CNVD-2019-23825

Vulnerability from cnvd - Published: 2019-07-22
VLAI
Title
CloudBees Jenkins反序列化URL对象绕过漏洞
Description
CloudBees Jenkins是美国CloudBees公司的一套基于Java开发的持续集成工具。 CloudBees Jenkins XStream2.java文件存在反序列化URL对象绕过漏洞,攻击者可以利用漏洞提交特殊的请求,反序列化java.net.URL实例时使Jenkins解析域名。
Severity
Patch Name
CloudBees Jenkins反序列化URL对象绕过漏洞的补丁
Patch Description
CloudBees Jenkins是美国CloudBees公司的一套基于Java开发的持续集成工具。 CloudBees Jenkins XStream2.java文件存在反序列化URL对象绕过漏洞,攻击者可以利用漏洞提交特殊的请求,反序列化java.net.URL实例时使Jenkins解析域名。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: https://jenkins.io/security/advisory/2018-08-15/#SECURITY-1076

Reference
https://jenkins.io/security/advisory/2018-08-15/#SECURITY-1076
Impacted products
Name
['CloudBees Jenkins 2.137', 'CloudBees Jenkins 2.121.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1999042"
    }
  },
  "description": "CloudBees Jenkins\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\u3002\n\nCloudBees Jenkins XStream2.java\u6587\u4ef6\u5b58\u5728\u53cd\u5e8f\u5217\u5316URL\u5bf9\u8c61\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u8bf7\u6c42\uff0c\u53cd\u5e8f\u5217\u5316java.net.URL\u5b9e\u4f8b\u65f6\u4f7fJenkins\u89e3\u6790\u57df\u540d\u3002",
  "discovererName": "Orange Tsai",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://jenkins.io/security/advisory/2018-08-15/#SECURITY-1076",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-23825",
  "openTime": "2019-07-22",
  "patchDescription": "CloudBees Jenkins\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\u3002\r\n\r\nCloudBees Jenkins XStream2.java\u6587\u4ef6\u5b58\u5728\u53cd\u5e8f\u5217\u5316URL\u5bf9\u8c61\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u7684\u8bf7\u6c42\uff0c\u53cd\u5e8f\u5217\u5316java.net.URL\u5b9e\u4f8b\u65f6\u4f7fJenkins\u89e3\u6790\u57df\u540d\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\u53cd\u5e8f\u5217\u5316URL\u5bf9\u8c61\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "CloudBees Jenkins 2.137",
      "CloudBees Jenkins 2.121.2"
    ]
  },
  "referenceLink": "https://jenkins.io/security/advisory/2018-08-15/#SECURITY-1076",
  "serverity": "\u4e2d",
  "submitTime": "2018-08-27",
  "title": "CloudBees Jenkins\u53cd\u5e8f\u5217\u5316URL\u5bf9\u8c61\u7ed5\u8fc7\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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Detection rules are retrieved from Rulezet.

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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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