CVE-2026-69219 (GCVE-0-2026-69219)
Vulnerability from cvelistv5 – Published: 2026-08-18 16:23 – Updated: 2026-08-19 14:51
VLAI
EPSS
VEX
Title
RabbitMQ Java client ValueReader: Oversized LongString/bytes length triggers OOM via unchecked allocation
Summary
The RabbitMQ Java client library allows Java and JVM-based applications to connect to and interact with RabbitMQ nodes. Prior to 5.33.1, src/main/java/com/rabbitmq/client/impl/ValueReader.java uses ValueReader.readBytes to accept a wire-declared contentLength below Integer.MAX_VALUE and allocate a byte array before checking the bytes available in the frame. A malicious AMQP peer can send a LongString or byte-array field with type tag S and a declared length such as 0x7FFFFFFE during the pre-authentication connection.start server-properties table, causing an approximately 2 GB allocation and OutOfMemoryError before readFully consumes data. The resulting memory exhaustion can terminate the JVM and cause denial of service. This issue is fixed in version 5.33.1.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-19 14:51 UTC
CWE
- CWE-789 - Memory Allocation with Excessive Size Value
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_CONFIRM |
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_MISC |
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_MISC |
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_MISC |
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_MISC |
| https://github.com/rabbitmq/rabbitmq-java-client/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| rabbitmq | rabbitmq-java-client |
Affected:
< 5.33.1
|
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.
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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