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CNVD-2025-17192

Vulnerability from cnvd - Published: 2025-07-30
VLAI
Title
WordPress Funnel Builder by FunnelKit plugin SQL注入漏洞
Description
WordPress Funnel Builder by FunnelKit plugin是WordPress平台上的专业销售漏斗构建插件,主要用于优化WooCommerce购物流程并提升转化率。 WordPress Funnel Builder by FunnelKit plugin存在SQL注入漏洞,该漏洞源于应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令窃取数据库敏感数据。
Severity
Patch Name
WordPress Funnel Builder by FunnelKit plugin SQL注入漏洞的补丁
Patch Description
WordPress Funnel Builder by FunnelKit plugin是WordPress平台上的专业销售漏斗构建插件,主要用于优化WooCommerce购物流程并提升转化率。 WordPress Funnel Builder by FunnelKit plugin存在SQL注入漏洞,该漏洞源于应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令窃取数据库敏感数据。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

目前厂商已发布升级程序修复该安全问题,详情见厂商官网: https://wordpress.org/plugins/funnel-builder/

Reference
https://patchstack.com/database/wordpress/plugin/funnel-builder/vulnerability/wordpress-funnel-builder-by-funnelkit-plugin-3-10-2-sql-injection-vulnerability?_s_id=cve
Impacted products
Name
WordPress Funnel Builder by FunnelKit plugin <=3.10.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-49034",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-49034"
    }
  },
  "description": "WordPress Funnel Builder by FunnelKit plugin\u662fWordPress\u5e73\u53f0\u4e0a\u7684\u4e13\u4e1a\u9500\u552e\u6f0f\u6597\u6784\u5efa\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u4f18\u5316WooCommerce\u8d2d\u7269\u6d41\u7a0b\u5e76\u63d0\u5347\u8f6c\u5316\u7387\u3002\n\nWordPress Funnel Builder by FunnelKit plugin\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\u6570\u636e\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://wordpress.org/plugins/funnel-builder/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-17192",
  "openTime": "2025-07-30",
  "patchDescription": "WordPress Funnel Builder by FunnelKit plugin\u662fWordPress\u5e73\u53f0\u4e0a\u7684\u4e13\u4e1a\u9500\u552e\u6f0f\u6597\u6784\u5efa\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u4f18\u5316WooCommerce\u8d2d\u7269\u6d41\u7a0b\u5e76\u63d0\u5347\u8f6c\u5316\u7387\u3002\r\n\r\nWordPress Funnel Builder by FunnelKit plugin\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\u6570\u636e\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": "WordPress Funnel Builder by FunnelKit plugin SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Funnel Builder by FunnelKit plugin \u003c=3.10.2"
  },
  "referenceLink": "https://patchstack.com/database/wordpress/plugin/funnel-builder/vulnerability/wordpress-funnel-builder-by-funnelkit-plugin-3-10-2-sql-injection-vulnerability?_s_id=cve",
  "serverity": "\u4e2d",
  "submitTime": "2025-07-25",
  "title": "WordPress Funnel Builder by FunnelKit plugin SQL\u6ce8\u5165\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.
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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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