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CNVD-2015-04032

Vulnerability from cnvd - Published: 2015-06-26
VLAI
Title
Elasticsearch任意代码执行漏洞
Description
Elasticsearch是一套基于Lucene构建的开源分布式RESTful搜索引擎,它主要用于云计算中,并支持通过HTTP使用JSON进行数据索引。 Elasticsearch存在安全漏洞,允许远程攻击者可利用漏洞提交特殊请求以应用程序上下文中执行任意代码。
Severity
Patch Name
Elasticsearch任意代码执行漏洞的补丁
Patch Description
Elasticsearch是一套基于Lucene构建的开源分布式RESTful搜索引擎,它主要用于云计算中,并支持通过HTTP使用JSON进行数据索引。 Elasticsearch存在安全漏洞,允许远程攻击者可利用漏洞提交特殊请求以应用程序上下文中执行任意代码。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

目前厂商已经发布升级补丁/版本以修复这个安全问题,请用户及时下载更新: https://www.elastic.co/community/security

Reference
http://www.securityfocus.com/bid/75113
Impacted products
Name
ElasticSearch ElasticSearch 1.0.0 -1.5.2
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "75113"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-4165"
    }
  },
  "description": "Elasticsearch\u662f\u4e00\u5957\u57fa\u4e8eLucene\u6784\u5efa\u7684\u5f00\u6e90\u5206\u5e03\u5f0fRESTful\u641c\u7d22\u5f15\u64ce\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u4e91\u8ba1\u7b97\u4e2d\uff0c\u5e76\u652f\u6301\u901a\u8fc7HTTP\u4f7f\u7528JSON\u8fdb\u884c\u6570\u636e\u7d22\u5f15\u3002\r\n\r\nElasticsearch\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\u4ee5\u5e94\u7528\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Kevin Kluge",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u5347\u7ea7\u8865\u4e01/\u7248\u672c\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u7528\u6237\u53ca\u65f6\u4e0b\u8f7d\u66f4\u65b0\uff1a\r\nhttps://www.elastic.co/community/security",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-04032",
  "openTime": "2015-06-26",
  "patchDescription": "Elasticsearch\u662f\u4e00\u5957\u57fa\u4e8eLucene\u6784\u5efa\u7684\u5f00\u6e90\u5206\u5e03\u5f0fRESTful\u641c\u7d22\u5f15\u64ce\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u4e91\u8ba1\u7b97\u4e2d\uff0c\u5e76\u652f\u6301\u901a\u8fc7HTTP\u4f7f\u7528JSON\u8fdb\u884c\u6570\u636e\u7d22\u5f15\u3002\r\n\r\nElasticsearch\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\u4ee5\u5e94\u7528\u7a0b\u5e8f\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Elasticsearch\u4efb\u610f\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "ElasticSearch ElasticSearch 1.0.0 -1.5.2"
  },
  "referenceLink": "http://www.securityfocus.com/bid/75113",
  "serverity": "\u9ad8",
  "submitTime": "2015-06-24",
  "title": "Elasticsearch\u4efb\u610f\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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