GHSA-HXMX-3V2P-JPHH
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: ath11k: fix potential buffer underflow in ath11k_hal_rx_msdu_list_get()
When the first entry in msdu_details has a zero buffer address, the code accesses msdu_details[i - 1] with i == 0, causing a buffer underflow.
Fix similarly to ath12k_wifi7_hal_rx_msdu_list_get() by adding a separate check for i == 0 before the main condition to prevent the out-of-bounds access.
Found by Linux Verification Center (linuxtesting.org) with SVACE.
{
"affected": [],
"aliases": [
"CVE-2026-68355"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:27Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: ath11k: fix potential buffer underflow in ath11k_hal_rx_msdu_list_get()\n\nWhen the first entry in msdu_details has a zero buffer address,\nthe code accesses msdu_details[i - 1] with i == 0, causing a\nbuffer underflow.\n\nFix similarly to ath12k_wifi7_hal_rx_msdu_list_get() by adding\na separate check for i == 0 before the main condition to prevent\nthe out-of-bounds access.\n\nFound by Linux Verification Center (linuxtesting.org) with SVACE.",
"id": "GHSA-hxmx-3v2p-jphh",
"modified": "2026-08-19T18:32:16Z",
"published": "2026-08-10T15:33:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68355"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/085a5fde5bac29c01059e69399b417e91c0a6c18"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/20d18a5ec6ec364fcaf0d03af6fc43dcc42c6591"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/31ea4b175bc3ab430be15834d9ee8a1ce65bee15"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/69a6a4f60b2da92c0bdfd9264b8ffe053f51f52a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/725c1c3a8c5d920a7d3f5887412f2ad8e95a74f5"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7f11e70629650ff6ea140984e5ce188b775b2683"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/904367381a922aa2dc3e8bd2488e6c9180516c7a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a154ca3c441a67d36b3a9ea63a4f11b06abe6223"
}
],
"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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