js逆向之企名片公司信息的抓取

最近应公司需求抓取企名片这个网站，抓取创业项目模块的信息，经过抓取分析发现这网站存在js加密，下面就让我们一步步的分析抓取这个网站。

目标：

抓取企名片网站数据子类下的公司融资信息（创业项目），并把抓取的数据存储到数据库中。

抓取目标

目标分析：

首先通过浏览器对创业请求这个页面进行抓包分析：

pinvestment请求
可以看到Doc类型的页面只有pinvestment，它的状态码是304，而它响应内容并没有我们想要的数据，我们继续看XHR类型的数据包：
productListVip请求
industryFieldVip请求
XHR类型的请求有两个，它们的返回是结构都是一样的，而且encrypt_data参数加了密，很有可能是我们想要的数据，我们通过搜索关键字得到与encrypt_data参数相关的请求和文件：
搜索结果
查找参数
可以看到只找到了一个文件有encrypt_data参数，点开这个js文件搜索发现有6处出现了encrypt_data参数，观察这6处我们很难发现浏览器是如何解密encrypt_data参数并渲染到页面上的，所有我们可以通过XHR/fetch Breakpoints来调试，在XHR/fetch Breakpoints添加断点名称填productListVip(加密文件的名称)，然后重新刷新网页：
添加断点
刷新网页后页面会进入调试状态，我们一步一步调试，观察每个调试参数，直到找到解密的方法，最后发现e.data里有我们想要的数据：
e.data数据
可以看到e.data等于Object(u.a)(e.encrypt_data)，在Console里输入Object(u.a)(e.encrypt_data)发现得到数据就是我们想要的数据： Console执行代码
知道目标后我们就要对它进行分析，首先把鼠标光标放在Object上会发现它是一个f对象，再把鼠标光标放在u.a上可以看到解密方法，把鼠标光标放在e.encrypt_data上可以看到解密传递的是encrypt_data参数里的数据：
Object
u.a
e.encrypt_data
点击u.a进入解密方法：
解密方法
可以看到解密方法function o(t)，function o(t)里返回JSON.parse(s("5e5062e82f15fe4ca9d24bc5", a.a.decode(t), 0, 0, "012345677890123", 1))
所以要解密首先要找到s函数，s函数里有6各参数5个都是固定的，只有a.a.decode(t)是需要调用的，所以还要找到a.a.decode(t)是如何生成的，在此行代码打上断点然后调试：
s函数
a.a.decode函数
找到s函数和decode函数：
s函数体
decode函数体
可以s函数里面的代码逻辑实在太多了，如果把它读懂然后用Python把它的逻辑实现可能有点麻烦，因此我们可以选择用Python里的js运行库来运行js，Python里的js运行库有很多如js2py和pyexecjs等，选一个自己熟悉的就行，这里选择js2py，首先把涉及到所有的解密代码抠下来：

