CNVD-2015-07827

Vulnerability from cnvd - Published: 2015-11-27
VLAI
Title
CloudBees Jenkins信息泄露漏洞(CNVD-2015-07827)
Description
CloudBees Jenkins是开源的持续集成服务器。 CloudBees Jenkins 1.638、LTS 1.625.2之前版本,Fingerprints页面存在安全漏洞,远程攻击者通过直接请求,可获取敏感的job及build名信息。
Severity
Patch Name
CloudBees Jenkins信息泄露漏洞(CNVD-2015-07827)的补丁
Patch Description
CloudBees Jenkins是开源的持续集成服务器。 CloudBees Jenkins 1.638、LTS 1.625.2之前版本,Fingerprints页面存在安全漏洞,远程攻击者通过直接请求,可获取敏感的job及build名信息。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这个安全问题,请到厂商的主页下载: https://jenkins-ci.org/content/mitigating-unauthenticated-remote-code-execution-0-day-jenkins-cli

Reference
http://www.securityfocus.com/bid/77572 https://wiki.jenkins-ci.org/display/SECURITY/Jenkins+Security+Advisory+2015-11-11
Impacted products
Name
['CloudBees Jenkins <1.638', 'CloudBees LTS <1.625.2']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "77572"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-5317"
    }
  },
  "description": "CloudBees Jenkins\u662f\u5f00\u6e90\u7684\u6301\u7eed\u96c6\u6210\u670d\u52a1\u5668\u3002\r\n\r\nCloudBees Jenkins 1.638\u3001LTS 1.625.2\u4e4b\u524d\u7248\u672c\uff0cFingerprints\u9875\u9762\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7\u76f4\u63a5\u8bf7\u6c42\uff0c\u53ef\u83b7\u53d6\u654f\u611f\u7684job\u53cabuild\u540d\u4fe1\u606f\u3002",
  "discovererName": "Nicolas De Loof",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://jenkins-ci.org/content/mitigating-unauthenticated-remote-code-execution-0-day-jenkins-cli",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07827",
  "openTime": "2015-11-27",
  "patchDescription": "CloudBees Jenkins\u662f\u5f00\u6e90\u7684\u6301\u7eed\u96c6\u6210\u670d\u52a1\u5668\u3002\r\n\r\nCloudBees Jenkins 1.638\u3001LTS 1.625.2\u4e4b\u524d\u7248\u672c\uff0cFingerprints\u9875\u9762\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7\u76f4\u63a5\u8bf7\u6c42\uff0c\u53ef\u83b7\u53d6\u654f\u611f\u7684job\u53cabuild\u540d\u4fe1\u606f\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": "CloudBees Jenkins\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2015-07827\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "CloudBees Jenkins \u003c1.638",
      "CloudBees LTS \u003c1.625.2"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/77572\r\nhttps://wiki.jenkins-ci.org/display/SECURITY/Jenkins+Security+Advisory+2015-11-11",
  "serverity": "\u4e2d",
  "submitTime": "2015-11-26",
  "title": "CloudBees Jenkins\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2015-07827\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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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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