CNVD-2026-33052
Vulnerability from cnvd - Published: 2026-09-30
VLAI
Title
杭州海康威视数字技术股份有限公司iVMS-A100存在SQL注入漏洞
Description
iVMS-A100是一款综合性、集成化、专业性、统一性新一代报警视频复核综合管理平台。
杭州海康威视数字技术股份有限公司iVMS-A100存在SQL注入漏洞,攻击者可利用漏洞获取数据库敏感信息。
Severity
高
Patch Name
杭州海康威视数字技术股份有限公司iVMS-A100存在SQL注入漏洞的补丁
Patch Description
iVMS-A100是一款综合性、集成化、专业性、统一性新一代报警视频复核综合管理平台。
杭州海康威视数字技术股份有限公司iVMS-A100存在SQL注入漏洞,攻击者可利用漏洞获取数据库敏感信息。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description
厂商反馈新版本4.0.2已修复漏洞,请广大用户及时下载更新: https://www.hikvision.com/
Impacted products
| Name | 杭州海康威视数字技术股份有限公司 iVMS-A100 |
|---|
{
"description": "iVMS-A100\u662f\u4e00\u6b3e\u7efc\u5408\u6027\u3001\u96c6\u6210\u5316\u3001\u4e13\u4e1a\u6027\u3001\u7edf\u4e00\u6027\u65b0\u4e00\u4ee3\u62a5\u8b66\u89c6\u9891\u590d\u6838\u7efc\u5408\u7ba1\u7406\u5e73\u53f0\u3002\n\n\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8iVMS-A100\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\u5e93\u654f\u611f\u4fe1\u606f\u3002",
"discovererName": "shengjie",
"formalWay": "\u5382\u5546\u53cd\u9988\u65b0\u7248\u672c4.0.2\u5df2\u4fee\u590d\u6f0f\u6d1e\uff0c\u8bf7\u5e7f\u5927\u7528\u6237\u53ca\u65f6\u4e0b\u8f7d\u66f4\u65b0\uff1a\r\nhttps://www.hikvision.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-33052",
"openTime": "2026-09-30",
"patchDescription": "iVMS-A100\u662f\u4e00\u6b3e\u7efc\u5408\u6027\u3001\u96c6\u6210\u5316\u3001\u4e13\u4e1a\u6027\u3001\u7edf\u4e00\u6027\u65b0\u4e00\u4ee3\u62a5\u8b66\u89c6\u9891\u590d\u6838\u7efc\u5408\u7ba1\u7406\u5e73\u53f0\u3002\r\n\r\n\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8iVMS-A100\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\u5e93\u654f\u611f\u4fe1\u606f\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
"patchName": "\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8iVMS-A100\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8 iVMS-A100"
},
"serverity": "\u9ad8",
"submitTime": "2026-08-16",
"title": "\u676d\u5dde\u6d77\u5eb7\u5a01\u89c6\u6570\u5b57\u6280\u672f\u80a1\u4efd\u6709\u9650\u516c\u53f8iVMS-A100\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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