GHSA-84X6-2366-7JJM
Vulnerability from github – Published: 2024-06-21 12:31 – Updated: 2024-09-09 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
stm class: Fix a double free in stm_register_device()
The put_device(&stm->dev) call will trigger stm_device_release() which frees "stm" so the vfree(stm) on the next line is a double free.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2024-38627"
],
"database_specific": {
"cwe_ids": [
"CWE-415"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-06-21T11:15:11Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nstm class: Fix a double free in stm_register_device()\n\nThe put_device(\u0026stm-\u003edev) call will trigger stm_device_release() which\nfrees \"stm\" so the vfree(stm) on the next line is a double free.",
"id": "GHSA-84x6-2366-7jjm",
"modified": "2024-09-09T15:30:37Z",
"published": "2024-06-21T12:31:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-38627"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/370c480410f60b90ba3e96abe73ead21ec827b20"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3df463865ba42b8f88a590326f4c9ea17a1ce459"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4bfd48bb6e62512b9c392c5002c11e1e3b18d247"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6cc30ef8eb6d8f8d6df43152264bbf8835d99931"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/713fc00c571dde4af3db2dbd5d1b0eadc327817b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7419df1acffbcc90037f6b5a2823e81389659b36"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a0450d3f38e7c6c0a7c0afd4182976ee15573695"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d782a2db8f7ac49c33b9ca3e835500a28667d1be"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2024/06/msg00020.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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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