GHSA-346V-HCMM-349W
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:
tty: clear cdev pointer after cdev_add() failure
tty_cdev_add() drops the cdev reference when cdev_add() fails, but leaves driver->cdevs[index] pointing to freed memory. tty_unregister_device() later passes that stale pointer to cdev_del(), causing a use-after-free.
Clear the slot after dropping the reference.
{
"affected": [],
"aliases": [
"CVE-2026-90334"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:17:31Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ntty: clear cdev pointer after cdev_add() failure\n\ntty_cdev_add() drops the cdev reference when cdev_add() fails, but\nleaves driver-\u003ecdevs[index] pointing to freed memory.\ntty_unregister_device() later passes that stale pointer to cdev_del(),\ncausing a use-after-free.\n\nClear the slot after dropping the reference.",
"id": "GHSA-346v-hcmm-349w",
"modified": "2026-09-17T18:32:02Z",
"published": "2026-09-17T18:32:02Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-90334"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/33a44333a9dfda044b0e233399b12ead7f8a90ae"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4f6bd79bb7e55095f09bec9b4eb6c09df1306116"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5c5a795bf6248fe96f96dd9fd79d66bbb4a92077"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6645856f0df3aeecd45519cb611415b4b89c2223"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a83fcddf3c75d004f12aa13555bb73da19fb75a9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d331c63570af61ef7aaf516b64a8d6f47518a3a4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e9e64dd02fd68776afda00777591eca0c3984285"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fb1de260033c215dba438973d82b48562bdc86bb"
}
],
"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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