CNVD-2026-41538
Vulnerability from cnvd - Published: 2026-10-21
VLAI
Title
Online Medicine Delivery System文件上传漏洞
Description
Online Medicine Delivery System是itsourcecode公司的一款提供在线药品订购与配送服务的平台。
Online Medicine Delivery System存在文件上传漏洞,该漏洞源于Order Management Controller组件中文件/rider/orders/controller.php?action=add的doInsert函数对image参数未对用户上传文件进行严格校验或过滤不严,目前没有详细的漏洞细节提供。
Severity
高
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://itsourcecode.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2026-85208
Impacted products
| Name | Online Medicine Delivery System Online Medicine Delivery System 1.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2026-85208",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-85208"
}
},
"description": "Online Medicine Delivery System\u662fitsourcecode\u516c\u53f8\u7684\u4e00\u6b3e\u63d0\u4f9b\u5728\u7ebf\u836f\u54c1\u8ba2\u8d2d\u4e0e\u914d\u9001\u670d\u52a1\u7684\u5e73\u53f0\u3002\n\nOnline Medicine Delivery System\u5b58\u5728\u6587\u4ef6\u4e0a\u4f20\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eOrder Management Controller\u7ec4\u4ef6\u4e2d\u6587\u4ef6/rider/orders/controller.php?action=add\u7684doInsert\u51fd\u6570\u5bf9image\u53c2\u6570\u672a\u5bf9\u7528\u6237\u4e0a\u4f20\u6587\u4ef6\u8fdb\u884c\u4e25\u683c\u6821\u9a8c\u6216\u8fc7\u6ee4\u4e0d\u4e25\uff0c\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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://itsourcecode.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-41538",
"openTime": "2026-10-21",
"products": {
"product": "Online Medicine Delivery System Online Medicine Delivery System 1.0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2026-85208",
"serverity": "\u9ad8",
"submitTime": "2026-09-16",
"title": "Online Medicine Delivery System\u6587\u4ef6\u4e0a\u4f20\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
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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.