GHSA-5XC7-FRH7-75GX
Vulnerability from github – Published: 2025-10-01 12:30 – Updated: 2026-01-22 00:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
memory: of: Fix refcount leak bug in of_lpddr3_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-2022-50429"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-01T12:15:34Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmemory: of: Fix refcount leak bug in of_lpddr3_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-5xc7-frh7-75gx",
"modified": "2026-01-22T00:31:29Z",
"published": "2025-10-01T12:30:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50429"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1d312c12c91f831fcc48623c921f2d4560edb159"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3b321bf7687968a090cf6b62bd8e67d692f59a16"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/48af14fb0eaa63d9aa68f59fb0b205ec55a95636"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7e053784c4c70df28324106d476778be7a4519b3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/daab421fc2dc7d6ae7eb20a3f565ae09652c68b9"
}
],
"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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