RabbitMQ Java Client OOM via maxBodyLebgth, fixed 5.18.0
CVE-2023-46120 Published on October 25, 2023

RabbitMQ Java client's lack of message size limitation leads to remote DoS attack
The RabbitMQ Java client library allows Java and JVM-based applications to connect to and interact with RabbitMQ nodes. `maxBodyLebgth` was not used when receiving Message objects. Attackers could send a very large Message causing a memory overflow and triggering an OOM Error. Users of RabbitMQ may suffer from DoS attacks from RabbitMQ Java client which will ultimately exhaust the memory of the consumer. This vulnerability was patched in version 5.18.0.

Github Repository NVD

Vulnerability Analysis

CVE-2023-46120 is exploitable with network access, and requires user privileges. This vulnerability is considered to have a low attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2023-46120. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality and integrity, and a high impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
HIGH
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
NONE
Availability Impact:
HIGH

Weakness Type

What is a Resource Exhaustion Vulnerability?

The software does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

CVE-2023-46120 has been classified to as a Resource Exhaustion vulnerability or weakness.


Products Associated with CVE-2023-46120

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Affected Versions

rabbitmq-java-client: rabbitmq-java-client:

Vulnerable Packages

The following package name and versions may be associated with CVE-2023-46120

Package Manager Vulnerable Package Versions Fixed In
maven com.rabbitmq:amqp-client < 5.18.0 5.18.0

Exploit Probability

EPSS
0.74%
Percentile
72.55%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.