GHSA-4J42-QMRM-833C
Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-15 06:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
fbdev: nvidia: fix potential memory leak in nvidiafb_probe()
In nvidiafb_probe(), the memory allocated for modelist in nvidia_set_fbinfo() is not freed in the subsequent error paths. Fix that by calling fb_destroy_modelist().
{
"affected": [],
"aliases": [
"CVE-2026-72265"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:21:54Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfbdev: nvidia: fix potential memory leak in nvidiafb_probe()\n\nIn nvidiafb_probe(), the memory allocated for modelist in\nnvidia_set_fbinfo() is not freed in the subsequent error paths.\nFix that by calling fb_destroy_modelist().",
"id": "GHSA-4j42-qmrm-833c",
"modified": "2026-08-15T06:32:18Z",
"published": "2026-08-15T06:32:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72265"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/009a8514745b16c468acc25aa00539abbf38e1b5"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2515cd60f6b5ad680ed164aa6bd19b05270af34c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/508704de34fb8c0dcbbf13397212363bbf0974de"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6ca48f23ce61a26349d7d084fb63b70499137c8e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7e747f7b17ccce750502fd4d0b4e866fe4f066a6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/85f5e38c162bdf9dbbe197275d416402712f3707"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e8172773e5251f4df2eed74caab6ca3195fed1ea"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ed3b3eb212441fb5f287dfd24ebafe11d634f009"
}
],
"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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