GHSA-24FG-X37M-25C7
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:
USB: c67x00: fix use-after-free in c67x00_add_iso_urb()
When TD creation fails for the last packet of an isochronous URB, c67x00_add_iso_urb() gives the URB back before updating the endpoint scheduling state.
c67x00_giveback_urb() frees the URB private data, and the completion callback may release the final URB reference. The following accesses to urbp->ep_data, urb->interval, and urbp->cnt can therefore use freed memory.
Update next_frame and cnt before giving back the failed final packet, making the giveback the last operation that uses the URB and its private data.
{
"affected": [],
"aliases": [
"CVE-2026-80826"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-04T16:18:10Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nUSB: c67x00: fix use-after-free in c67x00_add_iso_urb()\n\nWhen TD creation fails for the last packet of an isochronous URB,\nc67x00_add_iso_urb() gives the URB back before updating the endpoint\nscheduling state.\n\nc67x00_giveback_urb() frees the URB private data, and the completion\ncallback may release the final URB reference. The following accesses to\nurbp-\u003eep_data, urb-\u003einterval, and urbp-\u003ecnt can therefore use freed\nmemory.\n\nUpdate next_frame and cnt before giving back the failed final packet,\nmaking the giveback the last operation that uses the URB and its private\ndata.",
"id": "GHSA-24fg-x37m-25c7",
"modified": "2026-09-04T18:31:27Z",
"published": "2026-09-04T18:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-80826"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/62cd519ab74cac499036cd88c11692f8f0d53e14"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7983daa159981fac125db2457437723f38ea1472"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ade18b4ce78a16558f4f435aece80082f6f7b64c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b1e24de475bf2d66fffc9103f3444b783527d55a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b4cb8081cf80f82e48fbe9c021a8f6d0fa2ed421"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/bb572801290e25ec1c4753d14af35777303f5d6b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e4039e9bebb528dd9cd7ac72aeaec529c26c355a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f24dcc61bd0ecf7639fac5bf700450b398d793a7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ff172092cba7ec990ecc7b610ce703e19570b8f0"
}
],
"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.
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.
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