CNVD-2017-05724

Vulnerability from cnvd - Published: 2017-05-02
VLAI
Title
Microsoft Windows拒绝服务漏洞(CNVD-2017-05724)
Description
Microsoft Windows是流行的计算机操作系统。 Microsoft Windows未正确处理内存对象,在实现上存在拒绝服务漏洞,攻击者可利用漏洞造成目标系统停止响应。
Severity
低
Patch Name
Microsoft Windows拒绝服务漏洞(CNVD-2017-05724)的补丁
Patch Description
Microsoft Windows是流行的计算机操作系统。 Microsoft Windows未正确处理内存对象,在实现上存在拒绝服务漏洞,攻击者可利用漏洞造成目标系统停止响应。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-0191

Reference
https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-0191
Impacted products
Name
['Microsoft Windows Server 2008 R2', 'Microsoft Windows 7', 'Microsoft Windows Windows Server 2012', 'Microsoft Windows 8.1', 'Microsoft Windows Server 2012 R2', 'Microsoft Windows 10', 'Microsoft Windows Server 2016']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "97466"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-0191"
    }
  },
  "description": "Microsoft Windows\u662f\u6d41\u884c\u7684\u8ba1\u7b97\u673a\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nMicrosoft Windows\u672a\u6b63\u786e\u5904\u7406\u5185\u5b58\u5bf9\u8c61\uff0c\u5728\u5b9e\u73b0\u4e0a\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u9020\u6210\u76ee\u6807\u7cfb\u7edf\u505c\u6b62\u54cd\u5e94\u3002",
  "discovererName": "Vishal Chauhan",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-0191",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-05724",
  "openTime": "2017-05-02",
  "patchDescription": "Microsoft Windows\u662f\u6d41\u884c\u7684\u8ba1\u7b97\u673a\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nMicrosoft Windows\u672a\u6b63\u786e\u5904\u7406\u5185\u5b58\u5bf9\u8c61\uff0c\u5728\u5b9e\u73b0\u4e0a\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u9020\u6210\u76ee\u6807\u7cfb\u7edf\u505c\u6b62\u54cd\u5e94\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\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-05724\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Windows Server 2008 R2",
      "Microsoft Windows 7",
      "Microsoft Windows Windows Server 2012",
      "Microsoft Windows 8.1",
      "Microsoft Windows Server 2012 R2",
      "Microsoft Windows 10",
      "Microsoft Windows Server 2016"
    ]
  },
  "referenceLink": "https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2017-0191",
  "serverity": "\u4f4e",
  "submitTime": "2017-04-14",
  "title": "Microsoft Windows\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-05724\uff09"
}



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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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