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逆向案例十二——看准网企业信息json格式的信息

news 2025/10/30 23:58:19

网址：【全国公司排行|排名榜单|哪家好】-看准网

打开开发者工具——刷新——网络——XHR——下滑页面加载新的页面——找到数据包

发现参数加密，返回的数据也进行了加密

按关键字在下方搜索 kiv进入第一个js文件

ctrl+f打开文件里面的搜索框继续搜kiv找到最为可能的地方打上断点

注意：如果此时刷新页面结果会是上图这样，我们要做的是下滑页面

可以明显看到b和kiv是由t和s赋值的

t由这一段代码生成 t = (0,M.mA)(n, { iv: s}).replace(/\//g, "_").replace(/\+/g, "-").replace(/=/g, "~")));

首先，调用了模块 M 的 mA 函数，传入了两个参数 n 和 { iv: s }。
- 第一个参数 n 是一个对象，作为 mA 函数的参数之一。
- 第二个参数是一个对象字面量 { iv: s }，其中 iv 是一个属性名，s 是一个变量，表示将 s 赋值给属性 iv。
mA 函数的返回结果被用作 replace() 方法的调用者。
- 第一个 replace() 方法调用，使用正则表达式 /\/g，将所有 / 替换为 _。
- 第二个 replace() 方法调用，使用正则表达式 /+/g，将所有 + 替换为 -。
- 第三个 replace() 方法调用，使用正则表达式 /=/g，将所有 = 替换为 ~。

这段代码的作用是对 M.mA(n, { iv: s }) 的返回结果进行处理，将其中的 /、+ 和 = 字符替换为 _、- 和 ~，然后将处理后的结果赋值给变量 t。

s由这一段代码生成 "string" == typeof a.data && a.data.indexOf("kiv") > -1 ? (t = (n = "string" == typeof a.data ? JSON.parse(a.data) : a.data).b, s = n.kiv) : (s = (0, M._A)()

这段代码是一个条件语句，根据条件的成立情况对变量进行赋值。让我来解释一下：

首先，检查变量 a.data 是否为字符串，并且该字符串中是否包含子串 "kiv"。如果是，则执行条件语句的第一个分支；否则执行第二个分支。
如果条件成立，即 a.data 是字符串且包含 "kiv"，则执行以下操作：
- 将变量 a.data 解析为 JSON 对象（如果它确实是一个字符串）或者直接使用 a.data（如果它已经是一个对象）。
- 将解析后的对象赋值给变量 n。
- 从对象 n 中获取属性 b 的值，赋值给变量 t。
- 从对象 n 中获取属性 kiv 的值，赋值给变量 s。
如果条件不成立，即 a.data 不是字符串或者不包含 "kiv"，则执行以下操作：
- 调用模块 M 的 _A 函数，并将返回的结果赋值给变量 s。

在这段代码中，typeof 操作符用于检查变量的类型，.indexOf() 方法用于查找字符串中是否包含指定的子串。条件语句的两个分支分别处理了不同的情况，并对变量进行了不同的赋值。

首先看t是如何生成的，进入M.ma函数，发现为函数h

在return处打上断点，并断在这里，释放其他断点，下滑页面即可，谨记一点，函数找到哪里，断点就打在哪里。因为可以明确传入的参数是什么样的，以及内部是否调用了其他函数。

