CNVD-2018-15497
Vulnerability from cnvd - Published: 2018-09-09
VLAI
Title
校无忧企业网站系统v1.7存在存储型跨站脚本漏洞
Description
校无忧企业网站系统(Xiao5uCompany)是一套面向公司、企业的建站系统。
校无忧企业网站系统v1.7存在存储型跨站脚本漏洞。攻击者可利用漏洞在页面中插入恶意js代码,获得用户cookie等信息,导致用户被劫持。
Severity
中
Patch Name
Xiao5uCompany建站系统存在XSS漏洞
Patch Description
已由CNVD通过软件生产厂商公开联系渠道向其邮件通报,由其后续提供解决方案并协调相关用户单位处置。
Formal description
厂商尚未提供漏洞修补方案,请关注厂商主页及时更新: http://www.xiao5u.com
Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-14527
Impacted products
| Name | 校无忧科技 校无忧企业网站系统 v1.7 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2018-14527"
}
},
"description": "\u6821\u65e0\u5fe7\u4f01\u4e1a\u7f51\u7ad9\u7cfb\u7edf\uff08Xiao5uCompany\uff09\u662f\u4e00\u5957\u9762\u5411\u516c\u53f8\u3001\u4f01\u4e1a\u7684\u5efa\u7ad9\u7cfb\u7edf\u3002\r\n\r\n\u6821\u65e0\u5fe7\u4f01\u4e1a\u7f51\u7ad9\u7cfb\u7edfv1.7\u5b58\u5728\u5b58\u50a8\u578b\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u9875\u9762\u4e2d\u63d2\u5165\u6076\u610fjs\u4ee3\u7801\uff0c\u83b7\u5f97\u7528\u6237cookie\u7b49\u4fe1\u606f\uff0c\u5bfc\u81f4\u7528\u6237\u88ab\u52ab\u6301\u3002",
"discovererName": "WhiteRabbit",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u8865\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttp://www.xiao5u.com",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-15497",
"openTime": "2018-09-09",
"patchDescription": "\u5df2\u7531CNVD\u901a\u8fc7\u8f6f\u4ef6\u751f\u4ea7\u5382\u5546\u516c\u5f00\u8054\u7cfb\u6e20\u9053\u5411\u5176\u90ae\u4ef6\u901a\u62a5\uff0c\u7531\u5176\u540e\u7eed\u63d0\u4f9b\u89e3\u51b3\u65b9\u6848\u5e76\u534f\u8c03\u76f8\u5173\u7528\u6237\u5355\u4f4d\u5904\u7f6e\u3002",
"patchName": "Xiao5uCompany\u5efa\u7ad9\u7cfb\u7edf\u5b58\u5728XSS\u6f0f\u6d1e",
"products": {
"product": "\u6821\u65e0\u5fe7\u79d1\u6280 \u6821\u65e0\u5fe7\u4f01\u4e1a\u7f51\u7ad9\u7cfb\u7edf v1.7"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-14527",
"serverity": "\u4e2d",
"submitTime": "2018-07-23",
"title": "\u6821\u65e0\u5fe7\u4f01\u4e1a\u7f51\u7ad9\u7cfb\u7edfv1.7\u5b58\u5728\u5b58\u50a8\u578b\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}
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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.