CNVD-2025-29479
Vulnerability from cnvd - Published: 2025-11-27
VLAI
Title
WordPress Autochat Automatic Conversation plugin未经授权修改数据漏洞
Description
WordPress Autochat Automatic Conversation plugin是一款专为WordPress设计的自动聊天插件,主要用于自动化处理网站访客与商家之间的沟通。
WordPress Autochat Automatic Conversation plugin存在未经授权修改数据漏洞,该漏洞源于缺少权限检查,攻击者可利用该漏洞导致未经授权的数据修改。
Severity
中
Formal description
目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://wordpress.org/
Reference
https://wordpress.org/plugins/auyautochat-for-wp/
Impacted products
| Name | WordPress Autochat Automatic Conversation plugin <=1.1.9 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2025-12043",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-12043"
}
},
"description": "WordPress Autochat Automatic Conversation plugin\u662f\u4e00\u6b3e\u4e13\u4e3aWordPress\u8bbe\u8ba1\u7684\u81ea\u52a8\u804a\u5929\u63d2\u4ef6\uff0c\u4e3b\u8981\u7528\u4e8e\u81ea\u52a8\u5316\u5904\u7406\u7f51\u7ad9\u8bbf\u5ba2\u4e0e\u5546\u5bb6\u4e4b\u95f4\u7684\u6c9f\u901a\u3002\n\nWordPress Autochat Automatic Conversation plugin\u5b58\u5728\u672a\u7ecf\u6388\u6743\u4fee\u6539\u6570\u636e\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f3a\u5c11\u6743\u9650\u68c0\u67e5\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u672a\u7ecf\u6388\u6743\u7684\u6570\u636e\u4fee\u6539\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\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/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2025-29479",
"openTime": "2025-11-27",
"products": {
"product": "WordPress Autochat Automatic Conversation plugin \u003c=1.1.9"
},
"referenceLink": "https://wordpress.org/plugins/auyautochat-for-wp/",
"serverity": "\u4e2d",
"submitTime": "2025-11-27",
"title": "WordPress Autochat Automatic Conversation plugin\u672a\u7ecf\u6388\u6743\u4fee\u6539\u6570\u636e\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.
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.