CVE-2025-40135 (GCVE-0-2025-40135)
Vulnerability from cvelistv5 – Published: 2025-11-12 10:23 – Updated: 2026-09-08 08:42
VLAI
EPSS
VEX
Title
ipv6: use RCU in ip6_xmit()
Summary
In the Linux kernel, the following vulnerability has been resolved:
ipv6: use RCU in ip6_xmit()
Use RCU in ip6_xmit() in order to use dst_dev_rcu() to prevent
possible UAF.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-16 19:58 UTC
Assigner
References
7 references
Impacted products
8 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
4a6ce2b6f2ecabbddcfe47e7cf61dd0f00b10e36 , < f0a54d00d2f36de40266f47c27989853e8588656
(git)
Affected: 4a6ce2b6f2ecabbddcfe47e7cf61dd0f00b10e36 , < f69fec6287565fdeb61f65e700a1184352306943 (git) Affected: 4a6ce2b6f2ecabbddcfe47e7cf61dd0f00b10e36 , < bd0905e2122e3680968cd0741966983490bf2ed3 (git) Affected: 4a6ce2b6f2ecabbddcfe47e7cf61dd0f00b10e36 , < f7f9e924f23684b4b23cd9f976cceab24a968e34 (git) Affected: 4a6ce2b6f2ecabbddcfe47e7cf61dd0f00b10e36 , < 9085e56501d93af9f2d7bd16f7fcfacdde47b99c (git) |
guessed | |
| Linux | Linux |
Affected:
4.13
Unaffected: 0 , < 4.13 (semver) Unaffected: 6.1.167 , ≤ 6.1.* (semver) Unaffected: 6.6.130 , ≤ 6.6.* (semver) Unaffected: 6.12.78 , ≤ 6.12.* (semver) Unaffected: 6.17.3 , ≤ 6.17.* (semver) Unaffected: 6.18 , ≤ * (original_commit_for_fix) |
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
guessed | |
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
guessed | |
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
guessed | |
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
guessed |
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}
],
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"lastModified": "2026-07-30T06:24:13.067",
"metrics": {
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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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