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CNVD-2016-01500

Vulnerability from cnvd - Published: 2016-03-09
VLAI
Title
Apache Jetspeed用户管理REST API未授权访问漏洞
Description
Jetspeed是基于Java和XML的开源的企业信息门户的实现。Jetspeed可集成各种数据源,通过XSL技术将数据组织成Jsp页面或Html页面传给客户端;Jetspeed还支持模板和内容的发布框架。 Apache Jetspeed用户管理REST API存在未授权访问漏洞,攻击者利用漏洞可通过调用REST API来管理系统用户,包括创建、编辑、删除、提升权限等操作。
Severity
Patch Name
Apache Jetspeed用户管理REST API未授权访问漏洞的补丁
Patch Description
Jetspeed是基于Java和XML的开源的企业信息门户的实现。Jetspeed可集成各种数据源,通过XSL技术将数据组织成Jsp页面或Html页面传给客户端;Jetspeed还支持模板和内容的发布框架。 Apache Jetspeed用户管理REST API存在未授权访问漏洞,攻击者利用漏洞可通过调用REST API来管理系统用户,包括创建、编辑、删除、提升权限等操作。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

厂商已发布了新版本修复该漏洞,请升级至2.3.1:版本进行修复: http://tomcat.apache.org/security.html

Reference
https://portals.apache.org/jetspeed-2/security-reports.html#CVE-2016-0710
Impacted products
Name
Apache Apache Jetspeed <2.3.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0710"
    }
  },
  "description": "Jetspeed\u662f\u57fa\u4e8eJava\u548cXML\u7684\u5f00\u6e90\u7684\u4f01\u4e1a\u4fe1\u606f\u95e8\u6237\u7684\u5b9e\u73b0\u3002Jetspeed\u53ef\u96c6\u6210\u5404\u79cd\u6570\u636e\u6e90\uff0c\u901a\u8fc7XSL\u6280\u672f\u5c06\u6570\u636e\u7ec4\u7ec7\u6210Jsp\u9875\u9762\u6216Html\u9875\u9762\u4f20\u7ed9\u5ba2\u6237\u7aef\uff1bJetspeed\u8fd8\u652f\u6301\u6a21\u677f\u548c\u5185\u5bb9\u7684\u53d1\u5e03\u6846\u67b6\u3002\r\n\r\nApache Jetspeed\u7528\u6237\u7ba1\u7406REST API\u5b58\u5728\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u53ef\u901a\u8fc7\u8c03\u7528REST API\u6765\u7ba1\u7406\u7cfb\u7edf\u7528\u6237,\u5305\u62ec\u521b\u5efa\u3001\u7f16\u8f91\u3001\u5220\u9664\u3001\u63d0\u5347\u6743\u9650\u7b49\u64cd\u4f5c\u3002",
  "discovererName": "\ufeffAndreas Lindh",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u65b0\u7248\u672c\u4fee\u590d\u8be5\u6f0f\u6d1e\uff0c\u8bf7\u5347\u7ea7\u81f32.3.1:\u7248\u672c\u8fdb\u884c\u4fee\u590d\uff1a\r\nhttp://tomcat.apache.org/security.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-01500",
  "openTime": "2016-03-09",
  "patchDescription": "Jetspeed\u662f\u57fa\u4e8eJava\u548cXML\u7684\u5f00\u6e90\u7684\u4f01\u4e1a\u4fe1\u606f\u95e8\u6237\u7684\u5b9e\u73b0\u3002Jetspeed\u53ef\u96c6\u6210\u5404\u79cd\u6570\u636e\u6e90\uff0c\u901a\u8fc7XSL\u6280\u672f\u5c06\u6570\u636e\u7ec4\u7ec7\u6210Jsp\u9875\u9762\u6216Html\u9875\u9762\u4f20\u7ed9\u5ba2\u6237\u7aef\uff1bJetspeed\u8fd8\u652f\u6301\u6a21\u677f\u548c\u5185\u5bb9\u7684\u53d1\u5e03\u6846\u67b6\u3002\r\n\r\nApache Jetspeed\u7528\u6237\u7ba1\u7406REST API\u5b58\u5728\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u53ef\u901a\u8fc7\u8c03\u7528REST API\u6765\u7ba1\u7406\u7cfb\u7edf\u7528\u6237,\u5305\u62ec\u521b\u5efa\u3001\u7f16\u8f91\u3001\u5220\u9664\u3001\u63d0\u5347\u6743\u9650\u7b49\u64cd\u4f5c\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": "Apache Jetspeed\u7528\u6237\u7ba1\u7406REST API\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Apache Jetspeed \u003c2.3.0"
  },
  "referenceLink": "https://portals.apache.org/jetspeed-2/security-reports.html#CVE-2016-0710",
  "serverity": "\u9ad8",
  "submitTime": "2016-03-09",
  "title": "Apache Jetspeed\u7528\u6237\u7ba1\u7406REST API\u672a\u6388\u6743\u8bbf\u95ee\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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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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