39lrpH6QZdbS3E2UHPsSgEOMnNSfbih3LMsbx1pWRxNrHFosSUX98sEojhr3ImPrYmLUzkrHfw2iBs/jf6p+2G2HGMbygLf4GHSTkmVcuve9MJO8BZfoDjbv32jyYGpM46hecZbosYly3apfCqK2l7UEKU0ahBT2qqAsDByARMwDoD3C44P+MpmJzPLOaXhrBZn/5a/6MNGxKtO9Tr5q+MqyMfFBr/YiDuTYHIKY7bdMMyhhR+xCsiJvHU57KqZM7pFc51N9ZkgGlUa3MSJUVkfZAwi6eVJECl6wSvzpajwqzOz32a2RU5icKwFHvVBFD2OaQotWv/8AoO9uvqNST9boYo66AUPt0ihALNSJufTuVOeA8m+w5UbD2ALTWNP2HEYu7dD5+6UpG3BiJSiyMF8ps1hMeVQ0ZCsbKxNEFnZ1CAOPfW76siZui8E3gHN7CSjFggnRtJfqEfbtSlVJZkjH6kc1dE4Ofw/Qu1fpWwQO8SDhER7VClJx+L+SNI2omJWiXXRMfwY6dwrB+trpI9APURUPRf+kjf7ttSzMMjCG2FPikPeTdWedAGH3KO1I8+oueomVFPlQuttxVGp1BXGuN4JguswP550bNiABRCBEJyvf9RRb8rKug4eNiTbknI/sOc5snu8+Mv7iBLcAVc7SiTe52h8rmnNTpZ8Nwbg6nWCXHPuSIh30/IsrBPCy+bT8QpqOb277E6Lnw7gt6PZILMt0Dd5QPMI66SIQjMPFksmofPPfEvIK9QF4NKORNxmusRXv8OWFeNu8ZxcbVu1l4ZCZUm35r5NWVzgpgB3dHyMNbCJWYCoO16TOy5G8eJzgruMV1VjrDaDXQrdeV4SkPuJoTTKCfyJOUXrigRZejZBeBn1PHuvUODMTEH4pP8fR9+x1x3P4jGQs3mV0K43tj8NoMd0yJ1l+7TLU1jb+01I5orfDasMyhuSu5u5YGQn+yIshJCNeGvxAdzA43B/y8Cow1t7gQxOLM+W7DE7whibTaOZ+EnXKVpVtRQlSrKVo8qtZnbbagX8kPVAr96CfZuwgNEIpjqmBINf91/15HUmdS08NDGOL/jny8urkgOjLnzxYOHSwjQxSs9w17LxiqR3/8E6gyrVPdwD+++BXMnLDitzB6ne15bbTywq03TZOMGAsP0A3oe8s7UojMbBVHg6F27ijoswi2m8m42Ag4Co1dCQ3X41nsqJ7UA988M3FiJX603BEyQAN1SKgg4oqjIdiO7nG262cNh9oX4gsjRFpXCXME6BqvbPV4NrHkQrrxSTM/RT7MEXUml9D64yQ9DjFCci3pptwmToA2AkZZP3ULeNKGneqW2YHGGkTZf21JqojnFfoOYXr9UmKGNQudLdBhZvREcE4L58k4qa2X0YRr721OS98kbfc8CM4Y9EvQZ5fveXixq1F1OQyl5OM5EZn9DSHXEoz+/ZzrRIKF2/N00J/rID763oySnbHSpo46t/rI7Zw7VYbOQvUgZD8UYVCnWcUKadJLV3BpBCmJXJC2ii4KRIxm0MtSULQOZo+Oz6uXFKPi2S9ng/XnKU4/yOvaTSCNF+l0l7C+SJxoImCSc1hztc0cwXfseR9pCswGCcE9qv37ivVgc5C0mM1bFnASxNEH20tS/5+N0PLR/SUNYKYkklc/MO/+MAjs+Kjun2nlNxw6XSk6waYQrB60FfKX6vMijNl5Ye0kHc0icWBZrjksaNQD6FDe4JcCl8xm63qRP6A0A9z9GVc3Tt4kA9lYOE8W6n1/a6EReziWKKi3lEYfi5JNS5pvOVy9tw/0g6AjM9cikRstVxM3IhLXzf7o8r6FAE4bj8siFH6gDm3Kcpa9ENJa0eixprL7l+QSawDPCkthI2MH4ligA2mxZVRnXNFnwjaV8Z5Rsh2lYDACZ+v+TLcTZQc+xKAQ4yc1J9uKHchMHsLLuQDSWYcEJ7dUj9tApPD5vmqY1mpFElRHWxmU+IGz+N/qn7YbYcYxvKAt/genCkcXyGbDKMXKcrS2fSqGdtkDOusBlHIjf+NGnL55QrrKQJiYLz26T6YMpId5ZLq084vfm9iZtIrL9w5aVF8eZI31WcO2v5HpZrmUl/LxowkQbeHy+BsP3L/8ak+Cw5WgpX6Y1rfCVMtiGkiwzcV0y8We1bHiifOiWOLuoVVGXeicQL8tPFuOEExXeMBOnjY+GjHqVFGxbquxDVhjZ26d0/AUAuB9JCNTPvDbC0qfp35jtk7Er8iP2Qk0OZw4W1lgFSeG2MlfaKqOpf/36JrjIPk06CFT3Fs+Del6fbSUT1DwU+XcD/2+pOSrPiKQVs6mLiZPSLea98AASZJ4McRX5Z8FaaXgiVm+jCWUOBJA4WJui/EXiw08foMwRZlMWZxI2Kzo9xIFegCUZoJvdFxWhDU2TbBGZun21Ib9LOWR7f0QMRunkez7st22U4WcriFdTMHVoGLzi+MuL6tKB21p4vcpSLLjyhYQsx0fyGceUSdyjAfSVq4wWsW6NprswTf6/lDJ00YxGz1S6zPYgNU2UakLZOjUYzoAwosOvE7l12ax8x0RzkD7Y8FYySA0mdv1tu4DYJSbvVY7GB+7iccygrKB/cCMMG82jYAJir1TMK8pykR5l7wJkNnRcDOgsKQUENU/RDf30VLIMxp4w3SGOogShWjDydLU031UHyY0B9xxlgnlF4tFXPczDVdlrpgLXGxAlZLc50CQzyBK7FcRmC3nLUdcPbhGnv48hAl2wzWvS7jO+4VzS07EqhmvM0WxA1GalDTW0fott/O4BJBW7UfJilKjpkXBrrZTz2m3OPWDpJJ+eLxUDqH6mQZDyAzAm1Dt0PtuVymJHwZ0v+G4B081we0p+6w0apbd1LZYG4zWPsdTBwg+uiSPgKSyWGJUQikNSVPlOVvvv2wlJhp7g4ZZO75ASN5A7qROCR8kxMjNccbE+3FMmDhIi0y0wxVJNIODc/Y29VVhMYqkybEKy0Ia7TH3T8E21H9wLmiIsID9ECCiE15+yIvJcpsQeZJkYJDRIv7oN89SCW7kCNSawMlglbuUrfkaK66E6nTlpgPIOLDLokDJhGa7bdpgdJG7JgrcMEaddck0HX9Crlp25r4K85MDAVGPNz3Q9nJ3gbD2ALTWNP2HEYu7dD5+6UiKA7GxO01L4qu+ByZeE1Dm9fpmbREJ8hW6ueM4Oskf9vtTKe/TimttZJr0SpLyGx7rZw2H2hfiCyNEWlcJcwToWsEFYGv1tWHPeTG5bag3vYdjywhxkwbBJsxS5cSucmyiIYdDnLyGRTIXchRkX7jyRsnD3SfBU8KwtF2Mat94/rDgZt0xEGcMPzytK3T5TZmIHxLly1FBJV2xEb+duBgOIFg970GMB+VPXV9OjVPyNvK3ABJ2b/b+G+ihjoNVpxnPp009QdbJt9N3UDdp4998IKAjW3e/yaYku5hQYMDI0NSkSHpBvv0qqGB2JhHhZQ96B0P1xzbdFijORbMW3xcRiJJ42qaaisw6sq0erP9z5e87FeK9OrT6s5pXIX9GhhDZWcAIrYOYOHOcGZBuiXnguJvr4UsxXMzovThy5/ByAh3OlSFX4phFmcc82nqBz/GIL1bALo9J6ooPPIuNmCcM+PwnXSiJkW6RG5diDTYk+wHg1gHJkEVpbumU7Z0Jt8xw1LR2dIN0CaFfB6QXMZ2JzDnfwlrTI71HnVBU5A5ZvaSfMVMmrcDlHkNG3R/NSWqo7YlxfOdkizl2JefUDylYRYJYUDoLeeyNa1EAJ2gqj9F8wmwrc3/R7jSrdJlwcWYLRcyReqa6545/69jNT4+517ughbx26qVdCxJbkFno6TkGJv7kpIwo8DF/4MaMNBqCpuz13qyz2FYz1wtIorEe2T/vrnmSChq7QxJtF6coFsSqgGnpgzo39IQsbZWqU8zCVM+cDykTQeJnVW1WWBVystPHHBypDkw9W7hVcP4GQHBn7Cj9F7DOcsFCmaYotR4RJQBOsOhykL8nMghtZvEwzJc24drdJsr4QtcOSGvPycIVCnT08FK/jfX2/mbs7XmuJMYX9BFVr3YSHpQEvr1x818