GHSA-RVFV-RR2V-7C9X
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: radeon: fix potential memory leak in radeonfb_pci_register()
The function radeonfb_pci_register() allocates memory for modelist (by calling radeon_check_modes() which calls fb_add_videomode()). The memory is appended to info->modelist, but is not freed in subsequent error paths. Fix this by calling fb_destroy_modelist().
{
"affected": [],
"aliases": [
"CVE-2026-72272"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:21:56Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nfbdev: radeon: fix potential memory leak in radeonfb_pci_register()\n\nThe function radeonfb_pci_register() allocates memory for modelist\n(by calling radeon_check_modes() which calls fb_add_videomode()).\nThe memory is appended to info-\u003emodelist, but is not freed in subsequent\nerror paths. Fix this by calling fb_destroy_modelist().",
"id": "GHSA-rvfv-rr2v-7c9x",
"modified": "2026-08-15T06:32:18Z",
"published": "2026-08-15T06:32:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72272"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1b1b43342fbf11eaf2a8926b9ed4805579d772ac"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1c5387451176db5def499db809d718765f359a37"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/30a2ff955b66b16d4c98dc61f4fe8b3a57c6f7bb"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a94a4a0ec2684454934ba104988d6222836a572f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c2c795a320e7ef9aa69c7f4bd2c9ac07064eff9a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c622a3eed6ad26879b6c0bc208fd6e3ffc4b7de3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/df8c1101c9a08859da612b5d0a08d55d475522c6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f4dacbfd885f34222e67145294de9b8479aa021d"
}
],
"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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