GHSA-377R-P949-GF93
Vulnerability from github – Published: 2026-09-04 18:31 – Updated: 2026-09-04 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/vmwgfx: use check_add_overflow for shader size+offset bound
vmw_shader_define() validates the user-supplied shader window against its backing buffer with
(u64)buffer->tbo.base.size < (u64)size + (u64)offset
drm_vmw_shader_create_arg::offset is __u64 in the uapi; when it is near U64_MAX the unsigned addition wraps and the resulting tiny value passes the check. The unbounded offset is then stored in res->guest_memory_offset and forwarded to host SVGA shader-create commands.
Use check_add_overflow() to detect the wrap and compare the resulting endpoint against the buffer size.
{
"affected": [],
"aliases": [
"CVE-2026-80887"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-04T18:17:56Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/vmwgfx: use check_add_overflow for shader size+offset bound\n\nvmw_shader_define() validates the user-supplied shader window against\nits backing buffer with\n\n\t(u64)buffer-\u003etbo.base.size \u003c (u64)size + (u64)offset\n\ndrm_vmw_shader_create_arg::offset is __u64 in the uapi; when it is\nnear U64_MAX the unsigned addition wraps and the resulting tiny value\npasses the check. The unbounded offset is then stored in\nres-\u003eguest_memory_offset and forwarded to host SVGA shader-create\ncommands.\n\nUse check_add_overflow() to detect the wrap and compare the resulting\nendpoint against the buffer size.",
"id": "GHSA-377r-p949-gf93",
"modified": "2026-09-04T18:31:33Z",
"published": "2026-09-04T18:31:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80887"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1bbe7751f5ebac383405ef29a66622d65bd505d3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/54d56d5b42d2e4c72ba6e365e9774da90698aa22"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5c725901908eb1e52a16fc0e2373cb761df42d21"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cfd163169af3be56eaef113c680ea251f0d09189"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d3f44438aa805270aaead3b6840ccaea0f4c11f9"
}
],
"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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