头条爬虫失败的JS逆向过程
2020年5月28日18:48:03第一次编写。
头条爬虫失效了,请求新闻详情页面,会返回JS页面,进行JS执行,然后带着JS执行出来的参数再次请求,会请求到正确的页面。
返回的需要重定向的页面
<html>
<head>
<meta charset="UTF-8" />
</head>
<body></body>
<script src='https://sf1-ttcdn-tos.pstatp.com/obj/rc-web-sdk/acrawler.js'></script>
<script>
window.byted_acrawler.init({aid:99999999,dfp:!0});
var b;
a:{
for(var c=document.cookie.split(/[;&]/),d,e=0;e<c.length;e++){
for(d=c[e];""===d.charAt(0);)
d=d.substring(1,d.length);
if(0===d.indexOf("__ac_nonce=")){
b=d.substring(11,d.length);
break a
}}
b=""}
var f=b;
var g=window.byted_acrawler.sign("",f);
document.cookie="__ac_signature=; expires=Mon, 20 Sep 1970 00:00:00 UTC; path=/;";
document.cookie="__ac_signature="+g+"; expires="+(new Date((new Date).getTime()+18E5)).toGMTString()+"; path=/;";
window.location.reload();
</script>
</html>
JS描述
- 初始化加密函数
- 获取cookie里面的
__ac_nonce=
- 将其加密后,放入
__ac_signature=
Cookie中 - 重新请求页面
现在我们的重要任务就是这个加密函数了
对加密函数进行解析
访问上面的请求地址,发现JS文件是这样的
Function(function(t){return'w={S(S,a){if(!y[S]){y[S]={};for(K=0;K<S;K)y[S][S.charAt(K)]=K}y[S][a]}a=String.fromCharCode,y={},K={x:(a){null==a?"":""==a?null:K.y(a,32,(y){S("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=",a.charAt(y})},y:(S,y,K){p,i,J,r,q,o,m,z=[],n=4,T=4,l=3,V="",j=[],u={val:K(0),position:y,index:1};for(p=0;p<3;p+=1)z[p]=p;for(J=0,q=Math.pow(2,2),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;switch(J){case 0:for(J=0,q=Math.pow(2,8),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;m=a(J)1:for(J=0,q=Math.pow(2,16),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;m=a(J)2:""}for(z[3]=m,i=m,j.push(m);;){if(u.index>S)"";for(J=0,q=Math.pow(2,l),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;switch(m=J){case 0:for(J=0,q=Math.pow(2,8),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;z[T]=a(J),m=T-1,n--1:for(J=0,q=Math.pow(2,16),o=1;o!=q;)r=u.val&u.position,u.position>>=1,0==u.position&&(u.position=y,u.val=K(u.index,J|=(r>0?1:0)*o,o<<=1;z[T]=a(J),m=T-1,n--2:j.join("")}if(0==n&&(n=Math.pow(2,l),l),z[m])V=z[m]if(m!==T)null;V=i+i.charAt(0)}j.push(V),z[T]=i+V.charAt(0),i=V,0==--n&&(n=Math.pow(2,l),l)}}};K};""==typeof define&&define.amd?define({w}):"undefined"!=typeof module&&null!=module?module.exports=w:"undefined"!=typeof angular&&null!=angular&&angular.module("w",[]).factory("w",{w}),eval(w.x("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";'.replace(/[-]/g,function(m){return t[m.charCodeAt(0)&15]})}("var function ().length++return ));break;case ;else{".split("")))();
你会发现这里面有很多不能正常显示的符号,选择用notepad++打开
我们对原始的JS文件进行修改
在文件的最后面的截取放在Chrome中执行。
然后对最前面和之后面的部分进行修改。
在最前面定义了一个变量t
,原因是将其和之前的JS方法相同,执行结果为
点击Copy
将其复制出来。现在我们进入JS文件的第二层。对其进行简单分析,发现了
eval
执行了JS,现在我们只要JS的转义内容,并不需要其执行。
首先复制这一块,放入Chrome中执行,然后复制eval里面的内容,
,执行的结果为
,点击copy,我们现在进入第三层。
按照之前的分析,我们需要执行TAC
里面的内容了,但是TAC
里面的内容是会被执行的,与之前的概念是不一样的,之前的eval
里面的内容是需要解析之后,使用eval
执行的。
现在我们将代码格式化一下。
var _typeof = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ?
