GHSA-J46P-7HMV-QPV9
Vulnerability from github – Published: 2026-08-28 09:31 – Updated: 2026-08-28 09:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
powerpc/perf: fix preempt count underflow in fsl_emb_pmu_del
fsl_emb_pmu_del() unconditionally calls put_cpu_var(cpu_hw_events) at the 'out:' label, but only calls the matching get_cpu_var() after the 'i < 0' early-return check. When event->hw.idx is negative the function jumps to 'out:' without having taken get_cpu_var(), and the trailing put_cpu_var() then issues an unmatched preempt_enable(), underflowing preempt_count.
On a CONFIG_PREEMPT=y kernel preempt_count would underflow and eventually present as a 'scheduling while atomic' BUG.
Move put_cpu_var() to pair with get_cpu_var() so the percpu access is correctly bracketed and the 'out:' label only handles perf_pmu_enable.
{
"affected": [],
"aliases": [
"CVE-2026-80626"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-28T08:16:46Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\npowerpc/perf: fix preempt count underflow in fsl_emb_pmu_del\n\nfsl_emb_pmu_del() unconditionally calls put_cpu_var(cpu_hw_events) at\nthe \u0027out:\u0027 label, but only calls the matching get_cpu_var() after the\n\u0027i \u003c 0\u0027 early-return check. When event-\u003ehw.idx is negative the\nfunction jumps to \u0027out:\u0027 without having taken get_cpu_var(), and the\ntrailing put_cpu_var() then issues an unmatched preempt_enable(),\nunderflowing preempt_count.\n\nOn a CONFIG_PREEMPT=y kernel preempt_count would underflow and\neventually present as a \u0027scheduling while atomic\u0027 BUG.\n\nMove put_cpu_var() to pair with get_cpu_var() so the percpu access is\ncorrectly bracketed and the \u0027out:\u0027 label only handles perf_pmu_enable.",
"id": "GHSA-j46p-7hmv-qpv9",
"modified": "2026-08-28T09:31:47Z",
"published": "2026-08-28T09:31:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80626"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5397142d60aa29dcf636f5459d960bfc4f97c42a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/67aeb1eb93d4ffd898a3e74a7f3fe46ee71feb28"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/73711688479df333acc134e3730fff1acba1843e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/81e3a86030462824a67d697739cf3f387f4ba350"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9a515e00b00132b6fc3f1dd62dc5204bbda8cb10"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b504fd953664c3f4d176ae8cb594adb3fda9d577"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b89477077c834d94381c7bf07d81193bebefcff9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c0c7722308c5f303117d8bd555290fdf26b098da"
}
],
"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.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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