The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2024-32030

CVE-2024-32030: Kafka UI RCE Vulnerability

CVE-2024-32030 is a remote code execution vulnerability in Kafka UI that exploits JMX connections to execute malicious code. This post covers the technical details, affected configurations, security impact, and mitigation.

Published: January 28, 2026

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.

text
             <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:

java
 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
bash
# 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.

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechKafka Ui

  • SeverityHIGH

  • CVSS Score8.1

  • EPSS Probability81.72%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-94
  • Technical References
  • GitHub Commit Update

  • GitHub Pull Request

  • GitHub Security Advisory
  • Latest CVEs
  • CVE-2025-70797: LimeSurvey XSS Vulnerability

  • CVE-2025-30650: Juniper Junos OS Auth Bypass Vulnerability

  • CVE-2026-35471: Goshs Path Traversal Vulnerability

  • CVE-2026-35393: Goshs Path Traversal Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English