import js2py

decode_js = """
        function decode(e) {
                        d = /[\\t\\n\\f\\r ]/g
                        u = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
                        var t = (e = String(e).replace(d, "")).length;
                        t % 4 == 0 && (t = (e = e.replace(/==?$/, "")).length),
                        (t % 4 == 1 || /[^+a-zA-Z0-9/]/.test(e)) && c("Invalid character: the string to be decoded is not correctly encoded.");
                        for (var n, i, r = 0, o = "", a = -1; ++a < t; )
                            i = u.indexOf(e.charAt(a)),
                            n = r % 4 ? 64 * n + i : i,
                            r++ % 4 && (o += String.fromCharCode(255 & n >> (-2 * r & 6)));
                        return o
                    }
"""
s_js = """
        function s(t, e, i, n, a, s) {
            var o, r, c, l, u, d, h, p, f, v, m, g, b, y, _ = new Array(16843776,0,65536,16843780,16842756,66564,4,65536,1024,16843776,16843780,1024,16778244,16842756,16777216,4,1028,16778240,16778240,66560,66560,16842752,16842752,16778244,65540,16777220,16777220,65540,0,1028,66564,16777216,65536,16843780,4,16842752,16843776,16777216,16777216,1024,16842756,65536,66560,16777220,1024,4,16778244,66564,16843780,65540,16842752,16778244,16777220,1028,66564,16843776,1028,16778240,16778240,0,65540,66560,0,16842756), C = new Array(-2146402272,-2147450880,32768,1081376,1048576,32,-2146435040,-2147450848,-2147483616,-2146402272,-2146402304,-2147483648,-2147450880,1048576,32,-2146435040,1081344,1048608,-2147450848,0,-2147483648,32768,1081376,-2146435072,1048608,-2147483616,0,1081344,32800,-2146402304,-2146435072,32800,0,1081376,-2146435040,1048576,-2147450848,-2146435072,-2146402304,32768,-2146435072,-2147450880,32,-2146402272,1081376,32,32768,-2147483648,32800,-2146402304,1048576,-2147483616,1048608,-2147450848,-2147483616,1048608,1081344,0,-2147450880,32800,-2147483648,-2146435040,-2146402272,1081344), w = new Array(520,134349312,0,134348808,134218240,0,131592,134218240,131080,134217736,134217736,131072,134349320,131080,134348800,520,134217728,8,134349312,512,131584,134348800,134348808,131592,134218248,131584,131072,134218248,8,134349320,512,134217728,134349312,134217728,131080,520,131072,134349312,134218240,0,512,131080,134349320,134218240,134217736,512,0,134348808,134218248,131072,134217728,134349320,8,131592,131584,134217736,134348800,134218248,520,134348800,131592,8,134348808,131584), x = new Array(8396801,8321,8321,128,8396928,8388737,8388609,8193,0,8396800,8396800,8396929,129,0,8388736,8388609,1,8192,8388608,8396801,128,8388608,8193,8320,8388737,1,8320,8388736,8192,8396928,8396929,129,8388736,8388609,8396800,8396929,129,0,0,8396800,8320,8388736,8388737,1,8396801,8321,8321,128,8396929,129,1,8192,8388609,8193,8396928,8388737,8193,8320,8388608,8396801,128,8388608,8192,8396928), k = new Array(256,34078976,34078720,1107296512,524288,256,1073741824,34078720,1074266368,524288,33554688,1074266368,1107296512,1107820544,524544,1073741824,33554432,1074266112,1074266112,0,1073742080,1107820800,1107820800,33554688,1107820544,1073742080,0,1107296256,34078976,33554432,1107296256,524544,524288,1107296512,256,33554432,1073741824,34078720,1107296512,1074266368,33554688,1073741824,1107820544,34078976,1074266368,256,33554432,1107820544,1107820800,524544,1107296256,1107820800,34078720,0,1074266112,1107296256,524544,33554688,1073742080,524288,0,1074266112,34078976,1073742080), T = new Array(536870928,541065216,16384,541081616,541065216,16,541081616,4194304,536887296,4210704,4194304,536870928,4194320,536887296,536870912,16400,0,4194320,536887312,16384,4210688,536887312,16,541065232,541065232,0,4210704,541081600,16400,4210688,541081600,536870912,536887296,16,541065232,4210688,541081616,4194304,16400,536870928,4194304,536887296,536870912,16400,536870928,541081616,4210688,541065216,4210704,541081600,0,541065232,16,16384,541065216,4210704,16384,4194320,536887312,0,541081600,536870912,4194320,536887312), A = new