当前位置：首页 > news >正文

爬虫逆向实战（二十）--某99网站登录

news 文章来源：https://blog.csdn.net/qq_44906798/article/details/132469329 2024/9/22 4:10:27

一、数据接口分析

主页地址：某99网站

1、抓包

通过抓包可以发现登录接口是AC_userlogin
在这里插入图片描述

2、判断是否有加密参数

请求参数是否加密？
通过查看“载荷”可以发现txtPassword和aws是加密参数
请求头是否加密？
无
响应是否加密？
无
cookie是否加密？
无

二、加密位置定位

1、看启动器

查看启动器发现有一个NDUser_Login.js文件的匿名方法，点进去查看
在这里插入图片描述
点进去后发现，此处拼接了一个登录的地址，并且上方会赋值password和aws，大概率是在此处进行的加密。下断点，再次登录。
发现可以断住，所以此处就是加密位置

三、扣js代码

通过定位到的加密位置，扣出加密代码，缺啥补啥即可。
aws是可以写死的，每次生成的都是一样的。

坑

通过断点进入password的加密方法，发现是加盐的md5，通过控制台测试字符串’1’，可以看出时标准的md5
在这里插入图片描述
但是当我使用标准的md5加密加盐后的字符串时，却发现与网站加密出的密文不同

所以此处要将网站使用的MD5算法扣出，不能使用标准的md5

四、验证码

1、分析接口

通过不断点击图片验证码可以看出，网站每次获取验证码都会发送三个请求在这里插入图片描述
通过观察这三个请求可以发现，第二个请求会携带第一个请求返回响应中的ticket，第二个请求返回的响应中有第三个请求的地址。

五、登录流程

首先我们需要先请求图片验证码的第一个接口，获取到ticket，再携带ticket请求第二个接口获取到图片验证码的地址，请求该地址获取到图片，破解图片验证码（我使用的是打码平台）。生成加密参数，携带加密参数以及图片验证码请求登录接口。注意：以上请求均需要携带参数callback，写死即可。
JavaScript源码:

