CNVD-2021-94959

Vulnerability from cnvd - Published: 2021-12-07
VLAI
Title
Microsoft Azure Sphere数据伪造问题漏洞
Description
Microsoft Azure Sphere是美国微软(Microsoft)公司的一个应用于云环境提供安全防护的设备。 Microsoft Azure Sphere存在数据伪造问题漏洞。该漏洞源于网络系统或产品未充分验证数据的来源或真实性。攻击者可利用伪造的数据进行攻击。
Severity
中
Patch Name
Microsoft Azure Sphere数据伪造问题漏洞的补丁
Patch Description
Microsoft Azure Sphere是美国微软(Microsoft)公司的一个应用于云环境提供安全防护的设备。 Microsoft Azure Sphere存在数据伪造问题漏洞。该漏洞源于网络系统或产品未充分验证数据的来源或真实性。攻击者可利用伪造的数据进行攻击。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

厂商已发布了漏洞修复程序,请及时关注更新: https://msrc.microsoft.com/update-guide/en-US/vulnerability/CVE-2021-42300

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-42300
Impacted products
Name
Microsoft Azure Sphere <21.10
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-42300",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-42300"
    }
  },
  "description": "Microsoft Azure Sphere\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u4e8e\u4e91\u73af\u5883\u63d0\u4f9b\u5b89\u5168\u9632\u62a4\u7684\u8bbe\u5907\u3002\n\nMicrosoft Azure Sphere\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5145\u5206\u9a8c\u8bc1\u6570\u636e\u7684\u6765\u6e90\u6216\u771f\u5b9e\u6027\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u4f2a\u9020\u7684\u6570\u636e\u8fdb\u884c\u653b\u51fb\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://msrc.microsoft.com/update-guide/en-US/vulnerability/CVE-2021-42300",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-94959",
  "openTime": "2021-12-07",
  "patchDescription": "Microsoft Azure Sphere\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u4e8e\u4e91\u73af\u5883\u63d0\u4f9b\u5b89\u5168\u9632\u62a4\u7684\u8bbe\u5907\u3002\r\n\r\nMicrosoft Azure Sphere\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5145\u5206\u9a8c\u8bc1\u6570\u636e\u7684\u6765\u6e90\u6216\u771f\u5b9e\u6027\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u4f2a\u9020\u7684\u6570\u636e\u8fdb\u884c\u653b\u51fb\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 Azure Sphere\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Microsoft Azure Sphere \u003c21.10"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-42300",
  "serverity": "\u4e2d",
  "submitTime": "2021-11-10",
  "title": "Microsoft Azure Sphere\u6570\u636e\u4f2a\u9020\u95ee\u9898\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.
  • 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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