CVE-2026-115403 (GCVE-0-2026-115403)
Vulnerability from cvelistv5 – Published: 2026-11-02 21:40 – Updated: 2026-11-06 17:58
VLAI
EPSS
VEX
Title
NULL pointer dereference in the BSD raw IPv6 send path when the destination table is full
Summary
In Eclipse ThreadX NetX Duo versions 6.0 through 6.5.2.202603a, built with BSD raw socket and IPv6 support, the IPv6 raw send path uses the destination-table entry it adds without checking that the add succeeded. When the destination table is full and an off-link destination is reached through a default router whose neighbour cache entry is unknown, sending on an IPv6 raw socket with header inclusion dereferences a NULL pointer; a remote sender can fill the table, for example with ICMPv6 Packet Too Big messages, and crash the sending thread.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-11-06 17:57 UTC
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Eclipse Foundation | Eclipse ThreadX |
Affected:
6.0 , ≤ 6.5.2.202603a
(custom)
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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
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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.
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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.