Vulnerability-Lookup

CNVD-2018-09152

Vulnerability from cnvd - Published: 2018-05-09

Title

GPU memory模块安全绕过漏洞

Description

GPU（Graphics Processing Unit，图形处理器）memory modules是一个GPU内存模块。 GPU memory模块中存在安全漏洞。攻击者可通过使用JavaScript WebGL API利用该漏洞绕过安全限制，执行未授权的操作。

Severity

中

Patch Name

GPU memory模块安全绕过漏洞的补丁

Patch Description

GPU（Graphics Processing Unit，图形处理器）memory modules是一个GPU内存模块。 GPU memory模块中存在安全漏洞。攻击者可通过使用JavaScript WebGL API利用该漏洞绕过安全限制，执行未授权的操作。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

目前部分厂商已发布升级补丁以修复漏洞，详情请关注参考链接： https://www.kb.cert.org/vuls/id/283803

Reference

http://www.securityfocus.com/bid/104084

Impacted products

Name
['Mozilla Firefox', 'Google Chrome', 'Google Android']

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10229"
    }
  },
  "description": "GPU\uff08Graphics Processing Unit\uff0c\u56fe\u5f62\u5904\u7406\u5668\uff09memory modules\u662f\u4e00\u4e2aGPU\u5185\u5b58\u6a21\u5757\u3002\r\n\r\nGPU memory\u6a21\u5757\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f7f\u7528JavaScript WebGL API\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u672a\u6388\u6743\u7684\u64cd\u4f5c\u3002",
  "discovererName": "Pietro Frigo, Cristiano Giuffrida, Herbert Bos, and Kaveh Razavi of the Vrije Universiteit Amsterdam.",
  "formalWay": "\u76ee\u524d\u90e8\u5206\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u53c2\u8003\u94fe\u63a5\uff1a\r\nhttps://www.kb.cert.org/vuls/id/283803",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-09152",
  "openTime": "2018-05-09",
  "patchDescription": "GPU\uff08Graphics Processing Unit\uff0c\u56fe\u5f62\u5904\u7406\u5668\uff09memory modules\u662f\u4e00\u4e2aGPU\u5185\u5b58\u6a21\u5757\u3002\r\n\r\nGPU memory\u6a21\u5757\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u4f7f\u7528JavaScript WebGL API\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u672a\u6388\u6743\u7684\u64cd\u4f5c\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": "GPU memory\u6a21\u5757\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Mozilla Firefox",
      "Google Chrome",
      "Google Android"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/104084",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-08",
  "title": "GPU memory\u6a21\u5757\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2018-10229 (GCVE-0-2018-10229)

Vulnerability from cvelistv5 – Published: 2018-05-04 20:00 – Updated: 2024-08-05 07:32

Summary

A hardware vulnerability in GPU memory modules allows attackers to accelerate micro-architectural attacks through the use of the JavaScript WebGL API.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/104084	vdb-entryx_refsource_BID
https://www.vusec.net/wp-content/uploads/2018/05/…	x_refsource_MISC
https://www.kb.cert.org/vuls/id/283803	third-party-advisoryx_refsource_CERT-VN

Date Public

2018-05-03 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.