CNVD-2017-23940

Vulnerability from cnvd - Published: 2017-08-30
VLAI
Title
Apache OpenMeetings不信任域加载漏洞
Description
Apache OpenMeetings是美国阿帕奇(Apache)软件基金会所研发的一套多语言可定制的视频会议和协作系统,它支持音频、视频并允许用户查看每个与会者的桌面等。 Apache OpenMeetings 1.0.0版本中存在安全漏洞。攻击者可利用该漏洞从不可信的域中加载闪存内容。
Severity
Patch Name
Apache OpenMeetings不信任域加载漏洞的补丁
Patch Description
Apache OpenMeetings是美国阿帕奇(Apache)软件基金会所研发的一套多语言可定制的视频会议和协作系统,它支持音频、视频并允许用户查看每个与会者的桌面等。 Apache OpenMeetings 1.0.0版本中存在安全漏洞。攻击者可利用该漏洞从不可信的域中加载闪存内容。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

目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: http://openmeetings.apache.org/index.html

Reference
http://markmail.org/message/whhibri7ervbjvda
Impacted products
Name
Apache OpenMeetings 1.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7680",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7680"
    }
  },
  "description": "Apache OpenMeetings\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u6240\u7814\u53d1\u7684\u4e00\u5957\u591a\u8bed\u8a00\u53ef\u5b9a\u5236\u7684\u89c6\u9891\u4f1a\u8bae\u548c\u534f\u4f5c\u7cfb\u7edf\uff0c\u5b83\u652f\u6301\u97f3\u9891\u3001\u89c6\u9891\u5e76\u5141\u8bb8\u7528\u6237\u67e5\u770b\u6bcf\u4e2a\u4e0e\u4f1a\u8005\u7684\u684c\u9762\u7b49\u3002\r\n\r\nApache OpenMeetings 1.0.0\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u4e0d\u53ef\u4fe1\u7684\u57df\u4e2d\u52a0\u8f7d\u95ea\u5b58\u5185\u5bb9\u3002",
  "discovererName": "Security Innovation",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttp://openmeetings.apache.org/index.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-23940",
  "openTime": "2017-08-30",
  "patchDescription": "Apache OpenMeetings\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u6240\u7814\u53d1\u7684\u4e00\u5957\u591a\u8bed\u8a00\u53ef\u5b9a\u5236\u7684\u89c6\u9891\u4f1a\u8bae\u548c\u534f\u4f5c\u7cfb\u7edf\uff0c\u5b83\u652f\u6301\u97f3\u9891\u3001\u89c6\u9891\u5e76\u5141\u8bb8\u7528\u6237\u67e5\u770b\u6bcf\u4e2a\u4e0e\u4f1a\u8005\u7684\u684c\u9762\u7b49\u3002\r\n\r\nApache OpenMeetings 1.0.0\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u4e0d\u53ef\u4fe1\u7684\u57df\u4e2d\u52a0\u8f7d\u95ea\u5b58\u5185\u5bb9\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 OpenMeetings\u4e0d\u4fe1\u4efb\u57df\u52a0\u8f7d\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache OpenMeetings 1.0.0"
  },
  "referenceLink": "http://markmail.org/message/whhibri7ervbjvda",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-19",
  "title": "Apache OpenMeetings\u4e0d\u4fe1\u4efb\u57df\u52a0\u8f7d\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.
  • 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.
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  • 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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