function(f) {
return typeof f
}: function(f) {
return f && "function" == typeof Symbol && f.constructor === Symbol && f !== Symbol.prototype ? "symbol": typeof f
};
TAC = function() {
function f(f, a, b, d, c, r) {
null == r && (r = this);
var n, i, o = {},
l = o.d = c ? c.d + 1 : 0;
for (o["$" + l] = o, i = 0; i < l; i++) o[n = "$" + i] = c[n];
for (i = 0, l = o.length = d.length; i < l; i++) o[i] = d[i];
return e(f, a, b, o, r)[1]
}
function e(r, o, l, t, v, y) {
function h(f) {
S[++A] = f
}
function k() {
return S[A--]
}
function m(f, e) {
for (var a = b,
d = "",
c = 0; c < f.length; c++) {
var r = f.charCodeAt(c);
d += String.fromCharCode(a ^ r),
a = (a << 1) + c + e + 1 + (a >> 1) & 255
}
return d
}
null == v && (v = this);
var g, C, x, I, S = [],
A = 0;
y && (g = y);
for (var w = o + 2 * l; o < w;) {
var z = 13 * i(r, o) % 241;
if (o += 2, 0 == (3 & z)) if (0 == (3 & (z >>= 2))) {
if (0 == (z >>= 2)) return [1, S[A--]];
if (2 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[++A] = +I;
else if (4 == z) g = S[A--],
S[A] = S[A] * g;
else if (6 == z) g = S[A--],
S[A] = S[A] != g;
else if (13 == z) C = S[A--],
x = S[A--],
(I = S[A--]).x === e ? S[++A] = f(r, I.pc, I.len, C, I.z, x) : S[++A] = I.apply(x, C);
else {
if (15 != z) break;
oprand = n(r, o),
I = oprand[1],
S[A] = function(a, b) {
var d = function e() {
var a = arguments;
return f(r, e.pc, e.len, a, e.z, this)
};
return d.pc = a,
d.len = b,
d.x = e,
d.z = t,
d
} (o + 6, I - 4),
o += 2 * I - 2
}
} else if (1 == (3 & z)) if (3 == (z >>= 2)) g = S[--A],
S[A] = g(S[A + 1]);
else if (5 == z) S[A -= 1] = S[A][S[A + 1]];
else if (7 == z) S[A] = --S[A];
else {
if (9 != z) break;
g = S[A--],
S[A] = typeof g
} else if (2 == (3 & z)) if (6 == (z >>= 2)) S[A] = u(S[A]);
else if (8 == z) g = S[A--],
oprand = n(r, o),
o += 2 * oprand[0],
S[A--][m(a[oprand[1]], oprand[1])] = g;
else {
if (10 != z) {
if (12 == z) throw S[A--];
break
}
S[A] = ~S[A]
} else if (0 == (z >>= 2)) S[++A] = null;
else if (2 == z) g = S[A--],
S[A] = S[A] >= g;
else if (9 == z) g = k(),
C = k(),
t[0] = 65599 * t[0] + t[g].charCodeAt(C) >>> 0;
else if (11 == z) S[++A] = void 0;
else {
if (13 != z) break;
g = S[A--],
S[A] = S[A] && g
} else if (1 == (3 & z)) if (0 == (3 & (z >>= 2))) {
if (4 == (z >>= 2)) {
oprand = n(r, o),
I = oprand[1];
try {
if (d[c][2] = 1, 1 == (g = e(r, o + 6, I - 4, t, v))[0]) return g
} catch(y) {
if (d[c] && d[c][1] && 1 == (g = e(r, d[c][1][0], d[c][1][1], t, v, y))[0]) return g
} finally {
