CNVD-2026-32217
Vulnerability from cnvd - Published: 2026-08-17
VLAI
Title
WordPress AI Engine授权绕过漏洞
Description
WordPress AI Engine是由开发者JordyMeow推出的WordPress官方插件库核心组件,旨在将多模型AI能力(聊天机器人、内容生成、MCP智能体连接等)原生集成至WordPress后台,无需切换界面即可调用OpenAI、Anthropic、Google等主流大模型。
WordPress AI Engine存在授权绕过漏洞,该漏洞源于访客上传的聊天机器人文件删除流程仅依赖客户端会话cookie值,未验证文件所有权。攻击者可利用该漏洞在获得受害者会话标识符和文件引用后删除受害者上传的文件。
Severity
中
Patch Name
WordPress AI Engine授权绕过漏洞的补丁
Patch Description
WordPress AI Engine是由开发者JordyMeow推出的WordPress官方插件库核心组件,旨在将多模型AI能力(聊天机器人、内容生成、MCP智能体连接等)原生集成至WordPress后台,无需切换界面即可调用OpenAI、Anthropic、Google等主流大模型。
WordPress AI Engine存在授权绕过漏洞,该漏洞源于访客上传的聊天机器人文件删除流程仅依赖客户端会话cookie值,未验证文件所有权。攻击者可利用该漏洞在获得受害者会话标识符和文件引用后删除受害者上传的文件。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-engine/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2026-16953
Impacted products
| Name | WordPress AI Engine <3.6.4 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2026-16953",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-16953"
}
},
"description": "WordPress AI Engine\u662f\u7531\u5f00\u53d1\u8005JordyMeow\u63a8\u51fa\u7684WordPress\u5b98\u65b9\u63d2\u4ef6\u5e93\u6838\u5fc3\u7ec4\u4ef6\uff0c\u65e8\u5728\u5c06\u591a\u6a21\u578bAI\u80fd\u529b\uff08\u804a\u5929\u673a\u5668\u4eba\u3001\u5185\u5bb9\u751f\u6210\u3001MCP\u667a\u80fd\u4f53\u8fde\u63a5\u7b49\uff09\u539f\u751f\u96c6\u6210\u81f3WordPress\u540e\u53f0\uff0c\u65e0\u9700\u5207\u6362\u754c\u9762\u5373\u53ef\u8c03\u7528OpenAI\u3001Anthropic\u3001Google\u7b49\u4e3b\u6d41\u5927\u6a21\u578b\u3002\n\nWordPress AI Engine\u5b58\u5728\u6388\u6743\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u5ba2\u4e0a\u4f20\u7684\u804a\u5929\u673a\u5668\u4eba\u6587\u4ef6\u5220\u9664\u6d41\u7a0b\u4ec5\u4f9d\u8d56\u5ba2\u6237\u7aef\u4f1a\u8bddcookie\u503c\uff0c\u672a\u9a8c\u8bc1\u6587\u4ef6\u6240\u6709\u6743\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u83b7\u5f97\u53d7\u5bb3\u8005\u4f1a\u8bdd\u6807\u8bc6\u7b26\u548c\u6587\u4ef6\u5f15\u7528\u540e\u5220\u9664\u53d7\u5bb3\u8005\u4e0a\u4f20\u7684\u6587\u4ef6\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-engine/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-32217",
"openTime": "2026-08-17",
"patchDescription": "WordPress AI Engine\u662f\u7531\u5f00\u53d1\u8005JordyMeow\u63a8\u51fa\u7684WordPress\u5b98\u65b9\u63d2\u4ef6\u5e93\u6838\u5fc3\u7ec4\u4ef6\uff0c\u65e8\u5728\u5c06\u591a\u6a21\u578bAI\u80fd\u529b\uff08\u804a\u5929\u673a\u5668\u4eba\u3001\u5185\u5bb9\u751f\u6210\u3001MCP\u667a\u80fd\u4f53\u8fde\u63a5\u7b49\uff09\u539f\u751f\u96c6\u6210\u81f3WordPress\u540e\u53f0\uff0c\u65e0\u9700\u5207\u6362\u754c\u9762\u5373\u53ef\u8c03\u7528OpenAI\u3001Anthropic\u3001Google\u7b49\u4e3b\u6d41\u5927\u6a21\u578b\u3002\r\n\r\nWordPress AI Engine\u5b58\u5728\u6388\u6743\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u5ba2\u4e0a\u4f20\u7684\u804a\u5929\u673a\u5668\u4eba\u6587\u4ef6\u5220\u9664\u6d41\u7a0b\u4ec5\u4f9d\u8d56\u5ba2\u6237\u7aef\u4f1a\u8bddcookie\u503c\uff0c\u672a\u9a8c\u8bc1\u6587\u4ef6\u6240\u6709\u6743\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u83b7\u5f97\u53d7\u5bb3\u8005\u4f1a\u8bdd\u6807\u8bc6\u7b26\u548c\u6587\u4ef6\u5f15\u7528\u540e\u5220\u9664\u53d7\u5bb3\u8005\u4e0a\u4f20\u7684\u6587\u4ef6\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 Engine\u6388\u6743\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "WordPress AI Engine \u003c3.6.4"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-16953",
"serverity": "\u4e2d",
"submitTime": "2026-08-11",
"title": "WordPress AI Engine\u6388\u6743\u7ed5\u8fc7\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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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.
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.
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