CVE-2026-93492 (GCVE-0-2026-93492)
Vulnerability from cvelistv5 – Published: 2026-09-18 12:49 – Updated: 2026-09-18 12:49
VLAI
EPSS
VEX
Title
Io.netty/netty-codec-http2: netty: http/2 hpackencoder dos with large table size
Summary
A flaw was found in Netty's HTTP/2 HpackEncoder. A remote attacker can exploit this by sending HTTP/2 SETTINGS frames with a very large MAX_HEADER_TABLE_SIZE. This causes the HpackEncoder to store an excessive number of unique headers, leading to increased CPU usage and memory consumption, ultimately resulting in a Denial of Service (DoS).
Severity
5.3 (Medium)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://access.redhat.com/security/cve/CVE-2026-93492 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2536895 | issue-trackingx_refsource_REDHAT |
Impacted products
12 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Red Hat | Red Hat AMQ Broker 7 |
cpe:/a:redhat:amq_broker:7
|
||
| Red Hat | Red Hat build of Apache Camel 4 for Quarkus 3 |
cpe:/a:redhat:camel_quarkus:3
|
||
| Red Hat | Red Hat build of Apache Camel for Spring Boot 4 |
cpe:/a:redhat:camel_spring_boot:4
|
||
| Red Hat | Red Hat build of Apicurio Registry 3 |
cpe:/a:redhat:apicurio_registry:3
|
||
| Red Hat | Red Hat build of Debezium 3 |
cpe:/a:redhat:debezium:3
|
||
| Red Hat | Red Hat Build of Keycloak |
cpe:/a:redhat:build_keycloak:
|
||
| Red Hat | Red Hat build of Quarkus |
cpe:/a:redhat:quarkus:3
|
||
| Red Hat | Red Hat Data Grid 8 |
cpe:/a:redhat:jboss_data_grid:8
|
||
| Red Hat | Red Hat Fuse 7 |
cpe:/a:redhat:jboss_fuse:7
|
||
| Red Hat | Red Hat JBoss Enterprise Application Platform 7 |
cpe:/a:redhat:jboss_enterprise_application_platform:7
|
||
| Red Hat | Red Hat JBoss Enterprise Application Platform 8 |
cpe:/a:redhat:jboss_enterprise_application_platform:8
|
||
| Red Hat | Red Hat Single Sign-On 7 |
cpe:/a:redhat:red_hat_single_sign_on:7
|
Date Public
2026-09-10 00:41
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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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