GHSA-6HG3-QQFJ-F5WW

Vulnerability from github – Published: 2026-08-22 18:30 – Updated: 2026-08-22 18:30
VLAI
Details

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

bpf: Preserve pointer state for commuted arithmetic

When scalar += pointer is handled in adjust_ptr_min_max_vals(), the destination register inherits the pointer state from the source pointer. Copying only selected fields is fragile because pointer provenance is tracked by several bpf_reg_state fields.

Use the caller's temporary offset register to preserve the scalar operand while replacing the destination with the full pointer state. This preserves the frame number for PTR_TO_STACK registers and keeps parent identity fields consistent.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-74720"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-22T16:16:46Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbpf: Preserve pointer state for commuted arithmetic\n\nWhen scalar += pointer is handled in adjust_ptr_min_max_vals(), the\ndestination register inherits the pointer state from the source pointer.\nCopying only selected fields is fragile because pointer provenance is\ntracked by several bpf_reg_state fields.\n\nUse the caller\u0027s temporary offset register to preserve the scalar operand\nwhile replacing the destination with the full pointer state. This preserves\nthe frame number for PTR_TO_STACK registers and keeps parent identity\nfields consistent.",
  "id": "GHSA-6hg3-qqfj-f5ww",
  "modified": "2026-08-22T18:30:30Z",
  "published": "2026-08-22T18:30:30Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74720"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/29c239f8dbec5ab33a61796724d189bddee6cd4b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8109c25e0c41f5f19a1c2380bb49c991a877494e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/86b203aadc2930e0a4f9c6277b5b80ff3664c472"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8cb23101a3fcc7432b451ea3d0f14a90711f4acf"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a4c6f804b44c5c790269b25e0e61cf4e9f117c86"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d1959028190a7649b926f5867a58de5fe221b23c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/db6382ed3361bdd8129572a3423956cba1dae829"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/eaffa1495e4fe6330aeff9f323ea3d48b01f118a"
    }
  ],
  "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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