GHSA-88QJ-MCXJ-4MFV

Vulnerability from github – Published: 2026-07-19 18:31 – Updated: 2026-07-20 15:31
VLAI
Details

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

ethtool: coalesce: cap profile updates at NET_DIM_PARAMS_NUM_PROFILES

ethnl_update_profile() walks the ETHTOOL_A_PROFILE_IRQ_MODERATION nest list with an index 'i' and writes new_profile[i++] without bounding i. The destination is kmemdup()'d at NET_DIM_PARAMS_NUM_PROFILES entries (5), but the Netlink nest count is entirely user-controlled. Netlink policies do not have support for constraining the number of nested entries (or number of multi-attr entries).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-63987"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-19T16:17:17Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nethtool: coalesce: cap profile updates at NET_DIM_PARAMS_NUM_PROFILES\n\nethnl_update_profile() walks the ETHTOOL_A_PROFILE_IRQ_MODERATION\nnest list with an index \u0027i\u0027 and writes new_profile[i++] without\nbounding i. The destination is kmemdup()\u0027d at NET_DIM_PARAMS_NUM_PROFILES\nentries (5), but the Netlink nest count is entirely user-controlled.\nNetlink policies do not have support for constraining the number\nof nested entries (or number of multi-attr entries).",
  "id": "GHSA-88qj-mcxj-4mfv",
  "modified": "2026-07-20T15:31:54Z",
  "published": "2026-07-19T18:31:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-63987"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/0c02c190bcd9822477038ff2cee10ea584ac1b1d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6205f7166d2dd14a017a5802c81e5bd1421a8635"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/7281b096b072f6c6e30420e3467d738f2e4c4b57"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d4c9cc7c47781c6f4fa29d80a1193a8bcd1525bc"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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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