CVE-2026-64123 (GCVE-0-2026-64123)
Vulnerability from cvelistv5 – Published: 2026-07-19 15:40 – Updated: 2026-08-05 12:39
VLAI
EPSS
VEX
Title
net: hsr: defer node table free until after RCU readers
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: hsr: defer node table free until after RCU readers
HSR node-list and node-status generic-netlink operations run under
rcu_read_lock(). They walk hsr->node_db through hsr_get_next_node() and
hsr_get_node_data(), but RTM_DELLINK teardown removes the same node table
with plain list_del() and frees each node immediately.
That lets a generic-netlink reader hold a struct hsr_node pointer across
hsr_dellink(). In a KASAN build, widening the reader window after
hsr_get_next_node() obtains the node reproduces a slab-use-after-free
when the reader copies node->macaddress_A; the freeing stack is
hsr_del_nodes() from hsr_dellink().
Use list_del_rcu() and defer the free through the existing
hsr_free_node_rcu() callback. This matches the lifetime rule used by the
HSR prune paths, which already delete nodes with list_del_rcu() and
call_rcu().
Severity
7.8 (High)
Assigner
References
7 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < 0ea70fb46940620848c08d9d399455c9e82fecdb
(git)
Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < 8be6685cdd1255bcc85f9b59e4bfc313aefc5c1b (git) Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < c5580114e0492bcd2e0a37613ed4c311e3fa3d4d (git) Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < 7713f4aafb577ff49fa67f0488d9c7dddc64d6ce (git) Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < 6324423a8e6591f41a16c09a8f9a84e554ac147c (git) Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < 8c3af18bb0d7c921a5219194037509463eb2ffde (git) Affected: b9a1e627405d68d475a3c1f35e685ccfb5bbe668 , < aaec7096f9961eb223b5b149abe9495525c205d9 (git) Affected: 08523d5a2f4a9e4202e00d282c164d453cabe2d2 (git) Affected: 5.2.12 , < 5.3 (semver) |
guessed | |
| Linux | Linux |
Affected:
5.3
Unaffected: 0 , < 5.3 (semver) Unaffected: 5.10.259 , ≤ 5.10.* (semver) Unaffected: 5.15.210 , ≤ 5.15.* (semver) Unaffected: 6.1.176 , ≤ 6.1.* (semver) Unaffected: 6.6.143 , ≤ 6.6.* (semver) Unaffected: 6.12.93 , ≤ 6.12.* (semver) Unaffected: 7.0.11 , ≤ 7.0.* (semver) Unaffected: 7.1 , ≤ * (original_commit_for_fix) |
guessed |
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"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/8c3af18bb0d7c921a5219194037509463eb2ffde"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/aaec7096f9961eb223b5b149abe9495525c205d9"
},
{
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/c5580114e0492bcd2e0a37613ed4c311e3fa3d4d"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-416"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-07-20T16:47:47+00:00",
"cve": "CVE-2026-64123",
"id": "CVE-2026-64123",
"initial_release_date": "2026-07-19T00:00:00+00:00",
"product_status:known_affected": "184",
"product_status:known_not_affected": "91",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: net: hsr: defer node table free until after RCU readers",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-64123.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-09-15T01:55:03Z",
"cve": "CVE-2026-64123",
"id": "CVE-2026-64123",
"initial_release_date": "2026-07-21T12:59:17Z",
"product_status:known_affected": "277",
"product_status:known_not_affected": "97",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2026-64123",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-64123.json",
"version": "6"
}
}
}
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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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