GHSA-PC8P-4PFJ-FGM2

Vulnerability from github – Published: 2026-07-13 18:30 – Updated: 2026-07-13 18:30
VLAI
Details

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

Bluetooth: hci_conn: Fix memory leak in hci_le_big_terminate()

hci_le_big_terminate() allocates iso_list_data via kzalloc_obj but returns 0 without freeing it when neither pa_sync_term nor big_sync_term flags are set after evaluating the PA and BIG sync connection state.

This early-return path was introduced when hci_le_big_terminate() was refactored to take struct hci_conn instead of raw u8 parameters, adding PA/BIG flag evaluation logic. The existing kfree() on hci_cmd_sync_queue failure does not cover this path.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-53364"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-13T18:16:28Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nBluetooth: hci_conn: Fix memory leak in hci_le_big_terminate()\n\nhci_le_big_terminate() allocates iso_list_data via kzalloc_obj but\nreturns 0 without freeing it when neither pa_sync_term nor big_sync_term\nflags are set after evaluating the PA and BIG sync connection state.\n\nThis early-return path was introduced when hci_le_big_terminate() was\nrefactored to take struct hci_conn instead of raw u8 parameters, adding\nPA/BIG flag evaluation logic. The existing kfree() on hci_cmd_sync_queue\nfailure does not cover this path.",
  "id": "GHSA-pc8p-4pfj-fgm2",
  "modified": "2026-07-13T18:30:52Z",
  "published": "2026-07-13T18:30:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53364"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a59d4f4217e6200ca9180643e5738a87d3fa8be0"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/bfa9d28960ed677d556bdf097073bc3129686229"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/e6b78019664dfe37c3dc707f50e7b453d6c7726d"
    }
  ],
  "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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