Array(2097152,69206018,67110914,0,2048,67110914,2099202,69208064,69208066,2097152,0,67108866,2,67108864,69206018,2050,67110912,2099202,2097154,67110912,67108866,69206016,69208064,2097154,69206016,2048,2050,69208066,2099200,2,67108864,2099200,67108864,2099200,2097152,67110914,67110914,69206018,69206018,2,2097154,67108864,67110912,2097152,69208064,2050,2099202,69208064,2050,67108866,69208066,69206016,2099200,0,2,69208066,0,2099202,69206016,2048,67108866,67110912,2048,2097154), L = new Array(268439616,4096,262144,268701760,268435456,268439616,64,268435456,262208,268697600,268701760,266240,268701696,266304,4096,64,268697600,268435520,268439552,4160,266240,262208,268697664,268701696,4160,0,0,268697664,268435520,268439552,266304,262144,266304,262144,268701696,4096,64,268697664,4096,266304,268439552,64,268435520,268697600,268697664,268435456,262144,268439616,0,268701760,262208,268435520,268697600,268439552,268439616,0,268701760,266240,266240,4160,4160,262208,268435456,268701696), S = function(t) {
                for (var e, i, n, a = new Array(0,4,536870912,536870916,65536,65540,536936448,536936452,512,516,536871424,536871428,66048,66052,536936960,536936964), s = new Array(0,1,1048576,1048577,67108864,67108865,68157440,68157441,256,257,1048832,1048833,67109120,67109121,68157696,68157697), o = new Array(0,8,2048,2056,16777216,16777224,16779264,16779272,0,8,2048,2056,16777216,16777224,16779264,16779272), r = new Array(0,2097152,134217728,136314880,8192,2105344,134225920,136323072,131072,2228224,134348800,136445952,139264,2236416,134356992,136454144), c = new Array(0,262144,16,262160,0,262144,16,262160,4096,266240,4112,266256,4096,266240,4112,266256), l = new Array(0,1024,32,1056,0,1024,32,1056,33554432,33555456,33554464,33555488,33554432,33555456,33554464,33555488), u = new Array(0,268435456,524288,268959744,2,268435458,524290,268959746,0,268435456,524288,268959744,2,268435458,524290,268959746), d = new Array(0,65536,2048,67584,536870912,536936448,536872960,536938496,131072,196608,133120,198656,537001984,537067520,537004032,537069568), h = new Array(0,262144,0,262144,2,262146,2,262146,33554432,33816576,33554432,33816576,33554434,33816578,33554434,33816578), p = new Array(0,268435456,8,268435464,0,268435456,8,268435464,1024,268436480,1032,268436488,1024,268436480,1032,268436488), f = new Array(0,32,0,32,1048576,1048608,1048576,1048608,8192,8224,8192,8224,1056768,1056800,1056768,1056800), v = new Array(0,16777216,512,16777728,2097152,18874368,2097664,18874880,67108864,83886080,67109376,83886592,69206016,85983232,69206528,85983744), m = new Array(0,4096,134217728,134221824,524288,528384,134742016,134746112,16,4112,134217744,134221840,524304,528400,134742032,134746128), g = new Array(0,4,256,260,0,4,256,260,1,5,257,261,1,5,257,261), b = t.length > 8 ? 3 : 1, y = new Array(32 * b), _ = new Array(0,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0), C = 0, w = 0, x = 0; x < b; x++) {
                    var k = t.charCodeAt(C++) << 24 | t.charCodeAt(C++) << 16 | t.charCodeAt(C++) << 8 | t.charCodeAt(C++)
                      , T = t.charCodeAt(C++) << 24 | t.charCodeAt(C++) << 16 | t.charCodeAt(C++) << 8 | t.charCodeAt(C++);
                    k ^= (n = 252645135 & (k >>> 4 ^ T)) << 4,
                    k ^= n = 65535 & ((T ^= n) >>> -16 ^ k),
                    k ^= (n = 858993459 & (k >>> 2 ^ (T ^= n << -16))) << 2,
                    k ^= n = 65535 & ((T ^= n) >>> -16 ^ k),
                    k ^= (n = 1431655765 & (k >>> 1 ^ (T ^= n << -16))) << 1,
                    k ^= n = 16711935 & ((T ^= n) >>> 8 ^ k),
                    n = (k ^= (n = 1431655765 & (k >>> 1 ^ (T ^= n << 8))) << 1) << 8 | (T ^= n) >>> 20 & 240,
                    k = T << 24 | T << 8 & 16711680 | T >>> 8 & 65280 | T >>> 24 & 240,
                    T = n;
                    for (var A = 0; A < _.length; A++)
                        _[A] ? (k = k << 2 | k >>> 26,
                        T = T << 2 | T >>> 26) : (k = k << 1 | k >>> 27,
                        T = T << 1 | T >>> 27),
                        T &= -15,
                        e = a[(k &= -15) >>> 28] | s[k >>> 24 & 15] | o[k >>> 20 & 15] | r[k >>> 16 & 15] | c[k >>> 12 & 15] | l[k >>> 8 & 15] | u[k >>> 4 & 15],
