CVE-2023-52522 (GCVE-0-2023-52522)
Vulnerability from cvelistv5 – Published: 2024-03-02 21:52 – Updated: 2026-08-05 09:10
VLAI
EPSS
VEX
Title
net: fix possible store tearing in neigh_periodic_work()
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: fix possible store tearing in neigh_periodic_work()
While looking at a related syzbot report involving neigh_periodic_work(),
I found that I forgot to add an annotation when deleting an
RCU protected item from a list.
Readers use rcu_deference(*np), we need to use either
rcu_assign_pointer() or WRITE_ONCE() on writer side
to prevent store tearing.
I use rcu_assign_pointer() to have lockdep support,
this was the choice made in neigh_flush_dev().
Severity
8.8 (High)
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-05 20:28 UTC
Assigner
References
6 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < 95eabb075a5902f4c0834ab1fb12dc35730c05af
(git)
Affected: 767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < 2ea52a2fb8e87067e26bbab4efb8872639240eb0 (git) Affected: 767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < 147d89ee41434b97043c2dcb17a97dc151859baa (git) Affected: 767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < f82aac8162871e87027692b36af335a2375d4580 (git) Affected: 767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < a75152d233370362eebedb2643592e7c883cc9fc (git) Affected: 767e97e1e0db0d0f3152cd2f3bd3403596aedbad , < 25563b581ba3a1f263a00e8c9a97f5e7363be6fd (git) |
guessed | |
| Linux | Linux |
Affected:
2.6.37
Unaffected: 0 , < 2.6.37 (semver) Unaffected: 5.4.258 , ≤ 5.4.* (semver) Unaffected: 5.10.198 , ≤ 5.10.* (semver) Unaffected: 5.15.135 , ≤ 5.15.* (semver) Unaffected: 6.1.57 , ≤ 6.1.* (semver) Unaffected: 6.5.7 , ≤ 6.5.* (semver) Unaffected: 6.6 , ≤ * (original_commit_for_fix) |
guessed |
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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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