GHSA-9FWG-3FVG-FM8H
Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-17 06:33
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
wifi: wcn36xx: fix OOB read from firmware count in PRINT_REG_INFO indication
The firmware-controlled rsp->count field is used as the loop bound for indexing into the flexible rsp->regs[] array without validation against the message length. A count exceeding the actual data causes out-of- bounds reads from the heap-allocated message buffer.
Add a check that count fits within the received message.
Severity
8.1 (High)
{
"affected": [],
"aliases": [
"CVE-2026-74340"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:22:34Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: wcn36xx: fix OOB read from firmware count in PRINT_REG_INFO indication\n\nThe firmware-controlled rsp-\u003ecount field is used as the loop bound for\nindexing into the flexible rsp-\u003eregs[] array without validation against\nthe message length. A count exceeding the actual data causes out-of-\nbounds reads from the heap-allocated message buffer.\n\nAdd a check that count fits within the received message.",
"id": "GHSA-9fwg-3fvg-fm8h",
"modified": "2026-08-17T06:33:39Z",
"published": "2026-08-15T06:32:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74340"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0907c06dccae9e3c8d5a68eb9014beec73a36e79"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/22b0b8572a64362531dd0ed499b75e16282aeb2b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/23d210877968657bd07e1a517e0b516db20a1d80"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3cf92b44c4fb88a5e8de8733a4494c0956606bca"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/64228dfc4247aca178c01e5a37af7d8dcc7a6089"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/df2187acfca6c6cca372c5d35f42394d9c270b09"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f03782f7f41f2afee5076a1ef08ced5649218771"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f987efff29a5fe45320ea5991c9d5cb98b676953"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/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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