CVE-2024-39472 (GCVE-0-2024-39472)
Vulnerability from cvelistv5 – Published: 2024-07-05 06:42 – Updated: 2026-08-05 11:33
VLAI
EPSS
VEX
Title
xfs: fix log recovery buffer allocation for the legacy h_size fixup
Summary
In the Linux kernel, the following vulnerability has been resolved:
xfs: fix log recovery buffer allocation for the legacy h_size fixup
Commit a70f9fe52daa ("xfs: detect and handle invalid iclog size set by
mkfs") added a fixup for incorrect h_size values used for the initial
umount record in old xfsprogs versions. Later commit 0c771b99d6c9
("xfs: clean up calculation of LR header blocks") cleaned up the log
reover buffer calculation, but stoped using the fixed up h_size value
to size the log recovery buffer, which can lead to an out of bounds
access when the incorrect h_size does not come from the old mkfs
tool, but a fuzzer.
Fix this by open coding xlog_logrec_hblks and taking the fixed h_size
into account for this calculation.
Severity
7.3 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 17:07 UTC
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
0c771b99d6c9a0552fea5cc43669b726dad8f659 , < f754591b17d0ee91c2b45fe9509d0cdc420527cb
(git)
Affected: 0c771b99d6c9a0552fea5cc43669b726dad8f659 , < 57835c0e7152e36b03875dd6c56dfeed685c1b1f (git) Affected: 0c771b99d6c9a0552fea5cc43669b726dad8f659 , < c2389c074973aa94e34992e7f66dac0de37595b5 (git) Affected: 0c771b99d6c9a0552fea5cc43669b726dad8f659 , < 45cf976008ddef4a9c9a30310c9b4fb2a9a6602a (git) |
guessed | |
| Linux | Linux |
Affected:
5.10
Unaffected: 0 , < 5.10 (semver) Unaffected: 5.15.165 , ≤ 5.15.* (semver) Unaffected: 6.1.105 , ≤ 6.1.* (semver) Unaffected: 6.6.46 , ≤ 6.6.* (semver) Unaffected: 6.10 , ≤ * (original_commit_for_fix) |
guessed |
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"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2024-39472.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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