Vulnerability-Lookup

CNVD-2021-101150

Vulnerability from cnvd - Published: 2021-12-21

Title

Nvidia vGPU Software资源管理错误漏洞

Description

Nvidia vGPU Software是美国Nvidia公司的一个用于为虚拟机提供GPU功能的管理软件。该软件支持多个虚拟机访问主机的GPU，为虚拟机提供图形性能和应用程序兼容性。 NVIDIA vGPU software存在资源管理错误漏洞，攻击者可利用该漏洞执行影响完整性和可用性的任意代码。

Severity

低

Patch Name

Nvidia vGPU Software资源管理错误漏洞的补丁

Patch Description

Nvidia vGPU Software是美国Nvidia公司的一个用于为虚拟机提供GPU功能的管理软件。该软件支持多个虚拟机访问主机的GPU，为虚拟机提供图形性能和应用程序兼容性。 NVIDIA vGPU software存在资源管理错误漏洞，攻击者可利用该漏洞执行影响完整性和可用性的任意代码。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

厂商已发布了漏洞修复程序，请及时关注更新： https://nvidia.custhelp.com/app/answers/detail/a_id/5230

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-1119

Impacted products

Name
NVIDIA vGPU Software

Show details on source website

JSON

To clipboard

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  "number": "CNVD-2021-101150",
  "openTime": "2021-12-21",
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  "serverity": "\u4f4e",
  "submitTime": "2021-11-02",
  "title": "Nvidia vGPU Software\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2021-1119 (GCVE-0-2021-1119)

Vulnerability from cvelistv5 – Published: 2021-10-29 19:30 – Updated: 2024-08-03 15:55

Summary

NVIDIA vGPU software contains a vulnerability in the Virtual GPU Manager (vGPU plugin), where it can double-free a pointer, which may lead to denial of service. This flaw may result in a write-what-where condition, allowing an attacker to execute arbitrary code impacting integrity and availability.

Severity

7.1 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H

CWE

CWE-415 - Double Free

Assigner

nvidia mitre root

References

1 reference

URL	Tags
https://nvidia.custhelp.com/app/answers/detail/a_…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
NVIDIA	NVIDIA Virtual GPU Software	Affected: vGPU version 13.x (prior to 13.1), 12.x (prior to 12.4), version 11.x (prior to 11.6) and version 8.x (prior 8.9).

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.