Vulnerability-Lookup

CNVD-2016-10533

Vulnerability from cnvd - Published: 2016-11-02

Title

NVIDIA GeForce Experience栈缓冲区溢出漏洞

Description

NVIDIA GeForce Experience是美国英伟达（NVIDIA）公司的一套显卡自动更新工具。 NVIDIA GeForce Experience中存在栈缓冲区溢出漏洞。攻击者可借助可执行的路径利用该漏洞造成拒绝服务或提升权限。

Severity

高

Patch Name

NVIDIA GeForce Experience栈缓冲区溢出漏洞的补丁

Patch Description

NVIDIA GeForce Experience是美国英伟达（NVIDIA）公司的一套显卡自动更新工具。 NVIDIA GeForce Experience中存在栈缓冲区溢出漏洞。攻击者可借助可执行的路径利用该漏洞造成拒绝服务或提升权限。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

用户可参考如下厂商提供的安全补丁以修复该漏洞： http://www.nvidia.com/object/product-security.html

Reference

http://www.securityfocus.com/bid/93986/info

Impacted products

Name
NVIDIA GeForce Experience

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "93986"
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    "cve": {
      "cveNumber": "CVE-2016-8812"
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  "discovererName": "Oliver Chang, working with Google Project Zero.",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10533",
  "openTime": "2016-11-02",
  "patchDescription": "NVIDIA GeForce Experience\u662f\u7f8e\u56fd\u82f1\u4f1f\u8fbe\uff08NVIDIA\uff09\u516c\u53f8\u7684\u4e00\u5957\u663e\u5361\u81ea\u52a8\u66f4\u65b0\u5de5\u5177\u3002\r\n\r\nNVIDIA GeForce Experience\u4e2d\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u53ef\u6267\u884c\u7684\u8def\u5f84\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",
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  "products": {
    "product": "NVIDIA GeForce Experience"
  },
  "referenceLink": "http://www.securityfocus.com/bid/93986/info",
  "serverity": "\u9ad8",
  "submitTime": "2016-11-01",
  "title": "NVIDIA GeForce Experience\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2016-8812 (GCVE-0-2016-8812)

Vulnerability from cvelistv5 – Published: 2016-11-08 20:37 – Updated: 2024-08-06 02:35

Summary

For the NVIDIA Quadro, NVS, and GeForce products, NVIDIA GeForce Experience R340 before GFE 2.11.4.125 and R375 before GFE 3.1.0.52 contains a vulnerability in the kernel mode layer (nvstreamkms.sys) allowing a user to cause a stack buffer overflow with specially crafted executable paths, leading to a denial of service or escalation of privileges.

Severity

No CVSS data available.

CWE

Denial of Service

Assigner

nvidia mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/93986	vdb-entryx_refsource_BID
https://www.exploit-db.com/exploits/40660/	exploitx_refsource_EXPLOIT-DB
http://nvidia.custhelp.com/app/answers/detail/a_id/4247	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
n/a	Quadro, NVS, and GeForce (all versions)	Affected: Quadro, NVS, and GeForce (all versions)

Date Public

2016-11-08 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.