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CNVD-2025-27460

Vulnerability from cnvd - Published: 2025-11-10
VLAI
Title
Fortinet FortiOS缓冲区溢出漏洞
Description
Fortinet FortiOS是Fortinet公司的网络安全操作系统,用于提供防火墙、VPN、入侵防御等安全功能。 Fortinet FortiOS存在缓冲区溢出漏洞,该漏洞源于未对特制CLI命令进行充分边界检查。攻击者可利用该漏洞通过构造恶意CLI命令触发堆溢出,实现权限提升。
Severity
Patch Name
Fortinet FortiOS缓冲区溢出漏洞的补丁
Patch Description
Fortinet FortiOS是Fortinet公司的网络安全操作系统,用于提供防火墙、VPN、入侵防御等安全功能。 Fortinet FortiOS存在缓冲区溢出漏洞,该漏洞源于未对特制CLI命令进行充分边界检查。攻击者可利用该漏洞通过构造恶意CLI命令触发堆溢出,实现权限提升。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://fortiguard.fortinet.com/psirt/FG-IR-25-026

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-24477
Impacted products
Name
['Fortinet FortiOS >=7.2.4,<7.2.12', 'Fortinet FortiOS >=7.4.0,<7.4.8', 'Fortinet FortiOS >=7.6.0,<7.6.3']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-24477",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-24477"
    }
  },
  "description": "Fortinet FortiOS\u662fFortinet\u516c\u53f8\u7684\u7f51\u7edc\u5b89\u5168\u64cd\u4f5c\u7cfb\u7edf\uff0c\u7528\u4e8e\u63d0\u4f9b\u9632\u706b\u5899\u3001VPN\u3001\u5165\u4fb5\u9632\u5fa1\u7b49\u5b89\u5168\u529f\u80fd\u3002\n\nFortinet FortiOS\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u5bf9\u7279\u5236CLI\u547d\u4ee4\u8fdb\u884c\u5145\u5206\u8fb9\u754c\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u6076\u610fCLI\u547d\u4ee4\u89e6\u53d1\u5806\u6ea2\u51fa\uff0c\u5b9e\u73b0\u6743\u9650\u63d0\u5347\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a \r\nhttps://fortiguard.fortinet.com/psirt/FG-IR-25-026",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-27460",
  "openTime": "2025-11-10",
  "patchDescription": "Fortinet FortiOS\u662fFortinet\u516c\u53f8\u7684\u7f51\u7edc\u5b89\u5168\u64cd\u4f5c\u7cfb\u7edf\uff0c\u7528\u4e8e\u63d0\u4f9b\u9632\u706b\u5899\u3001VPN\u3001\u5165\u4fb5\u9632\u5fa1\u7b49\u5b89\u5168\u529f\u80fd\u3002\r\n\r\nFortinet FortiOS\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u5bf9\u7279\u5236CLI\u547d\u4ee4\u8fdb\u884c\u5145\u5206\u8fb9\u754c\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u6076\u610fCLI\u547d\u4ee4\u89e6\u53d1\u5806\u6ea2\u51fa\uff0c\u5b9e\u73b0\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 FortiOS\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiOS \u003e=7.2.4\uff0c\u003c7.2.12",
      "Fortinet FortiOS \u003e=7.4.0\uff0c\u003c7.4.8",
      "Fortinet FortiOS \u003e=7.6.0\uff0c\u003c7.6.3"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-24477",
  "serverity": "\u4e2d",
  "submitTime": "2025-07-16",
  "title": "Fortinet FortiOS\u7f13\u51b2\u533a\u6ea2\u51fa\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.
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  • 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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