CVE-2026-15738 (GCVE-0-2026-15738)
Vulnerability from cvelistv5 – Published: 2026-07-14 20:19 – Updated: 2026-07-15 13:01
VLAI
EPSS
VEX
Title
Cross-namespace traffic interception via incorrect route precedence ordering in AWS Load Balancer Controller
Summary
Incorrect behavior order in the Gateway API listener-rule generation in Amazon AWS Load Balancer Controller before 3.4.2 might allow an authenticated remote user to intercept, spoof, or deny another namespace's gRPC traffic on a shared Gateway via a crafted HTTPRoute resource.
To mitigate this issue, users should upgrade to version 3.4.2.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 13:00 UTC
CWE
- CWE-653 - Improper isolation or compartmentalization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/kubernetes-sigs/aws-load-balan… | release-notes |
| https://aws.amazon.com/security/security-bulletin… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Amazon | aws-load-balancer-controller |
Affected:
0 , < 3.4.2
(custom)
cpe:2.3:a:amazon:aws-load-balancer-controller:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
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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.
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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.