GHSA-22CG-3QR6-XX65
Vulnerability from github – Published: 2026-09-17 18:32 – Updated: 2026-09-17 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
hwrng: core - fix rng list on registration error
hwrng_register(rng) does the following:
- Checks if rng has name and read methods set
- Checks if the name already exists
- Adds rng to global rng_list
- May try to set rng to current_rng
If step 4 fails, it returns an error. However, it does not remove the rng from rng_list, causing a dangling reference which can result in use-after-free if the caller frees rng, since registration failed.
Add a list_del_init() cleanup step.
{
"affected": [],
"aliases": [
"CVE-2026-93163"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:18:11Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nhwrng: core - fix rng list on registration error\n\nhwrng_register(rng) does the following:\n\n1. Checks if rng has name and read methods set\n2. Checks if the name already exists\n3. Adds rng to global rng_list\n4. May try to set rng to current_rng\n\nIf step 4 fails, it returns an error. However, it does not remove the\nrng from rng_list, causing a dangling reference which can result in\nuse-after-free if the caller frees rng, since registration failed.\n\nAdd a list_del_init() cleanup step.",
"id": "GHSA-22cg-3qr6-xx65",
"modified": "2026-09-17T18:32:12Z",
"published": "2026-09-17T18:32:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-93163"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/3a5834db2b1ce25649f330e78efe1ccde78967fd"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/bee8d1fcdc8f389b595b0a4cf6fe8440f499458a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cf293c9c7424de0d04b51367d07f40570ce80231"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/de4f1bcb61a73cc896decdbd27d61a34add93b53"
}
],
"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.
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.
Loading…
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.
Loading…