GHSA-954M-592C-4VPC

Vulnerability from github – Published: 2026-07-19 18:31 – Updated: 2026-07-19 18:31
VLAI
Details

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

fwctl: pds: Validate RPC input size before parsing

The fwctl core allocates the device-specific RPC input buffer with fwctl_rpc.in_len and passes that buffer to the driver callback.

pdsfc_fw_rpc() casts the buffer to struct fwctl_rpc_pds and then calls pdsfc_validate_rpc(), which reads fields from that structure before checking that the input buffer is large enough to contain it. A short in_len can make pds_fwctl read beyond the allocation.

Reject pds RPC buffers that are smaller than struct fwctl_rpc_pds before parsing any pds-specific fields.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-64101"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-19T16:17:51Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfwctl: pds: Validate RPC input size before parsing\n\nThe fwctl core allocates the device-specific RPC input buffer with\nfwctl_rpc.in_len and passes that buffer to the driver callback.\n\npdsfc_fw_rpc() casts the buffer to struct fwctl_rpc_pds and then calls\npdsfc_validate_rpc(), which reads fields from that structure before\nchecking that the input buffer is large enough to contain it. A short\nin_len can make pds_fwctl read beyond the allocation.\n\nReject pds RPC buffers that are smaller than struct fwctl_rpc_pds before\nparsing any pds-specific fields.",
  "id": "GHSA-954m-592c-4vpc",
  "modified": "2026-07-19T18:31:52Z",
  "published": "2026-07-19T18:31:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64101"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0d470d36551058e3f728574308b815a80bca710f"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/9e3f18883a98420a3b8873c6f894bc57e9b98e41"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e7537735028c3ad4b0bfc02ff8fa2a1a28aa04fe"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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.

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