FKIE_CVE-2026-97475
Vulnerability from fkie_nvd - Published: 2026-09-24 17:17 - Updated: 2026-09-24 17:17
Severity
Summary
In the Linux kernel, the following vulnerability has been resolved:
thermal/drivers/tegra/soctherma: Switch to devm cooling device registration
Use devm_thermal_of_cooling_device_register() to simplify resource
management and avoid manual cleanup in error paths.
As a side effect this change has the benefit of solving an existing
issue. Before, the function tegra_soctherm_remove() only called
debugfs_remove_recursive() and never called thermal_cooling_device_unregister()
for any of the cooling devices registered here.
After the driver removal, the thermal framework's cdev list would
still hold references to thermal_cooling_device objects whose devdata
pointer (ts) pointed to memory already freed by the platform device's
devm cleanup.
With this change, the cooling device is unregistered when the driver
is removed, thus fixing the issue above.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Linux",
"programFiles": [
"drivers/thermal/tegra/soctherm.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"lessThan": "6f2a863e7e9adf6088fe644259576181e60ee5e5",
"status": "affected",
"version": "1da177e4c3f41524e886b7f1b8a0c1fc7321cac2",
"versionType": "git"
},
{
"lessThan": "deaeb7be8e6b04c8b71080acba1bd88698f56b1d",
"status": "affected",
"version": "1da177e4c3f41524e886b7f1b8a0c1fc7321cac2",
"versionType": "git"
},
{
"lessThan": "ee126267bc04bfb03816ae9d71ca24c5bf99e739",
"status": "affected",
"version": "1da177e4c3f41524e886b7f1b8a0c1fc7321cac2",
"versionType": "git"
},
{
"lessThan": "6.12.111",
"status": "affected",
"version": "0",
"versionType": "semver"
},
{
"lessThan": "6.18.53",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
},
{
"defaultStatus": "affected",
"product": "Linux",
"programFiles": [
"drivers/thermal/tegra/soctherm.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"lessThanOrEqual": "6.12.*",
"status": "unaffected",
"version": "6.12.111",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.18.*",
"status": "unaffected",
"version": "6.18.53",
"versionType": "semver"
},
{
"lessThanOrEqual": "*",
"status": "unaffected",
"version": "7.2",
"versionType": "original_commit_for_fix"
}
]
}
],
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In the Linux kernel, the following vulnerability has been resolved:\n\nthermal/drivers/tegra/soctherma: Switch to devm cooling device registration\n\nUse devm_thermal_of_cooling_device_register() to simplify resource\nmanagement and avoid manual cleanup in error paths.\n\nAs a side effect this change has the benefit of solving an existing\nissue. Before, the function tegra_soctherm_remove() only called\ndebugfs_remove_recursive() and never called thermal_cooling_device_unregister()\nfor any of the cooling devices registered here.\n\nAfter the driver removal, the thermal framework\u0027s cdev list would\nstill hold references to thermal_cooling_device objects whose devdata\npointer (ts) pointed to memory already freed by the platform device\u0027s\ndevm cleanup.\n\nWith this change, the cooling device is unregistered when the driver\nis removed, thus fixing the issue above."
}
],
"id": "CVE-2026-97475",
"lastModified": "2026-09-24T17:17:24.800",
"metrics": {},
"published": "2026-09-24T17:17:24.800",
"references": [
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/6f2a863e7e9adf6088fe644259576181e60ee5e5"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/deaeb7be8e6b04c8b71080acba1bd88698f56b1d"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/ee126267bc04bfb03816ae9d71ca24c5bf99e739"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Received"
}
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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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