CVE-2026-22984 (GCVE-0-2026-22984)
Vulnerability from cvelistv5 – Published: 2026-01-23 15:24 – Updated: 2026-08-05 12:19
VLAI
EPSS
VEX
Title
libceph: prevent potential out-of-bounds reads in handle_auth_done()
Summary
In the Linux kernel, the following vulnerability has been resolved:
libceph: prevent potential out-of-bounds reads in handle_auth_done()
Perform an explicit bounds check on payload_len to avoid a possible
out-of-bounds access in the callout.
[ idryomov: changelog ]
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-16 20:34 UTC
Assigner
References
6 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
cd1a677cad994021b19665ed476aea63f5d54f31 , < 194cfe2af4d2a1de599d39dad636b47c2f6c2c96
(git)
Affected: cd1a677cad994021b19665ed476aea63f5d54f31 , < 79fe3511db416d2f2edcfd93569807cb02736e5e (git) Affected: cd1a677cad994021b19665ed476aea63f5d54f31 , < ef208ea331ef688729f64089b895ed1b49e842e3 (git) Affected: cd1a677cad994021b19665ed476aea63f5d54f31 , < 2802ef3380fa8c4a08cda51ec1f085b1a712e9e2 (git) Affected: cd1a677cad994021b19665ed476aea63f5d54f31 , < 2d653bb63d598ae4b096dd678744bdcc34ee89e8 (git) Affected: cd1a677cad994021b19665ed476aea63f5d54f31 , < 818156caffbf55cb4d368f9c3cac64e458fb49c9 (git) |
guessed | |
| Linux | Linux |
Affected:
5.11
Unaffected: 0 , < 5.11 (semver) Unaffected: 5.15.198 , ≤ 5.15.* (semver) Unaffected: 6.1.161 , ≤ 6.1.* (semver) Unaffected: 6.6.121 , ≤ 6.6.* (semver) Unaffected: 6.12.66 , ≤ 6.12.* (semver) Unaffected: 6.18.6 , ≤ 6.18.* (semver) Unaffected: 6.19 , ≤ * (original_commit_for_fix) |
guessed |
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},
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}
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"timestamp": "2026-06-16T20:34:59.073775Z",
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],
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},
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},
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],
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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{
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{
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{
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],
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"cveId": "CVE-2026-22984",
"datePublished": "2026-01-23T15:24:06.245Z",
"dateReserved": "2026-01-13T15:37:45.936Z",
"dateUpdated": "2026-06-16T20:35:08.838Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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