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EUVD-2026-320756
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 07:42
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T07:42:39.396496+00:00",
"id": "EUVD-2026-320756"
}
CVE-2024-56780 (GCVE-0-2024-56780)
Vulnerability from cvelistv5 – Published: 2025-01-08 17:49 – Updated: 2026-05-23 15:56
VLAI
EPSS
VEX
Title
quota: flush quota_release_work upon quota writeback
Summary
In the Linux kernel, the following vulnerability has been resolved:
quota: flush quota_release_work upon quota writeback
One of the paths quota writeback is called from is:
freeze_super()
sync_filesystem()
ext4_sync_fs()
dquot_writeback_dquots()
Since we currently don't always flush the quota_release_work queue in
this path, we can end up with the following race:
1. dquot are added to releasing_dquots list during regular operations.
2. FS Freeze starts, however, this does not flush the quota_release_work queue.
3. Freeze completes.
4. Kernel eventually tries to flush the workqueue while FS is frozen which
hits a WARN_ON since transaction gets started during frozen state:
ext4_journal_check_start+0x28/0x110 [ext4] (unreliable)
__ext4_journal_start_sb+0x64/0x1c0 [ext4]
ext4_release_dquot+0x90/0x1d0 [ext4]
quota_release_workfn+0x43c/0x4d0
Which is the following line:
WARN_ON(sb->s_writers.frozen == SB_FREEZE_COMPLETE);
Which ultimately results in generic/390 failing due to dmesg
noise. This was detected on powerpc machine 15 cores.
To avoid this, make sure to flush the workqueue during
dquot_writeback_dquots() so we dont have any pending workitems after
freeze.
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-01 19:56 UTC
Assigner
References
9 references
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Linux | Linux |
Affected:
d40c192e119892799dd4ddf94f5cea6fa93775ef , < a5abba5e0e586e258ded3e798fe5f69c66fec198
(git)
Affected: 86d89987f0998c98f57d641e308b40452a994045 , < 6f3821acd7c3143145999248087de5fb4b48cf26 (git) Affected: 89602de9a2d7080b7a4029d5c1bf8f78d295ff5f , < ab6cfcf8ed2c7496f55d020b65b1d8cd55d9a2cb (git) Affected: 3027e200dd58d5b437f16634dbbd355b29ffe0a6 , < 3e6ff207cd5bd924ad94cd1a7c633bcdac0ba1cb (git) Affected: dabc8b20756601b9e1cc85a81d47d3f98ed4d13a , < bcacb52a985f1b6d280f698a470b873dfe52728a (git) Affected: dabc8b20756601b9e1cc85a81d47d3f98ed4d13a , < 8ea87e34792258825d290f4dc5216276e91cb224 (git) Affected: dabc8b20756601b9e1cc85a81d47d3f98ed4d13a , < ac6f420291b3fee1113f21d612fa88b628afab5b (git) Affected: f3e9a2bbdeb8987508dd6bb2b701dea911d4daec (git) Affected: 903fc5d8cb48b0d2de7095ef40e39fd32bb27bd0 (git) Affected: 31bed65eecbc5ce57592cfe31947eaa64e3d678e (git) Affected: 5.4.257 , < 5.4.287 (semver) Affected: 5.10.195 , < 5.10.231 (semver) Affected: 5.15.132 , < 5.15.174 (semver) Affected: 6.1.53 , < 6.1.120 (semver) Affected: 4.19.295 , < 4.20 (semver) Affected: 6.4.16 , < 6.5 (semver) Affected: 6.5.3 , < 6.6 (semver) |
|
| Linux | Linux |
Affected:
6.6
Unaffected: 0 , < 6.6 (semver) Unaffected: 5.4.287 , ≤ 5.4.* (semver) Unaffected: 5.10.231 , ≤ 5.10.* (semver) Unaffected: 5.15.174 , ≤ 5.15.* (semver) Unaffected: 6.1.120 , ≤ 6.1.* (semver) Unaffected: 6.6.64 , ≤ 6.6.* (semver) Unaffected: 6.12.4 , ≤ 6.12.* (semver) Unaffected: 6.13 , ≤ * (original_commit_for_fix) |
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"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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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