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CNVD-2017-01339

Vulnerability from cnvd - Published: 2017-02-14
VLAI
Title
DotNetNuke安全绕过漏洞
Description
DotNetNuke(DNN)是美国DNN公司的一套由微软支持、基于ASP.NET平台的开源内容管理系统(CMS)。 DNN7.4.1之前的版本中的installationwizard存在安全漏洞。远程攻击者可通过向Install/InstallWizard.aspx文件发送直接请求利用该漏洞重新安装应用程序,并获取SuperUser访问权限。
Severity
Patch Name
DotNetNuke安全绕过漏洞的补丁
Patch Description
DotNetNuke(DNN)是美国DNN公司的一套由微软支持、基于ASP.NET平台的开源内容管理系统(CMS)。 DNN7.4.1之前的版本中的installationwizard存在安全漏洞。远程攻击者可通过向Install/InstallWizard.aspx文件发送直接请求利用该漏洞重新安装应用程序,并获取SuperUser访问权限。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://dotnetnuke.codeplex.com/releases/view/615317

Reference
https://dotnetnuke.codeplex.com/releases/view/615317
Impacted products
Name
DotNetNuke Dotnetnuke <7.4.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-2794"
    }
  },
  "description": "DotNetNuke\uff08DNN\uff09\u662f\u7f8e\u56fdDNN\u516c\u53f8\u7684\u4e00\u5957\u7531\u5fae\u8f6f\u652f\u6301\u3001\u57fa\u4e8eASP.NET\u5e73\u53f0\u7684\u5f00\u6e90\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\r\n\r\nDNN7.4.1\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684installationwizard\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411Install/InstallWizard.aspx\u6587\u4ef6\u53d1\u9001\u76f4\u63a5\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u91cd\u65b0\u5b89\u88c5\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u83b7\u53d6SuperUser\u8bbf\u95ee\u6743\u9650\u3002",
  "discovererName": "Marios Nicolaides",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://dotnetnuke.codeplex.com/releases/view/615317",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-01339",
  "openTime": "2017-02-14",
  "patchDescription": "DotNetNuke\uff08DNN\uff09\u662f\u7f8e\u56fdDNN\u516c\u53f8\u7684\u4e00\u5957\u7531\u5fae\u8f6f\u652f\u6301\u3001\u57fa\u4e8eASP.NET\u5e73\u53f0\u7684\u5f00\u6e90\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\r\n\r\nDNN7.4.1\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684installationwizard\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411Install/InstallWizard.aspx\u6587\u4ef6\u53d1\u9001\u76f4\u63a5\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u91cd\u65b0\u5b89\u88c5\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u83b7\u53d6SuperUser\u8bbf\u95ee\u6743\u9650\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": "DotNetNuke\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "DotNetNuke Dotnetnuke \u003c7.4.1"
  },
  "referenceLink": "https://dotnetnuke.codeplex.com/releases/view/615317",
  "serverity": "\u9ad8",
  "submitTime": "2017-02-09",
  "title": "DotNetNuke\u5b89\u5168\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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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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