CNVD-2018-21220
Vulnerability from cnvd - Published: 2018-10-18
VLAI
Title
Microsoft Azure IoT Device Client SDK远程内存破坏漏洞
Description
Microsoft C SDK for Azure IoT是美国微软(Microsoft)公司的一款基于C语言的,用于开发Azure IoT(物联网平台)应用程序的软件开发工具包。
Microsoft Azure IoT Device Client SDK存在远程内存破坏漏洞。攻击者可以利用此漏洞在当前登录用户的上下文中执行任意代码。失败的攻击将导致拒绝服务条件。
Severity
高
Patch Name
Microsoft Azure IoT Device Client SDK远程内存破坏漏洞的补丁
Patch Description
Microsoft C SDK for Azure IoT是美国微软(Microsoft)公司的一款基于C语言的,用于开发Azure IoT(物联网平台)应用程序的软件开发工具包。
Microsoft Azure IoT Device Client SDK存在远程内存破坏漏洞。攻击者可以利用此漏洞在当前登录用户的上下文中执行任意代码。失败的攻击将导致拒绝服务条件。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
目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://portal.msrc.microsoft.com/zh-CN/security-guidance/advisory/CVE-2018-8531
Reference
https://www.securityfocus.com/bid/105472
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-8531
Impacted products
| Name | Microsoft Hub Device Client SDK for Azure IoT 0 |
|---|
{
"bids": {
"bid": {
"bidNumber": "105472"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2018-8531"
}
},
"description": "Microsoft C SDK for Azure IoT\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u57fa\u4e8eC\u8bed\u8a00\u7684\uff0c\u7528\u4e8e\u5f00\u53d1Azure IoT\uff08\u7269\u8054\u7f51\u5e73\u53f0\uff09\u5e94\u7528\u7a0b\u5e8f\u7684\u8f6f\u4ef6\u5f00\u53d1\u5de5\u5177\u5305\u3002\r\n\r\nMicrosoft Azure IoT Device Client SDK\u5b58\u5728\u8fdc\u7a0b\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u5728\u5f53\u524d\u767b\u5f55\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u5931\u8d25\u7684\u653b\u51fb\u5c06\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\u3002",
"discovererName": "Cristian Pop of Azure IoT",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://portal.msrc.microsoft.com/zh-CN/security-guidance/advisory/CVE-2018-8531",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-21220",
"openTime": "2018-10-18",
"patchDescription": "Microsoft C SDK for Azure IoT\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u57fa\u4e8eC\u8bed\u8a00\u7684\uff0c\u7528\u4e8e\u5f00\u53d1Azure IoT\uff08\u7269\u8054\u7f51\u5e73\u53f0\uff09\u5e94\u7528\u7a0b\u5e8f\u7684\u8f6f\u4ef6\u5f00\u53d1\u5de5\u5177\u5305\u3002\r\n\r\nMicrosoft Azure IoT Device Client SDK\u5b58\u5728\u8fdc\u7a0b\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u6b64\u6f0f\u6d1e\u5728\u5f53\u524d\u767b\u5f55\u7528\u6237\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u5931\u8d25\u7684\u653b\u51fb\u5c06\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\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 IoT Device Client SDK\u8fdc\u7a0b\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Microsoft Hub Device Client SDK for Azure IoT 0"
},
"referenceLink": "https://www.securityfocus.com/bid/105472\r\nhttps://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-8531",
"serverity": "\u9ad8",
"submitTime": "2018-10-10",
"title": "Microsoft Azure IoT Device Client SDK\u8fdc\u7a0b\u5185\u5b58\u7834\u574f\u6f0f\u6d1e"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.