CNVD-2021-13660

Vulnerability from cnvd - Published: 2021-03-01
VLAI
Title
CloudBees Jenkins Configuration Slicing Plugin跨站请求伪造漏洞
Description
Jenkins Configuration Slicing是Jenkins开源的一个应用插件。提供对所选项目属性进行批量配置,包括电子邮件,计时器,废弃旧版本和Maven配置。 Jenkins Configuration Slicing Plugin 1.51及之前版本存在跨站请求伪造漏洞。攻击者可利用该漏洞应用不同的切片配置。
Severity
中
Patch Name
CloudBees Jenkins Configuration Slicing Plugin跨站请求伪造漏洞的补丁
Patch Description
Jenkins Configuration Slicing是Jenkins开源的一个应用插件。提供对所选项目属性进行批量配置,包括电子邮件,计时器,废弃旧版本和Maven配置。 Jenkins Configuration Slicing Plugin 1.51及之前版本存在跨站请求伪造漏洞。攻击者可利用该漏洞应用不同的切片配置。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://www.jenkins.io/security/advisory/2021-02-24/#SECURITY-2003

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-21617
Impacted products
Name
CloudBees Jenkins Configuration Slicing Plugin <=1.51
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-21617",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-21617"
    }
  },
  "description": "Jenkins Configuration Slicing\u662fJenkins\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u63d2\u4ef6\u3002\u63d0\u4f9b\u5bf9\u6240\u9009\u9879\u76ee\u5c5e\u6027\u8fdb\u884c\u6279\u91cf\u914d\u7f6e\uff0c\u5305\u62ec\u7535\u5b50\u90ae\u4ef6\uff0c\u8ba1\u65f6\u5668\uff0c\u5e9f\u5f03\u65e7\u7248\u672c\u548cMaven\u914d\u7f6e\u3002\n\nJenkins Configuration Slicing Plugin 1.51\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5e94\u7528\u4e0d\u540c\u7684\u5207\u7247\u914d\u7f6e\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.jenkins.io/security/advisory/2021-02-24/#SECURITY-2003",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-13660",
  "openTime": "2021-03-01",
  "patchDescription": "Jenkins Configuration Slicing\u662fJenkins\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u63d2\u4ef6\u3002\u63d0\u4f9b\u5bf9\u6240\u9009\u9879\u76ee\u5c5e\u6027\u8fdb\u884c\u6279\u91cf\u914d\u7f6e\uff0c\u5305\u62ec\u7535\u5b50\u90ae\u4ef6\uff0c\u8ba1\u65f6\u5668\uff0c\u5e9f\u5f03\u65e7\u7248\u672c\u548cMaven\u914d\u7f6e\u3002\r\n\r\nJenkins Configuration Slicing Plugin 1.51\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5e94\u7528\u4e0d\u540c\u7684\u5207\u7247\u914d\u7f6e\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 Configuration Slicing Plugin\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "CloudBees Jenkins Configuration Slicing Plugin \u003c=1.51"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-21617",
  "serverity": "\u4e2d",
  "submitTime": "2021-02-26",
  "title": "CloudBees Jenkins Configuration Slicing Plugin\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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

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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.
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  • 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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