Vulnerability-Lookup

CNVD-2017-28426

Vulnerability from cnvd - Published: 2017-09-27

Title

Google MediaTek GPU驱动程序权限提升漏洞

Description

Android是美国谷歌（Google）公司和开放手持设备联盟（简称OHA）共同开发的一套以Linux为基础的开源操作系统。MediaTek GPU driver是其中的一个联发科（MediaTek）公司开发的图形处理器驱动程序。 Android中的MediaTek GPU驱动程序存在权限提升漏洞。远程攻击者可利用该漏洞以提升的权限执行任意代码。

Severity

中

Patch Name

Google MediaTek GPU驱动程序权限提升漏洞的补丁

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： https://source.android.com/security/bulletin/2017-08-01

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-0741 http://www.securityfocus.com/bid/100209

Impacted products

Name
Google Android

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "100209"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-0741"
    }
  },
  "description": "Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002MediaTek GPU driver\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u8054\u53d1\u79d1\uff08MediaTek\uff09\u516c\u53f8\u5f00\u53d1\u7684\u56fe\u5f62\u5904\u7406\u5668\u9a71\u52a8\u7a0b\u5e8f\u3002\r\n\r\nAndroid\u4e2d\u7684MediaTek GPU\u9a71\u52a8\u7a0b\u5e8f\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u63d0\u5347\u7684\u6743\u9650\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Baozeng Ding (@sploving), Chengming Yang, and Yang Song of Alibaba Mobile Security Group.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://source.android.com/security/bulletin/2017-08-01",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-28426",
  "openTime": "2017-09-27",
  "patchDescription": "Android\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u548c\u5f00\u653e\u624b\u6301\u8bbe\u5907\u8054\u76df\uff08\u7b80\u79f0OHA\uff09\u5171\u540c\u5f00\u53d1\u7684\u4e00\u5957\u4ee5Linux\u4e3a\u57fa\u7840\u7684\u5f00\u6e90\u64cd\u4f5c\u7cfb\u7edf\u3002MediaTek GPU driver\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u8054\u53d1\u79d1\uff08MediaTek\uff09\u516c\u53f8\u5f00\u53d1\u7684\u56fe\u5f62\u5904\u7406\u5668\u9a71\u52a8\u7a0b\u5e8f\u3002\r\n\r\nAndroid\u4e2d\u7684MediaTek GPU\u9a71\u52a8\u7a0b\u5e8f\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u63d0\u5347\u7684\u6743\u9650\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": "Google MediaTek GPU\u9a71\u52a8\u7a0b\u5e8f\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Google Android"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-0741\r\nhttp://www.securityfocus.com/bid/100209",
  "serverity": "\u4e2d",
  "submitTime": "2017-08-10",
  "title": "Google MediaTek GPU\u9a71\u52a8\u7a0b\u5e8f\u6743\u9650\u63d0\u5347\u6f0f\u6d1e"
}

CVE-2017-0741 (GCVE-0-2017-0741)

Vulnerability from cvelistv5 – Published: 2017-08-09 21:00 – Updated: 2024-09-17 01:26

Summary

A elevation of privilege vulnerability in the MediaTek gpu driver. Product: Android. Versions: Android kernel. Android ID: A-32458601. References: M-ALPS03007523.

Severity

No CVSS data available.

CWE

Elevation of privilege

Assigner

google_android Google root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/100209	vdb-entryx_refsource_BID
https://source.android.com/security/bulletin/2017-08-01	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Google Inc.	Android	Affected: Android kernel

Date Public

2017-08-07 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-05T13:18:06.211Z",
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            "url": "https://source.android.com/security/bulletin/2017-08-01"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "Google Inc.",
          "versions": [
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            }
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        "dateUpdated": "2017-08-10T09:57:01.000Z",
        "orgId": "baff130e-b8d5-4e15-b3d3-c3cf5d5545c6",
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      },
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          "url": "https://source.android.com/security/bulletin/2017-08-01"
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      ],
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        },
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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.