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CNVD-2015-05626

Vulnerability from cnvd - Published: 2015-08-27
VLAI
Title
Elasticsearch Logstash安全绕过漏洞(CNVD-2015-05626)
Description
Elasticsearch Logstash是荷兰Elasticsearch公司的一套日志分析和监控工具。该工具提供日志或事件的搜索、处理和管理等功能。 Elasticsearch Logstash中存在安全绕过漏洞。攻击者可通过实施中间人攻击利用该漏洞执行未授权操作。
Severity
Patch Name
Elasticsearch Logstash安全绕过漏洞(CNVD-2015-05626)的补丁
Patch Description
Elasticsearch Logstash是荷兰Elasticsearch公司的一套日志分析和监控工具。该工具提供日志或事件的搜索、处理和管理等功能。Elasticsearch Logstash中存在安全绕过漏洞。攻击者可通过实施中间人攻击利用该漏洞执行未授权操作。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

目前厂商已经发布了升级补丁以修复此安全问题,详情请关注厂商主页: https://www.elastic.co/products/logstash

Reference
http://www.securityfocus.com/bid/76455
Impacted products
Name
ElasticSearch Logstash
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "76455"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-5619"
    }
  },
  "description": "Elasticsearch Logstash\u662f\u8377\u5170Elasticsearch\u516c\u53f8\u7684\u4e00\u5957\u65e5\u5fd7\u5206\u6790\u548c\u76d1\u63a7\u5de5\u5177\u3002\u8be5\u5de5\u5177\u63d0\u4f9b\u65e5\u5fd7\u6216\u4e8b\u4ef6\u7684\u641c\u7d22\u3001\u5904\u7406\u548c\u7ba1\u7406\u7b49\u529f\u80fd\u3002\r\n\r\nElasticsearch Logstash\u4e2d\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\u3002",
  "discovererName": "Markus Frosch",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://www.elastic.co/products/logstash",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-05626",
  "openTime": "2015-08-27",
  "patchDescription": "Elasticsearch Logstash\u662f\u8377\u5170Elasticsearch\u516c\u53f8\u7684\u4e00\u5957\u65e5\u5fd7\u5206\u6790\u548c\u76d1\u63a7\u5de5\u5177\u3002\u8be5\u5de5\u5177\u63d0\u4f9b\u65e5\u5fd7\u6216\u4e8b\u4ef6\u7684\u641c\u7d22\u3001\u5904\u7406\u548c\u7ba1\u7406\u7b49\u529f\u80fd\u3002Elasticsearch Logstash\u4e2d\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\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 Logstash\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2015-05626\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "ElasticSearch Logstash"
  },
  "referenceLink": "http://www.securityfocus.com/bid/76455",
  "serverity": "\u4e2d",
  "submitTime": "2015-08-25",
  "title": "Elasticsearch Logstash\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff08CNVD-2015-05626\uff09"
}



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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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Detection rules are retrieved from Rulezet.

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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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