GHSA-PJC6-4Q26-FRJF
Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-17 06:33
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
KVM: arm64: nv: Drop bogus WARN for write to ZCR_EL2
It is entirely possible for a guest to write to the ZCR_EL2 sysreg alias while in a nested context, as it is expected if FEAT_NV2 is advertised to the L1 hypervisor.
Get rid of the bogus WARN which, since the hyp vectors were installed at this point, has the effect of a hyp_panic...
Severity
7.1 (High)
{
"affected": [],
"aliases": [
"CVE-2026-72280"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:21:58Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nKVM: arm64: nv: Drop bogus WARN for write to ZCR_EL2\n\nIt is entirely possible for a guest to write to the ZCR_EL2 sysreg alias\nwhile in a nested context, as it is expected if FEAT_NV2 is advertised\nto the L1 hypervisor.\n\nGet rid of the bogus WARN which, since the hyp vectors were installed at\nthis point, has the effect of a hyp_panic...",
"id": "GHSA-pjc6-4q26-frjf",
"modified": "2026-08-17T06:33:21Z",
"published": "2026-08-15T06:32:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72280"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5000bcae71c869cba6674c326fec2d8ad659ae3a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6561597dba97e3e8479a9919bda172cf43eb902c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7deadbc5dab5b8e2316364603bc6281129c8461c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9f1667098c6ae7ec81a9a56859cfdacb822aa0d0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- 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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