GHSA-PM6P-P8M3-VPMM
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:
media: nuvoton: npcm-video: fix memory leaks in probe and remove
npcm_video_probe() allocates the npcm_video structure with kzalloc_obj() but never frees it on any probe error path or in npcm_video_remove(), leaking the allocation on every failed probe and every normal unbind.
Additionally, when npcm_video_setup_video() fails, the reserved memory association established by of_reserved_mem_device_init() in npcm_video_init() is not released, leaking the rmem_assigned_device entry on the global list.
Fix both by adding kfree(video) to all probe error paths and to npcm_video_remove(), and adding the missing of_reserved_mem_device_release() call when npcm_video_setup_video() fails.
{
"affected": [],
"aliases": [
"CVE-2026-68221"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:10Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: nuvoton: npcm-video: fix memory leaks in probe and remove\n\nnpcm_video_probe() allocates the npcm_video structure with kzalloc_obj()\nbut never frees it on any probe error path or in npcm_video_remove(),\nleaking the allocation on every failed probe and every normal unbind.\n\nAdditionally, when npcm_video_setup_video() fails, the reserved memory\nassociation established by of_reserved_mem_device_init() in\nnpcm_video_init() is not released, leaking the rmem_assigned_device\nentry on the global list.\n\nFix both by adding kfree(video) to all probe error paths and to\nnpcm_video_remove(), and adding the missing\nof_reserved_mem_device_release() call when npcm_video_setup_video()\nfails.",
"id": "GHSA-pm6p-p8m3-vpmm",
"modified": "2026-08-10T15:33:41Z",
"published": "2026-08-10T15:33:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68221"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/181a0aeefd56f9285325b84789aa348aba0508bf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/50cc0e547da50b887e63dfa1ad203cd5b735d01e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/65ddc021d39d6383635ee8b0970b2d1c7947e447"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b092d690a9b28795ab2db083023e8a5368cddb22"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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.
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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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