GHSA-GRCX-7J3G-CV8R
Vulnerability from github – Published: 2025-05-20 18:30 – Updated: 2025-11-17 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
HID: pidff: Make sure to fetch pool before checking SIMULTANEOUS_MAX
As noted by Anssi some 20 years ago, pool report is sometimes messed up. This worked fine on many devices but casued oops on VRS DirectForce PRO.
Here, we're making sure pool report is refetched before trying to access any of it's fields. While loop was replaced with a for loop + exit conditions were moved aroud to decrease the possibility of creating an infinite loop scenario.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-37942"
],
"database_specific": {
"cwe_ids": [
"CWE-835"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-05-20T16:15:32Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nHID: pidff: Make sure to fetch pool before checking SIMULTANEOUS_MAX\n\nAs noted by Anssi some 20 years ago, pool report is sometimes messed up.\nThis worked fine on many devices but casued oops on VRS DirectForce PRO.\n\nHere, we\u0027re making sure pool report is refetched before trying to access\nany of it\u0027s fields. While loop was replaced with a for loop + exit\nconditions were moved aroud to decrease the possibility of creating an\ninfinite loop scenario.",
"id": "GHSA-grcx-7j3g-cv8r",
"modified": "2025-11-17T15:30:32Z",
"published": "2025-05-20T18:30:55Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-37942"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1f650dcec32d22deb1d6db12300a2b98483099a9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/211861869766a7bb7c72158aee0140ec67e182a7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/344d903be8b5c0733ed0f4bc5be34b4a26d905c8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a6f5d30a5c7713238c5c65c98ad95dacb73688d5"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/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.
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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