GHSA-GJMH-232W-Q2V8
Vulnerability from github – Published: 2026-09-17 18:31 – Updated: 2026-09-17 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
scsi: qla2xxx: Remove redundant VPD flash read in sysfs read path
qla2x00_sysfs_read_vpd() called ha->isp_ops->read_optrom() a second time after releasing optrom_mutex. The repeated read is redundant and, unlike the first, runs without optrom_mutex held, exposing flash access to concurrent optrom operations. Drop the duplicate call.
{
"affected": [],
"aliases": [
"CVE-2026-90285"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:17:25Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nscsi: qla2xxx: Remove redundant VPD flash read in sysfs read path\n\nqla2x00_sysfs_read_vpd() called ha-\u003eisp_ops-\u003eread_optrom() a second time\nafter releasing optrom_mutex. The repeated read is redundant and, unlike\nthe first, runs without optrom_mutex held, exposing flash access to\nconcurrent optrom operations. Drop the duplicate call.",
"id": "GHSA-gjmh-232w-q2v8",
"modified": "2026-09-17T18:31:59Z",
"published": "2026-09-17T18:31:59Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-90285"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/067504c00fe175864652764308922d99e199828f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0e4b5f8cad67eabf98da3f90b6443dcea5783ff3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5cbc49d5c4cd20c18041e86958103045216d2190"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/95e1ad3f19dfec09eb4f4273cf7079fd9b35cee6"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9b6325fc58ab877ecb97fc5642a39e071c343315"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/abe224e7077ae5d47f1208430ede4d99ae310627"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/beaf45d9a10e7c1de86dcd1cbc8dc17f930444f7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ea79c01ef23c2ec3ace8a98ada517d56763814c2"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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.
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- 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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