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CNVD-2025-17277

Vulnerability from cnvd - Published: 2025-07-30
VLAI
Title
WordPress Cost Calculator授权问题漏洞
Description
WordPress Cost Calculator是一种用于创建报价或成本估算表单的插件,主要用于帮助用户根据不同参数实时计算价格,并生成专业报价单。 WordPress Cost Calculator存在授权问题漏洞,该漏洞源于访问控制配置不当,目前没有详细的漏洞细节提供。
Severity
Patch Name
WordPress Cost Calculator授权问题漏洞的补丁
Patch Description
WordPress Cost Calculator是一种用于创建报价或成本估算表单的插件,主要用于帮助用户根据不同参数实时计算价格,并生成专业报价单。 WordPress Cost Calculator存在授权问题漏洞,该漏洞源于访问控制配置不当,目前没有详细的漏洞细节提供。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://nvd.nist.gov/vuln/detail/CVE-2025-54047
Impacted products
Name
WordPress Cost Calculator <=7.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-54047",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-54047"
    }
  },
  "description": "WordPress Cost Calculator\u662f\u4e00\u79cd\u7528\u4e8e\u521b\u5efa\u62a5\u4ef7\u6216\u6210\u672c\u4f30\u7b97\u8868\u5355\u7684\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u5e2e\u52a9\u7528\u6237\u6839\u636e\u4e0d\u540c\u53c2\u6570\u5b9e\u65f6\u8ba1\u7b97\u4ef7\u683c\uff0c\u5e76\u751f\u6210\u4e13\u4e1a\u62a5\u4ef7\u5355\u3002\n\nWordPress Cost Calculator\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u95ee\u63a7\u5236\u914d\u7f6e\u4e0d\u5f53\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-17277",
  "openTime": "2025-07-30",
  "patchDescription": "WordPress Cost Calculator\u662f\u4e00\u79cd\u7528\u4e8e\u521b\u5efa\u62a5\u4ef7\u6216\u6210\u672c\u4f30\u7b97\u8868\u5355\u7684\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u5e2e\u52a9\u7528\u6237\u6839\u636e\u4e0d\u540c\u53c2\u6570\u5b9e\u65f6\u8ba1\u7b97\u4ef7\u683c\uff0c\u5e76\u751f\u6210\u4e13\u4e1a\u62a5\u4ef7\u5355\u3002\r\n\r\nWordPress Cost Calculator\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u95ee\u63a7\u5236\u914d\u7f6e\u4e0d\u5f53\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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 Cost Calculator\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Cost Calculator \u003c=7.4"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-54047",
  "serverity": "\u4e2d",
  "submitTime": "2025-07-23",
  "title": "WordPress Cost Calculator\u6388\u6743\u95ee\u9898\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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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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