GHSA-2HMF-4J5W-6VM3
Vulnerability from github – Published: 2024-06-19 15:30 – Updated: 2024-09-19 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
RDMA/hns: Modify the print level of CQE error
Too much print may lead to a panic in kernel. Change ibdev_err() to ibdev_err_ratelimited(), and change the printing level of cqe dump to debug level.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-38590"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-06-19T14:15:19Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nRDMA/hns: Modify the print level of CQE error\n\nToo much print may lead to a panic in kernel. Change ibdev_err() to\nibdev_err_ratelimited(), and change the printing level of cqe dump\nto debug level.",
"id": "GHSA-2hmf-4j5w-6vm3",
"modified": "2024-09-19T15:30:48Z",
"published": "2024-06-19T15:30:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-38590"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/06cf121346bbd3d83a5eea05bb87666c6b279990"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/17f3741c65c4a042ae8ba094068b07a4b77e213c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/349e859952285ab9689779fb46de163f13f18f43"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/45b31be4dd22827903df15c548b97b416790139b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6f541a89ced8305da459e3ab0006e7528cf7da7b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/817a10a6df9354e67561922d2b7fce48dfbebc55"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cc699b7eb2bc963c12ffcd37f80f45330d2924bd"
}
],
"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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