GHSA-CQHV-GJJX-8P9M
Vulnerability from github – Published: 2024-08-17 09:30 – Updated: 2026-05-12 12:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
nvme-pci: add missing condition check for existence of mapped data
nvme_map_data() is called when request has physical segments, hence the nvme_unmap_data() should have same condition to avoid dereference.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-42276"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-08-17T09:15:08Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnvme-pci: add missing condition check for existence of mapped data\n\nnvme_map_data() is called when request has physical segments, hence\nthe nvme_unmap_data() should have same condition to avoid dereference.",
"id": "GHSA-cqhv-gjjx-8p9m",
"modified": "2026-05-12T12:32:03Z",
"published": "2024-08-17T09:30:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-42276"
},
{
"type": "WEB",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-265688.html"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3f8ec1d6b0ebd8268307d52be8301973fa5a01ec"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/70100fe721840bf6d8e5abd25b8bffe4d2e049b7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/77848b379e9f85a08048a2c8b3b4a7e8396f5f83"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7cc1f4cd90a00b6191cb8cda2d1302fdce59361c"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/be23ae63080e0bf9e246ab20207200bca6585eba"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c31fad1470389666ac7169fe43aa65bf5b7e2cfd"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d135c3352f7c947a922da93c8e763ee6bc208b64"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2024/10/msg00003.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/01/msg00001.html"
}
],
"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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