var CryptoJS = require('crypto-js')
var hex_chr = "0123456789abcdef";
function rhex(num) {str = "";for (j = 0; j <= 3; j++)str += hex_chr.charAt((num >> (j * 8 + 4)) & 0x0F) + hex_chr.charAt((num >> (j * 8)) & 0x0F);return str;
}
function str2blks_MD5(str) {nblk = ((str.length + 8) >> 6) + 1;blks = new Array(nblk * 16);for (i = 0; i < nblk * 16; i++)blks[i] = 0;for (i = 0; i < str.length; i++)blks[i >> 2] |= str.charCodeAt(i) << ((i % 4) * 8);blks[i >> 2] |= 0x80 << ((i % 4) * 8);blks[nblk * 16 - 2] = str.length * 8;return blks;
}
function add(x, y) {var lsw = (x & 0xFFFF) + (y & 0xFFFF);var msw = (x >> 16) + (y >> 16) + (lsw >> 16);return (msw << 16) | (lsw & 0xFFFF);
}
function rol(num, cnt) {return (num << cnt) | (num >>> (32 - cnt));
}
function cmn(q, a, b, x, s, t) {return add(rol(add(add(a, q), add(x, t)), s), b);
}
function ff(a, b, c, d, x, s, t) {return cmn((b & c) | ((~b) & d), a, b, x, s, t);
}
function gg(a, b, c, d, x, s, t) {return cmn((b & d) | (c & (~d)), a, b, x, s, t);
}
function hh(a, b, c, d, x, s, t) {return cmn(b ^ c ^ d, a, b, x, s, t);
}
function ii(a, b, c, d, x, s, t) {return cmn(c ^ (b | (~d)), a, b, x, s, t);
}function MD5(str) {x = str2blks_MD5(str);var a = 1732584193;var b = -271733879;var c = -1732584194;var d = 271733878;for (i = 0; i < x.length; i += 16) {var olda = a;var oldb = b;var oldc = c;var oldd = d;a = ff(a, b, c, d, x[i + 0], 7, -680876936);d = ff(d, a, b, c, x[i + 1], 12, -389564586);c = ff(c, d, a, b, x[i + 2], 17, 606105819);b = ff(b, c, d, a, x[i + 3], 22, -1044525330);a = ff(a, b, c, d, x[i + 4], 7, -176418897);d = ff(d, a, b, c, x[i + 5], 12, 1200080426);c = ff(c, d, a, b, x[i + 6], 17, -1473231341);b = ff(b, c, d, a, x[i + 7], 22, -45705983);a = ff(a, b, c, d, x[i + 8], 7, 1770035416);d = ff(d, a, b, c, x[i + 9], 12, -1958414417);c = ff(c, d, a, b, x[i + 10], 17, -42063);b = ff(b, c, d, a, x[i + 11], 22, -1990404162);a = ff(a, b, c, d, x[i + 12], 7, 1804603682);d = ff(d, a, b, c, x[i + 13], 12, -40341101);c = ff(c, d, a, b, x[i + 14], 17, -1502002290);b = ff(b, c, d, a, x[i + 15], 22, 1236535329);a = gg(a, b, c, d, x[i + 1], 5, -165796510);d = gg(d, a, b, c, x[i + 6], 9, -1069501632);c = gg(c, d, a, b, x[i + 11], 14, 643717713);b = gg(b, c, d, a, x[i + 0], 20, -373897302);a = gg(a, b, c, d, x[i + 5], 5, -701558691);d = gg(d, a, b, c, x[i + 10], 9, 38016083);c = gg(c, d, a, b, x[i + 15], 14, -660478335);b = gg(b, c, d, a, x[i + 4], 20, -405537848);a = gg(a, b, c, d, x[i + 9], 5, 568446438);d = gg(d, a, b, c, x[i + 14], 9, -1019803690);c = gg(c, d, a, b, x[i + 3], 14, -187363961);b = gg(b, c, d, a, x[i + 8], 20, 1163531501);a = gg(a, b, c, d, x[i + 13], 5, -1444681467);d = gg(d, a, b, c, x[i + 2], 9, -51403784);c = gg(c, d, a, b, x[i + 7], 14, 1735328473);b = gg(b, c, d, a, x[i + 12], 20, -1926607734);a = hh(a, b, c, d, x[i + 5], 4, -378558);d = hh(d, a, b, c, x[i + 8], 11, -2022574463);c = hh(c, d, a, b, x[i + 11], 16, 1839030562);b = hh(b, c, d, a, x[i + 14], 23, -35309556);a = hh(a, b, c, d, x[i + 1], 4, -1530992060);d = hh(d, a, b, c, x[i + 4], 11, 1272893353);c = hh(c, d, a, b, x[i + 7], 16, -155497632);b = hh(b, c, d, a, x[i + 10], 23, -1094730640);a = hh(a, b, c, d, x[i + 13], 4, 681279174);d = hh(d, a, b, c, x[i + 0], 11, -358537222);c = hh(c, d, a, b, x[i + 3], 16, -722521979);b = hh(b, c, d, a, x[i + 6], 23, 76029189);a = hh(a, b, c, d, x[i + 9], 4, -640364487);d = hh(d, a, b, c, x[i + 12], 11, -421815835);c = hh(c, d, a, b, x[i + 15], 16, 530742520);b = hh(b, c, d, a, x[i + 2], 23, -995338651);a = ii(a, b, c, d, x[i + 0], 6, -198630844);d = ii(d, a, b, c, x[i + 7], 10, 1126891415);c = ii(c, d, a, b, x[i + 14], 15, -1416354905);b = ii(b, c, d, a, x[i + 5], 21, -57434055);a = ii(a, b, c, d, x[i + 12], 6, 1700485571);d = ii(d, a, b, c, x[i + 3], 10, -1894986606);c = ii(c, d, a, b, x[i + 10], 15, -1051523);b = ii(b, c, d, a, x[i + 1], 21, -2054922799);a = ii(a, b, c, d, x[i + 8], 6, 1873313359);d = ii(d, a, b, c, x[i + 15], 10, -30611744);c = ii(c, d, a, b, x[i + 6], 15, -1560198380);b = ii(b, c, d, a, x[i + 13], 21, 1309151649);a = ii(a, b, c, d, x[i + 4], 6, -145523070);d = ii(d, a, b, c, x[i + 11], 10, -1120210379);c = ii(c, d, a, b, x[i + 2], 15, 718787259);b = ii(b, c, d, a, x[i + 9], 21, -343485551);a = add(a, olda);b = add(b, oldb);c = add(c, oldc);d = add(d, oldd);}return rhex(a) + rhex(b) + rhex(c) + rhex(d);