if (d[c] && d[c][0] && 1 == (g = e(r, d[c][0][0], d[c][0][1], t, v))[0]) return g;
d[c] = 0,
c--
}
o += 2 * I - 2
} else if (6 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[A -= I] = p("x,y", "return new x[y](" + Array(I + 1).join(",x[++y]").substr(1) + ")")(S, A);
else if (8 == z) g = S[A--],
S[A] = S[A] & g;
else if (10 != z) break
} else if (1 == (3 & z)) if (0 == (z >>= 2)) S[A] = !S[A];
else if (7 == z) C = S[A--],
g = delete S[A--][C];
else if (9 == z) oprand = n(r, o),
o += 2 * oprand[0],
S[A] = S[A][m(a[oprand[1]], oprand[1])];
else {
if (11 != z) break;
g = S[A--],
S[A] = S[A] << g
} else if (2 == (3 & z)) if (1 == (z >>= 2)) S[++A] = g;
else if (3 == z) g = S[A--],
S[A] = S[A] <= g;
else if (10 == z) g = S[A -= 2][S[A + 1]] = S[A + 2],
A--;
else if (12 == z) g = S[A],
S[++A] = g;
else {
if (14 != z) break;
g = S[A--],
S[A] = S[A] || g
} else if (0 == (z >>= 2)) S[A] = !S[A];
else if (2 == z) oprand = n(r, o),
o += 2 * (I = oprand[1]) - 2;
else if (4 == z) g = S[A--],
S[A] = S[A] / g;
else if (6 == z) g = S[A--],
S[A] = S[A] !== g;
else {
if (13 != z) break;
S[++A] = v
} else if (2 == (3 & z)) if (0 == (3 & (z >>= 2))) if (1 == (z >>= 2)) g = S[A--],
S[A] = S[A] > g;
else if (8 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
C = A + 1,
S[A -= I - 1] = I ? S.slice(A, C) : [];
else if (10 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
g = S[A--],
t[I] = g;
else {
if (12 != z) break;
g = S[A--],
S[A] = S[A] >> g
} else if (1 == (3 & z)) if (0 == (z >>= 2)) S[++A] = s;
else if (2 == z) g = S[A--],
S[A] = S[A] + g;
else if (4 == z) g = S[A--],
S[A] = S[A] == g;
else if (11 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[--A] = p("x,y", "return x " + m(a[I], I) + " y")(S[A], S[A + 1]);
else {
if (13 != z) break;
g = S[A - 1],
C = S[A],
S[++A] = g,
S[++A] = C
} else if (2 == (3 & z)) if (1 == (z >>= 2)) oprand = n(r, o),
o += 2 * oprand[0],
S[++A] = m(a[oprand[1]], oprand[1]);
else if (3 == z) S[A--] ? o += 6 : (oprand = n(r, o), o += 2 * (I = oprand[1]) - 2);
else if (5 == z) g = S[A--],
S[A] = S[A] % g;
else if (7 == z) g = S[A--],
S[A] = S[A] instanceof g;
else {
if (14 != z) break;
S[++A] = !1
} else if (4 == (z >>= 2)) oprand = n(r, o),
I = oprand[1],
d[c][0] && !d[c][2] ? d[c][1] = [o + 6, I - 4] : d[c++] = [0, [o + 6, I - 4], 0],
o += 2 * I - 2;
else if (6 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[++A] = t["$" + I];
else {
if (8 != z) break;
g = S[A--],
S[A] = S[A] | g
