CNVD-2024-41050
Vulnerability from cnvd - Published: 2024-10-17
VLAI
Title
October CMS跨站脚本漏洞
Description
October CMS是October CMS公司的一套基于PHP和Laravel Web应用程序框架的开源内容管理系统(CMS)。
October CMS 3.6.30版本存在跨站脚本漏洞。该漏洞源于应用对用户提供的数据缺乏有效过滤与转义,攻击者可利用该漏洞通过特制的JavaScript对目标执行任意代码。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://grimthereaperteam.medium.com/october-cms-3-6-30-stored-xss-ddf2be7a226e
Reference
https://nvd.nist.gov/vuln/detail/CVE-2024-45962
Impacted products
| Name | October CMS October CMS 3.6.30 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2024-45962",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-45962"
}
},
"description": "October CMS\u662fOctober CMS\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8ePHP\u548cLaravel Web\u5e94\u7528\u7a0b\u5e8f\u6846\u67b6\u7684\u5f00\u6e90\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\n\nOctober CMS 3.6.30\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684JavaScript\u5bf9\u76ee\u6807\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://grimthereaperteam.medium.com/october-cms-3-6-30-stored-xss-ddf2be7a226e",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2024-41050",
"openTime": "2024-10-17",
"products": {
"product": "October CMS October CMS 3.6.30"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-45962",
"serverity": "\u4e2d",
"submitTime": "2024-10-13",
"title": "October CMS\u8de8\u7ad9\u811a\u672c\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
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Vulnerability timeline
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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.