GHSA-2F7W-JQWH-GFWP
Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-10 15:33
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu/gfx: fix cleaner shader IB buffer overflow
The cleaner shader sysfs path allocates a 16-dword (64 byte) IB but incorrectly fills (align_mask + 1) dwords. On GFX rings align_mask is 0xff, so the loop wrote 256 dwords into a 64-byte buffer, causing a kernel page fault.
The IB only needs to be a minimal NOP shell to schedule the job; the cleaner shader itself is emitted on the ring via emit_cleaner_shader(). Fill 16 dwords to match the allocation.
v2: Use ib_size_dw variable (Lijo)
(cherry picked from commit bf21af331ebf72d0935fd70c73192414a422c03a)
{
"affected": [],
"aliases": [
"CVE-2026-68276"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:16Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/amdgpu/gfx: fix cleaner shader IB buffer overflow\n\nThe cleaner shader sysfs path allocates a 16-dword (64 byte) IB but\nincorrectly fills (align_mask + 1) dwords. On GFX rings align_mask is\n0xff, so the loop wrote 256 dwords into a 64-byte buffer, causing a\nkernel page fault.\n\nThe IB only needs to be a minimal NOP shell to schedule the job; the\ncleaner shader itself is emitted on the ring via emit_cleaner_shader().\nFill 16 dwords to match the allocation.\n\nv2: Use ib_size_dw variable (Lijo)\n\n(cherry picked from commit bf21af331ebf72d0935fd70c73192414a422c03a)",
"id": "GHSA-2f7w-jqwh-gfwp",
"modified": "2026-08-10T15:33:44Z",
"published": "2026-08-10T15:33:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68276"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/201633f47b542a99bb7baafdfcda7781249fb3d9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3e864bf2a32a1cbdf1e0f9c5a5a4176e8575f4a3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9cd9a983769a4d0e9cc80a287316ee79685d38b3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e28420e36542ae8b66a5bdcec419525f521bddf8"
}
],
"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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