CNVD-2025-16870
Vulnerability from cnvd - Published: 2025-07-21
VLAI
Title
Microsoft Azure Monitor代码注入漏洞
Description
Microsoft Azure Monitor是美国微软(Microsoft)公司的一种新式的可观测性工具,可以实现面向应用程序、基础结构和网络的端到端的监视功能。
Microsoft Azure Monitor存在安全漏洞。攻击者利用该漏洞可以远程执行代码。
Severity
中
Patch Name
Microsoft Azure Monitor代码注入漏洞的补丁
Patch Description
Microsoft Azure Monitor是美国微软(Microsoft)公司的一种新式的可观测性工具,可以实现面向应用程序、基础结构和网络的端到端的监视功能。
Microsoft Azure Monitor存在安全漏洞。攻击者利用该漏洞可以远程执行代码。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
厂商已发布了漏洞修复程序,请及时关注更新: https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-47988
Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-47988
Impacted products
| Name | Microsoft Azure Monitor |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2025-47988",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-47988"
}
},
"description": "Microsoft Azure Monitor\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u79cd\u65b0\u5f0f\u7684\u53ef\u89c2\u6d4b\u6027\u5de5\u5177\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9762\u5411\u5e94\u7528\u7a0b\u5e8f\u3001\u57fa\u7840\u7ed3\u6784\u548c\u7f51\u7edc\u7684\u7aef\u5230\u7aef\u7684\u76d1\u89c6\u529f\u80fd\u3002\n\nMicrosoft Azure Monitor\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\u3002",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-47988",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2025-16870",
"openTime": "2025-07-21",
"patchDescription": "Microsoft Azure Monitor\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u79cd\u65b0\u5f0f\u7684\u53ef\u89c2\u6d4b\u6027\u5de5\u5177\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9762\u5411\u5e94\u7528\u7a0b\u5e8f\u3001\u57fa\u7840\u7ed3\u6784\u548c\u7f51\u7edc\u7684\u7aef\u5230\u7aef\u7684\u76d1\u89c6\u529f\u80fd\u3002\r\n\r\nMicrosoft Azure Monitor\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\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": "Microsoft Azure Monitor\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Microsoft Azure Monitor"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-47988",
"serverity": "\u4e2d",
"submitTime": "2025-07-21",
"title": "Microsoft Azure Monitor\u4ee3\u7801\u6ce8\u5165\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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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.