Vulnerability-Lookup

CNVD-2019-41387

Vulnerability from cnvd - Published: 2019-11-19

Title

NVIDIA GeForce Experience代码问题漏洞

Description

NVIDIA GeForce Experience是美国英伟达（NVIDIA）公司的一套显卡自动更新工具。该产品能够自动更新显卡驱动程序，并支持显卡性能管理和优化等。 NVIDIA GeForce Experience 3.20.1之前版本中存在代码问题漏洞，该漏洞源于程未能验证路径或签名，就直接加载Intel显卡驱动的DLLs，攻击者可利用该漏洞造成拒绝服务，泄露信息或提升权限。

Severity

中

Patch Name

NVIDIA GeForce Experience代码问题漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://nvidia.custhelp.com/app/answers/detail/a_id/4860

Reference

https://support.lenovo.com/us/en/product_security/LEN-29419

Impacted products

Name
NVIDIA GeForce Experience <3.20.1

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2019-5701"
    }
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-41387",
  "openTime": "2019-11-19",
  "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\u8be5\u4ea7\u54c1\u80fd\u591f\u81ea\u52a8\u66f4\u65b0\u663e\u5361\u9a71\u52a8\u7a0b\u5e8f\uff0c\u5e76\u652f\u6301\u663e\u5361\u6027\u80fd\u7ba1\u7406\u548c\u4f18\u5316\u7b49\u3002\r\n\r\nNVIDIA GeForce Experience 3.20.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u672a\u80fd\u9a8c\u8bc1\u8def\u5f84\u6216\u7b7e\u540d\uff0c\u5c31\u76f4\u63a5\u52a0\u8f7dIntel\u663e\u5361\u9a71\u52a8\u7684DLLs\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff0c\u6cc4\u9732\u4fe1\u606f\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",
  "patchName": "NVIDIA GeForce Experience\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "NVIDIA GeForce Experience \u003c3.20.1"
  },
  "referenceLink": "https://support.lenovo.com/us/en/product_security/LEN-29419",
  "serverity": "\u4e2d",
  "submitTime": "2019-11-11",
  "title": "NVIDIA GeForce Experience\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2019-5701 (GCVE-0-2019-5701)

Vulnerability from cvelistv5 – Published: 2019-11-09 01:48 – Updated: 2024-08-04 20:01

Summary

NVIDIA GeForce Experience, all versions prior to 3.20.0.118, contains a vulnerability when GameStream is enabled in which an attacker with local system access can load the Intel graphics driver DLLs without validating the path or signature (also known as a binary planting or DLL preloading attack), which may lead to denial of service, information disclosure, or escalation of privileges through code execution.

Severity

No CVSS data available.

CWE

denial of service, information disclosure, or escalation of privileges through code execution

Assigner

nvidia mitre root

References

2 references

URL	Tags
https://nvidia.custhelp.com/app/answers/detail/a_…	x_refsource_CONFIRM
https://github.com/active-labs/Advisories/blob/ma…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
NVIDIA	NVIDIA GeForce Experience	Affected: before 3.20.0.118

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-04T20:01:52.147Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            ],
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            ],
            "url": "https://github.com/active-labs/Advisories/blob/master/2019/ACTIVE-2019-011.md"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "NVIDIA GeForce Experience",
          "vendor": "NVIDIA",
          "versions": [
            {
              "status": "affected",
              "version": "before 3.20.0.118"
            }
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        }
      ],
      "problemTypes": [
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            {
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              "lang": "en",
              "type": "text"
            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2020-03-18T19:03:15.000Z",
        "orgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
        "shortName": "nvidia"
      },
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          ],
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        },
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          ],
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      ],
      "x_legacyV4Record": {
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          "ID": "CVE-2019-5701",
          "STATE": "PUBLIC"
        },
        "affects": {
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            },
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  "cveMetadata": {
    "assignerOrgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
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    "datePublished": "2019-11-09T01:48:50.000Z",
    "dateReserved": "2019-01-07T00:00:00.000Z",
    "dateUpdated": "2024-08-04T20:01:52.147Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.