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CNVD-2017-00429

Vulnerability from cnvd - Published: 2017-01-13
VLAI
Title
Microsoft Edge远程权限提升漏洞
Description
Microsoft Edge是内置于Windows 10版本中的网页浏览器。 Microsoft Edge在about:blank空白页跨域策略实现中存在特权提升漏洞,允许攻击者访问某个域中信息并将其插入其他域。成功利用此漏洞的攻击者可以在受影响的Microsoft Edge版本中提升特权。
Severity
Patch Name
Microsoft Edge远程权限提升漏洞的补丁
Patch Description
Microsoft Edge是内置于Windows 10版本中的网页浏览器。 Microsoft Edge在about:blank空白页跨域策略实现中存在特权提升漏洞,允许攻击者访问某个域中信息并将其插入其他域。成功利用此漏洞的攻击者可以在受影响的Microsoft Edge版本中提升特权。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

用户可参考如下供应商提供的安全公告获得补丁信息: https://technet.microsoft.com/zh-cn/library/security/ms17-001.aspx

Reference
https://technet.microsoft.com/zh-cn/library/security/ms17-001.aspx
Impacted products
Name
Microsoft Edge 0
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "95284"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-0002"
    }
  },
  "description": "Microsoft Edge\u662f\u5185\u7f6e\u4e8eWindows 10\u7248\u672c\u4e2d\u7684\u7f51\u9875\u6d4f\u89c8\u5668\u3002\r\n\r\nMicrosoft Edge\u5728about:blank\u7a7a\u767d\u9875\u8de8\u57df\u7b56\u7565\u5b9e\u73b0\u4e2d\u5b58\u5728\u7279\u6743\u63d0\u5347\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u8bbf\u95ee\u67d0\u4e2a\u57df\u4e2d\u4fe1\u606f\u5e76\u5c06\u5176\u63d2\u5165\u5176\u4ed6\u57df\u3002\u6210\u529f\u5229\u7528\u6b64\u6f0f\u6d1e\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u53d7\u5f71\u54cd\u7684Microsoft Edge\u7248\u672c\u4e2d\u63d0\u5347\u7279\u6743\u3002",
  "discovererName": "Microsoft",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://technet.microsoft.com/zh-cn/library/security/ms17-001.aspx",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-00429",
  "openTime": "2017-01-13",
  "patchDescription": "Microsoft Edge\u662f\u5185\u7f6e\u4e8eWindows 10\u7248\u672c\u4e2d\u7684\u7f51\u9875\u6d4f\u89c8\u5668\u3002\r\n\r\nMicrosoft Edge\u5728about:blank\u7a7a\u767d\u9875\u8de8\u57df\u7b56\u7565\u5b9e\u73b0\u4e2d\u5b58\u5728\u7279\u6743\u63d0\u5347\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u8bbf\u95ee\u67d0\u4e2a\u57df\u4e2d\u4fe1\u606f\u5e76\u5c06\u5176\u63d2\u5165\u5176\u4ed6\u57df\u3002\u6210\u529f\u5229\u7528\u6b64\u6f0f\u6d1e\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5728\u53d7\u5f71\u54cd\u7684Microsoft Edge\u7248\u672c\u4e2d\u63d0\u5347\u7279\u6743\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 Edge\u8fdc\u7a0b\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Microsoft Edge 0"
  },
  "referenceLink": "https://technet.microsoft.com/zh-cn/library/security/ms17-001.aspx",
  "serverity": "\u4e2d",
  "submitTime": "2017-01-11",
  "title": "Microsoft Edge\u8fdc\u7a0b\u6743\u9650\u63d0\u5347\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.
  • 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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