Vulnerability-Lookup

CNVD-2017-30719

Vulnerability from cnvd - Published: 2017-10-20

Title

NVIDIA GPU Display Driver拒绝服务漏洞（CNVD-2017-30719）

Description

NVIDIA GPU Display Driver是美国英伟达（NVIDIA）公司的一款图形处理器(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 GPU Display Driver中的kernel mode layer handler存在安全漏洞，该漏洞源于程序未能正确的初始化内部对象。攻击者可利用该漏洞造成拒绝服务（无限循环）。

Severity

中

Patch Name

NVIDIA GPU Display Driver拒绝服务漏洞（CNVD-2017-30719）的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： http://nvidia.custhelp.com/app/answers/detail/a_id/4544

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-6267

Impacted products

Name
NVIDIA GPU_Driver

Show details on source website

JSON

To clipboard

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  "number": "CNVD-2017-30719",
  "openTime": "2017-10-20",
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  "patchName": "NVIDIA GPU Display Driver\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-30719\uff09\u7684\u8865\u4e01",
  "products": {
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-6267",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-25",
  "title": "NVIDIA GPU Display Driver\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-30719\uff09"
}

CVE-2017-6267 (GCVE-0-2017-6267)

Vulnerability from cvelistv5 – Published: 2017-09-22 17:00 – Updated: 2024-09-16 16:22

Summary

NVIDIA GPU Display Driver contains a vulnerability in the kernel mode layer handler where an incorrect initialization of internal objects can cause an infinite loop which may lead to a denial of service.

Severity

No CVSS data available.

CWE

Denial of Service

Assigner

nvidia mitre root

References

2 references

URL	Tags
http://nvidia.custhelp.com/app/answers/detail/a_id/4544	x_refsource_CONFIRM
http://www.securityfocus.com/bid/101025	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Nvidia Corporation	GPU Display Driver	Affected: All

Date Public

2017-09-21 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.