GHSA-MQ3C-V59W-HJF6
Vulnerability from github – Published: 2025-03-27 18:31 – Updated: 2025-04-15 15:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
drm/drm_vma_manager: Add drm_vma_node_allow_once()
Currently there is no easy way for a drm driver to safely check and allow drm_vma_offset_node for a drm file just once. Allow drm drivers to call non-refcounted version of drm_vma_node_allow() so that a driver doesn't need to keep track of each drm_vma_node_allow() to call subsequent drm_vma_node_revoke() to prevent memory leak.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-53001"
],
"database_specific": {
"cwe_ids": [
"CWE-401"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-03-27T17:15:48Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ndrm/drm_vma_manager: Add drm_vma_node_allow_once()\n\nCurrently there is no easy way for a drm driver to safely check and allow\ndrm_vma_offset_node for a drm file just once. Allow drm drivers to call\nnon-refcounted version of drm_vma_node_allow() so that a driver doesn\u0027t\nneed to keep track of each drm_vma_node_allow() to call subsequent\ndrm_vma_node_revoke() to prevent memory leak.",
"id": "GHSA-mq3c-v59w-hjf6",
"modified": "2025-04-15T15:30:52Z",
"published": "2025-03-27T18:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53001"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/67444f8ca31cdaf45e0b761241ad49b1ae04bcf9"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/899d3a3c19ac0e5da013ce34833dccb97d19b5e4"
}
],
"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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