}function getMD5Value(data) {var a = data;var b = "\xa3\xac\xa1\xa3";var c = "fdjf,jkgfkl";var s = a + b + c;return MD5(s);
}var x64Add = function(m, n) {m = [m[0] >>> 16, m[0] & 65535, m[1] >>> 16, m[1] & 65535];n = [n[0] >>> 16, n[0] & 65535, n[1] >>> 16, n[1] & 65535];var o = [0, 0, 0, 0];o[3] += m[3] + n[3];o[2] += o[3] >>> 16;o[3] &= 65535;o[2] += m[2] + n[2];o[1] += o[2] >>> 16;o[2] &= 65535;o[1] += m[1] + n[1];o[0] += o[1] >>> 16;o[1] &= 65535;o[0] += m[0] + n[0];o[0] &= 65535;return [(o[0] << 16) | o[1], (o[2] << 16) | o[3]]};var x64Multiply = function(m, n) {m = [m[0] >>> 16, m[0] & 65535, m[1] >>> 16, m[1] & 65535];n = [n[0] >>> 16, n[0] & 65535, n[1] >>> 16, n[1] & 65535];var o = [0, 0, 0, 0];o[3] += m[3] * n[3];o[2] += o[3] >>> 16;o[3] &= 65535;o[2] += m[2] * n[3];o[1] += o[2] >>> 16;o[2] &= 65535;o[2] += m[3] * n[2];o[1] += o[2] >>> 16;o[2] &= 65535;o[1] += m[1] * n[3];o[0] += o[1] >>> 16;o[1] &= 65535;o[1] += m[2] * n[2];o[0] += o[1] >>> 16;o[1] &= 65535;o[1] += m[3] * n[1];o[0] += o[1] >>> 16;o[1] &= 65535;o[0] += (m[0] * n[3]) + (m[1] * n[2]) + (m[2] * n[1]) + (m[3] * n[0]);o[0] &= 65535;return [(o[0] << 16) | o[1], (o[2] << 16) | o[3]]};var x64Rotl = function(m, n) {n %= 64;if (n === 32) {return [m[1], m[0]]} else {if (n < 32) {return [(m[0] << n) | (m[1] >>> (32 - n)), (m[1] << n) | (m[0] >>> (32 - n))]} else {n -= 32;return [(m[1] << n) | (m[0] >>> (32 - n)), (m[0] << n) | (m[1] >>> (32 - n))]}}};var x64LeftShift = function(m, n) {n %= 64;if (n === 0) {return m} else {if (n < 32) {return [(m[0] << n) | (m[1] >>> (32 - n)), m[1] << n]} else {return [m[1] << (n - 32), 0]}}};var x64Xor = function(m, n) {return [m[0] ^ n[0], m[1] ^ n[1]]};var x64Fmix = function(h) {h = x64Xor(h, [0, h[0] >>> 1]);h = x64Multiply(h, [4283543511, 3981806797]);h = x64Xor(h, [0, h[0] >>> 1]);h = x64Multiply(h, [3301882366, 444984403]);h = x64Xor(h, [0, h[0] >>> 1]);return h};var Fingerprint2_x64hash128 = function(key, seed) {key = key || "";seed = seed || 0;var remainder = key.length % 16;var bytes = key.length - remainder;var h1 = [0, seed];var h2 = [0, seed];var k1 = [0, 0];var k2 = [0, 0];var c1 = [2277735313, 289559509];var c2 = [1291169091, 658871167];for (var i = 0; i < bytes; i = i + 16) {k1 = [((key.charCodeAt(i + 4) & 255)) | ((key.charCodeAt(i + 5) & 255) << 8) | ((key.charCodeAt(i + 6) & 255) << 16) | ((key.charCodeAt(i + 7) & 255) << 24), ((key.charCodeAt(i) & 255)) | ((key.charCodeAt(i + 1) & 255) << 8) | ((key.charCodeAt(i + 2) & 255) << 16) | ((key.charCodeAt(i + 3) & 255) << 24)];k2 = [((key.charCodeAt(i + 12) & 255)) | ((key.charCodeAt(i + 13) & 255) << 8) | ((key.charCodeAt(i + 14) & 255) << 16) | ((key.charCodeAt(i + 15) & 255) << 24), ((key.charCodeAt(i + 8) & 255)) | ((key.charCodeAt(i + 9) & 255) << 8) | ((key.charCodeAt(i + 10) & 255) << 16) | ((key.charCodeAt(i + 11) & 255) << 24)];k1 = x64Multiply(k1, c1);k1 = x64Rotl(k1, 31);k1 = x64Multiply(k1, c2);h1 = x64Xor(h1, k1);h1 = x64Rotl(h1, 27);h1 = x64Add(h1, h2);h1 = x64Add(x64Multiply(h1, [0, 5]), [0, 1390208809]);k2 = x64Multiply(k2, c2);k2 = x64Rotl(k2, 33);k2 = x64Multiply(k2, c1);h2 = x64Xor(h2, k2);h2 = x64Rotl(h2, 31);h2 = x64Add(h2, h1);h2 = x64Add(x64Multiply(h2, [0, 5]), [0, 944331445])}k1 = [0, 0];k2 = [0, 0];switch (remainder) {case 15:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 14)], 48));case 14:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 13)], 40));case 13:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 12)], 32));case 12:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 11)], 24));case 11:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 10)], 