CVE-2022-50108 (GCVE-0-2022-50108)
Vulnerability from cvelistv5 – Published: 2025-06-18 11:02 – Updated: 2026-05-11 19:12
VLAI
EPSS
VEX
Title
mfd: max77620: Fix refcount leak in max77620_initialise_fps
Summary
In the Linux kernel, the following vulnerability has been resolved:
mfd: max77620: Fix refcount leak in max77620_initialise_fps
of_get_child_by_name() 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
6 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
327156c593600e0f08575621c2a56f311d482e7a , < b948ff8a9e9ad46d4dff9127777caa14c8c2b53c
(git)
Affected: 327156c593600e0f08575621c2a56f311d482e7a , < afdbadbf18c19779d7bc5df70d872924f9bbd76b (git) Affected: 327156c593600e0f08575621c2a56f311d482e7a , < facd31bbc799f4d0cd25d9d688af7ca41e7f38ee (git) Affected: 327156c593600e0f08575621c2a56f311d482e7a , < 50d5fe8cb94c319cb4316f4d824570c075565354 (git) Affected: 327156c593600e0f08575621c2a56f311d482e7a , < a29c40814039535b950149311986a5f348b5db14 (git) Affected: 327156c593600e0f08575621c2a56f311d482e7a , < 1520669c8255bd637c6b248b2be910e2688d38dd (git) |
guessed | |
| Linux | Linux |
Affected:
4.7
Unaffected: 0 , < 4.7 (semver) Unaffected: 5.4.211 , ≤ 5.4.* (semver) Unaffected: 5.10.137 , ≤ 5.10.* (semver) Unaffected: 5.15.61 , ≤ 5.15.* (semver) Unaffected: 5.18.18 , ≤ 5.18.* (semver) Unaffected: 5.19.2 , ≤ 5.19.* (semver) Unaffected: 6.0 , ≤ * (original_commit_for_fix) |
guessed |
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"source": "Red Hat CSAF VEX",
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"title": "kernel: mfd: max77620: Fix refcount leak in max77620_initialise_fps",
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"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-50108",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-50108.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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