} else if (0 == (3 & (z >>= 2))) if (1 == (z >>= 2)) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[++A] = +m(a[I], I);
else if (3 == z) g = S[A--],
S[A] = S[A] - g;
else if (5 == z) g = S[A--],
S[A] = S[A] === g;
else if (12 == z) C = S[A--],
x = S[A--],
(I = S[A--]).x === e ? S[++A] = f(r, I.pc, I.len, C, I.z, x) : S[++A] = I.apply(x, C);
else {
if (14 != z) break;
g = S[A],
S[A] = S[A - 1],
S[A - 1] = g
} else if (1 == (3 & z)) if (2 == (z >>= 2)) h(function(f) {
var e = 0,
a = f.length;
return function() {
var b = e < a;
b && h(f[e++]),
h(b)
}
} (S[A]));
else if (4 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
g = t[I],
S[++A] = g;
else if (6 == z) S[A] = ++S[A];
else {
if (8 != z) break;
g = S[A--],
S[A] = S[A] in g
} else if (2 == (3 & z)) if (5 == (z >>= 2));
else if (7 == z) g = S[A--];
else if (9 == z) g = S[A--],
S[A] = S[A] ^ g;
else {
if (11 != z) break;
oprand = n(r, o),
I = oprand[1],
d[++c] = [[o + 6, I - 4], 0, 0],
o += 2 * I - 2
} else if (1 == (z >>= 2)) g = S[A--],
S[A] = S[A] < g;
else if (8 == z) oprand = n(r, o),
o += 2 * oprand[0],
I = oprand[1],
S[A] = S[A][I];
else if (10 == z) S[++A] = !0;
else {
if (12 != z) break;
g = S[A--],
S[A] = S[A] >>> g
}
}
return [0, null]
}
var a = [],
b = 0,
d = [],
c = 0,
r = function(f, e) {
var a = "" + f[e++] + f[e];
return parseInt(a, 16)
},
n = function(f, e) {
var a = f[e++],
b = f[e],
d = parseInt("" + a + b, 16);
if (d >> 7 == 0) return d >> 6 != 0 && (d = -64 | 63 & d),
[1, d];
if (d >> 6 == 2) {
var c = parseInt("" + f[++e] + f[++e], 16);
return 0 != (32 & d) ? d = -32 | 31 & d: d &= 31,
d <<= 8,
c = d + c,
[2, c]
}
if (d >> 6 == 3) {
var r = parseInt("" + f[++e] + f[++e], 16),
n = parseInt("" + f[++e] + f[++e], 16);
return 0 != (32 & d) ? d = -32 | 31 & d: d &= 31,
d <<= 16,
r <<= 8,
n = d + r + n,
[3, n]
}
},
i = function(f, e) {
var a = f[e++],
b = f[e];
return parseInt("" + a + b, 16)
},
o = function(f, e) {
var a = "" + f[e++] + f[e];
return a = parseInt(a, 16),
String.fromCharCode(a)
},
l = function(f, e, a) {
for (var b = "",
d = 0; d < a; d++) b += o(f, e),
e += 2;
return b
},
t = function(f, e, b) {
for (var d = 0; d < b; d++) {
var c = n(f, e);
e += 2 * c[0];
var r = l(f, e, c[1]);
a.push(r),
e += 2 * c[1]
}
},
s = this,
p = s.Function,
u = Object.keys ||
function(f) {
var e = {},
a = 0;
for (var b in f) e[a++] = b;
return e.length = a,
e
};
return function(e) {
e.length;
for (var d = 0,
c = "",
i = d; i < d + 16;) c += o(e, i),
i += 2;
if ("HNOJ@?RC" != c) throw new Error("error magic number " + c);
n(e, d += 16);
