全国招标公告公示搜索引擎DES des加密，des加密逆向，解密

仅供参考学习

1、抓包

2、解密

1、抓包

我们打开F12，点击第二页，发现他发送了一个包

在这里看到数据是被加密的

查看initator，发现他使用的是拦截器

我们在全局搜索 interceptors，点击第一个js文件，搜索interceptors

发现了 a.interceptors.response.use(t=>JSON.parse(S(t.data)) || t.data,

这句代码是一个Axios的响应拦截器。在这个拦截器中，它对返回的数据进行了处理。

1、interceptors.response.use：这是Axios提供的用于拦截响应的方法。通过调用该方法，我们可以对从服务器返回的响应进行处理和转换。
2、t => JSON.parse(S(t.data)) || t.data：这是一个箭头函数，用于定义对响应数据的处理逻辑。它接收一个参数t，代表拦截到的响应对象。
该箭头函数的主体部分包含两个操作：
1、JSON.parse(S(t.data))：尝试将响应数据解析为JSON格式。S()可能是一个被省略的自定义函数，用于对响应数据进行进一步处理或转换。解析后的结果将作为拦截器的最终返回值。
2、|| t.data：如果无法解析成JSON格式，则直接返回原始的响应数据t.data。

s()函数就是加密的入口函数

在此处设置断点，并且点击第三页，让断点停在这里

进入S函数，并设置断点

到这里我们就可以看到此函数是个标准的DES加密算法

2、解密

使用python还原

这里的key应该是8位，所以应该把末尾的两位删除

from Crypto.Cipher import DES
from Crypto.Util.Padding import unpad
import base64
import json
import requestst = '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'des = DES.new(key="1qaz@wsx".encode('utf-8'), mode=DES.MODE_ECB)
r = des.decrypt(base64.b64decode(t))
r = unpad(r, 8).decode('utf-8')
resp = json.loads(r)
print(resp)

出现中文则证明逆向成功

全国招标公告公示搜索引擎DES des加密，des加密逆向，解密相关推荐

爬虫某全国律师执业诚信信息公示平台 DES加密+中文字体反爬
某全国律师执业诚信信息公示平台 DES加密+中文字体反爬目标网站:aHR0cHM6Ly9jcmVkaXQuYWNsYS5vcmcuY24v 无限debugger DES加密中文字体反爬目标网站: ...
java加密 des
DES-Data Encryption Standard,即数据加密算法.是IBM公司于1975年研究成功并公开发表的.DES算法的入口参数有三个:Key.Data.Mode.其中Key为8个字节共6 ...
.net实现md5加密 sha1加密 sha256加密 sha384加密 sha512加密 des加密解密
写项目时,后台一直用md5加密,一天群里人问,除了MD5还有其它的加密方法吗?当时只知道还有个SHA,但怎么实现什么的都不清楚,于是当网上找了下,把几种常见的加密方法都整理了下,用winform写了个 ...
对称加密DES和TripleDES
原文地址: http://www.cnblogs.com/chnking/archive/2007/08/14/855600.html 一. 对称加密对称加密,是一种比较传统的加密方式,其加密运算 ...
第十六届全国大学生智能汽车竞赛（西部赛区）竞速组成绩及获奖情况公示
第十六届全国大学生智能汽车竞赛(西部赛区) 竞速组成绩及获奖情况公示 §01 成绩与奖项第十六届全国大学生智能汽车竞赛(西部赛区)比赛于2021年7月26日-29日在重庆大学举行.现将竞速组竞赛成绩 ...
【计算机网络】网络安全 : 对称密钥密码体质 ( 数据加密标准 DES | DES 加密过程 | DES 保密性 | 三重 DES 加密 )
文章目录一. 对称密钥密码体质二. 数据加密标准 DES 三. DES 加密过程四. DES 保密性五. 三重 DES 加密一. 对称密钥密码体质对称密钥密码体质 : 又称为常规密钥密码 ...
对称加密-DES加密
示例代码 des加密算法 Cipher :文档 https://docs.oracle.com/javase/8/docs/api/javax/crypto/Cipher.html#getInstan ...
[转载]对称加密DES和TripleDES
一. 对称加密对称加密,是一种比较传统的加密方式,其加密运算.解密运算使用的是同样的密钥,信息的发送者和信息的接收者在进行信息的传输与处理时,必须共同持有该密码(称为对称密码).因此,通信双方都必 ...
C# 中用DES 对称Key,IV 加密，前端crypto.js 解密
1.服务器端代码 #region ========加密======== /// <summary> /// 加密 /// </summary> /// <param na ...

全国招标公告公示搜索引擎DES des加密，des加密逆向，解密

1、抓包

2、解密

全国招标公告公示搜索引擎DES des加密，des加密逆向，解密相关推荐

最新文章

热门文章