CNVD-2025-18835
Vulnerability from cnvd - Published: 2025-08-19
VLAI
Title
WordPress Elementor Plugin任意文件读取漏洞
Description
WordPress Elementor Plugin是一款可视化页面设计插件,允许用户通过拖放模块和可视化编辑器创建专业网页,无需编写代码。
WordPress Elementor Plugin存在任意文件读取漏洞,该漏洞源于程序未能正确地过滤资源或文件路径中的特殊元素。攻击者可利用该漏洞导致信息泄露。
Severity
中
Patch Name
WordPress Elementor Plugin任意文件读取漏洞的补丁
Patch Description
WordPress Elementor Plugin是一款可视化页面设计插件,允许用户通过拖放模块和可视化编辑器创建专业网页,无需编写代码。
WordPress Elementor Plugin存在任意文件读取漏洞,该漏洞源于程序未能正确地过滤资源或文件路径中的特殊元素。攻击者可利用该漏洞导致信息泄露。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/elementor/
Reference
https://github.com/elementor/elementor/commit/6af3551ee4213fb4003338743e22f41aa2a09c01
Impacted products
| Name | WordPress Elementor Plugin <=3.30.2 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2025-8081",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-8081"
}
},
"description": "WordPress Elementor Plugin\u662f\u4e00\u6b3e\u53ef\u89c6\u5316\u9875\u9762\u8bbe\u8ba1\u63d2\u4ef6\uff0c\u5141\u8bb8\u7528\u6237\u901a\u8fc7\u62d6\u653e\u6a21\u5757\u548c\u53ef\u89c6\u5316\u7f16\u8f91\u5668\u521b\u5efa\u4e13\u4e1a\u7f51\u9875\uff0c\u65e0\u9700\u7f16\u5199\u4ee3\u7801\u3002\n\nWordPress Elementor Plugin\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u5730\u8fc7\u6ee4\u8d44\u6e90\u6216\u6587\u4ef6\u8def\u5f84\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u9732\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/elementor/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2025-18835",
"openTime": "2025-08-19",
"patchDescription": "WordPress Elementor Plugin\u662f\u4e00\u6b3e\u53ef\u89c6\u5316\u9875\u9762\u8bbe\u8ba1\u63d2\u4ef6\uff0c\u5141\u8bb8\u7528\u6237\u901a\u8fc7\u62d6\u653e\u6a21\u5757\u548c\u53ef\u89c6\u5316\u7f16\u8f91\u5668\u521b\u5efa\u4e13\u4e1a\u7f51\u9875\uff0c\u65e0\u9700\u7f16\u5199\u4ee3\u7801\u3002\r\n\r\nWordPress Elementor Plugin\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u5730\u8fc7\u6ee4\u8d44\u6e90\u6216\u6587\u4ef6\u8def\u5f84\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u9732\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 Elementor Plugin\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "WordPress Elementor Plugin \u003c=3.30.2"
},
"referenceLink": "https://github.com/elementor/elementor/commit/6af3551ee4213fb4003338743e22f41aa2a09c01",
"serverity": "\u4e2d",
"submitTime": "2025-08-15",
"title": "WordPress Elementor Plugin\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e"
}
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Sightings
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.