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CNVD-2025-29488

Vulnerability from cnvd - Published: 2025-11-27
VLAI
Title
WordPress Locker Content plugin信息泄露漏洞
Description
WordPress Locker Content plugin是用于在WordPress网站中锁定内容的工具,通常通过邮件订阅、用户权限等方式限制访问。 WordPress Locker Content plugin存在信息泄露漏洞,该漏洞源于lockerco_submit_post AJAX端点暴露敏感信息,攻击者可利用该漏洞获取敏感信息。
Severity
Patch Name
WordPress Locker Content plugin信息泄露漏洞的补丁
Patch Description
WordPress Locker Content plugin是用于在WordPress网站中锁定内容的工具,通常通过邮件订阅、用户权限等方式限制访问。 WordPress Locker Content plugin存在信息泄露漏洞,该漏洞源于lockerco_submit_post AJAX端点暴露敏感信息,攻击者可利用该漏洞获取敏感信息。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/locker-content/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-12525
Impacted products
Name
WordPress Locker Content plugin 1.0.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-12525",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-12525"
    }
  },
  "description": "WordPress Locker Content plugin\u662f\u7528\u4e8e\u5728WordPress\u7f51\u7ad9\u4e2d\u9501\u5b9a\u5185\u5bb9\u7684\u5de5\u5177\uff0c\u901a\u5e38\u901a\u8fc7\u90ae\u4ef6\u8ba2\u9605\u3001\u7528\u6237\u6743\u9650\u7b49\u65b9\u5f0f\u9650\u5236\u8bbf\u95ee\u3002\n\nWordPress Locker Content plugin\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8elockerco_submit_post AJAX\u7aef\u70b9\u66b4\u9732\u654f\u611f\u4fe1\u606f\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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:\r\nhttps://wordpress.org/plugins/locker-content/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-29488",
  "openTime": "2025-11-27",
  "patchDescription": "WordPress Locker Content plugin\u662f\u7528\u4e8e\u5728WordPress\u7f51\u7ad9\u4e2d\u9501\u5b9a\u5185\u5bb9\u7684\u5de5\u5177\uff0c\u901a\u5e38\u901a\u8fc7\u90ae\u4ef6\u8ba2\u9605\u3001\u7528\u6237\u6743\u9650\u7b49\u65b9\u5f0f\u9650\u5236\u8bbf\u95ee\u3002\r\n\r\nWordPress Locker Content plugin\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8elockerco_submit_post AJAX\u7aef\u70b9\u66b4\u9732\u654f\u611f\u4fe1\u606f\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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 Locker Content plugin\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Locker Content plugin 1.0.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-12525",
  "serverity": "\u4e2d",
  "submitTime": "2025-11-27",
  "title": "WordPress Locker Content plugin\u4fe1\u606f\u6cc4\u9732\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.
  • 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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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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