分析步骤:
- 第一步分析是否为混淆JS
判断是否为混淆JS 看调用的堆栈名称是否简洁易懂 下图为非混淆
- 无混淆的情况下
- 关键字(不可以很泛)
- 跟栈 拦截器 response
- JSON parse hook
- decrypt(
本文讲的是非混淆的数据加密 跟栈
网站: 资讯-精灵数据
打开网站 右击检查 or F12 打开开发者模式
将页面滑到最底部 点击下一页 监听我们想要的数据包
此数据包为包含页面的数据
查看加密的位置 请求头 表单 都没有加密 加密的是放回的数据
解密步骤:
- 点击此数据包 点发起程序 可以看到请求调用的堆栈
- 点击进入我们的异步回调对象
3.在前面打个断点 重现点击一页数据 是程序断在我们所断点的位置
作用域可以查看 函数参数 函数内部变量 确定变量作用域范围等
4.点击e这个数组 可以看到我们的response 请求
点击进去查看 是否为我们参数密文所生成的位置
最后在此处找到可能的加密位置 打个断点 让我们的程序停在此处
发现可知 data 为加密的密文 并且是个AES 加密 可以使用第三方库进行解密
接着将JS代码扣到本地JS 文件中
var e = y.a.AES.decrypt(data, z, {
iv: y.a.enc.Utf8.parse(j.substr(0, 16)),
mode: y.a.mode.ECB,
padding: y.a.pad.Pkcs7
});
return JSON.parse(e.toString(y.a.enc.Utf8))
}
引用第三方库crpto-js 需要在node.js 环境中运行 再下载 npm install crpyto-js
将所有的y.a替换为变量名 CryptoJS
运行代码 哪里 is not defiend 就去补全此代码 变量
const CryptoJS = require('crypto-js');
decodeAES = function (data) {
j = "DXZWdxUZ5jgsUFPF"
z = CryptoJS.enc.Utf8.parse(j);
var e = CryptoJS.AES.decrypt(data, z, {
iv: CryptoJS.enc.Utf8.parse(j.substr(0, 16)),
mode: CryptoJS.mode.ECB,
padding: CryptoJS.pad.Pkcs7
});
return JSON.parse(e.toString(CryptoJS.enc.Utf8))
}
再次运行代码发现没有报错 代表成功 接着测试是否成功解密 把data 的值复制下来
const CryptoJS = require('crypto-js');
decodeAES = function (data) {
j = "DXZWdxUZ5jgsUFPF"
z = CryptoJS.enc.Utf8.parse(j);
var e = CryptoJS.AES.decrypt(data, z, {
iv: CryptoJS.enc.Utf8.parse(j.substr(0, 16)),
mode: CryptoJS.mode.ECB,
padding: CryptoJS.pad.Pkcs7
});
return JSON.parse(e.toString(CryptoJS.enc.Utf8))
}
data = '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'
console.log(decodeAES(data))
调用函数 传入参数 解密成功
主要是JS解密的介绍 学习 本期案例分享到此结束 感谢您的观看 您的点赞是我更新的动力 谢谢 !
至于保存数据 在其它的文章我有所介绍 可以参考我之前发布的文章 保存直接想要的数据
标签:enc,加密,Utf8,爬虫,Js,parse,CryptoJS,data From: https://blog.csdn.net/2302_80243887/article/details/144636044