GHSA-Q3PM-8XXP-WW85
Vulnerability from github – Published: 2026-09-04 18:31 – Updated: 2026-09-04 18:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
rndis_host: add overflow check in rndis_rx_fixup()
Add an overflow check to ensure that data_offset + data_len + 8 does not wrap, which would enable an OOB read of the USB data buffer.
{
"affected": [],
"aliases": [
"CVE-2026-80814"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-04T16:18:08Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nrndis_host: add overflow check in rndis_rx_fixup()\n\nAdd an overflow check to ensure that data_offset + data_len + 8 does not\nwrap, which would enable an OOB read of the USB data buffer.",
"id": "GHSA-q3pm-8xxp-ww85",
"modified": "2026-09-04T18:31:27Z",
"published": "2026-09-04T18:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80814"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/10a6b99079697c5027b25352e882bdf54fef702a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2140db1232af04b92faa6c4a2a40df6371ea89ff"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/2ded89ca77fae1da6886fe94831acfe4d6aa80b1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8ca3bd404d076495ed0b274b65971c57b6fd5ac0"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/965a251f23ff69cfb4486974d4532e9bb551c7fc"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/be7dc3650f799a253df4edd4fe230fc9ea4be063"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c5398ce6db7647b7004d73a3102ccc25fb4bb596"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e971d956353d382ee2185d71c47b538501a43f76"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f8e6fde5db87f855e99b200e392467274f0eb9d7"
}
],
"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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