GHSA-V4FW-33V9-5MM7
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:
ASoC: SOF: sof-audio: Fix error path in sof_widget_setup_unlocked()
If either tplg_ops->dai_config or widget_kcontrol_setup fail during widget setup we would double decrement the use_count of the widget because the sof_widget_free_unlocked() would be called twice, similarly the core_put would be invoked twice as well.
Since the use_count and core_put() is handled within the widget_free function we need to return without falling through the pipe_widget_free label.
The fixes tag is picked to the last change around this part of the code which is adequately old enough for backporting purposes.
{
"affected": [],
"aliases": [
"CVE-2026-80911"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-04T18:18:00Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nASoC: SOF: sof-audio: Fix error path in sof_widget_setup_unlocked()\n\nIf either tplg_ops-\u003edai_config or widget_kcontrol_setup fail during widget\nsetup we would double decrement the use_count of the widget because the\nsof_widget_free_unlocked() would be called twice, similarly the core_put\nwould be invoked twice as well.\n\nSince the use_count and core_put() is handled within the widget_free\nfunction we need to return without falling through the pipe_widget_free\nlabel.\n\nThe fixes tag is picked to the last change around this part of the code\nwhich is adequately old enough for backporting purposes.",
"id": "GHSA-v4fw-33v9-5mm7",
"modified": "2026-09-04T18:31:34Z",
"published": "2026-09-04T18:31:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80911"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8cba53b862e1437257ec206d303ff942684284f1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b270ed327380428581bbcbd85707f62e942428d7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c06995637f6a4667f2b540ac65315bfc8196a099"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d48691e70d4a9434b71039d4ed12bb0df4601acf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e780e4917d43683224812400fe3dc4816fceba75"
}
],
"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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