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-2023-26512

CVE-2023-26512: Apache EventMesh RabbitMQ RCE Vulnerability

CVE-2023-26512 is a remote code execution vulnerability in Apache EventMesh-connector-rabbitmq caused by unsafe deserialization. Attackers can execute arbitrary code via malicious RabbitMQ messages. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published: January 28, 2026

CVE-2023-26512 Overview

CVE-2023-26512 is an insecure deserialization vulnerability (CWE-502) affecting the rabbitmq-connector plugin module in Apache EventMesh (incubating). This vulnerability allows remote attackers to send specially crafted messages through RabbitMQ that, when deserialized by the vulnerable connector, can lead to remote code execution on the target system.

Apache EventMesh is an open-source, cloud-native event-driven middleware that enables building distributed event-driven applications. The rabbitmq-connector plugin facilitates integration with RabbitMQ message brokers. Due to improper handling of deserialization operations on incoming RabbitMQ messages, attackers can exploit this flaw to execute arbitrary code in the context of the EventMesh application.

Critical Impact

Remote code execution via malicious RabbitMQ messages allows attackers to fully compromise affected EventMesh deployments without authentication, potentially leading to complete system takeover.

Affected Products

  • Apache EventMesh-connector-rabbitmq V1.7.0
  • Apache EventMesh-connector-rabbitmq V1.8.0
  • Deployments on Windows, Linux, and macOS platforms

Discovery Timeline

  • July 17, 2023 - CVE-2023-26512 published to NVD
  • June 25, 2025 - Last updated in NVD database

Technical Details for CVE-2023-26512

Vulnerability Analysis

The vulnerability stems from the deserialization of untrusted data within the rabbitmq-connector plugin module. When the connector processes incoming messages from RabbitMQ, it deserializes the message payload without proper validation or sanitization. This creates an opportunity for attackers who can publish messages to the RabbitMQ broker to inject malicious serialized objects.

In Java-based applications like Apache EventMesh, insecure deserialization vulnerabilities are particularly dangerous because they can be exploited to instantiate arbitrary classes and execute code during the deserialization process. Attackers can leverage known gadget chains present in the application's classpath to achieve remote code execution.

The cross-platform nature of this vulnerability means that any EventMesh deployment using the rabbitmq-connector—regardless of whether it runs on Windows, Linux, or macOS—is susceptible to exploitation.

Root Cause

The root cause of CVE-2023-26512 is the lack of input validation and type checking during the deserialization of RabbitMQ message payloads in the rabbitmq-connector module. The connector accepts and deserializes data from the message queue without verifying the integrity or expected type of the serialized objects, enabling attackers to inject malicious payloads that execute arbitrary code when deserialized.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no authentication or user interaction. An attacker with the ability to publish messages to a RabbitMQ broker connected to a vulnerable EventMesh deployment can exploit this flaw. The attack flow involves:

  1. Identifying a RabbitMQ broker connected to a vulnerable EventMesh rabbitmq-connector
  2. Crafting a malicious serialized Java object containing a gadget chain for code execution
  3. Publishing the malicious payload as a message to a queue monitored by the EventMesh connector
  4. The connector receives and deserializes the message, triggering execution of the attacker's payload
  5. Arbitrary code executes in the context of the EventMesh application

The exploitation relies on the presence of vulnerable libraries in the application classpath that can be chained together to achieve code execution during deserialization. Common gadget chains exist in libraries such as Apache Commons Collections, Spring Framework, and other widely-used Java libraries.

Detection Methods for CVE-2023-26512

Indicators of Compromise

  • Unusual or malformed messages appearing in RabbitMQ queues connected to EventMesh
  • Unexpected child processes spawned by the Java process running EventMesh
  • Anomalous network connections originating from the EventMesh server
  • Suspicious serialized Java objects in RabbitMQ message payloads containing known gadget chain classes

Detection Strategies

  • Monitor RabbitMQ audit logs for messages from unexpected or unauthorized publishers
  • Implement Java deserialization monitoring using tools like SerialKiller or NotSoSerial
  • Deploy network intrusion detection rules to identify common Java deserialization exploit payloads
  • Enable verbose logging on EventMesh to capture message processing anomalies

Monitoring Recommendations

  • Continuously monitor EventMesh application logs for deserialization exceptions or errors
  • Set up alerts for process creation events originating from the EventMesh Java process
  • Monitor outbound network connections from EventMesh servers for command-and-control communication patterns
  • Audit RabbitMQ access controls to ensure only authorized applications can publish messages

How to Mitigate CVE-2023-26512

Immediate Actions Required

  • Upgrade Apache EventMesh to a version incorporating the fix from the master branch or the next official release
  • Restrict network access to RabbitMQ brokers to only trusted sources
  • Implement authentication and authorization controls on RabbitMQ to prevent unauthorized message publishing
  • Consider temporarily disabling the rabbitmq-connector if not actively required

Patch Information

According to the Apache advisory, users should apply the code fixes available in the master branch of the Apache EventMesh project repository. Apache has indicated that a new release containing the security fix will be made available. Organizations should monitor the Apache Mailing List Thread for official patch release announcements.

Workarounds

  • Implement a deserialization filter (Java 9+) to restrict which classes can be deserialized by the EventMesh application
  • Deploy a network-level firewall or WAF to inspect and block malicious serialized payloads
  • Use RabbitMQ's authentication and authorization mechanisms to limit which clients can publish messages to queues consumed by EventMesh
  • Consider running EventMesh in a sandboxed or containerized environment with restricted system access to limit the impact of potential exploitation

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechApache

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.07%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-502
  • Technical References
  • Apache Mailing List Thread
  • Related CVEs
  • CVE-2016-15057: Apache Continuum RCE Vulnerability

  • CVE-2025-67895: Apache Airflow Edge3 Provider RCE Flaw

  • CVE-2025-58098: Apache HTTP Server SSI RCE Vulnerability

  • CVE-2025-53192: Apache Commons OGNL RCE Vulnerability
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