CNVD-2025-27644

Vulnerability from cnvd - Published: 2025-11-11
VLAI
Title
IPFire跨站脚本漏洞(CNVD-2025-27644)
Description
IPFire是IPFire组织的一种开源Linux发行版。主要用作路由器和防火墙。 IPFire存在跨站脚本漏洞,该漏洞源于对TLS_HOSTNAME、UPSTREAM_USER、UPSTREAM_PASSWORD、ADMIN_MAIL_ADDRESS和ADMIN_PASSWORD参数清理和转义不足,攻击者可利用该漏洞允许注入的脚本在查看受影响DNS配置的其他用户的上下文中执行。
Severity
Patch Name
IPFire跨站脚本漏洞(CNVD-2025-27644)的补丁
Patch Description
IPFire是IPFire组织的一种开源Linux发行版。主要用作路由器和防火墙。 IPFire存在跨站脚本漏洞,该漏洞源于对TLS_HOSTNAME、UPSTREAM_USER、UPSTREAM_PASSWORD、ADMIN_MAIL_ADDRESS和ADMIN_PASSWORD参数清理和转义不足,攻击者可利用该漏洞允许注入的脚本在查看受影响DNS配置的其他用户的上下文中执行。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.ipfire.org/downloads/ipfire-2.29-core198

Reference
https://bugzilla.ipfire.org/show_bug.cgi?id=13893
Impacted products
Name
IPFire IPFire <2.29(Core Update 198)
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-34318",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-34318"
    }
  },
  "description": "IPFire\u662fIPFire\u7ec4\u7ec7\u7684\u4e00\u79cd\u5f00\u6e90Linux\u53d1\u884c\u7248\u3002\u4e3b\u8981\u7528\u4f5c\u8def\u7531\u5668\u548c\u9632\u706b\u5899\u3002\n\nIPFire\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9TLS_HOSTNAME\u3001UPSTREAM_USER\u3001UPSTREAM_PASSWORD\u3001ADMIN_MAIL_ADDRESS\u548cADMIN_PASSWORD\u53c2\u6570\u6e05\u7406\u548c\u8f6c\u4e49\u4e0d\u8db3\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5141\u8bb8\u6ce8\u5165\u7684\u811a\u672c\u5728\u67e5\u770b\u53d7\u5f71\u54cdDNS\u914d\u7f6e\u7684\u5176\u4ed6\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\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.ipfire.org/downloads/ipfire-2.29-core198",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-27644",
  "openTime": "2025-11-11",
  "patchDescription": "IPFire\u662fIPFire\u7ec4\u7ec7\u7684\u4e00\u79cd\u5f00\u6e90Linux\u53d1\u884c\u7248\u3002\u4e3b\u8981\u7528\u4f5c\u8def\u7531\u5668\u548c\u9632\u706b\u5899\u3002\r\n\r\nIPFire\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9TLS_HOSTNAME\u3001UPSTREAM_USER\u3001UPSTREAM_PASSWORD\u3001ADMIN_MAIL_ADDRESS\u548cADMIN_PASSWORD\u53c2\u6570\u6e05\u7406\u548c\u8f6c\u4e49\u4e0d\u8db3\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5141\u8bb8\u6ce8\u5165\u7684\u811a\u672c\u5728\u67e5\u770b\u53d7\u5f71\u54cdDNS\u914d\u7f6e\u7684\u5176\u4ed6\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\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": "IPFire\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2025-27644\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "IPFire IPFire \u003c2.29(Core Update 198)"
  },
  "referenceLink": "https://bugzilla.ipfire.org/show_bug.cgi?id=13893",
  "serverity": "\u4e2d",
  "submitTime": "2025-10-31",
  "title": "IPFire\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2025-27644\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

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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.
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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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