Vulnerability-Lookup

CNVD-2017-26302

Vulnerability from cnvd - Published: 2017-09-12

Title

NVIDIA Windows GPU Display Driver权限提升漏洞（CNVD-2017-26302）

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。kernel mode layer handler是其中的一个内核模式层处理程序。 NVIDIA Windows GPU Display Driver中的kernel mode layer handler存在安全漏洞，该漏洞源于程序缺少权限检测。攻击者可利用该漏洞获取任意物理系统内存的访问权限，提升权限。

Severity

高

Patch Name

NVIDIA Windows GPU Display Driver权限提升漏洞（CNVD-2017-26302）的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： http://nvidia.custhelp.com/app/answers/detail/a_id/4525

Reference

http://nvidia.custhelp.com/app/answers/detail/a_id/4525

Impacted products

Name
NVIDIA Windows GPU Display Driver

Show details on source website

JSON

To clipboard

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  "serverity": "\u9ad8",
  "submitTime": "2017-08-02",
  "title": "NVIDIA Windows GPU Display Driver\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff08CNVD-2017-26302\uff09"
}

CVE-2017-6251 (GCVE-0-2017-6251)

Vulnerability from cvelistv5 – Published: 2017-07-28 19:00 – Updated: 2024-09-17 03:27

Summary

NVIDIA Windows GPU Display Driver contains a vulnerability in the kernel mode layer handler where a missing permissions check may allow users to gain access to arbitrary physical system memory, which may lead to an escalation of privileges.

Severity

No CVSS data available.

CWE

Escalation of Privileges

Assigner

nvidia mitre root

References

1 reference

URL	Tags
http://nvidia.custhelp.com/app/answers/detail/a_id/4525	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Nvidia Corporation	NVIDIA Windows GPU Display Driver	Affected: All

Date Public

2017-07-27 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.