GHSA-9G4V-54HX-CW68

Vulnerability from github – Published: 2026-05-06 12:30 – Updated: 2026-05-12 21:31
VLAI?
Details

In the Linux kernel, the following vulnerability has been resolved:

media: iris: Add missing platform data entries for SM8750

Two platform-data fields for SM8750 were missed:

  • get_vpu_buffer_size = iris_vpu33_buf_size Without this, the driver fails to allocate the required internal buffers, leading to basic decode/encode failures during session bring-up.

  • max_core_mbps = ((7680 * 4320) / 256) * 60 Without this capability exposed, capability checks are incomplete and v4l2-compliance for encoder fails.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-43235"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-06T12:16:43Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: iris: Add missing platform data entries for SM8750\n\nTwo platform-data fields for SM8750 were missed:\n\n  - get_vpu_buffer_size = iris_vpu33_buf_size\n    Without this, the driver fails to allocate the required internal\n    buffers, leading to basic decode/encode failures during session\n    bring-up.\n\n  - max_core_mbps = ((7680 * 4320) / 256) * 60\n    Without this capability exposed, capability checks are incomplete and\n    v4l2-compliance for encoder fails.",
  "id": "GHSA-9g4v-54hx-cw68",
  "modified": "2026-05-12T21:31:26Z",
  "published": "2026-05-06T12:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43235"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/1aa5833f29b88c16e9ad49a1782927754f3af742"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bbef55f414100853d5bcea56a41f8b171bac8fcb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c7b2105a1cad1737eb877cdb4865618927623dd4"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/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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Nomenclature

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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