GHSA-GF9M-FV4F-59CP

Vulnerability from github – Published: 2022-05-17 03:56 – Updated: 2022-05-17 03:56
VLAI
Details

The Video0 driver in Huawei P8 smartphones with software GRA-UL00 before GRA-UL00C00B350, GRA-UL10 before GRA-UL10C00B350, GRA-TL00 before GRA-TL00C01B350, GRA-CL00 before GRA-CL00C92B350, and GRA-CL10 before GRA-CL10C92B350 and Mate S smartphones with software CRR-TL00 before CRR-TL00C01B160SP01, CRR-UL00 before CRR-UL00C00B160, and CRR-CL00 before CRR-CL00C92B161 allows attackers to obtain sensitive information from stack memory or cause a denial of service (system crash) via a crafted application, which triggers an invalid memory access.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2015-8682"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2016-04-13T14:59:00Z",
    "severity": "HIGH"
  },
  "details": "The Video0 driver in Huawei P8 smartphones with software GRA-UL00 before GRA-UL00C00B350, GRA-UL10 before GRA-UL10C00B350, GRA-TL00 before GRA-TL00C01B350, GRA-CL00 before GRA-CL00C92B350, and GRA-CL10 before GRA-CL10C92B350 and Mate S smartphones with software CRR-TL00 before CRR-TL00C01B160SP01, CRR-UL00 before CRR-UL00C00B160, and CRR-CL00 before CRR-CL00C92B161 allows attackers to obtain sensitive information from stack memory or cause a denial of service (system crash) via a crafted application, which triggers an invalid memory access.",
  "id": "GHSA-gf9m-fv4f-59cp",
  "modified": "2022-05-17T03:56:53Z",
  "published": "2022-05-17T03:56:53Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2015-8682"
    },
    {
      "type": "WEB",
      "url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20160130-01-smartphone-en"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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Related by attack behaviour

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