GHSA-C5C6-FJ3H-JWH2
Vulnerability from github – Published: 2025-12-30 15:30 – Updated: 2026-08-04 12:34
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
Bluetooth: L2CAP: Fix potential user-after-free
This fixes all instances of which requires to allocate a buffer calling alloc_skb which may release the chan lock and reacquire later which makes it possible that the chan is disconnected in the meantime.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2023-54214"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-12-30T13:16:09Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nBluetooth: L2CAP: Fix potential user-after-free\n\nThis fixes all instances of which requires to allocate a buffer calling\nalloc_skb which may release the chan lock and reacquire later which\nmakes it possible that the chan is disconnected in the meantime.",
"id": "GHSA-c5c6-fj3h-jwh2",
"modified": "2026-08-04T12:34:48Z",
"published": "2025-12-30T15:30:31Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-54214"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/31a288a4df7f6a28e65da22a4ab2add4a963738e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/60aaccf16d1e099c16bebfb96428ae762cb528f7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/64e28ecf44e46de9f01915a4146706a21c3469d2"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/994e3e18908f5c4a12d07b44018e6aa85f071048"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a6a7d1541fefddf7ca0cfb34c1bff63ff809cc49"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b2fde8cb2a25125111f2144604e0e7c0ebcc4bba"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b8ed41cc04fb74005aa51d17865ca3d022760335"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/df5703348813235874d851934e957c3723d71644"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/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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