GHSA-XWJP-H426-22VM
Vulnerability from github – Published: 2026-09-17 18:32 – Updated: 2026-09-17 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
isofs: release zisofs block pointer buffer head
zisofs_fill_pages() reads the compressed block pointer table. The error paths release the current buffer_head, the loop also releases the old buffer_head when it advances. However, the success path leaves the last buffer_head referenced. Release it before returning success.
{
"affected": [],
"aliases": [
"CVE-2026-90434"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:17:48Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nisofs: release zisofs block pointer buffer head\n\nzisofs_fill_pages() reads the compressed block pointer table. The error\npaths release the current buffer_head, the loop also releases the old\nbuffer_head when it advances. However, the success path leaves the last\nbuffer_head referenced. Release it before returning success.",
"id": "GHSA-xwjp-h426-22vm",
"modified": "2026-09-17T18:32:05Z",
"published": "2026-09-17T18:32:05Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-90434"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0c2c54a7d174edc845f7bae24179fe72a926d10f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/106e1a3b2b3454fbda63a59e9290cb9a253f81aa"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2f7dd9b86fe4076059e6a4a2a2c5d565afd76b9e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3371d30a97a257b7b5f2c8009612e9d452180f0a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5677737c2cedf417c0fcf61540b9cef0e62273d4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/dbcc7d1b818162aeab2e97fd217d86546d9fde15"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ec33e6b7a1de20d7e623b12633191a855445657d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f2a1611065c700a374b31c5cc8a7587f5e3bfe73"
}
],
"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.
- 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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