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CNVD-2022-54736

Vulnerability from cnvd - Published: 2022-08-02
VLAI
Title
Pexip Infinity访问控制错误漏洞
Description
Pexip Infinity(派视普视频会议云协作平台)是挪威派世(Pexip)公司的一款视频会议云协作平台。该产品可提供高质量安全的云会议功能。 Pexip Infinity存在访问控制错误漏洞,未经身份验证的远程攻击者可利用该漏洞加入锁定但不受PIN保护的会议。
Severity
Patch Name
Pexip Infinity访问控制错误漏洞的补丁
Patch Description
Pexip Infinity(派视普视频会议云协作平台)是挪威派世(Pexip)公司的一款视频会议云协作平台。该产品可提供高质量安全的云会议功能。 Pexip Infinity存在访问控制错误漏洞,未经身份验证的远程攻击者可利用该漏洞加入锁定但不受PIN保护的会议。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://docs.pexip.com/admin/security_bulletins.htm#CVE-2022-27937

Reference
https://cxsecurity.com/cveshow/CVE-2022-25357/
Impacted products
Name
Pexip Pexip Infinity 27.*,<27.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-25357"
    }
  },
  "description": "Pexip Infinity\uff08\u6d3e\u89c6\u666e\u89c6\u9891\u4f1a\u8bae\u4e91\u534f\u4f5c\u5e73\u53f0\uff09\u662f\u632a\u5a01\u6d3e\u4e16\uff08Pexip\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u89c6\u9891\u4f1a\u8bae\u4e91\u534f\u4f5c\u5e73\u53f0\u3002\u8be5\u4ea7\u54c1\u53ef\u63d0\u4f9b\u9ad8\u8d28\u91cf\u5b89\u5168\u7684\u4e91\u4f1a\u8bae\u529f\u80fd\u3002\n\nPexip Infinity\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u52a0\u5165\u9501\u5b9a\u4f46\u4e0d\u53d7PIN\u4fdd\u62a4\u7684\u4f1a\u8bae\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://docs.pexip.com/admin/security_bulletins.htm#CVE-2022-27937",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-54736",
  "openTime": "2022-08-02",
  "patchDescription": "Pexip Infinity\uff08\u6d3e\u89c6\u666e\u89c6\u9891\u4f1a\u8bae\u4e91\u534f\u4f5c\u5e73\u53f0\uff09\u662f\u632a\u5a01\u6d3e\u4e16\uff08Pexip\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u89c6\u9891\u4f1a\u8bae\u4e91\u534f\u4f5c\u5e73\u53f0\u3002\u8be5\u4ea7\u54c1\u53ef\u63d0\u4f9b\u9ad8\u8d28\u91cf\u5b89\u5168\u7684\u4e91\u4f1a\u8bae\u529f\u80fd\u3002\r\n\r\nPexip Infinity\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u52a0\u5165\u9501\u5b9a\u4f46\u4e0d\u53d7PIN\u4fdd\u62a4\u7684\u4f1a\u8bae\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": "Pexip Infinity\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Pexip Pexip Infinity 27.*\uff0c\u003c27.2"
  },
  "referenceLink": "https://cxsecurity.com/cveshow/CVE-2022-25357/",
  "serverity": "\u4e2d",
  "submitTime": "2022-07-19",
  "title": "Pexip Infinity\u8bbf\u95ee\u63a7\u5236\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

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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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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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