GHSA-RFM8-6V7M-6RJ9
Vulnerability from github – Published: 2026-08-15 15:30 – Updated: 2026-08-15 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
Bluetooth: btintel: Validate length before parsing diagnostics TLV
btintel_diagnostics() accesses tlv->val[0] without first validating that the diagnostics VSE is long enough to contain that field, so may cause reading data beyond the received frame.
Fix by validating the length before access.
{
"affected": [],
"aliases": [
"CVE-2026-74532"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T13:17:58Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nBluetooth: btintel: Validate length before parsing diagnostics TLV\n\nbtintel_diagnostics() accesses tlv-\u003eval[0] without first validating\nthat the diagnostics VSE is long enough to contain that field, so\nmay cause reading data beyond the received frame.\n\nFix by validating the length before access.",
"id": "GHSA-rfm8-6v7m-6rj9",
"modified": "2026-08-15T15:30:35Z",
"published": "2026-08-15T15:30:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74532"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6ec9c3dc52302b891513f608f5fb478349b15ab3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b640ff9af3c809ff5ea2077fbba17df1594ec1e4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c31be902ccbbb0b2c23159a1481dce80d1f9753d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c618a9a5b08ea2e17bddf4e948be9f75d408fca4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/dd20e30bdbd707ea8ced581f3d7f9e9854634b17"
}
],
"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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