FKIE_CVE-2026-90370
Vulnerability from fkie_nvd - Published: 2026-09-17 17:17 - Updated: 2026-09-17 17:17
Severity
Summary
In the Linux kernel, the following vulnerability has been resolved:
wifi: mt76: mt7996: bound TLV walk in mt7996_mcu_get_chip_config
The response TLV loop advanced by tlv->len without a minimum, so a
theoretical firmware response containing a zero-length TLV could spin
forever, hanging the CPU during device probe.
The u32 payload was also read without bounds checking.
Reject a short fixed field, stop on a TLV whose length underruns the
header or overruns the skb.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Linux",
"programFiles": [
"drivers/net/wireless/mediatek/mt76/mt7996/mcu.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"lessThan": "3106f62809d45c1e6aadfad1f4d7c3f74cd53a96",
"status": "affected",
"version": "5d33053be609abfcfa9f5ca75d5554f2109aa40b",
"versionType": "git"
},
{
"lessThan": "39aa6b853b6d69dd1fee3507efdb3c277b7c53e6",
"status": "affected",
"version": "5d33053be609abfcfa9f5ca75d5554f2109aa40b",
"versionType": "git"
},
{
"lessThan": "d0bb2189ade617e624f3c8f444ebb05f59bb2524",
"status": "affected",
"version": "5d33053be609abfcfa9f5ca75d5554f2109aa40b",
"versionType": "git"
},
{
"lessThan": "93eaddfdd35aa6bfe570c087db4e97fb9d8a791a",
"status": "affected",
"version": "5d33053be609abfcfa9f5ca75d5554f2109aa40b",
"versionType": "git"
},
{
"lessThan": "44af52467e72094351a362bf69effd52f1d9c186",
"status": "affected",
"version": "5d33053be609abfcfa9f5ca75d5554f2109aa40b",
"versionType": "git"
}
]
},
{
"defaultStatus": "affected",
"product": "Linux",
"programFiles": [
"drivers/net/wireless/mediatek/mt76/mt7996/mcu.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"status": "affected",
"version": "6.3"
},
{
"lessThan": "6.3",
"status": "unaffected",
"version": "0",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.6.*",
"status": "unaffected",
"version": "6.6.157",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.12.*",
"status": "unaffected",
"version": "6.12.110",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.18.*",
"status": "unaffected",
"version": "6.18.52",
"versionType": "semver"
},
{
"lessThanOrEqual": "7.2.*",
"status": "unaffected",
"version": "7.2.6",
"versionType": "semver"
},
{
"lessThanOrEqual": "*",
"status": "unaffected",
"version": "7.3-rc1",
"versionType": "original_commit_for_fix"
}
]
}
],
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In the Linux kernel, the following vulnerability has been resolved:\n\nwifi: mt76: mt7996: bound TLV walk in mt7996_mcu_get_chip_config\n\nThe response TLV loop advanced by tlv-\u003elen without a minimum, so a\ntheoretical firmware response containing a zero-length TLV could spin\nforever, hanging the CPU during device probe.\nThe u32 payload was also read without bounds checking.\nReject a short fixed field, stop on a TLV whose length underruns the\nheader or overruns the skb."
}
],
"id": "CVE-2026-90370",
"lastModified": "2026-09-17T17:17:36.147",
"metrics": {},
"published": "2026-09-17T17:17:36.147",
"references": [
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/3106f62809d45c1e6aadfad1f4d7c3f74cd53a96"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/39aa6b853b6d69dd1fee3507efdb3c277b7c53e6"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/44af52467e72094351a362bf69effd52f1d9c186"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/93eaddfdd35aa6bfe570c087db4e97fb9d8a791a"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"url": "https://git.kernel.org/stable/c/d0bb2189ade617e624f3c8f444ebb05f59bb2524"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Received"
}
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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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