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GHSA-8WVC-JP6J-85P4

Vulnerability from github – Published: 2026-09-17 18:32 – Updated: 2026-09-17 18:32
VLAI
Details

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

bpf: Require a BPF cpumask for bpf_cpumask_populate()

bpf_cpumask_populate() writes to its destination with bitmap_copy(), but the destination is typed as struct cpumask *. That allows the verifier to accept borrowed cpumask pointers returned by read-only kfuncs, such as scx_bpf_get_online_cpumask(), as a writable destination.

Make the destination a struct bpf_cpumask * so populate follows the same ownership rule as the other mutating cpumask kfuncs. Query kfuncs continue to accept const struct cpumask * inputs.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-93112"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-17T17:18:05Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbpf: Require a BPF cpumask for bpf_cpumask_populate()\n\nbpf_cpumask_populate() writes to its destination with bitmap_copy(), but\nthe destination is typed as struct cpumask *. That allows the verifier to\naccept borrowed cpumask pointers returned by read-only kfuncs, such as\nscx_bpf_get_online_cpumask(), as a writable destination.\n\nMake the destination a struct bpf_cpumask * so populate follows the same\nownership rule as the other mutating cpumask kfuncs. Query kfuncs continue\nto accept const struct cpumask * inputs.",
  "id": "GHSA-8wvc-jp6j-85p4",
  "modified": "2026-09-17T18:32:11Z",
  "published": "2026-09-17T18:32:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-93112"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0cfc9348a045da64955af2dd6902e66dfc7d6469"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8740156ad33be5071b588b594c55f279457f667c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/b7e2a5c6519adc73be55c3de2cb545e095a0fbc5"
    }
  ],
  "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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