GHSA-RFXQ-R256-5MJ8
Vulnerability from github – Published: 2026-09-24 18:31 – Updated: 2026-09-25 06:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
RDMA/umem: Be careful about boundary conditions in ib_umem_find_best_pgsz()
Several corner cases, especially important on 32 bits:
- umem->iova is u64, the function argument should pass in u64 or iova will be truncated
- Check that the length is not too large for the iova
- Check that lengths > 4G don't overflow the GENMASK
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-97421"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-24T17:17:19Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nRDMA/umem: Be careful about boundary conditions in ib_umem_find_best_pgsz()\n\nSeveral corner cases, especially important on 32 bits:\n\n- umem-\u003eiova is u64, the function argument should pass in u64 or\n iova will be truncated\n- Check that the length is not too large for the iova\n- Check that lengths \u003e 4G don\u0027t overflow the GENMASK",
"id": "GHSA-rfxq-r256-5mj8",
"modified": "2026-09-25T06:30:31Z",
"published": "2026-09-24T18:31:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-97421"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/09ea6837a0434fb4db99528a5055b6d822135dcf"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5fc5b73109540809b094710fac44da81dd8a3ff8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ae3cf7d2c4d506c5c91746321644e1a08d989e2a"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…