CNVD-2016-12910
Vulnerability from cnvd - Published: 2016-12-23
VLAI
Title
NVIDIA Windows GPU Display Driver本地权限提升漏洞(CNVD-2016-12910)
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。
NVIDIA Windows GPU Display Driver所有版本中的DxgDdiEscape ID 0x600000E,0x600000F和0x6000010的kernel mode layer(nvlddmkm.sys)处理器存在安全漏洞,该漏洞源于程序未能验证用户传递到处理器的值。攻击者可利用该漏洞造成拒绝服务或获取提升的权限。
Severity
高
Patch Name
NVIDIA Windows GPU Display Driver本地权限提升漏洞(CNVD-2016-12910)的补丁
Patch 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。
NVIDIA Windows GPU Display Driver所有版本中的DxgDdiEscape ID 0x600000E,0x600000F和0x6000010的kernel mode layer(nvlddmkm.sys)处理器存在安全漏洞,该漏洞源于程序未能验证用户传递到处理器的值。攻击者可利用该漏洞造成拒绝服务或获取提升的权限。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
目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: http://nvidia.custhelp.com/app/answers/detail/a_id/4278
Reference
http://nvidia.custhelp.com/app/answers/detail/a_id/4278
Impacted products
| Name | NVIDIA Windows GPU Display Driver |
|---|
{
"bids": {
"bid": {
"bidNumber": "95014"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-8822"
}
},
"description": "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\u3002\r\n\r\nNVIDIA Windows GPU Display Driver\u6240\u6709\u7248\u672c\u4e2d\u7684DxgDdiEscape ID 0x600000E\uff0c0x600000F\u548c0x6000010\u7684kernel mode layer\uff08nvlddmkm.sys\uff09\u5904\u7406\u5668\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1\u7528\u6237\u4f20\u9012\u5230\u5904\u7406\u5668\u7684\u503c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u83b7\u53d6\u63d0\u5347\u7684\u6743\u9650\u3002",
"discovererName": "NVIDIA",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttp://nvidia.custhelp.com/app/answers/detail/a_id/4278",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-12910",
"openTime": "2016-12-23",
"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\u3002\r\n\r\nNVIDIA Windows GPU Display Driver\u6240\u6709\u7248\u672c\u4e2d\u7684DxgDdiEscape ID 0x600000E\uff0c0x600000F\u548c0x6000010\u7684kernel mode layer\uff08nvlddmkm.sys\uff09\u5904\u7406\u5668\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1\u7528\u6237\u4f20\u9012\u5230\u5904\u7406\u5668\u7684\u503c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u6216\u83b7\u53d6\u63d0\u5347\u7684\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",
"patchName": "NVIDIA Windows GPU Display Driver\u672c\u5730\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff08CNVD-2016-12910\uff09\u7684\u8865\u4e01",
"products": {
"product": "NVIDIA Windows GPU Display Driver"
},
"referenceLink": "http://nvidia.custhelp.com/app/answers/detail/a_id/4278",
"serverity": "\u9ad8",
"submitTime": "2016-12-20",
"title": "NVIDIA Windows GPU Display Driver\u672c\u5730\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff08CNVD-2016-12910\uff09"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
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.
Loading…
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.