CNVD-2019-10426

Vulnerability from cnvd - Published: 2019-04-18
VLAI
Title
CloudBees Jenkins Chef Sinatra Plugin跨站请求伪造漏洞
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。Chef Sinatra Plugin是使用在其中的一个在Sinatra应用程序为特定包准备好所有已分配节点时自动部署代码的插件。 CloudBees Jenkins Chef Sinatra Plugin中存在跨站请求伪造漏洞,该漏洞源于WEB应用未充分验证请求是否来自可信用户。攻击者可利用该漏洞通过受影响客户端向服务器发送非预期的请求。
Severity
中
Formal description

目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://jenkins.io/

Reference
https://jenkins.io/security/advisory/2019-04-03/#SECURITY-1037
Impacted products
Name
CloudBees Jenkins Chef Sinatra Plugin
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "107790"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-1003086",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-1003086"
    }
  },
  "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\u3002Chef Sinatra Plugin\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u5728Sinatra\u5e94\u7528\u7a0b\u5e8f\u4e3a\u7279\u5b9a\u5305\u51c6\u5907\u597d\u6240\u6709\u5df2\u5206\u914d\u8282\u70b9\u65f6\u81ea\u52a8\u90e8\u7f72\u4ee3\u7801\u7684\u63d2\u4ef6\u3002\n\nCloudBees Jenkins Chef Sinatra Plugin\u4e2d\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u672a\u5145\u5206\u9a8c\u8bc1\u8bf7\u6c42\u662f\u5426\u6765\u81ea\u53ef\u4fe1\u7528\u6237\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u53d7\u5f71\u54cd\u5ba2\u6237\u7aef\u5411\u670d\u52a1\u5668\u53d1\u9001\u975e\u9884\u671f\u7684\u8bf7\u6c42\u3002",
  "discovererName": "Viktor Gazdag",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://jenkins.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-10426",
  "openTime": "2019-04-18",
  "products": {
    "product": "CloudBees Jenkins Chef Sinatra Plugin"
  },
  "referenceLink": "https://jenkins.io/security/advisory/2019-04-03/#SECURITY-1037",
  "serverity": "\u4e2d",
  "submitTime": "2019-04-11",
  "title": "CloudBees Jenkins Chef Sinatra Plugin\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.