GHSA-76FM-3JG5-QP3H
Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-19 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
media: stm32: dcmi: unregister notifier on probe failure
dcmi_graph_init() registers the async notifier before dcmi_probe() toggles the reset line. If reset_control_assert() or reset_control_deassert() fails afterwards, probe returns through err_cleanup and the driver core will not call dcmi_remove().
Unregister the notifier before cleaning it up on that error path, matching the successful remove path and the V4L2 async notifier lifetime rules.
[hverkuil: added Fixes tag]
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-68210"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:08Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: stm32: dcmi: unregister notifier on probe failure\n\ndcmi_graph_init() registers the async notifier before dcmi_probe() toggles\nthe reset line. If reset_control_assert() or reset_control_deassert()\nfails afterwards, probe returns through err_cleanup and the driver core\nwill not call dcmi_remove().\n\nUnregister the notifier before cleaning it up on that error path,\nmatching the successful remove path and the V4L2 async notifier lifetime\nrules.\n\n[hverkuil: added Fixes tag]",
"id": "GHSA-76fm-3jg5-qp3h",
"modified": "2026-08-19T18:32:10Z",
"published": "2026-08-10T15:33:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68210"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/084973ebd67b28f0945c5d45408f86c58b540110"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/222a9301b086852b90d3b092fef436c3f4e927c4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/37ff63c5d7119cbc5c6bacdcc658add6008a8e1f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4b7ee504969e074725e439c949f2483e5fa5572a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6c6f22b7e6cbc4e8c1e359fc9b190419391c3db7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/931abe1deb65b919d23fa203d7f6d6fbd4fccd8e"
}
],
"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.
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.
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