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CNVD-2016-08940

Vulnerability from cnvd - Published: 2016-10-14
VLAI
Title
Microsoft Windows Video Control远程代码执行漏洞
Description
Microsoft Windows是美国微软(Microsoft)公司发布的一系列操作系统。 当微软Video Control未能能正确处理内存中的对象时,存在远程代码执行漏洞。成功利用此漏洞的攻击者可以在当前用户的上下文中运行任意代码。
Severity
Patch Name
Microsoft Windows Video Control远程代码执行漏洞的补丁
Patch Description
Microsoft Windows是美国微软(Microsoft)公司发布的一系列操作系统。 当微软Video Control未能能正确处理内存中的对象时,存在远程代码执行漏洞。成功利用此漏洞的攻击者可以在当前用户的上下文中运行任意代码。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

户可参考如下供应商提供的安全公告获得补丁信息: http://technet.microsoft.com/security/bulletin/MS16-122

Reference
http://technet.microsoft.com/security/bulletin/MS16-122
Impacted products
Name
['Microsoft Windows 7 SP1', 'Microsoft Windows Vista sp2', 'Microsoft Windows 8.1', 'Microsoft Windows 10 Gold', 'Microsoft Windows 10 1511', 'Microsoft Windows 10 1607']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "93378"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-0142"
    }
  },
  "description": "Microsoft Windows\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u53d1\u5e03\u7684\u4e00\u7cfb\u5217\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\n\u5f53\u5fae\u8f6fVideo Control\u672a\u80fd\u80fd\u6b63\u786e\u5904\u7406\u5185\u5b58\u4e2d\u7684\u5bf9\u8c61\u65f6\uff0c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u6210\u529f\u5229\u7528\u6b64\u6f0f\u6d1e\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u5f53\u524d\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u8fd0\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Microsoft",
  "formalWay": "\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://technet.microsoft.com/security/bulletin/MS16-122",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-08940",
  "openTime": "2016-10-14",
  "patchDescription": "Microsoft Windows\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u53d1\u5e03\u7684\u4e00\u7cfb\u5217\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\n\u5f53\u5fae\u8f6fVideo Control\u672a\u80fd\u80fd\u6b63\u786e\u5904\u7406\u5185\u5b58\u4e2d\u7684\u5bf9\u8c61\u65f6\uff0c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u6210\u529f\u5229\u7528\u6b64\u6f0f\u6d1e\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u5f53\u524d\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u8fd0\u884c\u4efb\u610f\u4ee3\u7801\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": "Microsoft Windows Video Control\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Windows 7 SP1",
      "Microsoft Windows Vista sp2",
      "Microsoft Windows 8.1",
      "Microsoft Windows 10 Gold",
      "Microsoft Windows 10  1511",
      "Microsoft Windows 10 1607"
    ]
  },
  "referenceLink": "http://technet.microsoft.com/security/bulletin/MS16-122",
  "serverity": "\u9ad8",
  "submitTime": "2016-10-14",
  "title": "Microsoft Windows Video Control\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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.
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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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