Vulnerability-Lookup

CNVD-2017-05374

Vulnerability from cnvd - Published: 2017-04-26

Title

Linux内核NVIDIA加密驱动程序提权漏洞（CNVD-2017-05374）

Description

Linux内核是一种计算机操作系统内核，以C语言和汇编语言写成，符合POSIX标准，按GNU通用公共许可证发行。 Linux内核NVIDIA加密驱动程序存在权限提升漏洞，使本地恶意应用程序可在内核上下文中执行任意代码。

Severity

高

Patch Name

Linux内核NVIDIA加密驱动程序提权漏洞（CNVD-2017-05374）的补丁

Patch Description

Linux内核是一种计算机操作系统内核，以C语言和汇编语言写成，符合POSIX标准，按GNU通用公共许可证发行。 Linux内核NVIDIA加密驱动程序存在权限提升漏洞，使本地恶意应用程序可在内核上下文中执行任意代码。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

厂商已发布漏洞修复程序，请及时关注更新： https://source.android.com/security/bulletin/2017-04-01

Reference

https://source.android.com/security/bulletin/2017-04-01 https://nvd.nist.gov/vuln/detail/CVE-2017-0327 http://www.securityfocus.com/bid/97333

Impacted products

Name
['Google Android 0', 'Google Nexus 9', 'Linux Linux Kernel 3.10']

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "97333"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-0327"
    }
  },
  "description": "Linux\u5185\u6838\u662f\u4e00\u79cd\u8ba1\u7b97\u673a\u64cd\u4f5c\u7cfb\u7edf\u5185\u6838\uff0c\u4ee5C\u8bed\u8a00\u548c\u6c47\u7f16\u8bed\u8a00\u5199\u6210\uff0c\u7b26\u5408POSIX\u6807\u51c6\uff0c\u6309GNU\u901a\u7528\u516c\u5171\u8bb8\u53ef\u8bc1\u53d1\u884c\u3002\r\n\r\nLinux\u5185\u6838NVIDIA\u52a0\u5bc6\u9a71\u52a8\u7a0b\u5e8f\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff0c\u4f7f\u672c\u5730\u6076\u610f\u5e94\u7528\u7a0b\u5e8f\u53ef\u5728\u5185\u6838\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Scott Bauer (@ScottyBauer1), Gengjia Chen (@chengjia4574) and pjf of IceSword Lab, Qihoo 360 Technology Co. Ltd, and Mike Anderson (@manderbot) and Nathan Crandall (@natecray) of Tesla\u0027s Product Security Team: C",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://source.android.com/security/bulletin/2017-04-01",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-05374",
  "openTime": "2017-04-26",
  "patchDescription": "Linux\u5185\u6838\u662f\u4e00\u79cd\u8ba1\u7b97\u673a\u64cd\u4f5c\u7cfb\u7edf\u5185\u6838\uff0c\u4ee5C\u8bed\u8a00\u548c\u6c47\u7f16\u8bed\u8a00\u5199\u6210\uff0c\u7b26\u5408POSIX\u6807\u51c6\uff0c\u6309GNU\u901a\u7528\u516c\u5171\u8bb8\u53ef\u8bc1\u53d1\u884c\u3002\r\n\r\nLinux\u5185\u6838NVIDIA\u52a0\u5bc6\u9a71\u52a8\u7a0b\u5e8f\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\uff0c\u4f7f\u672c\u5730\u6076\u610f\u5e94\u7528\u7a0b\u5e8f\u53ef\u5728\u5185\u6838\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "Linux\u5185\u6838NVIDIA\u52a0\u5bc6\u9a71\u52a8\u7a0b\u5e8f\u63d0\u6743\u6f0f\u6d1e\uff08CNVD-2017-05374\uff09\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Google Android 0",
      "Google Nexus 9",
      "Linux Linux Kernel 3.10"
    ]
  },
  "referenceLink": "https://source.android.com/security/bulletin/2017-04-01\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-0327\r\nhttp://www.securityfocus.com/bid/97333",
  "serverity": "\u9ad8",
  "submitTime": "2017-04-11",
  "title": "Linux\u5185\u6838NVIDIA\u52a0\u5bc6\u9a71\u52a8\u7a0b\u5e8f\u63d0\u6743\u6f0f\u6d1e\uff08CNVD-2017-05374\uff09"
}

CVE-2017-0327 (GCVE-0-2017-0327)

Vulnerability from cvelistv5 – Published: 2017-04-05 14:00 – Updated: 2024-08-05 13:03

Summary

An elevation of privilege vulnerability in the NVIDIA crypto driver could enable a local malicious application to execute arbitrary code within the context of the kernel. This issue is rated as High because it first requires compromising a privileged process. Product: Android. Versions: Kernel 3.10. Android ID: A-33893669. References: N-CVE-2017-0327.

Severity

No CVSS data available.

CWE

Elevation of privilege

Assigner

nvidia mitre root

References

4 references

URL	Tags
http://www.securityfocus.com/bid/97333	vdb-entryx_refsource_BID
http://nvidia.custhelp.com/app/answers/detail/a_id/4561	x_refsource_CONFIRM
https://source.android.com/security/bulletin/2017…	x_refsource_CONFIRM
http://www.securitytracker.com/id/1038201	vdb-entryx_refsource_SECTRACK

Impacted products

1 product

Vendor	Product	Version
Nvidia Corporation	Android	Affected: Kernel-3.10

Date Public

2017-04-04 00:00

Show details on NVD website

JSON

To clipboard

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        }
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      "x_legacyV4Record": {
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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.