CNVD-2021-13672

Vulnerability from cnvd - Published: 2021-03-01
VLAI
Title
CloudBees Jenkins TOCTOU竞争条件漏洞
Description
Jenkins是一个用Java编写的开源持续集成工具,主要用于持续、自动的构建/测试软件项目、监控外部任务的运行。 Jenkins 2.275、LTS 2.263.2存在TOCTOU竞争条件漏洞。攻击者可通过工作区和已归档工件浏览器利用该漏洞读取任意文件。
Severity
低
Patch Name
CloudBees Jenkins TOCTOU竞争条件漏洞的补丁
Patch Description
Jenkins是一个用Java编写的开源持续集成工具,主要用于持续、自动的构建/测试软件项目、监控外部任务的运行。 Jenkins 2.275、LTS 2.263.2存在TOCTOU竞争条件漏洞。攻击者可通过工作区和已归档工件浏览器利用该漏洞读取任意文件。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

厂商已发布了漏洞修复程序,请及时关注更新:https://www.jenkins.io/security/advisory/2021-01-26/#SECURITY-2197

Reference
http://www.openwall.com/lists/oss-security/2021/01/26/2
Impacted products
Name
['CloudBees Jenkins 2.275', 'CloudBees Jenkins LTS 2.263.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-21615",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-21615"
    }
  },
  "description": "Jenkins\u662f\u4e00\u4e2a\u7528Java\u7f16\u5199\u7684\u5f00\u6e90\u6301\u7eed\u96c6\u6210\u5de5\u5177\uff0c\u4e3b\u8981\u7528\u4e8e\u6301\u7eed\u3001\u81ea\u52a8\u7684\u6784\u5efa/\u6d4b\u8bd5\u8f6f\u4ef6\u9879\u76ee\u3001\u76d1\u63a7\u5916\u90e8\u4efb\u52a1\u7684\u8fd0\u884c\u3002\n\nJenkins 2.275\u3001LTS 2.263.2\u5b58\u5728TOCTOU\u7ade\u4e89\u6761\u4ef6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5de5\u4f5c\u533a\u548c\u5df2\u5f52\u6863\u5de5\u4ef6\u6d4f\u89c8\u5668\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u4efb\u610f\u6587\u4ef6\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1ahttps://www.jenkins.io/security/advisory/2021-01-26/#SECURITY-2197",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-13672",
  "openTime": "2021-03-01",
  "patchDescription": "Jenkins\u662f\u4e00\u4e2a\u7528Java\u7f16\u5199\u7684\u5f00\u6e90\u6301\u7eed\u96c6\u6210\u5de5\u5177\uff0c\u4e3b\u8981\u7528\u4e8e\u6301\u7eed\u3001\u81ea\u52a8\u7684\u6784\u5efa/\u6d4b\u8bd5\u8f6f\u4ef6\u9879\u76ee\u3001\u76d1\u63a7\u5916\u90e8\u4efb\u52a1\u7684\u8fd0\u884c\u3002\r\n\r\nJenkins 2.275\u3001LTS 2.263.2\u5b58\u5728TOCTOU\u7ade\u4e89\u6761\u4ef6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5de5\u4f5c\u533a\u548c\u5df2\u5f52\u6863\u5de5\u4ef6\u6d4f\u89c8\u5668\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u4efb\u610f\u6587\u4ef6\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 TOCTOU\u7ade\u4e89\u6761\u4ef6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "CloudBees Jenkins 2.275",
      "CloudBees Jenkins LTS 2.263.2"
    ]
  },
  "referenceLink": "http://www.openwall.com/lists/oss-security/2021/01/26/2",
  "serverity": "\u4f4e",
  "submitTime": "2021-01-27",
  "title": "CloudBees Jenkins TOCTOU\u7ade\u4e89\u6761\u4ef6\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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