GHSA-PG63-6V2P-P54J
Vulnerability from github – Published: 2026-09-11 21:31 – Updated: 2026-09-14 15:32In the Linux kernel, the following vulnerability has been resolved:
power: supply: bq24257: fix use-after-free on remove
The STAT-pin interrupt is devm-managed, so it stays armed until the devm cleanup that runs after remove() returns. remove() cancels bq->iilimit_setup_work while the threaded handler can still fire; that handler reschedules the work and dereferences bq, so the work runs against freed memory once devm frees bq.
Make the delayed work device-managed with devm_delayed_work_autocancel(), registered before the interrupt request. The devm cleanup then releases the interrupt first, so the handler can no longer reschedule the work, and cancels the work before bq is freed. The explicit cancel_delayed_work_sync() in remove() is no longer needed and is dropped.
Found by static analysis.
{
"affected": [],
"aliases": [
"CVE-2026-89475"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-11T20:19:28Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\npower: supply: bq24257: fix use-after-free on remove\n\nThe STAT-pin interrupt is devm-managed, so it stays armed until the devm\ncleanup that runs after remove() returns. remove() cancels\nbq-\u003eiilimit_setup_work while the threaded handler can still fire; that\nhandler reschedules the work and dereferences bq, so the work runs\nagainst freed memory once devm frees bq.\n\nMake the delayed work device-managed with devm_delayed_work_autocancel(),\nregistered before the interrupt request. The devm cleanup then releases\nthe interrupt first, so the handler can no longer reschedule the work,\nand cancels the work before bq is freed. The explicit\ncancel_delayed_work_sync() in remove() is no longer needed and is dropped.\n\nFound by static analysis.",
"id": "GHSA-pg63-6v2p-p54j",
"modified": "2026-09-14T15:32:25Z",
"published": "2026-09-11T21:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-89475"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/47ccbad210f48721c30d69d65b83dc9fff919ca9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6d2eb93975c07b0169a3287efc1ae3b60cf52d8e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/861ec73ce86e2ca18082cc7be4f140a5bbdf1428"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9d34c9d660c3d0931d2cc749c46c47cf31f96e48"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9d77fd7dd9a3ad57f7655c5264b503b85adbb7b8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a279e64c907f5638bb34cb8e2c9285798cf5f690"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f495808cdd6d9576965787cf6d9737d0b0e86b73"
}
],
"schema_version": "1.4.0",
"severity": []
}
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.
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.
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.