CNVD-2025-17883

Vulnerability from cnvd - Published: 2025-08-08
VLAI
Title
WordPress WebinarIgnition身份验证绕过漏洞
Description
WordPress WebinarIgnition是一款用于WordPress的开源插件,主要用于创建实时互动的网络研讨会。 WordPress WebinarIgnition存在身份验证绕过漏洞,该漏洞源于缺少能力检查,攻击者可利用该漏洞生成任意WordPress用户登录令牌。
Severity
高
Patch Name
WordPress WebinarIgnition身份验证绕过漏洞的补丁
Patch Description
WordPress WebinarIgnition是一款用于WordPress的开源插件,主要用于创建实时互动的网络研讨会。 WordPress WebinarIgnition存在身份验证绕过漏洞,该漏洞源于缺少能力检查,攻击者可利用该漏洞生成任意WordPress用户登录令牌。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/webinar-ignition/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-6441
Impacted products
Name
WordPress WebinarIgnition <=4.03.31
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-6441",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-6441"
    }
  },
  "description": "WordPress WebinarIgnition\u662f\u4e00\u6b3e\u7528\u4e8eWordPress\u7684\u5f00\u6e90\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u521b\u5efa\u5b9e\u65f6\u4e92\u52a8\u7684\u7f51\u7edc\u7814\u8ba8\u4f1a\u3002\n\nWordPress WebinarIgnition\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u80fd\u529b\u68c0\u67e5\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u751f\u6210\u4efb\u610fWordPress\u7528\u6237\u767b\u5f55\u4ee4\u724c\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/webinar-ignition/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-17883",
  "openTime": "2025-08-08",
  "patchDescription": "WordPress WebinarIgnition\u662f\u4e00\u6b3e\u7528\u4e8eWordPress\u7684\u5f00\u6e90\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u521b\u5efa\u5b9e\u65f6\u4e92\u52a8\u7684\u7f51\u7edc\u7814\u8ba8\u4f1a\u3002\r\n\r\nWordPress WebinarIgnition\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u80fd\u529b\u68c0\u67e5\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u751f\u6210\u4efb\u610fWordPress\u7528\u6237\u767b\u5f55\u4ee4\u724c\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 WebinarIgnition\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress WebinarIgnition \u003c=4.03.31"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-6441",
  "serverity": "\u9ad8",
  "submitTime": "2025-07-30",
  "title": "WordPress WebinarIgnition\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…