GHSA-GPR7-JPMR-PQCR

Vulnerability from github – Published: 2024-06-20 12:31 – Updated: 2025-09-29 18:33
VLAI
Details

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

net/mlx5: Use del_timer_sync in fw reset flow of halting poll

Substitute del_timer() with del_timer_sync() in fw reset polling deactivation flow, in order to prevent a race condition which occurs when del_timer() is called and timer is deactivated while another process is handling the timer interrupt. A situation that led to the following call trace: RIP: 0010:run_timer_softirq+0x137/0x420 recalibrate_cpu_khz+0x10/0x10 ktime_get+0x3e/0xa0 ? sched_clock_cpu+0xb/0xc0 __do_softirq+0xf5/0x2ea irq_exit_rcu+0xc1/0xf0 sysvec_apic_timer_interrupt+0x9e/0xc0 asm_sysvec_apic_timer_interrupt+0x12/0x20

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-48745"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-362"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-20T12:15:12Z",
    "severity": "MODERATE"
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnet/mlx5: Use del_timer_sync in fw reset flow of halting poll\n\nSubstitute del_timer() with del_timer_sync() in fw reset polling\ndeactivation flow, in order to prevent a race condition which occurs\nwhen del_timer() is called and timer is deactivated while another\nprocess is handling the timer interrupt. A situation that led to\nthe following call trace:\n\tRIP: 0010:run_timer_softirq+0x137/0x420\n\t\u003cIRQ\u003e\n\trecalibrate_cpu_khz+0x10/0x10\n\tktime_get+0x3e/0xa0\n\t? sched_clock_cpu+0xb/0xc0\n\t__do_softirq+0xf5/0x2ea\n\tirq_exit_rcu+0xc1/0xf0\n\tsysvec_apic_timer_interrupt+0x9e/0xc0\n\tasm_sysvec_apic_timer_interrupt+0x12/0x20\n\t\u003c/IRQ\u003e",
  "id": "GHSA-gpr7-jpmr-pqcr",
  "modified": "2025-09-29T18:33:08Z",
  "published": "2024-06-20T12:31:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-48745"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/2a038dd1d942f8fbc495c58fa592ff24af05f1c2"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3c5193a87b0fea090aa3f769d020337662d87b5e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/502c37b033fab7cde3e95a570af4f073306be45e"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/f895ebeb44d09d02674cfdd0cfc2bf687603918c"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/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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