GHSA-GP34-4GQ9-FH7J
Vulnerability from github – Published: 2025-09-15 15:31 – Updated: 2025-12-04 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
wifi: mac80211: fix invalid drv_sta_pre_rcu_remove calls for non-uploaded sta
Avoid potential data corruption issues caused by uninitialized driver private data structures.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-53229"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-15T15:15:49Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: mac80211: fix invalid drv_sta_pre_rcu_remove calls for non-uploaded sta\n\nAvoid potential data corruption issues caused by uninitialized driver\nprivate data structures.",
"id": "GHSA-gp34-4gq9-fh7j",
"modified": "2025-12-04T15:30:32Z",
"published": "2025-09-15T15:31:29Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53229"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/022c8320d9eb7394538bd716fa1a07a5ed92621b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/12b220a6171faf10638ab683a975cadcf1a352d6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/30c5a016a37a668c1c07442cf94de6e99ea7417a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3fe20515449a80a177526d2ecd13b43f6ee41aeb"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/73752a39e2a6e38eee3ba90ece2ded598ea88006"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7e68d7c640d41d8a371b8f6c2d2682ea437cbe21"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a3593082e0dadf87f17ea4ca9fa0210caaa2aebf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/db8d32d6b25fdb75c387daee496b96209d477780"
}
],
"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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