CVE-2022-50061 (GCVE-0-2022-50061)
Vulnerability from cvelistv5 – Published: 2025-06-18 11:02 – Updated: 2026-05-11 19:12
VLAI
EPSS
VEX
Title
pinctrl: nomadik: Fix refcount leak in nmk_pinctrl_dt_subnode_to_map
Summary
In the Linux kernel, the following vulnerability has been resolved:
pinctrl: nomadik: Fix refcount leak in nmk_pinctrl_dt_subnode_to_map
of_parse_phandle() returns a node pointer with refcount
incremented, we should use of_node_put() on it when not need anymore.
Add missing of_node_put() to avoid refcount leak."
Severity
5.5 (Medium)
Assigner
References
8 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
c2f6d059abfc29822af732e4da70813a5b6fd9cd , < 81abaab5a4b815c0ed9f4d2c9745777ac5cc395b
(git)
Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < c35f89a9021fa947ecede0584ae509368a52ec5a (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < f498542bc703bf1e5c6a1610e1ea493a437f0196 (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < c26012a1e61c7bbd1b393d3bbae8dffdb6df65bb (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < 78d05103891d3e96144b846fbc39f2cfb3384eae (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < 9272265f2f76629e1a67e6d49b3a4461b3da1a73 (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < 587ac8ac00a1a9f4572785229d9441870fd7b187 (git) Affected: c2f6d059abfc29822af732e4da70813a5b6fd9cd , < 4b32e054335ea0ce50967f63a7bfd4db058b14b9 (git) |
guessed | |
| Linux | Linux |
Affected:
3.18
Unaffected: 0 , < 3.18 (semver) Unaffected: 4.9.326 , ≤ 4.9.* (semver) Unaffected: 4.14.291 , ≤ 4.14.* (semver) Unaffected: 4.19.256 , ≤ 4.19.* (semver) Unaffected: 5.4.211 , ≤ 5.4.* (semver) Unaffected: 5.10.138 , ≤ 5.10.* (semver) Unaffected: 5.15.63 , ≤ 5.15.* (semver) Unaffected: 5.19.4 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed |
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"id": "CVE-2022-50061",
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"title": "kernel: pinctrl: nomadik: Fix refcount leak in nmk_pinctrl_dt_subnode_to_map",
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"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-50061.json",
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}
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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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