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CNVD-2025-29478

Vulnerability from cnvd - Published: 2025-11-27
VLAI
Title
WordPress AI Feeds plugin任意文件上传漏洞
Description
WordPress AI Feeds plugin是一个开源软件,主要用于生成和管理博客的Feed。 WordPress AI Feeds plugin存在任意文件上传漏洞,该漏洞源于应用对上传的文件缺少有效的验证。攻击者可利用该漏洞上传恶意文件从而远程执行任意代码。
Severity
Patch Name
WordPress AI Feeds plugin任意文件上传漏洞的补丁
Patch Description
WordPress AI Feeds plugin是一个开源软件,主要用于生成和管理博客的Feed。 WordPress AI Feeds plugin存在任意文件上传漏洞,该漏洞源于应用对上传的文件缺少有效的验证。攻击者可利用该漏洞上传恶意文件从而远程执行任意代码。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/ai-feeds

Reference
https://github.com/d0n601/CVE-2025-13597
Impacted products
Name
WordPress AI Feeds plugin <=1.0.11
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-13597",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-13597"
    }
  },
  "description": "WordPress AI Feeds plugin\u662f\u4e00\u4e2a\u5f00\u6e90\u8f6f\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u548c\u7ba1\u7406\u535a\u5ba2\u7684Feed\u3002\n\nWordPress AI Feeds plugin\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u4e0a\u4f20\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5bf9\u4e0a\u4f20\u7684\u6587\u4ef6\u7f3a\u5c11\u6709\u6548\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4e0a\u4f20\u6076\u610f\u6587\u4ef6\u4ece\u800c\u8fdc\u7a0b\u6267\u884c\u4efb\u610f\u4ee3\u7801\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/ai-feeds",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-29478",
  "openTime": "2025-11-27",
  "patchDescription": "WordPress AI Feeds plugin\u662f\u4e00\u4e2a\u5f00\u6e90\u8f6f\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u548c\u7ba1\u7406\u535a\u5ba2\u7684Feed\u3002\r\n\r\nWordPress AI Feeds plugin\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u4e0a\u4f20\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5bf9\u4e0a\u4f20\u7684\u6587\u4ef6\u7f3a\u5c11\u6709\u6548\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4e0a\u4f20\u6076\u610f\u6587\u4ef6\u4ece\u800c\u8fdc\u7a0b\u6267\u884c\u4efb\u610f\u4ee3\u7801\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 AI Feeds plugin\u4efb\u610f\u6587\u4ef6\u4e0a\u4f20\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress AI Feeds plugin \u003c=1.0.11"
  },
  "referenceLink": "https://github.com/d0n601/CVE-2025-13597",
  "serverity": "\u9ad8",
  "submitTime": "2025-11-27",
  "title": "WordPress AI Feeds plugin\u4efb\u610f\u6587\u4ef6\u4e0a\u4f20\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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