CNVD-2022-78143
Vulnerability from cnvd - Published: 2022-11-17
VLAI
Title
FeehiCMS跨站脚本漏洞(CNVD-2022-78143)
Description
FeehiCMS是个人开发者的一个基于Php的CMS建站系统。
FeehiCMS v2.1.1版本存在安全漏洞,该漏洞源于通过/web/admin/index.php?r=log%2Fview-layer上的id参数发现包含反射型跨站点脚本(XSS)漏洞。目前没有详细漏洞细节提供。
Severity
中
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://doc.feehi.com/install.html
Reference
https://nvd.nist.gov/vuln/detail/CVE-2022-43320
Impacted products
| Name | FeehiCMS FeehiCMS v2.1.1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-43320",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-43320"
}
},
"description": "FeehiCMS\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u4e2a\u57fa\u4e8ePhp\u7684CMS\u5efa\u7ad9\u7cfb\u7edf\u3002\n\nFeehiCMS v2.1.1\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u901a\u8fc7/web/admin/index.php?r=log%2Fview-layer\u4e0a\u7684id\u53c2\u6570\u53d1\u73b0\u5305\u542b\u53cd\u5c04\u578b\u8de8\u7ad9\u70b9\u811a\u672c\uff08XSS\uff09\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://doc.feehi.com/install.html",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-78143",
"openTime": "2022-11-17",
"products": {
"product": "FeehiCMS FeehiCMS v2.1.1"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-43320",
"serverity": "\u4e2d",
"submitTime": "2022-11-11",
"title": "FeehiCMS\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-78143\uff09"
}
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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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