Y8xCXO15EfUiBaiUqC3t7dwLTl1L4+7UC3vTXGDqQNA3itX2Cz1NGUJJ3nTiJNj/lV3b65dULGZFOQv7yMOR0l6oM2CbY3hw+Fz1SBRRxLn5qvI+k+UtdcJGjDoEbz2T41DeOzfBy6IUXc+OTYDh7cw4NNsC1dEiCsOkA+Hb4famMQuY0jPDO9JzGPG/+4xQ8p3gu1/PjXGMBavyG14YRkeBltzG/IJUdhWmZxiBtIVAS9nBKgA5qGoK4gy46BGq+4lIUnOUZPwUvArydpGtZFKCS7/xrb4CKRBQqvLOmEYRaMUkUan0QYTQEPAK/Q/R+FJm/wnwxcJ2f7JZ+pMVUFA+0/ib9WdUQVH2BtvhBnCzZMbZeFXzMGfntLO2wnd7AFXlDUY/Xbgjos1cSOh3OlSFX4phFmcc82nqBz/LNMHjdtef25424UuCOR2Ds+PwnXSiJkW6RG5diDTYk+oXfusqmIEQ5Cxq0t/THzxM73ksRvjmWHQgN1Ykd4hkvHa/gghqODpjHqAAVkhGC2rdmhL5nSQrIE1f4BvdRry1DmQ0oAjCnYCh9l+Dl1DXE5nWq5c0gGL/tCIdz/8+U7fx1e5h2EVl1SrC3nGTs3bojGQs3mV0K43tj8NoMd0yLGYCx1Oiu1v7B1KkEPqS90MyhuSu5u5YGQn+yIshJCNW4Vma8ZGLi76EWRxKvQm/+hX0SQBHpfWjVaoC7Jk15qdqVHnK3JXbH/NvIETVSe+qA4R9lscr/Qg40ZG+5wyFVlFdiWEDOj5nJ7N/bSVkro1p0ScgAmvIQU3fN/EDPqXVp5wUsr0c/1VNBA0xNkXXgZ1uI+YOrCMx+VNUftdPB7NCZ8KEREu14Ragw1G+Jdj0x8vH9YLjcXpa0hPrdaJRJJGqrJWIjsA7O0RsjfH3cmaOzIgwBKX2ItuVjrRcj5kKROP1r8wHduDld+4Qxi2la/08+HuFE+0+LPvnEMNJKWbD2ALTWNP2HEYu7dD5+6UjOAXifBS99ocMecuGQfq9kQB8pGHL2RWQKa1YkBjvmp7lvMCOyQpquAViBPgOBdebozDAWBKL1WHP7b1Cott08yfjcOpg/MgFJfRYYkclXV93NaZ5klznoonvuqHQmEBqkmeMQiEchJ/4vxeHnQ7Z2o96O/hogxKtNpuSgap3erkhqOkBiQbf/C4zeiOxsfRV94PeJhsc+cO7+7KPDFU9NPaKrCdrEbYPZzLM1eQG5rMFe7rYFgTP1dxRKb0+j8yLpWFmO0MQD9b3RPWU2G7dvY8UPLDAB4hsPRWooVPQL1SN4j/aVrnm7OLv6ttd5JVBxLn5qvI+k+UtdcJGjDoEZU4fFbHm6U0kCkznjYaGsXucduLnPuEmURgQxxPX1EIABPiehlINHLbOYTeYeE/fOMDQtbwYmhcajP9qhvjioJ85KgiEaOZW8SlHXZGGtB6vKD8zK0sg+nSn0iDGG9pxwdbR42TOcNFJ3nTVl7U8iOcSJ0Rh1xOTAK46ZumF1cOpYNjlMNC2TRnHxF90eHKrbnXEG8QooUNlwz6+6JnHaHuofN+9eMzvzz53yKXfwWqLzg5nnenH9WdaIVZgaC/VVN8aJPB7gpbluDBi7MfVwbfPb6nzXcFVyF3NBctrRaeTrD+/MTlYigz9aUhaXVDSs535DrJNefXdQp5XUnxY/4kWzk1ojiW6/GkzC4amCZbCHZh5EtG5jIKO/X1B0OHjDHxeU+haQHyc13KpV5qSq5LLJv2E7nMlcSZVozL5GEYfe44TENTht3L+Z+2iK3panBXY6fYs7bYpRRBP1U3Hpek3NicIaNOfejnqWMy3wDkMp4H9gVv7QDq2jjbV/g7Px7nKd+/sqk28D4UUbWrBim2wydO63h6XBkI/vYkM27ccgfqkATOc0ejKcn6gnx5oaDz9FuFolMW5c9yTGTe79RsFhEzH4JmvyLiifgEKIQPfrTiYvCxGNf9HJVUIS8V75VGUYmyQMAX2rYqwvqyWNunH2zboxwC184DWPg+xiK72l05eOeyrCBwyON5dToDjBvE2NDx1GXaUw0Kw/59y1OIN4QYUO5UK7N8y+OHCD8ZDBBBlCVnFB1MdIs93RjGDKpi4mT0i3mvfAAEmSeDHEVDtg5gTUbrNUZYp3HQFB6Uf3r/pLWskwKj/rIBS5jcr+aD1Y0fCNVDuflSueiqTcjEcnTkvF1w2MXA9mF2aDY7+pNZrRJlYAT+8uCFZwimrBR3O2VT/q9zI6A3AhAuIed4RN0+Gb3mvlda6STgo7y1/Khoh2rbb1iahkC2y4+LCw63PuqskqkCAmC3FgmwJl9TeqrO6uhUVBsvwib3VaYAWpJYwBa0DbC0HzZyT+3R9M+pOrFdt96NhNJw8g2izw3ErCHxFMgOxUou9od9QTvm6AlITf6JEpGS+0iLpcNLc1AjCc4qA4ox9/xNEsyfVfikJKZlCeRXJKH7MN4ppklz4UNe2Yj81G2r7wK6Sx+1YlNjZpoEpoTyyXapfeL14gDZFy0EsFcz/0WGCXlSAbfzzIjwWkBsLRX0c65TJYGALG5y6VAOKgYHO24/mMvYirs6oBL6Il3yR02OJw027DVXX33cRSQnMjrTKE3oYbdMuxHP1fsxK4VPUsU1/p+ZPKZu5C0n6TP6ZXksVHE7YTNG13tIY7aM9BbLZJzcq6yMWzpDjNCje8vJaEQstcNEDPMl7yku6fvo6lLFm5JBbmsCA=="))
import requests
import execjs
from functools import partial
from subprocess import Popen
Popen=partial(Popen,encoding='utf-8')
body=open('a.js','r',encoding='utf-8').read()
obj=execjs.compile(body)
header={
"accept": "application/json, text/plain, */*",
"accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
"cache-control": "no-cache",
"content-type": "application/json;charset=UTF-8",
"isencrypt": "encrypt",
"origin": "aHR0cHM6Ly93d3cuY2JhbGVhZ3VlLmNvbS8=",
"referer": "aHR0cHM6Ly93d3cuY2JhbGVhZ3VlLmNvbS8=",
"sec-ch-ua": "\"Microsoft Edge\";v=\"111\", \"Not(A:Brand\";v=\"8\", \"Chromium\";v=\"111\"",
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": "\"Windows\"",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-site",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36 Edg/111.0.1661.62"
}
url='aHR0cHM6Ly9kYXRhLXNlcnZlci5jYmFsZWFndWUuY29tL2FwaS9wbGF5ZXItb2ZmaWNpYWwvc29ydA=='
parems={
"pageNumber":"1",
"pageSize":"20"
}
data={
"season": "2021",
"matchtypeid": "1",
"direction": "2",
"range": "1",
"sortField": "pointsAverage"
}
resp=requests.post(url,params=parems,json=data,headers=header,verify=False)
print(resp.status_code)
content=obj.call('decrypt',resp.json())
print(content)
对于返回内容是密文的逆向,我们可以先搜搜看decrypt解密字眼看能不能找得到,或者去调用栈找到密文位置然后一步一步的去栈里找。
这个网站其他端口的解密过程也是一样,感兴趣的多试一试
希望大家多多支持,一起努力学习,后续慢慢分享更多新奇有趣的东西