CNVD-2016-10934

Vulnerability from cnvd - Published: 2016-11-11
VLAI
Title
Microsoft SQL RDBMS引擎特权提升漏洞
Description
Microsoft SQL Server是美国微软(Microsoft)公司开发和维护的一套应用在Microsoft Windows系统下的大型商业数据库系统。 Microsoft SQL Server 2016版本中存在特权提升漏洞,该漏洞源于程序未能正确执行指针强制转换。攻击者可利用该漏洞访问受影响的SQL Server数据库。
Severity
Patch Name
Microsoft SQL RDBMS引擎特权提升漏洞的补丁
Patch Description
Microsoft SQL Server是美国微软(Microsoft)公司开发和维护的一套应用在Microsoft Windows系统下的大型商业数据库系统。 Microsoft SQL Server 2016版本中存在特权提升漏洞,该漏洞源于程序未能正确执行指针强制转换。攻击者可利用该漏洞访问受影响的SQL Server数据库。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/library/security/MS16-136

Reference
https://technet.microsoft.com/library/security/MS16-136
Impacted products
Name
Microsoft SQL Server 2016
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "94037"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-7249"
    }
  },
  "description": "Microsoft SQL Server\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u5f00\u53d1\u548c\u7ef4\u62a4\u7684\u4e00\u5957\u5e94\u7528\u5728Microsoft Windows\u7cfb\u7edf\u4e0b\u7684\u5927\u578b\u5546\u4e1a\u6570\u636e\u5e93\u7cfb\u7edf\u3002\r\n\r\nMicrosoft SQL Server 2016\u7248\u672c\u4e2d\u5b58\u5728\u7279\u6743\u63d0\u5347\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u6267\u884c\u6307\u9488\u5f3a\u5236\u8f6c\u6362\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u53d7\u5f71\u54cd\u7684SQL Server\u6570\u636e\u5e93\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/library/security/MS16-136",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10934",
  "openTime": "2016-11-11",
  "patchDescription": "Microsoft SQL Server\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u5f00\u53d1\u548c\u7ef4\u62a4\u7684\u4e00\u5957\u5e94\u7528\u5728Microsoft Windows\u7cfb\u7edf\u4e0b\u7684\u5927\u578b\u5546\u4e1a\u6570\u636e\u5e93\u7cfb\u7edf\u3002\r\n\r\nMicrosoft SQL Server 2016\u7248\u672c\u4e2d\u5b58\u5728\u7279\u6743\u63d0\u5347\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u6267\u884c\u6307\u9488\u5f3a\u5236\u8f6c\u6362\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u53d7\u5f71\u54cd\u7684SQL Server\u6570\u636e\u5e93\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 SQL RDBMS\u5f15\u64ce\u7279\u6743\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Microsoft SQL Server 2016"
  },
  "referenceLink": "https://technet.microsoft.com/library/security/MS16-136",
  "serverity": "\u9ad8",
  "submitTime": "2016-11-09",
  "title": "Microsoft SQL RDBMS\u5f15\u64ce\u7279\u6743\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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