16));case 10:k2 = x64Xor(k2, x64LeftShift([0, key.charCodeAt(i + 9)], 8));case 9:k2 = x64Xor(k2, [0, key.charCodeAt(i + 8)]);k2 = x64Multiply(k2, c2);k2 = x64Rotl(k2, 33);k2 = x64Multiply(k2, c1);h2 = x64Xor(h2, k2);case 8:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 7)], 56));case 7:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 6)], 48));case 6:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 5)], 40));case 5:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 4)], 32));case 4:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 3)], 24));case 3:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 2)], 16));case 2:k1 = x64Xor(k1, x64LeftShift([0, key.charCodeAt(i + 1)], 8));case 1:k1 = x64Xor(k1, [0, key.charCodeAt(i)]);k1 = x64Multiply(k1, c1);k1 = x64Rotl(k1, 31);k1 = x64Multiply(k1, c2);h1 = x64Xor(h1, k1)}h1 = x64Xor(h1, [0, key.length]);h2 = x64Xor(h2, [0, key.length]);h1 = x64Add(h1, h2);h2 = x64Add(h2, h1);h1 = x64Fmix(h1);h2 = x64Fmix(h2);h1 = x64Add(h1, h2);h2 = x64Add(h2, h1);return ("00000000" + (h1[0] >>> 0).toString(16)).slice(-8) + ("00000000" + (h1[1] >>> 0).toString(16)).slice(-8) + ("00000000" + (h2[0] >>> 0).toString(16)).slice(-8) + ("00000000" + (h2[1] >>> 0).toString(16)).slice(-8)};function printComponents(components) {var values = components.map(function(component) {return component.value});var hash = Fingerprint2_x64hash128(values.join(''), 31);return hash
}var components = [{"key": "userAgent","value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"},{"key": "webdriver","value": false},{"key": "language","value": "zh-CN"},{"key": "colorDepth","value": 24},{"key": "deviceMemory","value": 8},{"key": "hardwareConcurrency","value": 12},{"key": "screenResolution","value": [1920,1080]},{"key": "availableScreenResolution","value": [1920,1032]},{"key": "timezoneOffset","value": -480},{"key": "timezone","value": "Asia/Shanghai"},{"key": "sessionStorage","value": true},{"key": "localStorage","value": true},{"key": "indexedDb","value": true},{"key": "addBehavior","value": false},{"key": "openDatabase","value": true},{"key": "cpuClass","value": "not available"},{"key": "platform","value": "Win32"},{"key": "plugins","value": [["PDF Viewer","Portable Document Format",[["application/pdf","pdf"],["text/pdf","pdf"]]],["Chrome PDF Viewer","Portable Document Format",[["application/pdf","pdf"],["text/pdf","pdf"]]],["Chromium PDF Viewer","Portable Document Format",[["application/pdf","pdf"],["text/pdf","pdf"]]],["Microsoft Edge PDF Viewer","Portable Document Format",[["application/pdf","pdf"],["text/pdf","pdf"]]],["WebKit built-in PDF","Portable Document Format",[["application/pdf","pdf"],["text/pdf","pdf"]]]]},{"key": "canvas","value": ["canvas winding:yes","canvas fp:data:image/png;base64,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"]},{"key": "webgl","value": ["data:image/png;base64,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","extensions:ANGLE_instanced_arrays;EXT_blend_minmax;EXT_color_buffer_half_float;EXT_disjoint_timer_query;EXT_float_blend;EXT_frag_depth;EXT_shader_texture_lod;EXT_texture_compression_bptc;EXT_texture_compression_rgtc;EXT_texture_filter_anisotropic;EXT_sRGB;KHR_parallel_shader_compile;OES_element_index_uint;OES_fbo_render_mipmap;OES_standard_derivatives;OES_texture_float;OES_texture_float_linear;OES_texture_half_float;OES_texture_half_float_linear;OES_vertex_array_object;WEBGL_color_buffer_float;WEBGL_compressed_texture_s3tc;WEBGL_compressed_texture_s3tc_srgb;WEBGL_debug_renderer_info;WEBGL_debug_shaders;WEBGL_depth_texture;WEBGL_draw_buffers;WEBGL_lose_context;WEBGL_multi_draw","webgl aliased line width range:[1, 1]","webgl aliased point size range:[1, 1024]","webgl alpha bits:8","webgl antialiasing:yes","webgl blue bits:8","webgl depth bits:24","webgl green bits:8","webgl max anisotropy:16","webgl max combined texture image units:32","webgl max cube map texture size:16384","webgl max fragment uniform vectors:1024","webgl max render buffer