GHSA-PHFQ-PPCX-5J3H
Vulnerability from github – Published: 2026-02-04 18:30 – Updated: 2026-03-17 21:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
intel_th: fix device leak on output open()
Make sure to drop the reference taken when looking up the th device during output device open() on errors and on close().
Note that a recent commit fixed the leak in a couple of open() error paths but not all of them, and the reference is still leaking on successful open().
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-23091"
],
"database_specific": {
"cwe_ids": [
"CWE-401"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-02-04T17:16:19Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nintel_th: fix device leak on output open()\n\nMake sure to drop the reference taken when looking up the th device\nduring output device open() on errors and on close().\n\nNote that a recent commit fixed the leak in a couple of open() error\npaths but not all of them, and the reference is still leaking on\nsuccessful open().",
"id": "GHSA-phfq-ppcx-5j3h",
"modified": "2026-03-17T21:31:40Z",
"published": "2026-02-04T18:30:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23091"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0fca16c5591534cc1fec8b6181277ee3a3d0f26c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/64015cbf06e8bb75b81ae95b997e847b55280f7f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/95fc36a234da24bbc5f476f8104a5a15f99ed3e3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/af4b9467296b9a16ebc008147238070236982b6d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b71e64ef7ff9443835d1333e3e80ab1e49e5209f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/bf7785434b5d05d940d936b78925080950bd54dd"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f9b059bda4276f2bb72cb98ec7875a747f042ea2"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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