CVE-2026-22997 (GCVE-0-2026-22997)
Vulnerability from cvelistv5 – Published: 2026-01-25 14:36 – Updated: 2026-08-05 12:20
VLAI
EPSS
VEX
Title
net: can: j1939: j1939_xtp_rx_rts_session_active(): deactivate session upon receiving the second rts
Summary
In the Linux kernel, the following vulnerability has been resolved:
net: can: j1939: j1939_xtp_rx_rts_session_active(): deactivate session upon receiving the second rts
Since j1939_session_deactivate_activate_next() in j1939_tp_rxtimer() is
called only when the timer is enabled, we need to call
j1939_session_deactivate_activate_next() if we cancelled the timer.
Otherwise, refcount for j1939_session leaks, which will later appear as
| unregister_netdevice: waiting for vcan0 to become free. Usage count = 2.
problem.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-16 20:36 UTC
Assigner
References
7 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
9d71dd0c70099914fcd063135da3c580865e924c , < a73e7d7e346dae1c22dc3e95b02ca464b12daf2c
(git)
Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < adabf01c19561e42899da9de56a6a1da0e6b8a5b (git) Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < b1d67607e97d489c0cfbbf55f48a76b00710b0e4 (git) Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < 809a437e27a3bf3c1c6c8c157773635552116f2b (git) Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < cb2a610867bc379988bae0bb4b8bbc59c0decf1a (git) Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < 6121b7564c725b632ffe4764abe85aa239d37703 (git) Affected: 9d71dd0c70099914fcd063135da3c580865e924c , < 1809c82aa073a11b7d335ae932d81ce51a588a4a (git) |
guessed | |
| Linux | Linux |
Affected:
5.4
Unaffected: 0 , < 5.4 (semver) Unaffected: 5.10.249 , ≤ 5.10.* (semver) Unaffected: 5.15.199 , ≤ 5.15.* (semver) Unaffected: 6.1.162 , ≤ 6.1.* (semver) Unaffected: 6.6.122 , ≤ 6.6.* (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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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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