size:16384","webgl max texture image units:16","webgl max texture size:16384","webgl max varying vectors:30","webgl max vertex attribs:16","webgl max vertex texture image units:16","webgl max vertex uniform vectors:4095","webgl max viewport dims:[32767, 32767]","webgl red bits:8","webgl renderer:WebKit WebGL","webgl shading language version:WebGL GLSL ES 1.0 (OpenGL ES GLSL ES 1.0 Chromium)","webgl stencil bits:0","webgl vendor:WebKit","webgl version:WebGL 1.0 (OpenGL ES 2.0 Chromium)","webgl unmasked vendor:Google Inc. (NVIDIA)","webgl unmasked renderer:ANGLE (NVIDIA, NVIDIA GeForce GTX 1050 Ti Direct3D11 vs_5_0 ps_5_0, D3D11)","webgl vertex shader high float precision:23","webgl vertex shader high float precision rangeMin:127","webgl vertex shader high float precision rangeMax:127","webgl vertex shader medium float precision:23","webgl vertex shader medium float precision rangeMin:127","webgl vertex shader medium float precision rangeMax:127","webgl vertex shader low float precision:23","webgl vertex shader low float precision rangeMin:127","webgl vertex shader low float precision rangeMax:127","webgl fragment shader high float precision:23","webgl fragment shader high float precision rangeMin:127","webgl fragment shader high float precision rangeMax:127","webgl fragment shader medium float precision:23","webgl fragment shader medium float precision rangeMin:127","webgl fragment shader medium float precision rangeMax:127","webgl fragment shader low float precision:23","webgl fragment shader low float precision rangeMin:127","webgl fragment shader low float precision rangeMax:127","webgl vertex shader high int precision:0","webgl vertex shader high int precision rangeMin:31","webgl vertex shader high int precision rangeMax:30","webgl vertex shader medium int precision:0","webgl vertex shader medium int precision rangeMin:31","webgl vertex shader medium int precision rangeMax:30","webgl vertex shader low int precision:0","webgl vertex shader low int precision rangeMin:31","webgl vertex shader low int precision rangeMax:30","webgl fragment shader high int precision:0","webgl fragment shader high int precision rangeMin:31","webgl fragment shader high int precision rangeMax:30","webgl fragment shader medium int precision:0","webgl fragment shader medium int precision rangeMin:31","webgl fragment shader medium int precision rangeMax:30","webgl fragment shader low int precision:0","webgl fragment shader low int precision rangeMin:31","webgl fragment shader low int precision rangeMax:30"]},{"key": "webglVendorAndRenderer","value": "Google Inc. (NVIDIA)~ANGLE (NVIDIA, NVIDIA GeForce GTX 1050 Ti Direct3D11 vs_5_0 ps_5_0, D3D11)"},{"key": "adBlock","value": false},{"key": "hasLiedLanguages","value": false},{"key": "hasLiedResolution","value": false},{"key": "hasLiedOs","value": false},{"key": "hasLiedBrowser","value": false},{"key": "touchSupport","value": [0,false,false]},{"key": "fonts","value": ["Arial","Arial Black","Arial Narrow","Book Antiqua","Bookman Old Style","Calibri","Cambria","Cambria Math","Century","Century Gothic","Comic Sans MS","Consolas","Courier","Courier New","Georgia","Helvetica","Impact","Lucida Console","Lucida Handwriting","Lucida Sans Unicode","Microsoft Sans Serif","Monotype Corsiva","MS Gothic","MS PGothic","MS Reference Sans Serif","MS Sans Serif","MS Serif","Palatino Linotype","Segoe Print","Segoe Script","Segoe UI","Segoe UI Light","Segoe UI Semibold","Segoe UI Symbol","Tahoma","Times","Times New Roman","Trebuchet MS","Verdana","Wingdings","Wingdings 2","Wingdings 3"]},{"key": "audio","value": "124.04347527516074"}
]
function get_login_url(CallBack, userName, checkCode, password) {password = getMD5Value(password)aws = printComponents(components)var url = 'https://aq.99.com/AjaxAction/AC_userlogin.ashx'return url + "?CallBack=" + CallBack + "&siteflag=995&nduseraction=login&txtUserName=" + userName + "&txtPassword=" + password + "&checkcode=" + checkCode + "&Rnd=" + Math.random() + "&aws=" + aws;
}