在控制台打印e和t的值，发现传入的值与我们之前分析的一样

复制代码并运行

发现l函数没有定义，因此去找l函数，鼠标放在l上即可

进入复制l函数

观察发现很像标准AES加密方法，因此在代码中引入crypto-js标准库，并全面替换掉o

发现u没有定义，同样的方法复制u

同样的替换里面的o,最后运行得到结果

注意

一个非常易错的点，必须给传入的参数加双引号，不然得到的是错的！！！

现在的目标变为，如何找到传入的iv值和n值了，观察一开始的图，发现iv值刚好就是s,也同为kiv的值

看iv值如何生成，也即s如何生成，也即kiv的值如何生成

进入M._A函数

打上断点，发现传入的值为16

复制整个函数内容，并输入16，得到返回的结果

这个值就是kiv值，也就是iv值，也就是s的值

最终代码展现：

const CryptoJS = require('crypto-js')p = function(e) {void 0 === e && (e = 16);for (var t = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789".split(""), n = "", r = 0; r < e; r++) {n += t[Math.ceil(61 * Math.random())]}return n}
u = (s = null,function() {return s || (s = function() {var e, t, n, r, i = null;return i || (t = new RegExp("\\u200c","g"),n = new RegExp("\\u200d","g"),r = new RegExp(".{8}","g"),e = "‍‌‍‍‍‌‌‌‍‍‌‍‍‌‍‍‍‍‌‍‍‌‍‍‍‌‍‌‍‍‍‌‍‌‌‍‍‍‍‌‍‌‌‌‍‌‌‌‍‌‌‍‍‍‌‌‍‌‌‍‌‍‌‌‍‌‍‍‍‌‌‌‍‌‌‍‍‌‌‍‍‌‌‍‍‍‍‌‍‌‍‍‌‌‍‍‍‌‍‍‍‍‌‍‍‍‌‌‌‍‍‌‍‍‌‌‍‌‌‌‍‌‌‌‍‍‌‍".replace(r, (function(e) {return String.fromCharCode(parseInt(e.replace(t, 1).replace(n, 0), 2))})),i = {key: CryptoJS.enc.Utf8.parse(e),mode: CryptoJS.mode.CBC,pad: CryptoJS.pad.Pkcs7}),i}()),s})
l = function(e, t) {void 0 === e && (e = ""),void 0 === t && (t = "");var n = u(), r = CryptoJS.AES.encrypt(e.toString(), n.key, {iv: CryptoJS.enc.Utf8.parse(t),mode: n.mode,padding: n.pad});return r = r.toString()
}
function h(e, t) {return e ? ("string" != typeof e && (e = e.toString()),l(e, t.iv)) : ""
}
kiv = p(16)
e = '{"cityCode":"","industryCode":"","curPage":16}'
t = {"iv":kiv
}b = h(e,t)
console.log(kiv)
console.log(b)

结果为

现在来到如何解密密文数据了

搜索decrypt(

解密函数就在l函数下面，打上断点

发现传入函数的值就是kiv值和密文数据，用的是AES解密的方法，返回了一个r

在控制台用JSON格式打印r的值

解密代码：

c = function(e, t) {void 0 === e && (e = ""),void 0 === t && (t = "");var n = u(), r = CryptoJS.AES.decrypt(e.toString(), n.key, {iv: CryptoJS.enc.Utf8.parse(t),mode: n.mode,padding: n.pad});return r= r.toString(CryptoJS.enc.Utf8)}

encrypt_data = "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…"data = c(encrypt_data,kiv)
console.log(data)

结果展现：

完整代码：

const CryptoJS = require('crypto-js')p = function (e) {void 0 === e && (e = 16);for (var t = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789".split(""), n = "", r = 0; r < e; r++) {n += t[Math.ceil(61 * Math.random())]}return n
};
u = (s = null,function () {return s || (s = function () {var e, t, n, r, i = null;return i || (t = new RegExp("\\u200c", "g"),n = new RegExp("\\u200d", "g"),r = new RegExp(".{8}", "g"),e = "‍‌‍‍‍‌‌‌‍‍‌‍‍‌‍‍‍‍‌‍‍‌‍‍‍‌‍‌‍‍‍‌‍‌‌‍‍‍‍‌‍‌‌‌‍‌‌‌‍‌‌‍‍‍‌‌‍‌‌‍‌‍‌‌‍‌‍‍‍‌‌‌‍‌‌‍‍‌‌‍‍‌‌‍‍‍‍‌‍‌‍‍‌‌‍‍‍‌‍‍‍‍‌‍‍‍‌‌‌‍‍‌‍‍‌‌‍‌‌‌‍‌‌‌‍‍‌‍".replace(r, (function (e) {return String.fromCharCode(parseInt(e.replace(t, 1).replace(n, 0), 2))})),i = {key: CryptoJS.enc.Utf8.parse(e),mode: CryptoJS.mode.CBC,pad: CryptoJS.pad.Pkcs7}),i}()),s});
l = function (e, t) {void 0 === e && (e = ""),void 0 === t && (t = "");var n = u(), r = CryptoJS.AES.encrypt(e.toString(), n.key, {iv: CryptoJS.enc.Utf8.parse(t),mode: n.mode,padding: n.pad});return r = r.toString()
};function h(e, t) {return e ? ("string" != typeof e && (e = e.toString()),l(e, t.iv)) : ""
}c = function (e, t) {void 0 === e && (e = ""),void 0 === t && (t = "");var n = u(), r = CryptoJS.AES.decrypt(e.toString(), n.key, {iv: CryptoJS.enc.Utf8.parse(t),mode: n.mode,padding: n.pad});return r = r.toString(CryptoJS.enc.Utf8)}
kiv = p(16)
e = '{"cityCode":"","industryCode":"","curPage":16}'
t = {"iv":kiv
}b = h(e,t)
encrypt_data = "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…"
data = c(encrypt_data,kiv)
console.log(data)
console.log(kiv)
console.log(b)