CVE-2026-63999 (GCVE-0-2026-63999)
Vulnerability from cvelistv5 – Published: 2026-07-19 14:56 – Updated: 2026-07-19 14:56
VLAI
EPSS
VEX
Title
ethtool: rss: fix indir_table and hkey leak on get_rxfh failure
Summary
In the Linux kernel, the following vulnerability has been resolved:
ethtool: rss: fix indir_table and hkey leak on get_rxfh failure
rss_prepare_get() allocates the indirection table and hash key buffer
via rss_get_data_alloc(), then calls ops->get_rxfh() to populate them.
If get_rxfh() fails, the function returns an error without freeing
the allocation.
Severity
5.5 (Medium)
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
4f038a6a02d20859a3479293cbf172b0f14cbdd6 , < 33d05c22d6f227c5ae171c46df2f6f8bf48047ea
(git)
Affected: 4f038a6a02d20859a3479293cbf172b0f14cbdd6 , < 80d95d92f828cfcace955d673637d944178b435f (git) Affected: 4f038a6a02d20859a3479293cbf172b0f14cbdd6 , < 266297692f97008ca48bc311775c087c59bd7fe3 (git) Affected: 81a5174e64ce4fb7b7a2f6499b835c904c9451ee (git) Affected: ec9faff49a4ea27731de39cb887b7e590e93157b (git) Affected: c5ed0eaddcbda56079091fc3876b140a6e70a548 (git) Affected: a065b996052656a65afc51ad82336dc55ae4c72f (git) Affected: adee9db710a6117b978a25ed4153846b7c56ec9a (git) Affected: 5eb3fdc4b6281b29e830300c866a36d90442b1f0 (git) Affected: 5.15.181 , < 5.16 (semver) Affected: 6.1.135 , < 6.2 (semver) Affected: 6.6.88 , < 6.7 (semver) Affected: 6.12.24 , < 6.13 (semver) Affected: 6.13.12 , < 6.14 (semver) Affected: 6.14.3 , < 6.15 (semver) |
guessed | |
| Linux | Linux |
Affected:
6.15
Unaffected: 0 , < 6.15 (semver) Unaffected: 6.18.35 , ≤ 6.18.* (semver) Unaffected: 7.0.12 , ≤ 7.0.* (semver) Unaffected: 7.1 , ≤ * (original_commit_for_fix) |
guessed |
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"product_status:recommended": "252",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-63999",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-63999.json",
"version": "12"
}
}
}
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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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