CNVD-2020-61034

Vulnerability from cnvd - Published: 2020-11-08
VLAI
Title
Microsoft Outlook拒绝服务漏洞(CNVD-2020-61034)
Description
Microsoft Outlook是美国微软(Microsoft)公司的一套电子邮件应用程序。 Microsoft Outlook 存在安全漏洞,攻击者可利用该漏洞导致系统远程拒绝服务。
Severity
Patch Name
Microsoft Outlook拒绝服务漏洞(CNVD-2020-61034)的补丁
Patch Description
Microsoft Outlook是美国微软(Microsoft)公司的一套电子邮件应用程序。 Microsoft Outlook 存在安全漏洞,攻击者可利用该漏洞导致系统远程拒绝服务。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/releasenotedetail/2020-oct

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-16949
Impacted products
Name
['Microsoft Outlook 2010 SP2', 'Microsoft Outlook 2013 SP1', 'Microsoft Outlook 2013 RT SP1', 'Microsoft outlook 2016', 'Microsoft Office 2019', 'Microsoft 365 Apps']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-16949",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-16949"
    }
  },
  "description": "Microsoft Outlook\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u5957\u7535\u5b50\u90ae\u4ef6\u5e94\u7528\u7a0b\u5e8f\u3002\n\nMicrosoft Outlook \u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7cfb\u7edf\u8fdc\u7a0b\u62d2\u7edd\u670d\u52a1\u3002",
  "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/releasenotedetail/2020-oct",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-61034",
  "openTime": "2020-11-08",
  "patchDescription": "Microsoft Outlook\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u5957\u7535\u5b50\u90ae\u4ef6\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMicrosoft Outlook \u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7cfb\u7edf\u8fdc\u7a0b\u62d2\u7edd\u670d\u52a1\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 Outlook\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2020-61034\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Outlook 2010  SP2",
      "Microsoft Outlook 2013 SP1",
      "Microsoft Outlook 2013 RT SP1",
      "Microsoft outlook 2016",
      "Microsoft Office 2019",
      "Microsoft 365 Apps"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-16949",
  "serverity": "\u4e2d",
  "submitTime": "2020-11-02",
  "title": "Microsoft Outlook\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2020-61034\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…