Vulnerability-Lookup

CNVD-2017-30723

Vulnerability from cnvd - Published: 2017-10-20

Title

NVIDIA GPU Display Driver拒绝服务漏洞（CNVD-2017-30723）

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 for DxgkDdiCreateAllocation是其中的一个DxgkDdiEscape的内核模式层处理程序。 NVIDIA Windows GPU Display Driver中的kernel mode layer handler for DxgkDdiCreateAllocation存在安全漏洞，该漏洞源于程序在未能验证不可信用户的输入的情况下，将其用作因子。攻击者可利用该漏洞造成拒绝服务（除零错误）。

Severity

中

Patch Name

NVIDIA GPU Display Driver拒绝服务漏洞（CNVD-2017-30723）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-2017-6271

Impacted products

Name
NVIDIA GPU_Driver

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "101001"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-6271"
    }
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  "discovererName": "Enrique Nissim of IOActive",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30723",
  "openTime": "2017-10-20",
  "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\u3002kernel mode layer handler for DxgkDdiCreateAllocation\u662f\u5176\u4e2d\u7684\u4e00\u4e2aDxgkDdiEscape\u7684\u5185\u6838\u6a21\u5f0f\u5c42\u5904\u7406\u7a0b\u5e8f\u3002\r\n\r\nNVIDIA Windows GPU Display Driver\u4e2d\u7684kernel mode layer handler for DxgkDdiCreateAllocation\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5728\u672a\u80fd\u9a8c\u8bc1\u4e0d\u53ef\u4fe1\u7528\u6237\u7684\u8f93\u5165\u7684\u60c5\u51b5\u4e0b\uff0c\u5c06\u5176\u7528\u4f5c\u56e0\u5b50\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u9664\u96f6\u9519\u8bef\uff09\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 GPU Display Driver\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-30723\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "NVIDIA GPU_Driver"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-6271",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-25",
  "title": "NVIDIA GPU Display Driver\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2017-30723\uff09"
}

CVE-2017-6271 (GCVE-0-2017-6271)

Vulnerability from cvelistv5 – Published: 2017-09-22 17:00 – Updated: 2024-09-16 23:01

Summary

NVIDIA Windows GPU Display Driver contains a vulnerability in the kernel mode layer handler for DxgkDdiCreateAllocation where untrusted user input is used as a divisor without validation while processing block linear information which may lead to a potential divide by zero and denial of service.

Severity

No CVSS data available.

CWE

Denial of Service

Assigner

nvidia mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/101001	vdb-entryx_refsource_BID
http://nvidia.custhelp.com/app/answers/detail/a_id/4544	x_refsource_CONFIRM

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.