CVE-2024-32030 Overview
CVE-2024-32030 is a critical insecure deserialization vulnerability in Kafka UI, an open-source web interface for Apache Kafka management. The vulnerability exists in the JMX monitoring functionality, which relies on the RMI protocol. An attacker can exploit this by connecting the Kafka UI backend to a malicious broker that returns crafted serialized objects, potentially leading to remote code execution.
Critical Impact
This vulnerability enables post-authentication remote code execution through JMX/RMI deserialization attacks. Since Kafka UI does not have authentication enabled by default, unauthenticated attackers may achieve full system compromise.
Affected Products
- Kafka UI versions prior to 0.7.2
- Deployments with dynamic.config.enabled property set (commonly enabled per official tutorials)
- Environments where attackers have access to the connected Kafka cluster
Discovery Timeline
- 2024-06-19 - CVE-2024-32030 published to NVD
- 2024-11-21 - Last updated in NVD database
Technical Details for CVE-2024-32030
Vulnerability Analysis
This vulnerability stems from Kafka UI's JMX monitoring feature, which allows users to connect to Kafka brokers for performance monitoring. JMX (Java Management Extensions) operates over RMI (Remote Method Invocation), a protocol inherently vulnerable to deserialization attacks. When the Kafka UI backend connects to what it believes is a legitimate JMX port, an attacker controlling that endpoint can return malicious serialized Java objects.
The attack is particularly severe because Kafka UI includes vulnerable gadget chains in its classpath, specifically the commons-collections library, which is well-known for enabling arbitrary code execution through crafted serialized payloads. The vulnerability is exploitable under two conditions: when dynamic.config.enabled is set (recommended in many tutorials including Kafka UI's own documentation), or when an attacker already has access to the Kafka cluster being monitored.
Root Cause
The root cause is the use of the vulnerable commons-collections library in combination with RMI-based JMX connections without proper deserialization filtering. The RMI protocol deserializes incoming objects without validation, and the presence of dangerous gadget chains like those in commons-collections allows attackers to achieve arbitrary code execution through carefully crafted serialized payloads.
Attack Vector
The attack requires network access to either deploy a malicious broker that Kafka UI connects to, or to compromise/control a Kafka cluster that Kafka UI monitors. The attacker sets up an RMI listener that responds to JMX connection requests with malicious serialized objects instead of legitimate monitoring data. When Kafka UI deserializes these objects, the gadget chain triggers code execution on the server.
<groupId>io.confluent</groupId>
<artifactId>kafka-json-schema-serializer</artifactId>
<version>${confluent.version}</version>
+ <exclusions>
+ <exclusion>
+ <groupId>commons-collections</groupId>
+ <artifactId>commons-collections</artifactId>
+ </exclusion>
+ </exclusions>
</dependency>
<dependency>
<groupId>io.confluent</groupId>
Source: GitHub Commit Update
The fix replaces the vulnerable commons-collections library with commons-collections4, which does not contain the dangerous gadget chains:
import lombok.EqualsAndHashCode;
import lombok.Getter;
import lombok.ToString;
-import org.apache.commons.collections.CollectionUtils;
+import org.apache.commons.collections4.CollectionUtils;
import org.springframework.util.Assert;
@Getter
Source: GitHub Commit Update
Detection Methods for CVE-2024-32030
Indicators of Compromise
- Unexpected outbound RMI/JMX connections from Kafka UI to unknown endpoints
- Anomalous process spawning from the Kafka UI Java process
- New network connections initiated by Kafka UI to non-standard ports
- Presence of suspicious serialized Java objects in network traffic
Detection Strategies
- Monitor JMX connection attempts to endpoints outside of known Kafka infrastructure
- Implement network segmentation monitoring to detect connections to unauthorized brokers
- Deploy endpoint detection to identify code execution attempts following deserialization
- Review Kafka UI logs for unusual broker connection configurations
Monitoring Recommendations
- Enable verbose logging for Kafka UI JMX connections and broker configurations
- Configure network monitoring to alert on RMI protocol traffic to unexpected destinations
- Implement application-level monitoring to detect changes to dynamic.config.enabled settings
- Deploy SentinelOne agents on Kafka UI hosts for real-time threat detection and response
How to Mitigate CVE-2024-32030
Immediate Actions Required
- Upgrade Kafka UI to version 0.7.2 or later immediately
- Disable the dynamic.config.enabled property if not strictly required
- Enable authentication for Kafka UI deployments (not enabled by default)
- Restrict network access to Kafka UI to trusted sources only
- Audit all configured broker connections to ensure they point to legitimate Kafka infrastructure
Patch Information
The vulnerability has been addressed in Kafka UI version 0.7.2. The fix removes the vulnerable commons-collections gadget chain by excluding it from dependencies and replacing it with the safer commons-collections4 library. All users should upgrade to version 0.7.2 or later. For detailed patch information, see the GitHub Pull Request and the GitHub Security Advisory.
Workarounds
- There are no known workarounds for this vulnerability according to the security advisory
- As a defense-in-depth measure, disable JMX monitoring functionality if not required
- Implement strict network segmentation between Kafka UI and broker infrastructure
- Enable authentication and access controls even if upgrading immediately
# Verify Kafka UI version and check for vulnerable dependency
# Check current version
docker inspect kafka-ui | grep -i version
# Verify commons-collections is not present in classpath
find /path/to/kafka-ui -name "commons-collections-*.jar" -not -name "commons-collections4*"
# Upgrade to patched version
docker pull provectuslabs/kafka-ui:v0.7.2
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


