GHSA-79JG-FP86-Q5XG
Vulnerability from github – Published: 2026-08-28 09:31 – Updated: 2026-08-29 09:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
accel/amdxdna: Fix iommu domain lifetime race during device removal
When force_iova mode is enabled, amdxdna_remove() frees xdna->domain. If amdxdna_gem_obj_free() is called after device removal, it may attempt to access xdna->domain, resulting in a use-after-free.
Fix the race by adding freeing xdna->domain as a managed release action, so its lifetime is managed by DRM and remains valid until all managed resources are released.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-80608"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-28T08:16:44Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\naccel/amdxdna: Fix iommu domain lifetime race during device removal\n\nWhen force_iova mode is enabled, amdxdna_remove() frees xdna-\u003edomain. If\namdxdna_gem_obj_free() is called after device removal, it may attempt to\naccess xdna-\u003edomain, resulting in a use-after-free.\n\nFix the race by adding freeing xdna-\u003edomain as a managed release action,\nso its lifetime is managed by DRM and remains valid until all managed\nresources are released.",
"id": "GHSA-79jg-fp86-q5xg",
"modified": "2026-08-29T09:30:25Z",
"published": "2026-08-28T09:31:46Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80608"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/65e7e2b8d71b418439ebc68e80ed3e5a325375d6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b4a0500fdf6e61a6c5f92ff2e61bc91578075803"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/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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