GHSA-HVMV-4574-X69W
Vulnerability from github – Published: 2025-12-09 03:31 – Updated: 2025-12-09 03:31
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
mfd: dln2: Fix memory leak in dln2_probe()
When dln2_setup_rx_urbs() in dln2_probe() fails, error out_free forgets to call usb_put_dev() to decrease the refcount of dln2->usb_dev.
Fix this by adding usb_put_dev() in the error handling code of dln2_probe().
{
"affected": [],
"aliases": [
"CVE-2023-53779"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-12-09T01:16:49Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmfd: dln2: Fix memory leak in dln2_probe()\n\nWhen dln2_setup_rx_urbs() in dln2_probe() fails, error out_free forgets\nto call usb_put_dev() to decrease the refcount of dln2-\u003eusb_dev.\n\nFix this by adding usb_put_dev() in the error handling code of\ndln2_probe().",
"id": "GHSA-hvmv-4574-x69w",
"modified": "2025-12-09T03:31:10Z",
"published": "2025-12-09T03:31:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53779"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1e453cb55014367a84655203c31d57dfa87e005e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1fa3fb4f70184254af437ccd59fd1c091a90d518"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6a1a72a8cfdad6911a7167405b63545ad781fbe2"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/71fa6f134d13822a5dd906327de04aad8e903e49"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/77f43c014a770c4dcbdeed7cda6884c29382eb0f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/96da8f148396329ba769246cb8ceaa35f1ddfc48"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/aa5a8673d71124e7dcdd497ec2accebc15bd6ca3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fa045c911f0bfc0305c71618ab5630153faf86a4"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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
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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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