GHSA-X5CJ-F9C8-R2X6
Vulnerability from github – Published: 2026-08-15 15:30 – Updated: 2026-08-17 06:33
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
netfilter: nf_tables: make nft_object rhltable per table
The nft_object rhltable is global, this allows for accessing objects that are being dismangled from lookup path by other existing netns. Given the nft_obj_destroy() releases the object inmediately, this might lead to use-after-free of these objects that are being released. Make the existing rhltable per table to address this issue to deal with with the nft_rcv_nl_event() path too.
Update nft_obj_lookup() to take the table as non-const, otherwise, compiler complains when passing the objname_ht to rhltable_lookup().
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2026-74565"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-15T13:18:02Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnetfilter: nf_tables: make nft_object rhltable per table\n\nThe nft_object rhltable is global, this allows for accessing objects\nthat are being dismangled from lookup path by other existing netns.\nGiven the nft_obj_destroy() releases the object inmediately, this might\nlead to use-after-free of these objects that are being released.\nMake the existing rhltable per table to address this issue to deal with\nwith the nft_rcv_nl_event() path too.\n\nUpdate nft_obj_lookup() to take the table as non-const, otherwise,\ncompiler complains when passing the objname_ht to rhltable_lookup().",
"id": "GHSA-x5cj-f9c8-r2x6",
"modified": "2026-08-17T06:33:54Z",
"published": "2026-08-15T15:30:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-74565"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/1948e4f85b855618b5b9a27265f98d816f4cb7cb"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/63ba12b664a2cd3220ed43e22c717715f4cc2ae8"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/7d4789b58761d9d48d9b5f5e7e0a510c3bbfb3af"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f4f699790590bd0896c48a71e9232a65198f92f0"
}
],
"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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