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CNVD-2025-24397

Vulnerability from cnvd - Published: 2025-10-21
VLAI
Title
Fortinet FortiClient MacOS installer数据伪造问题漏洞
Description
Fortinet FortiClient MacOS installer是美国飞塔(Fortinet)公司的一款客户端安装程序。 Fortinet FortiClient MacOS installer存在数据伪造问题漏洞,该漏洞源于加密签名验证不当,攻击者可利用该漏洞导致本地用户权限提升。
Severity
Patch Name
Fortinet FortiClient MacOS installer数据伪造问题漏洞的补丁
Patch Description
Fortinet FortiClient MacOS installer是美国飞塔(Fortinet)公司的一款客户端安装程序。 Fortinet FortiClient MacOS installer存在数据伪造问题漏洞,该漏洞源于加密签名验证不当,攻击者可利用该漏洞导致本地用户权限提升。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://fortiguard.fortinet.com/psirt/FG-IR-25-126

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-46774
Impacted products
Name
['Fortinet FortiClient MacOS installer <=7.4.2', 'Fortinet FortiClient MacOS installer <=7.2.9', 'Fortinet FortiClient MacOS installer 7.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-46774",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-46774"
    }
  },
  "description": "Fortinet FortiClient MacOS installer\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u5ba2\u6237\u7aef\u5b89\u88c5\u7a0b\u5e8f\u3002\n\nFortinet FortiClient MacOS installer\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u52a0\u5bc6\u7b7e\u540d\u9a8c\u8bc1\u4e0d\u5f53\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u672c\u5730\u7528\u6237\u6743\u9650\u63d0\u5347\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://fortiguard.fortinet.com/psirt/FG-IR-25-126",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-24397",
  "openTime": "2025-10-21",
  "patchDescription": "Fortinet FortiClient MacOS installer\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u5ba2\u6237\u7aef\u5b89\u88c5\u7a0b\u5e8f\u3002\r\n\r\nFortinet FortiClient MacOS installer\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u52a0\u5bc6\u7b7e\u540d\u9a8c\u8bc1\u4e0d\u5f53\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u672c\u5730\u7528\u6237\u6743\u9650\u63d0\u5347\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": "Fortinet FortiClient MacOS installer\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiClient MacOS installer \u003c=7.4.2",
      "Fortinet FortiClient MacOS installer \u003c=7.2.9",
      "Fortinet FortiClient MacOS installer 7.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-46774",
  "serverity": "\u4e2d",
  "submitTime": "2025-10-17",
  "title": "Fortinet FortiClient MacOS installer\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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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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