CVE-2022-50249 (GCVE-0-2022-50249)
Vulnerability from cvelistv5 – Published: 2025-09-15 14:02 – Updated: 2026-05-11 19:15
VLAI
EPSS
VEX
Title
memory: of: Fix refcount leak bug in of_get_ddr_timings()
Summary
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)
Assigner
References
9 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
e6b42eb6a66c188642aeb447312938c6f6ebee86 , < a4d0bd4388e1a39df47e8aaa044ef6a7ee626e48
(git)
Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < a4f7eb83852a65b6f8dea7dcc42b7c76d4d9b0a3 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 68c9c4e6495b825be3a8946df1a0148399555fe4 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 85a40bfb8e7a170abcf9dae2c0898a1983e48daa (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < daaec4b3fe2297b022c6b2d6bf48b6e5265a60b9 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 2680690f9ce4e6abbb4f559e97271c15b7eeda97 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 62ccab6e3376f8a22167c3b81468ae4f3e7d25f1 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 1c6cac6fa4d08aea161f83d38117d733b3c3a000 (git) Affected: e6b42eb6a66c188642aeb447312938c6f6ebee86 , < 05215fb32010d4afb68fbdbb4d237df6e2d4567b (git) |
guessed | |
| Linux | Linux |
Affected:
3.7
Unaffected: 0 , < 3.7 (semver) Unaffected: 4.9.331 , ≤ 4.9.* (semver) Unaffected: 4.14.296 , ≤ 4.14.* (semver) Unaffected: 4.19.262 , ≤ 4.19.* (semver) Unaffected: 5.4.220 , ≤ 5.4.* (semver) Unaffected: 5.10.150 , ≤ 5.10.* (semver) Unaffected: 5.15.75 , ≤ 5.15.* (semver) Unaffected: 5.19.17 , ≤ 5.19.* (semver) Unaffected: 6.0.3 , ≤ 6.0.* (semver) Unaffected: 6.1 , ≤ * (original_commit_for_fix) |
guessed |
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"current_release_date": "2026-07-21T19:06:46+00:00",
"cve": "CVE-2022-50249",
"id": "CVE-2022-50249",
"initial_release_date": "2022-01-01T00:00:00+00:00",
"product_status:known_affected": "108",
"product_status:known_not_affected": "166",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: memory: of: Fix refcount leak bug in of_get_ddr_timings()",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2022/cve-2022-50249.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-08-31T01:25:16Z",
"cve": "CVE-2022-50249",
"id": "CVE-2022-50249",
"initial_release_date": "2025-09-16T23:35:05Z",
"product_status:known_affected": "465",
"product_status:known_not_affected": "173",
"product_status:recommended": "325",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2022-50249",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-50249.json",
"version": "44"
}
}
}
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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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