d += 8,
b = 0;
for (var l = 0; l < 4; l++) {
var s = r(e, d + 2 * l);
b += (3 & s) << 2 * l
}
d += 16;
var p = n(e, d += 16),
u = p[1],
v = d += 2 * p[0];
d += p[1];
var y = n(e, d);
y[1];
d += 2 * y[0],
a = [],
t(e, d, y[1]),
f(e, v, u, [])
}
} (),
TAC("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7e30f78663b932d08e30e7b6700723aa411f7096761e20e65704b0869631b2eb69bfa03fd047806f70b6e0ecf9205e70a7f36b80cf7155519891269420e21aa9019c7346622447e049aef044bde24890a7527cc900d0692ffef190cf7175c2044187921aa6329a015c53d663969ebe5e5fbfb81b1d7c935450cbbd5d1d917c53a62c205ac179b1fe69261c83312ffbe35713815bec308f71046ca014a185209fd1958f8f91b7f3c670ae31657ecb2d3c1dda27405e31d4fc3da04e30921dd0dfd1729d39d0347ec3690ffe71109f91529a3776b3b63c105e30832bd4404a74f3ea208f6113c910687144a0af6103b992c451b2da46a0bffe63f8be2197ae7e611750cffe73a727b1c6a112ba179390cc4f0056e4ed2b15bc8d8c2da09c7ea0d73348e0f742207c3fd0b790d4bfa08c3e00d47e14b78da0ad3e90040d4d38e209eee0bc3ee1c68c08948640027b508dddc5503aa45edd205d7fc1426840adcef19366742cab75dd305c4fe11057a06dde9ea1f4ede06c6ffef182b8f09d3e1f8e50254fab11c09d1ffecfbe1015ec29407d9e2f8e7c8e4ac08c0f0f8fcc086ed190ad3fdf4c7bf56da2375ea08c0fffac984072fb408dafbf4de7058d49809c0f4d0a7721f2a96d40addc5868043cd6d59d36709c4e089942e80a7cbd106dfc8f9ab257906d6ecc49e0d1306d1ccf1b8d5ee0cd1e9de9fddd1dac3bb2b7f090ac3fdcd66349d859a175d09d3fccd660059d277010addc79054c0385106463f01bc0af7c5bd60df8ed79fc8ac04f9d5a95404e0d7a32c04e4daa32907e6c1a52471131908f6ccb6055ed87d0e02b3850af7c29535135aa56aa02b06e3dc9717101804cb92ceda01b009f7ce9bd9a857bf324806f3c39cce8a1a09e3c882ed94d34bf2aa0ba39fcf8a21b3a2892ba18931ad94dda454c973fcd47a5b1d75faea64326711800c116e129e23bde1743dbe9f2b9021a3f9dc9611002205f492da0cc0f00aab906434790b3096dd3e0be4de431874cea2142678ee09ab927801498eb39c2b0ef7d67f3b2b72e2a93e472b41ba1909c7d16d20010023631610d3c7771df2c5c2dfcd9b972e99a1365e0ff7d362c9c393fdb0214c325fb41d0904f5c178e308f7dd69c8a0051d5811c2ed63f38ec594d5a0302b620e19071d1314fdd55efc5c29302d6808cfd540bf0c05143b5fb217e7de45dd74ebb7c18d0e226bf3e29dd0539eb40ac896b81ce3c85eaf0395eca31c57e7974abf060f0b004f3b2c62b4fc5244a6d704e5cf42b90af9dd57860818123346933eb8e405f0bbfd979a2546f98351adf020a3f33c207c07e4fb943c12be250a5f3df83250886986c5f39f57c1fd28c334a55dba38d69ef651f107e90b9e453635cee808d1adb58dc4f57f4ea1b469773127b5de8d03a9ff04aac38c54d83fafc088a4fab6974c8308a492e6c89194fa278d5124917e11f3b35990c241fc4abf3d0b7ffc83d84bb70ae3a734a8ba000a1af0da0bf3b126651c06185c95a73b13e3a13343ebc96b17d2befbd94a9dbb