GHSA-3GMF-H2JG-HWV2
Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-19 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/amdkfd: Check bounds in allocate_event_notification_slot
The valid event ids go from 0 to KFD_SIGNAL_EVENT_LIMIT
allocate_event_notification_slot has an option to specify an event id to allocate at, used by CRIU. We weren't checking the bounds on that value.
Check them.
v2: Lower bounds check is unecessary because of idr_alloc already rejecting negative numbers. Upper bounds check should be KFD_SIGNAL_EVENT_LIMIT since the signal mode mappings might not yet exist
(cherry picked from commit 6853f1f6cbbeb3f53ebbbd7286536aeb2c5d5f50)
{
"affected": [],
"aliases": [
"CVE-2026-68259"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:14Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amdkfd: Check bounds in allocate_event_notification_slot\n\nThe valid event ids go from 0 to KFD_SIGNAL_EVENT_LIMIT\n\nallocate_event_notification_slot has an option to specify\nan event id to allocate at, used by CRIU. We weren\u0027t checking\nthe bounds on that value.\n\nCheck them.\n\nv2: Lower bounds check is unecessary because of idr_alloc\nalready rejecting negative numbers. Upper bounds check should\nbe KFD_SIGNAL_EVENT_LIMIT since the signal mode mappings might\nnot yet exist\n\n(cherry picked from commit 6853f1f6cbbeb3f53ebbbd7286536aeb2c5d5f50)",
"id": "GHSA-3gmf-h2jg-hwv2",
"modified": "2026-08-19T18:32:12Z",
"published": "2026-08-10T15:33:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68259"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4622214f0542f64b02c250db0f9c677eeb032d9b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/50319efb865f72db45f191c8709511746d58ee0a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6884fc142b17f456caac50c14505f509bfbcd012"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/85eedff5f0c4aba5a66bc37a1bd6bcecd0d77b53"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/abeeb1947d81610c65349db4d89c6151f270e136"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/bb52249fbbe948875155ccd45cd8d74bf4ae747b"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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