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CNVD-2025-27250

Vulnerability from cnvd - Published: 2025-11-06
VLAI
Title
WordPress Masterstudy plugin文件包含漏洞
Description
WordPress Masterstudy plugin是专为WordPress设计的免费学习管理系统插件。 WordPress Masterstudy plugin存在文件包含漏洞,该漏洞源于对包含或请求语句的文件名控制不当,攻击者可利用该漏洞导致PHP本地文件包含。
Severity
Patch Name
WordPress Masterstudy plugin文件包含漏洞的补丁
Patch Description
WordPress Masterstudy plugin是专为WordPress设计的免费学习管理系统插件。 WordPress Masterstudy plugin存在文件包含漏洞,该漏洞源于对包含或请求语句的文件名控制不当,攻击者可利用该漏洞导致PHP本地文件包含。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/

Reference
https://vdp.patchstack.com/database/Wordpress/Theme/masterstudy/vulnerability/wordpress-masterstudy-theme-4-8-126-local-file-inclusion-vulnerability
Impacted products
Name
WordPress Masterstudy plugin <4.8.126
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-64364",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-64364"
    }
  },
  "description": "WordPress Masterstudy plugin\u662f\u4e13\u4e3aWordPress\u8bbe\u8ba1\u7684\u514d\u8d39\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf\u63d2\u4ef6\u3002\n\nWordPress Masterstudy plugin\u5b58\u5728\u6587\u4ef6\u5305\u542b\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u5305\u542b\u6216\u8bf7\u6c42\u8bed\u53e5\u7684\u6587\u4ef6\u540d\u63a7\u5236\u4e0d\u5f53\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4PHP\u672c\u5730\u6587\u4ef6\u5305\u542b\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/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-27250",
  "openTime": "2025-11-06",
  "patchDescription": "WordPress Masterstudy plugin\u662f\u4e13\u4e3aWordPress\u8bbe\u8ba1\u7684\u514d\u8d39\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf\u63d2\u4ef6\u3002\r\n\r\nWordPress Masterstudy plugin\u5b58\u5728\u6587\u4ef6\u5305\u542b\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u5305\u542b\u6216\u8bf7\u6c42\u8bed\u53e5\u7684\u6587\u4ef6\u540d\u63a7\u5236\u4e0d\u5f53\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4PHP\u672c\u5730\u6587\u4ef6\u5305\u542b\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 Masterstudy plugin\u6587\u4ef6\u5305\u542b\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Masterstudy plugin \u003c4.8.126"
  },
  "referenceLink": "https://vdp.patchstack.com/database/Wordpress/Theme/masterstudy/vulnerability/wordpress-masterstudy-theme-4-8-126-local-file-inclusion-vulnerability",
  "serverity": "\u9ad8",
  "submitTime": "2025-11-05",
  "title": "WordPress Masterstudy plugin\u6587\u4ef6\u5305\u542b\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

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.

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Detection rules are retrieved from Rulezet.

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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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