110e021309f3a4247cf583c28eb004f5be2b400effa93848a8003a267ec168e6cf5b04e5bd3c5220e8b12047791f1f10140feba2b9b516facc4d8ea2ed91c435407dfeb20dd968df04cbb2251701e80df3a4063e246eb5e1da27578c3f0bf7a812250b0316e4b1102805e4ba0918e70df5a10e0be197d94ed355b3b3f78040d19232c0f076a2e251e654f31d7244c1b0f8719bd5ea04156647a81acc5d76d32c2b5968fb98828da90fbfe774d14466c80dc4088859930323ec8948d8ed9a410ef1a207e8a10915f8a8bce895bbff01e001e207f6bb0dee7bd24302ce8b01a60cf6a7d9b50c0c14c14383fdb203afa9b012f5b7f3b4f38b9c3fc18e15c15a89d332372b08e2bfe0b9d757671a02f6ab0ecfbee28d80d0647efe9ca58bbdf60ccfafff7522c2519eabbbc24e07e4aafd7efa918303f4b9d503f189cd01fe01f609e397d24e60e5537fca01e409f187d33c21416ff7820ae48fd33e1708d83f226208e08ba0171fde4c4d13f889b70ae19a8a97a7ad00fe66c9121ba4ea9e0cf48cbe1ece5047c575aa04cb08fc8ba2e5bf1ea31709fc8aa1edaad52d275c0ae289a0fa978e8869e4890ff19bb7f77fea3311eea3e68a62c32e09e38da8cc4a915ccf6d0ae38cafd4215b5cd0342810f49597d5021b98ebacc74aa38c90a6f40ae0838ba10dda2826c13107f2939ca4f070ed09e49c9ebbc27172b1c408e49d8286bc10a0f00ae49c9f89adc809fa7d8707f78683be9465f50bfa84bf9061cc13c98bbfe20be094886dc52c496b9177d70ae4906df670e87db0b04a09e58961ec6181b3c13a0af58d62d47674b4d719d601fd0be38460ce08e7628e60a5e50cfe9f66acf38396d81ba5f08205e28b7684ca09f670cf7da5c608ff690bcf5eea449c839f69c1092608f36ec94965cd24d40ae46ace51539b9468de620bf57cd35a52526e6fd70df303f169c60cf763da0019dd1aa7e06d91ba03e575dd2cfe67db05c7195e5070db7ef77ad97a9f29a9c2283df369de455c493aa871c58f42546df27ab7919d413303da0bf466d521d60793f27b8bbb08e078d30eb9de108904a03b8fb208a03cf3bd378947e202a13d05f46ba8d45c05fe60a3ca350bf27fb5cd3bddefc760abac0af27eb0c4db9f769b9c2e05e167bdbad806f160a8b9d11809e075abb3bcdce46dfa09e461bd938f984a6ef006b663938662fc08fe7887947ea56f8a0aa42ad43681b6c228c11209f67ca66ebdc9ee67a208e0758762a6578ed40ec856bb5675cdf65aabcfe253361f04c053a87d10e3788a60504c27ed6391b2555929e77a0cd3716cc9f44a61dd418b6c6310f16f75a9cf39fc3103a7daac63aa8d9404e34567b40ee3556dabae928076b8daf135fe5010f14674a181424e64a561a4a988789b3103fe4c6403a1162513f8447464acc41ff04133ff4e4f05f9d73bd6ee06f14a6a40b99107f353537fba787507fd4d517f45827f08e3414141516a7d7a01f413f84a415e3bc508ca15a3b1d0f33be11db895330ef344522b14826eb76da4b48f758b0ae442432de3464142415f09e4414f3acf06b9956107e4404802d4c42d05f65f330fbc08e45e31169840445c07f35e21e5639a7a07f35f22ed4c507301e909f15136c839e41f893103a1046609f9440dddf2575a2dee03a10a6e0cf75c1486cdcd147cb85e4b0b09fd5511bdbd965b2dd407fd5412a588524909fd531e926c83433eea07fb58178e4e5c2b05fb5b0b804d0ee65e199436