CVE-2026-23013 (GCVE-0-2026-23013)
Vulnerability from cvelistv5 – Published: 2026-01-25 14:36 – Updated: 2026-08-05 12:20
VLAI
EPSS
VEX
Title
net: octeon_ep_vf: fix free_irq dev_id mismatch in IRQ rollback
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: octeon_ep_vf: fix free_irq dev_id mismatch in IRQ rollback
octep_vf_request_irqs() requests MSI-X queue IRQs with dev_id set to
ioq_vector. If request_irq() fails part-way, the rollback loop calls
free_irq() with dev_id set to 'oct', which does not match the original
dev_id and may leave the irqaction registered.
This can keep IRQ handlers alive while ioq_vector is later freed during
unwind/teardown, leading to a use-after-free or crash when an interrupt
fires.
Fix the error path to free IRQs with the same ioq_vector dev_id used
during request_irq().
Severity
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
1cd3b407977c3ab1d2ddc26cb7113e7fb1509cd1 , < aa05a8371ae4a452df623f7202c72409d3c50e40
(git)
Affected: 1cd3b407977c3ab1d2ddc26cb7113e7fb1509cd1 , < aa4c066229b05fc3d3c5f42693d25b1828533b6e (git) Affected: 1cd3b407977c3ab1d2ddc26cb7113e7fb1509cd1 , < f93fc5d12d69012788f82151bee55fce937e1432 (git) |
guessed | |
| Linux | Linux |
Affected:
6.9
Unaffected: 0 , < 6.9 (semver) Unaffected: 6.12.67 , ≤ 6.12.* (semver) Unaffected: 6.18.7 , ≤ 6.18.* (semver) Unaffected: 6.19 , ≤ * (original_commit_for_fix) |
guessed |
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}
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"id": "CVE-2026-23013",
"lastModified": "2026-06-17T10:20:42.630",
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"current_release_date": "2026-06-30T09:37:44+00:00",
"cve": "CVE-2026-23013",
"id": "CVE-2026-23013",
"initial_release_date": "2026-01-25T00:00:00+00:00",
"product_status:known_affected": "184",
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"source": "Red Hat CSAF VEX",
"status": "final",
"title": "kernel: net: octeon_ep_vf: fix free_irq dev_id mismatch in IRQ rollback",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-23013.json",
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"id": "CVE-2026-23013",
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"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-23013.json",
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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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