GHSA-HVJQ-6CC4-MMG6
Vulnerability from github – Published: 2025-09-15 15:31 – Updated: 2025-11-25 15:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
memory: of: Fix refcount leak bug in of_get_ddr_timings()
We should add the of_node_put() when breaking out of for_each_child_of_node() as it will automatically increase and decrease the refcount.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-50249"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-15T14:15:35Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmemory: of: Fix refcount leak bug in of_get_ddr_timings()\n\nWe should add the of_node_put() when breaking out of\nfor_each_child_of_node() as it will automatically increase\nand decrease the refcount.",
"id": "GHSA-hvjq-6cc4-mmg6",
"modified": "2025-11-25T15:31:33Z",
"published": "2025-09-15T15:31:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50249"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/05215fb32010d4afb68fbdbb4d237df6e2d4567b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1c6cac6fa4d08aea161f83d38117d733b3c3a000"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2680690f9ce4e6abbb4f559e97271c15b7eeda97"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/62ccab6e3376f8a22167c3b81468ae4f3e7d25f1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/68c9c4e6495b825be3a8946df1a0148399555fe4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/85a40bfb8e7a170abcf9dae2c0898a1983e48daa"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a4d0bd4388e1a39df47e8aaa044ef6a7ee626e48"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a4f7eb83852a65b6f8dea7dcc42b7c76d4d9b0a3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/daaec4b3fe2297b022c6b2d6bf48b6e5265a60b9"
}
],
"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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