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CNVD-2024-42935

Vulnerability from cnvd - Published: 2024-11-04
VLAI
Title
Mitel MiCollab输入验证错误漏洞
Description
Mitel MiCollab是加拿大敏迪(Mitel)公司的一款为员工提供语音、视频、消息、音频会议和团队协作的移动应用程序。 Mitel MiColla存在输入验证错误漏洞,攻击者可利用该漏洞在用户的上下文中对系统执行任意命令。
Severity
Patch Name
Mitel MiCollab输入验证错误漏洞的补丁
Patch Description
Mitel MiCollab是加拿大敏迪(Mitel)公司的一款为员工提供语音、视频、消息、音频会议和团队协作的移动应用程序。 Mitel MiColla存在输入验证错误漏洞,攻击者可利用该漏洞在用户的上下文中对系统执行任意命令。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://www.mitel.com/support/security-advisories/mitel-product-security-advisory-24-0022

Reference
https://www.mitel.com/support/security-advisories/mitel-product-security-advisory-24-0022
Impacted products
Name
Mitel MiCollab 9.8.1.5
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-41712",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-41712"
    }
  },
  "description": "Mitel MiCollab\u662f\u52a0\u62ff\u5927\u654f\u8fea\uff08Mitel\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u5458\u5de5\u63d0\u4f9b\u8bed\u97f3\u3001\u89c6\u9891\u3001\u6d88\u606f\u3001\u97f3\u9891\u4f1a\u8bae\u548c\u56e2\u961f\u534f\u4f5c\u7684\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\u3002\n\nMitel MiColla\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u5bf9\u7cfb\u7edf\u6267\u884c\u4efb\u610f\u547d\u4ee4\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://www.mitel.com/support/security-advisories/mitel-product-security-advisory-24-0022",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-42935",
  "openTime": "2024-11-04",
  "patchDescription": "Mitel MiCollab\u662f\u52a0\u62ff\u5927\u654f\u8fea\uff08Mitel\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u4e3a\u5458\u5de5\u63d0\u4f9b\u8bed\u97f3\u3001\u89c6\u9891\u3001\u6d88\u606f\u3001\u97f3\u9891\u4f1a\u8bae\u548c\u56e2\u961f\u534f\u4f5c\u7684\u79fb\u52a8\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nMitel MiColla\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u5bf9\u7cfb\u7edf\u6267\u884c\u4efb\u610f\u547d\u4ee4\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": "Mitel MiCollab\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Mitel MiCollab 9.8.1.5"
  },
  "referenceLink": "https://www.mitel.com/support/security-advisories/mitel-product-security-advisory-24-0022",
  "serverity": "\u4e2d",
  "submitTime": "2024-10-28",
  "title": "Mitel MiCollab\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\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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Detection rules are retrieved from Rulezet.

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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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