GHSA-76W7-9HPV-PXPR
Vulnerability from github – Published: 2025-06-18 12:30 – Updated: 2025-11-19 15:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
regulator: of: Fix refcount leak bug in of_get_regulation_constraints()
We should call the of_node_put() for the reference returned by of_get_child_by_name() which has increased the refcount.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-50191"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-06-18T11:15:49Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nregulator: of: Fix refcount leak bug in of_get_regulation_constraints()\n\nWe should call the of_node_put() for the reference returned by\nof_get_child_by_name() which has increased the refcount.",
"id": "GHSA-76w7-9hpv-pxpr",
"modified": "2025-11-19T15:31:29Z",
"published": "2025-06-18T12:30:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50191"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/11ecb4f8735b0230d54a82c18b21ea778b695d61"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/332e555dca074c4eb2084898021c3676423814c3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/35f9e861d9b9434903a8ede37a3561f78985826d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/66efb665cd5ad69b27dca8571bf89fc6b9c628a4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a23098cc32860272dc6c3200ff20c34c65b7b694"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b9ca8585c766616563cf3c062c6878f61f83cf00"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c9df8ff290097aabd5c9200f7f729b0813d37b19"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fc7b19f547bc9e622060a0a9a39da2330aa21c53"
}
],
"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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