GHSA-CM7Q-3WQ8-GX9W
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:
RDMA/nldev: validate dynamic counter attribute length
RDMA_NLDEV_ATTR_STAT_HWCOUNTERS is a nested attribute whose children are consumed directly with nla_get_u32(). The top-level policy validates only the container, so it does not establish the fixed shape of each child.
Require every child payload to be exactly one u32 before reading it.
{
"affected": [],
"aliases": [
"CVE-2026-92523"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-17T17:17:55Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nRDMA/nldev: validate dynamic counter attribute length\n\nRDMA_NLDEV_ATTR_STAT_HWCOUNTERS is a nested attribute whose children are\nconsumed directly with nla_get_u32(). The top-level policy validates only\nthe container, so it does not establish the fixed shape of each child.\n\nRequire every child payload to be exactly one u32 before reading it.",
"id": "GHSA-cm7q-3wq8-gx9w",
"modified": "2026-09-17T18:32:08Z",
"published": "2026-09-17T18:32:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-92523"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0bfa897e3e1a61d172f95675b353168bc9290312"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/74f49255492a62658f36bf2578d7916f1c6ffad1"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7828d68ae8cad3463e38def5c91668c84e722596"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/c57e238b475e8e1e514499772b8c0db5768be93f"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d00b0d808ca706a04bd198827319a4a287eff82a"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f8e9315236c8b5155158c6955a758e7960b143e6"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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