GHSA-MGWQ-29PQ-CQ6W
Vulnerability from github – Published: 2026-08-15 06:32 – Updated: 2026-08-15 06:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
gpu: host1x: Fix device reference leak in host1x_device_parse_dt() error path
After device_initialize(), the embedded struct device in struct host1x_device should be released through the device core with put_device().
In host1x_device_add(), if host1x_device_parse_dt() fails, the current error path frees the object directly with kfree(device). That bypasses the normal device lifetime handling and leaks the reference held on the embedded struct device.
The issue was identified by a static analysis tool I developed and confirmed by manual review.
Fix this by using put_device() in the host1x_device_parse_dt() failure path.
{
"affected": [],
"aliases": [
"CVE-2026-72245"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T06:21:51Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ngpu: host1x: Fix device reference leak in host1x_device_parse_dt() error path\n\nAfter device_initialize(), the embedded struct device in struct\nhost1x_device should be released through the device core with\nput_device().\n\nIn host1x_device_add(), if host1x_device_parse_dt() fails, the current\nerror path frees the object directly with kfree(device). That bypasses\nthe normal device lifetime handling and leaks the reference held on the\nembedded struct device.\n\nThe issue was identified by a static analysis tool I developed and\nconfirmed by manual review.\n\nFix this by using put_device() in the host1x_device_parse_dt() failure\npath.",
"id": "GHSA-mgwq-29pq-cq6w",
"modified": "2026-08-15T06:32:17Z",
"published": "2026-08-15T06:32:17Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-72245"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3642d0a45214e3b4cf61bf5e75b04b490d0b3519"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4454caa204a2edb19c62754ddb96e5dbca0d2f49"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4ee41361c637eafa80f5d88b46d0016e6cdb24db"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8559b1501f77a5b5d003790bec170ca449e0c674"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a408d89e20d38d78f540e1951dc4c6056ad662e1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c4d6442ac3ed00041fe4e1df715717ed78a7d37f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/e75717f9aec04355777be41070890c6a815c76df"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/edc7267b59a465c6ae7c5ffac2171c30962bd325"
}
],
"schema_version": "1.4.0",
"severity": []
}
Loading…
Loading…
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.
Loading…
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.
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.
Loading…
Loading…