CVE-2022-48961 (GCVE-0-2022-48961)
Vulnerability from cvelistv5 – Published: 2024-10-21 20:05 – Updated: 2026-05-11 18:50
VLAI
EPSS
VEX
Title
net: mdio: fix unbalanced fwnode reference count in mdio_device_release()
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: mdio: fix unbalanced fwnode reference count in mdio_device_release()
There is warning report about of_node refcount leak
while probing mdio device:
OF: ERROR: memory leak, expected refcount 1 instead of 2,
of_node_get()/of_node_put() unbalanced - destroy cset entry:
attach overlay node /spi/soc@0/mdio@710700c0/ethernet@4
In of_mdiobus_register_device(), we increase fwnode refcount
by fwnode_handle_get() before associating the of_node with
mdio device, but it has never been decreased in normal path.
Since that, in mdio_device_release(), it needs to call
fwnode_handle_put() in addition instead of calling kfree()
directly.
After above, just calling mdio_device_free() in the error handle
path of of_mdiobus_register_device() is enough to keep the
refcount balanced.
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-22 13:20 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
a9049e0c513c4521dbfaa302af8ed08b3366b41f , < 16854177745a5648f8ec322353b432e18460f43a
(git)
Affected: a9049e0c513c4521dbfaa302af8ed08b3366b41f , < a5c6de1a6656b8cc6bce7cb3d9874dd7df4968c3 (git) Affected: a9049e0c513c4521dbfaa302af8ed08b3366b41f , < cb37617687f2bfa5b675df7779f869147c9002bd (git) |
guessed | |
| Linux | Linux |
Affected:
4.5
Unaffected: 0 , < 4.5 (semver) Unaffected: 5.15.83 , ≤ 5.15.* (semver) Unaffected: 6.0.13 , ≤ 6.0.* (semver) Unaffected: 6.1 , ≤ * (original_commit_for_fix) |
guessed |
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"initial_release_date": "2024-10-22T14:23:14Z",
"product_status:known_affected": "324",
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"product_status:recommended": "394",
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"status": "interim",
"title": "SUSE CVE CVE-2022-48961",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-48961.json",
"version": "52"
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"vulnrichment": {
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{
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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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