c9f478735c3f75607408e325176cab5023d601e501fc01f110f32bea5f26d7ed1ea72cce25e237808505e527df4a000ce323e027c9580eae590f913203a175a012e22df839ccd0e8e029d832be9f521870513413e22cf530a78a7e0c7c493feae23bd6e154e7450df939d9048f5b196963ab3fa36e14cf2ef11361825e2c414f17663ebb907938bc72560cf922d7186d56088a288ab20d10ff3bc3f4451b63992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[]);
大致浏览一下代码,特征为
- 比较多的
位运算
,四则运算。 - 没有看到标准JS的内容,如window,document等之类的内容。
- 整个的方法里面,全部都是运算操作,还有赋值的操作。
- 最后
TAC
返回的是一个function
,该方法调用了里面其他的方法。
如果我们将其作为node代码运行,并不会报错,但是在JS文件中的最下面加上前面HTML代码里面JS加密的内容,就会看到错误
你可能会比较好奇为什么上面的看不懂得东西能执行。可以试试下面得代码,上面是加密,下面得解密执行。原理是一样得。
const a = 'var iFan = "1"; console.log("iFan = " + iFan)'
let c = "";
for(let i = 0; i < a.length; i++) {
let b = a.substring(i, i+1).charCodeAt('')
if (("" + b).length < 3) {
c = c + "0" + b;
}else{
c = c + b;
}
}
console.log(c);
///////////////////////////////
let d = '';
for(let i = 0; i < c.length; i+=3) {
d += String.fromCharCode(c.substring(i, i+3));
}
console.log(d);
eval(d);
我们知道NodeJs里面的一些变量和浏览器是不同的,比如就没有window
变量,但是有global
变量
window = global
我们将其赋值给window之后,还是会发现少变量。当你一点点window内的变量进行完善之后,会发现你模拟了一个真正的浏览器。照这个思路,我发现了JsDom
这个包。可以使用一下,将jsdom内的window
,docuemnt
,navigate
等变量都赋值后,还是不行,因为缺少了一个叫canvas
的东西,canvas
是HTML5出的画图的,这个是无界面浏览器很难模拟的。你可以装上Node的一个canvas
的包之后,jsdom
也是可以模拟出来的(192.168.2.187上我已经弄好了环境,canvas比较难装,可以直接使用上面的。)。最终这块代码可以运行之后,你会发现,加密出来的长度比较短,和直接在浏览器上运行有很大的差别。
上面的一通操作之后,我们发现,没有作用。究其原因,还是Node的变量环境和Chrome有一定的差别,现在我们需要看一看,到底差别在哪。
我们需要在https://sf1-ttcdn-tos.pstatp.com/obj/rc-web-sdk/acrawler.js
网址下执行,否则会出现跨域得异常,所以我们又会看到一个信息,加密函数在执行时,会进行AJAX请求。
我们在JS代码中加入这一串,放入Chrome中执行,你的浏览器这时会比较卡,会看到加密函数可能会用到得变量。很多信息是用户比较隐私得信息,比如Cpu,显卡,Cookie等信息。
加密使用得东西太多了,没办法判断是否都用上,而且如果都用上得话,如果后台解密得话,能否都获取到这些信息,如果都获取了这些信息,头条是完全可以反推出你这个用户得一些信息得。
加密出来的信息一定是可以解密的,否则,他就失去了将信息回传回去的必要了。
之后的解决思路为
- 模拟出加密函数需要获取的值,现在已经尝试了用
jsdom
,失败。 - 本地不进行模拟的根本原因是:太多了!干不过来!
- 尝试对加密函数进行
平坦化
,尽量使代码可读,去除掉非加密程序块,保留必要的。 - 递归太深了,拉平了之后可能会好很多。
关于我说的递归太深,你体验下
JS解析到现在,算是到了比较难得地方了。我也找过网上得一些教程,博客,但是就是到了模拟全局变量得时候,写得很模糊。
头条爬虫得JS逆向到这就进行不下去了,暂时停止先找找思路吧。
// 使用chrome,F12打开控制台,在console执行就好。
var canvas = document.createElement('canvas');
var gl = canvas.getContext('webgl'); // 等同于 canvas.getContext('experimental-webgl');
var debugInfo = gl.getExtension('WEBGL_debug_renderer_info');
// GPU制造商
console.log( gl.getParameter(debugInfo.UNMASKED_VENDOR_WEBGL) );
// GPU型号
console.log( gl.getParameter(debugInfo.UNMASKED_RENDERER_WEBGL) );
本次JS逆向过程不包括其他实验过程,如puppeter,mimtproxy等。
手机的API也不包括,虽然也实验了,需要换成低版本才可以。