                        i = d[T >>> 28] | h[T >>> 24 & 15] | p[T >>> 20 & 15] | f[T >>> 16 & 15] | v[T >>> 12 & 15] | m[T >>> 8 & 15] | g[T >>> 4 & 15],
                        n = 65535 & (i >>> 16 ^ e),
                        y[w++] = e ^ n,
                        y[w++] = i ^ n << 16
                }
                return y
            }(t), z = 0, j = e.length, B = 0, I = 32 == S.length ? 3 : 9;
            p = 3 == I ? i ? new Array(0,32,2) : new Array(30,-2,-2) : i ? new Array(0,32,2,62,30,-2,64,96,2) : new Array(94,62,-2,32,64,2,30,-2,-2),
            2 == s ? e += "        " : 1 == s ? i && (c = 8 - j % 8,
            e += String.fromCharCode(c, c, c, c, c, c, c, c),
            8 === c && (j += 8)) : s || (e += "\0\0\0\0\0\0\0\0");
            var F = ""
              , $ = "";
            for (1 == n && (f = a.charCodeAt(z++) << 24 | a.charCodeAt(z++) << 16 | a.charCodeAt(z++) << 8 | a.charCodeAt(z++),
            m = a.charCodeAt(z++) << 24 | a.charCodeAt(z++) << 16 | a.charCodeAt(z++) << 8 | a.charCodeAt(z++),
            z = 0); z < j; ) {
                for (d = e.charCodeAt(z++) << 24 | e.charCodeAt(z++) << 16 | e.charCodeAt(z++) << 8 | e.charCodeAt(z++),
                h = e.charCodeAt(z++) << 24 | e.charCodeAt(z++) << 16 | e.charCodeAt(z++) << 8 | e.charCodeAt(z++),
                1 == n && (i ? (d ^= f,
                h ^= m) : (v = f,
                g = m,
                f = d,
                m = h)),
                d ^= (c = 252645135 & (d >>> 4 ^ h)) << 4,
                d ^= (c = 65535 & (d >>> 16 ^ (h ^= c))) << 16,
                d ^= c = 858993459 & ((h ^= c) >>> 2 ^ d),
                d ^= c = 16711935 & ((h ^= c << 2) >>> 8 ^ d),
                d = (d ^= (c = 1431655765 & (d >>> 1 ^ (h ^= c << 8))) << 1) << 1 | d >>> 31,
                h = (h ^= c) << 1 | h >>> 31,
                r = 0; r < I; r += 3) {
                    for (b = p[r + 1],
                    y = p[r + 2],
                    o = p[r]; o != b; o += y)
                        l = h ^ S[o],
                        u = (h >>> 4 | h << 28) ^ S[o + 1],
                        c = d,
                        d = h,
                        h = c ^ (C[l >>> 24 & 63] | x[l >>> 16 & 63] | T[l >>> 8 & 63] | L[63 & l] | _[u >>> 24 & 63] | w[u >>> 16 & 63] | k[u >>> 8 & 63] | A[63 & u]);
                    c = d,
                    d = h,
                    h = c
                }
                h = h >>> 1 | h << 31,
                h ^= c = 1431655765 & ((d = d >>> 1 | d << 31) >>> 1 ^ h),
                h ^= (c = 16711935 & (h >>> 8 ^ (d ^= c << 1))) << 8,
                h ^= (c = 858993459 & (h >>> 2 ^ (d ^= c))) << 2,
                h ^= c = 65535 & ((d ^= c) >>> 16 ^ h),
                h ^= c = 252645135 & ((d ^= c << 16) >>> 4 ^ h),
                d ^= c << 4,
                1 == n && (i ? (f = d,
                m = h) : (d ^= v,
                h ^= g)),
                $ += String.fromCharCode(d >>> 24, d >>> 16 & 255, d >>> 8 & 255, 255 & d, h >>> 24, h >>> 16 & 255, h >>> 8 & 255, 255 & h),
                512 == (B += 8) && (F += $,
                $ = "",
                B = 0)
            }
            if (F = (F += $).replace(/\0*$/g, ""),
            !i) {
                if (1 === s) {
                    var O = 0;
                    (j = F.length) && (O = F.charCodeAt(j - 1)),
                    O <= 8 && (F = F.substring(0, j - O))
                }
                F = decodeURIComponent(escape(F))
            }
            return F
        }
"""
def o(t):
    js_context =  js2py.eval_js(s_js)
    ret2 = js_context("5e5062e82f15fe4ca9d24bc5", decode(t), 0, 0, "012345677890123", 1)
    return  ret2

def decode(t):
    js_context = js2py.eval_js(decode_js)
    ret = js_context(t)
    return ret

t = 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"""
res = o(t).encode('utf-8').decode('unicode_escape')
print(res)

解密代码测试结果：

解密结果

至于完整的项目代码就不贴了，你可以用scray、requests、urllib编写爬虫都可以，然后把解密代码拷贝进程序中就可以了

总结

对于js逆向最重要的就是调试，不断调试分析找到解密的代码块，缺什么补什么，对于js代码复杂的可以使用Python执行js的库来运行js，最后js逆向需要耐心，大胆假设和验证。