GHSA-428C-JVG5-R285

Vulnerability from github – Published: 2026-06-24 09:30 – Updated: 2026-06-24 09:30
VLAI
Details

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

batman-adv: fix tp_meter counter underflow during shutdown

batadv_tp_sender_shutdown() unconditionally decrements the "sending" atomic counter. If multiple paths (e.g. timeout, user cancel, and normal finish) call this function, the counter can underflow to -1.

Since the sender logic treats any non-zero value as "still sending", a negative value causes the sender kthread to loop indefinitely. This leads to a use-after-free when the interface is removed while the zombie thread is still active.

Fix this by using atomic_xchg() to ensure the counter only transitions from 1 to 0 once.

[sven: added missing change in batadv_tp_send]

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{
  "affected": [],
  "aliases": [
    "CVE-2026-52919"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-24T08:16:21Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbatman-adv: fix tp_meter counter underflow during shutdown\n\nbatadv_tp_sender_shutdown() unconditionally decrements the \"sending\"\natomic counter. If multiple paths (e.g. timeout, user cancel, and\nnormal finish) call this function, the counter can underflow to -1.\n\nSince the sender logic treats any non-zero value as \"still sending\",\na negative value causes the sender kthread to loop indefinitely.\nThis leads to a use-after-free when the interface is removed while\nthe zombie thread is still active.\n\nFix this by using atomic_xchg() to ensure the counter only transitions\nfrom 1 to 0 once.\n\n[sven: added missing change in batadv_tp_send]",
  "id": "GHSA-428c-jvg5-r285",
  "modified": "2026-06-24T09:30:48Z",
  "published": "2026-06-24T09:30:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-52919"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/01cefc5923889e29dbb5f281c3d457714ceb9c00"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/90ae3eae06b7b8ab9f6250b9497c860915b4c17b"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/94f3b133168d1c49895e7cc6afbcf1cc0b354602"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/abae88fa254f2981d39ac003a7b302528a22af64"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/aeae11c5dad9cd0d50723890bdd866f8e6db2e7d"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c1bac194733aabd731aafa6a01350c229e187dba"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/c66d20a3ff095e3f000551d208ec2606616db15c"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e75e2ab463b5b34df6b98f94d740aff327ce9f6b"
    }
  ],
  "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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