Vulnerability-Lookup

CNVD-2017-07439

Vulnerability from cnvd - Published: 2017-05-25

Title

NVIDIA Windows GPU Display Driver本地权限提升漏洞（CNVD-2017-07439）

Description

NVIDIA Windows GPU Display Driver是美国英伟达（NVIDIA）公司的一套专用于Windows的图形处理器(GPU)显卡驱动程序。 NVIDIA Windows GPU Display Driver中的kernel mode layer (nvlddmkm.sys) handler存在本地权限提升漏洞漏洞。攻击者可利用该漏洞造成拒绝服务或提升权限。

Severity

高

Patch Name

NVIDIA Windows GPU Display Driver本地权限提升漏洞（CNVD-2017-07439）的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： http://nvidia.custhelp.com/app/answers/detail/a_id/4462

Reference

http://nvidia.custhelp.com/app/answers/detail/a_id/4462

Impacted products

Name
NVIDIA Windows GPU Display Driver

Show details on source website

JSON

To clipboard

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  "number": "CNVD-2017-07439",
  "openTime": "2017-05-25",
  "patchDescription": "NVIDIA Windows GPU Display Driver\u662f\u7f8e\u56fd\u82f1\u4f1f\u8fbe\uff08NVIDIA\uff09\u516c\u53f8\u7684\u4e00\u5957\u4e13\u7528\u4e8eWindows\u7684\u56fe\u5f62\u5904\u7406\u5668(GPU)\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f\u3002\r\n\r\nNVIDIA Windows GPU Display Driver\u4e2d\u7684kernel mode layer (nvlddmkm.sys) handler\u5b58\u5728\u672c\u5730\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u63d0\u5347\u6743\u9650\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": "NVIDIA Windows GPU Display Driver\u672c\u5730\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff08CNVD-2017-07439\uff09\u7684\u8865\u4e01",
  "products": {
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  "referenceLink": "http://nvidia.custhelp.com/app/answers/detail/a_id/4462",
  "serverity": "\u9ad8",
  "submitTime": "2017-05-11",
  "title": "NVIDIA Windows GPU Display Driver\u672c\u5730\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff08CNVD-2017-07439\uff09"
}

CVE-2017-0342 (GCVE-0-2017-0342)

Vulnerability from cvelistv5 – Published: 2017-05-09 21:00 – Updated: 2024-08-05 13:03

Summary

All versions of the NVIDIA Windows GPU Display Driver contain a vulnerability in the kernel mode layer (nvlddmkm.sys) handler where incorrect calculation may cause an invalid address access leading to denial of service or potential escalation of privileges.

Severity

No CVSS data available.

CWE

Denial of Service, Escalation of Privileges

Assigner

nvidia mitre root

References

1 reference

URL	Tags
http://nvidia.custhelp.com/app/answers/detail/a_id/4462	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Nvidia Corporation	GPU Display Driver	Affected: All versions

Date Public

2017-05-09 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.