Python源码：

"""
Email：912917367@qq.com
Date: 2023/8/24 10:18
"""
import re
import timeimport execjs
import requestsfrom utils.chaojiying import ChaojiyingClientclass Spider:def __init__(self, username, password):self.session = requests.session()self.session.headers = {"authority": "checkcode.99.com","referer": "https://aq.99.com/","user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36"}self.callback = 'jQuery112401962284678331523_1692843120473'self.ticket = ''self.img_url = ''self.pic_str = ''self.username = usernameself.password = passworddef get_ticket(self):url = "https://checkcode.99.com/token"params = {"action": "getticket","bussiness": "aq_login","callback": self.callback,"_": str(int(time.time() * 1000))}response = self.session.get(url, params=params)pattern = r'"ticket":"(.*?)"'self.ticket = re.findall(pattern, response.text)[0]print('ticket：', self.ticket)def get_img_url(self):url = "https://aq.99.com/AjaxAction/AC_verifycode.ashx"params = {"CallBack": self.callback,"nduseraction": "getverifycodestate","verifycodetype": "UserLogin","bussiness": "aq_login","ticket": self.ticket,"SiteFlag": "995","RND": "0.7099289496089389","_": str(int(time.time() * 1000))}response = self.session.get(url, params=params)pattern = r'"VerifyCodeUrl":"(.*?)"'self.img_url = re.findall(pattern, response.text)[0]print('img_url：', self.img_url)def get_img_code(self):response = self.session.get(self.img_url)with open('img.png', 'wb') as f:f.write(response.content)cjy = ChaojiyingClient('打码平台账号', '打码平台密码', '946014')im = open('img.png', 'rb').read()pic_data = cjy.post_pic(im, 1902)self.pic_str = pic_data['pic_str']print('pic_str：', self.pic_str)def login(self):with open('get_params.js', 'r', encoding='utf-8') as f:js_obj = execjs.compile(f.read())url = js_obj.call('get_login_url', self.callback, self.username, self.pic_str, self.password)response = self.session.get(url)print(response.text)print(response)if __name__ == '__main__':s = Spider('账号', '密码')s.get_ticket()s.get_img_url()s.get_img_code()s.login()