CNVD-2024-07865

Vulnerability from cnvd - Published: 2024-02-06
VLAI
Title
vantage6存在未明漏洞(CNVD-2024-07865)
Description
vantage6是vantage6开源的一个用于Secure Insight eXchange的开源priVAcy preserviNg federalTed leArningG基础架构。 vantage存在安全漏洞,该漏洞源于如果任务是在加密协作中创建的,则不会检查输入是否已加密。目前没有详细的漏洞细节提供。
Severity
中
Patch Name
vantage6存在未明漏洞(CNVD-2024-07865)的补丁
Patch Description
vantage6是vantage6开源的一个用于Secure Insight eXchange的开源priVAcy preserviNg federalTed leArningG基础架构。 vantage存在安全漏洞,该漏洞源于如果任务是在加密协作中创建的,则不会检查输入是否已加密。目前没有详细的漏洞细节提供。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://github.com/vantage6/vantage6/security/advisories/GHSA-rjmv-52mp-gjrr

Reference
https://github.com/vantage6/vantage6/security/advisories/GHSA-rjmv-52mp-gjrr
Impacted products
Name
vantage6 vantage6 <4.2.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-22193",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-22193"
    }
  },
  "description": "vantage6\u662fvantage6\u5f00\u6e90\u7684\u4e00\u4e2a\u7528\u4e8eSecure Insight eXchange\u7684\u5f00\u6e90priVAcy preserviNg federalTed leArningG\u57fa\u7840\u67b6\u6784\u3002\n\nvantage\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5982\u679c\u4efb\u52a1\u662f\u5728\u52a0\u5bc6\u534f\u4f5c\u4e2d\u521b\u5efa\u7684\uff0c\u5219\u4e0d\u4f1a\u68c0\u67e5\u8f93\u5165\u662f\u5426\u5df2\u52a0\u5bc6\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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://github.com/vantage6/vantage6/security/advisories/GHSA-rjmv-52mp-gjrr",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-07865",
  "openTime": "2024-02-06",
  "patchDescription": "vantage6\u662fvantage6\u5f00\u6e90\u7684\u4e00\u4e2a\u7528\u4e8eSecure Insight eXchange\u7684\u5f00\u6e90priVAcy preserviNg federalTed leArningG\u57fa\u7840\u67b6\u6784\u3002\r\n\r\nvantage\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5982\u679c\u4efb\u52a1\u662f\u5728\u52a0\u5bc6\u534f\u4f5c\u4e2d\u521b\u5efa\u7684\uff0c\u5219\u4e0d\u4f1a\u68c0\u67e5\u8f93\u5165\u662f\u5426\u5df2\u52a0\u5bc6\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "vantage6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2024-07865\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "vantage6 vantage6 \u003c4.2.0"
  },
  "referenceLink": "https://github.com/vantage6/vantage6/security/advisories/GHSA-rjmv-52mp-gjrr",
  "serverity": "\u4e2d",
  "submitTime": "2024-02-04",
  "title": "vantage6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2024-07865\uff09"
}



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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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