CNVD-2017-34444

Vulnerability from cnvd - Published: 2017-11-17
VLAI
Title
Microsoft Internet Explorer/Edge内存破坏漏洞
Description
Internet Explorer是微软公司推出的一款网页浏览器。Microsoft Edge是内置于Windows 10版本中的网页浏览器。 Microsoft Internet Explorer/Edge存在内存破坏漏洞,未经身份验证的远程攻击者在目标系统上执行任意代码。
Severity
高
Patch Name
Microsoft Internet Explorer/Edge内存破坏漏洞的补丁
Patch Description
Internet Explorer是微软公司推出的一款网页浏览器。Microsoft Edge是内置于Windows 10版本中的网页浏览器。 Microsoft Internet Explorer/Edge存在内存破坏漏洞,未经身份验证的远程攻击者在目标系统上执行任意代码。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11827

Reference
http://technet.microsoft.com/security/bulletin/November 2017 Security Updates
Impacted products
Name
['Microsoft Internet Explorer 10', 'Microsoft Internet Explorer 11', 'Microsoft Edge 0']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "101703"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-11827"
    }
  },
  "description": "Internet Explorer\u662f\u5fae\u8f6f\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u7f51\u9875\u6d4f\u89c8\u5668\u3002Microsoft Edge\u662f\u5185\u7f6e\u4e8eWindows 10\u7248\u672c\u4e2d\u7684\u7f51\u9875\u6d4f\u89c8\u5668\u3002\r\n\r\nMicrosoft Internet Explorer/Edge\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u8fdc\u7a0b\u653b\u51fb\u8005\u5728\u76ee\u6807\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Cybellum Technologies LTD",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-11827",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-34444",
  "openTime": "2017-11-17",
  "patchDescription": "Internet Explorer\u662f\u5fae\u8f6f\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u6b3e\u7f51\u9875\u6d4f\u89c8\u5668\u3002Microsoft Edge\u662f\u5185\u7f6e\u4e8eWindows 10\u7248\u672c\u4e2d\u7684\u7f51\u9875\u6d4f\u89c8\u5668\u3002\r\n\r\nMicrosoft Internet Explorer/Edge\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\uff0c\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u8fdc\u7a0b\u653b\u51fb\u8005\u5728\u76ee\u6807\u7cfb\u7edf\u4e0a\u6267\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 Internet Explorer/Edge\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Internet Explorer 10",
      "Microsoft Internet Explorer 11",
      "Microsoft Edge 0"
    ]
  },
  "referenceLink": "http://technet.microsoft.com/security/bulletin/November 2017 Security Updates",
  "serverity": "\u9ad8",
  "submitTime": "2017-11-16",
  "title": "Microsoft Internet Explorer/Edge\u5185\u5b58\u7834\u574f\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.
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  • 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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