GHSA-78GM-4HWW-QGR6
Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-19 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
wifi: ath6kl: fix OOB access from firmware ADDBA window size
aggr_recv_addba_req_evt() logs a debug message when the firmware-supplied win_sz is outside [AGGR_WIN_SZ_MIN, AGGR_WIN_SZ_MAX] but does not return. The out-of-range win_sz is then used in TID_WINDOW_SZ() to compute a kzalloc size and stored in rxtid->hold_q_sz, leading to zero-size or overflowed allocations and subsequent out-of-bounds access.
Clean up any previously active aggregation session for the TID first, then return early when win_sz is out of the valid range, instead of proceeding with a broken allocation size.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-68199"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:07Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: ath6kl: fix OOB access from firmware ADDBA window size\n\naggr_recv_addba_req_evt() logs a debug message when the firmware-supplied\nwin_sz is outside [AGGR_WIN_SZ_MIN, AGGR_WIN_SZ_MAX] but does not\nreturn. The out-of-range win_sz is then used in TID_WINDOW_SZ() to\ncompute a kzalloc size and stored in rxtid-\u003ehold_q_sz, leading to\nzero-size or overflowed allocations and subsequent out-of-bounds access.\n\nClean up any previously active aggregation session for the TID first,\nthen return early when win_sz is out of the valid range, instead of\nproceeding with a broken allocation size.",
"id": "GHSA-78gm-4hww-qgr6",
"modified": "2026-08-19T18:32:10Z",
"published": "2026-08-10T15:33:40Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68199"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/44126b6994eeb28f2103b638e698f40a1244f327"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/58c6c8dc2e022e1b4f3dc58725a1ca49ff470f9c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5a65fd4722416061698b0a3277222381efbc4882"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/67bc9af4f41f2bdba20404fbd753b2a1bd6dd352"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c8e3ca7954d8233fbc54bd370c1827670f43c538"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cec0a487cf38ac1f9bca240ffe8a94c5014b72f2"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d4558c140782180e2c80a7588a4af9f8675adfc4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f480d9910fcfe326db3a6281df80e83af347193e"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/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.
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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