GHSA-G7GF-5V23-7WC5
Vulnerability from github – Published: 2026-09-17 18:31 – Updated: 2026-09-18 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
nvme/ioctl: check SUBMIT_IO with nvme_cmd_allowed()
Unlike IO_CMD / IO64_CMD, NVME_IOCTL_SUBMIT_IO never calls nvme_cmd_allowed(). Unprivileged callers can thus issue I/O on a partition device or write through a read-only file descriptor.
Pass flags and open_for_write through and reject disallowed commands with -EACCES.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-90227"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:17:18Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnvme/ioctl: check SUBMIT_IO with nvme_cmd_allowed()\n\nUnlike IO_CMD / IO64_CMD, NVME_IOCTL_SUBMIT_IO never calls\nnvme_cmd_allowed(). Unprivileged callers can thus issue I/O on a\npartition device or write through a read-only file descriptor.\n\nPass flags and open_for_write through and reject disallowed commands\nwith -EACCES.",
"id": "GHSA-g7gf-5v23-7wc5",
"modified": "2026-09-18T18:31:28Z",
"published": "2026-09-17T18:31:56Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-90227"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/736b7c6adc7a65c4411beff197b6a634f7a6ca27"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/95b0591d51dbf9e618d7845883d535e88ad7c8af"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b116e9dae433ff631f94c36c61a7a78fe400ed1e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b53d495c7f0db46b6748b5ade48371a10dd5d3bc"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c35cd98eed1a863e8dd51073953563cd8c907f68"
}
],
"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"
}
]
}
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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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