js逆向實戰之某資料平臺響應數解密邏輯

死不悔改奇男子發表於2024-11-23

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解密邏輯

  1. 看觸發的資料包。
    image

  2. data一看就是加密的,全域性搜尋interceptors。在最後一處可以明顯的看到有解密函式。
    image

  3. 打斷點,重新整理介面。
    image

  4. 跟響應資料中一致,找對地方了。關鍵程式碼如下。

    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
    			});
    

    只需搞清楚datazj三個變數的含義即可。

    • data:頁面響應的資料
    • z:對j進行了編碼。
      image
    • j:定值。
  5. 可以編寫js程式碼,嘗試解密一下了。

    y.a其實就是crypto-js庫。

    var CryptoJS = require("crypto-js");
    var j = "DXZWdxUZ5jgsUFPF"
    	  , z = CryptoJS.enc.Utf8.parse(j);
    var data = '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';
    var e = CryptoJS.AES.decrypt(data, z, {
    				iv: CryptoJS.enc.Utf8.parse(j.substr(0, 16)),
    				mode: CryptoJS.mode.ECB,
    				padding: CryptoJS.pad.Pkcs7
    			});
    console.log(JSON.parse(e.toString(CryptoJS.enc.Utf8)));
    

    執行結果如下:
    image
    跟頁面顯示一致。
    image

  6. 編寫python程式碼嘗試獲取前5頁的資料,這裡需要對js程式碼稍微修改一下。
    test.py

    from functools import partial   # 鎖定引數
    import subprocess
    
    subprocess.Popen = partial(subprocess.Popen, encoding="utf-8")
    
    
    import requests
    import execjs
    import time
    
    for i in range(1, 5):
    	url = "https://vapi.jinglingshuju.com/Data/getNewsList"
    	data = {"page": i, "num": 20}
    	headers = {
    		"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 "
    					  "Safari/537.36", "referer": "https://www.kaogujia.com/", "content-type": "application/json",
    		}
    
    	resp = requests.post(url, data=data, headers=headers)
    	data = resp.json()['data']
    	# print(data)
    
    	file = open("test.js", mode="r")
    	exec_js = file.read()
    	exec_code = execjs.compile(exec_js)
    	res = exec_code.call("decrypt", data)
    	print(res)
    	time.sleep(1)
    
    

    test.js

    var CryptoJS = require("crypto-js");
    
    function decrypt(data) {
    	var 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));
    }
    

    執行結果如下
    image
    與頁面顯示一致。
    image

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