CVE-2025-37740 (GCVE-0-2025-37740)
Vulnerability from cvelistv5 – Published: 2025-05-01 12:55 – Updated: 2026-05-11 21:14
VLAI
EPSS
VEX
Title
jfs: add sanity check for agwidth in dbMount
Summary
In the Linux kernel, the following vulnerability has been resolved:
jfs: add sanity check for agwidth in dbMount
The width in dmapctl of the AG is zero, it trigger a divide error when
calculating the control page level in dbAllocAG.
To avoid this issue, add a check for agwidth in dbAllocAG.
Severity
5.5 (Medium)
Assigner
References
11 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < a065cec230aa807c18828a3eee82f1c8592c2adf
(git)
Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < 722e72f7f9c69fcb3ab7988c2471feff7a4c8de1 (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < a741f29ac8b6374c9904be8b7ac7cdfcd7e7e4fa (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < a260bf14cd347878f01f70739ba829442a474a16 (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < cc0bc4cb62ce5fa0c383e3bf0765d01f46bd49ac (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < ccd97c8a4f90810f228ee40d1055148fa146dd57 (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < c8c96a9e7660e5e5eea445978fe8f2e432d91c1f (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < e3f85edb03183fb06539e5b50dd2c4bb42b869f0 (git) Affected: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 , < ddf2846f22e8575d6b4b6a66f2100f168b8cd73d (git) |
guessed | |
| Linux | Linux |
Affected:
2.6.12
Unaffected: 0 , < 2.6.12 (semver) Unaffected: 5.4.293 , ≤ 5.4.* (semver) Unaffected: 5.10.237 , ≤ 5.10.* (semver) Unaffected: 5.15.181 , ≤ 5.15.* (semver) Unaffected: 6.1.135 , ≤ 6.1.* (semver) Unaffected: 6.6.88 , ≤ 6.6.* (semver) Unaffected: 6.12.24 , ≤ 6.12.* (semver) Unaffected: 6.13.12 , ≤ 6.13.* (semver) Unaffected: 6.14.3 , ≤ 6.14.* (semver) Unaffected: 6.15 , ≤ * (original_commit_for_fix) |
guessed |
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"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/cc0bc4cb62ce5fa0c383e3bf0765d01f46bd49ac"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/ccd97c8a4f90810f228ee40d1055148fa146dd57"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/ddf2846f22e8575d6b4b6a66f2100f168b8cd73d"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/e3f85edb03183fb06539e5b50dd2c4bb42b869f0"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List"
],
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00030.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mailing List"
],
"url": "https://lists.debian.org/debian-lts-announce/2025/05/msg00045.html"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-369"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-30T00:34:32+00:00",
"cve": "CVE-2025-37740",
"id": "CVE-2025-37740",
"initial_release_date": "2025-05-01T00:00:00+00:00",
"product_status:known_affected": "14",
"product_status:known_not_affected": "260",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: jfs: add sanity check for agwidth in dbMount",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-37740.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-08-29T01:22:11Z",
"cve": "CVE-2025-37740",
"id": "CVE-2025-37740",
"initial_release_date": "2025-05-02T02:03:12Z",
"product_status:known_affected": "707",
"product_status:known_not_affected": "190",
"product_status:recommended": "318",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2025-37740",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2025-37740.json",
"version": "41"
}
}
}
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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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