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CNVD-2019-42833

Vulnerability from cnvd - Published: 2019-11-29
VLAI
Title
CloudBees Jenkins iceScrum Plugin信息泄露漏洞
Description
CloudBees Jenkins(Hudson Labs)是美国CloudBees公司的一套基于Java开发的持续集成工具。该产品主要用于监控持续的软件版本发布/测试项目和一些定时执行的任务。iceScrum Plugin是使用在其中的一个项目管理插件。 CloudBees Jenkins iceScrum Plugin存在信息泄露漏洞,该漏洞源于程序将凭证存储为明文形式。攻击者可利用该漏洞查看凭证。
Severity
Patch Name
CloudBees Jenkins iceScrum Plugin信息泄露漏洞的补丁
Patch Description
CloudBees Jenkins(Hudson Labs)是美国CloudBees公司的一套基于Java开发的持续集成工具。该产品主要用于监控持续的软件版本发布/测试项目和一些定时执行的任务。iceScrum Plugin是使用在其中的一个项目管理插件。 CloudBees Jenkins iceScrum Plugin存在信息泄露漏洞,该漏洞源于程序将凭证存储为明文形式。攻击者可利用该漏洞查看凭证。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://jenkins.io/security/advisory/2019-10-16/#SECURITY-1583

Reference
https://www.zerodayinitiative.com/advisories/ZDI-19-933/
Impacted products
Name
CloudBees CloudBees Jenkins iceScrum Plugin <=1.1.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-10443",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-10443"
    }
  },
  "description": "CloudBees Jenkins\uff08Hudson Labs\uff09\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\u3002\u8be5\u4ea7\u54c1\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u6301\u7eed\u7684\u8f6f\u4ef6\u7248\u672c\u53d1\u5e03/\u6d4b\u8bd5\u9879\u76ee\u548c\u4e00\u4e9b\u5b9a\u65f6\u6267\u884c\u7684\u4efb\u52a1\u3002iceScrum Plugin\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u9879\u76ee\u7ba1\u7406\u63d2\u4ef6\u3002\n\nCloudBees Jenkins iceScrum Plugin\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5c06\u51ed\u8bc1\u5b58\u50a8\u4e3a\u660e\u6587\u5f62\u5f0f\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u51ed\u8bc1\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://jenkins.io/security/advisory/2019-10-16/#SECURITY-1583",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-42833",
  "openTime": "2019-11-29",
  "patchDescription": "CloudBees Jenkins\uff08Hudson Labs\uff09\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\u3002\u8be5\u4ea7\u54c1\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u6301\u7eed\u7684\u8f6f\u4ef6\u7248\u672c\u53d1\u5e03/\u6d4b\u8bd5\u9879\u76ee\u548c\u4e00\u4e9b\u5b9a\u65f6\u6267\u884c\u7684\u4efb\u52a1\u3002iceScrum Plugin\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u9879\u76ee\u7ba1\u7406\u63d2\u4ef6\u3002\r\n\r\nCloudBees Jenkins iceScrum Plugin\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5c06\u51ed\u8bc1\u5b58\u50a8\u4e3a\u660e\u6587\u5f62\u5f0f\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u51ed\u8bc1\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 iceScrum Plugin\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "CloudBees CloudBees Jenkins iceScrum Plugin \u003c=1.1.4"
  },
  "referenceLink": "https://www.zerodayinitiative.com/advisories/ZDI-19-933/",
  "serverity": "\u4e2d",
  "submitTime": "2019-10-23",
  "title": "CloudBees Jenkins iceScrum Plugin\u4fe1\u606f\u6cc4\u9732\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.
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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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