GHSA-2PCP-QX27-WF69
Vulnerability from github – Published: 2026-09-11 21:31 – Updated: 2026-09-14 15:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
wifi: mt76: mt7996: validate default EEPROM firmware size
The default EEPROM firmware is parsed and copied as a full EEPROM without checking its length. A truncated file can make the driver read beyond the firmware buffer during variant validation or the fallback copy.
Reject files shorter than MT7996_EEPROM_SIZE before parsing or copying the firmware.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-80933"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-11T20:18:57Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: mt76: mt7996: validate default EEPROM firmware size\n\nThe default EEPROM firmware is parsed and copied as a full EEPROM\nwithout checking its length. A truncated file can make the driver\nread beyond the firmware buffer during variant validation or the\nfallback copy.\n\nReject files shorter than MT7996_EEPROM_SIZE before parsing or\ncopying the firmware.",
"id": "GHSA-2pcp-qx27-wf69",
"modified": "2026-09-14T15:32:20Z",
"published": "2026-09-11T21:31:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80933"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/03b81f015dbb29807ce1ec6d45537d658abdac69"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/127a291f4c8069a4e71906938402cacfe24ee8cd"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/653c6e289b13cc6942f3e8f8e3c568e70fa42d1f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7074ec3769820302f1ccf8794a40a6582153b820"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b4bf67cc0871b13103c404b38e332b9d4403a0da"
}
],
"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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