GHSA-CJR4-FWC8-QF28

Vulnerability from github – Published: 2026-05-13 18:30 – Updated: 2026-05-20 18:31
VLAI?
Details

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

net-shapers: don't free reply skb after genlmsg_reply()

genlmsg_reply() hands the reply skb to netlink, and netlink_unicast() consumes it on all return paths, whether the skb is queued successfully or freed on an error path.

net_shaper_nl_get_doit() and net_shaper_nl_cap_get_doit() currently jump to free_msg after genlmsg_reply() fails and call nlmsg_free(msg), which can hit the same skb twice.

Return the genlmsg_reply() error directly and keep free_msg only for pre-reply failures.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-43481"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-13T16:16:51Z",
    "severity": "HIGH"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet-shapers: don\u0027t free reply skb after genlmsg_reply()\n\ngenlmsg_reply() hands the reply skb to netlink, and\nnetlink_unicast() consumes it on all return paths, whether the\nskb is queued successfully or freed on an error path.\n\nnet_shaper_nl_get_doit() and net_shaper_nl_cap_get_doit()\ncurrently jump to free_msg after genlmsg_reply() fails and call\nnlmsg_free(msg), which can hit the same skb twice.\n\nReturn the genlmsg_reply() error directly and keep free_msg\nonly for pre-reply failures.",
  "id": "GHSA-cjr4-fwc8-qf28",
  "modified": "2026-05-20T18:31:31Z",
  "published": "2026-05-13T18:30:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-43481"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/57885276cc16a2e2b76282c808a4e84cbecb3aae"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/83f7b54242d0abbfce35a55c01322f50962ed3ee"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/8738dcc844fff7d0157ee775230e95df3b1884d7"
    }
  ],
  "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.

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