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-2023-37536

CVE-2023-37536: Xerces-C++ Buffer Overflow Vulnerability

CVE-2023-37536 is a buffer overflow flaw in Apache Xerces-C++ caused by an integer overflow that enables remote attackers to trigger out-of-bound access. This article covers technical details, affected versions, and mitigation.

Published: February 4, 2026

CVE-2023-37536 Overview

CVE-2023-37536 is an integer overflow vulnerability in Apache Xerces-C++ 3.2.3, a validating XML parser library written in C++. This flaw allows remote attackers to cause out-of-bound memory access via specially crafted HTTP requests. The vulnerability affects multiple products that integrate with Xerces-C++, including HCL BigFix Platform and Fedora Linux distributions.

The integer overflow condition occurs when processing XML data, where arithmetic operations on integer values exceed the maximum storage capacity, causing the value to wrap around. This leads to incorrect memory allocation sizes and subsequent out-of-bounds memory access, potentially enabling information disclosure, denial of service, or in severe cases, arbitrary code execution.

Critical Impact

Remote attackers can exploit this integer overflow vulnerability via network-based HTTP requests to cause out-of-bounds memory access, potentially compromising system confidentiality, integrity, and availability.

Affected Products

  • Apache Xerces-C++ version 3.2.3
  • HCL BigFix Platform (multiple versions)
  • Fedora 37

Discovery Timeline

  • October 11, 2023 - CVE-2023-37536 published to NVD
  • November 21, 2024 - Last updated in NVD database

Technical Details for CVE-2023-37536

Vulnerability Analysis

This vulnerability stems from an integer overflow condition (CWE-190) that subsequently leads to a buffer overflow based on integer coercion errors (CWE-680). When the Xerces-C++ XML parser processes certain input data, integer arithmetic operations can overflow, resulting in unexpectedly small buffer allocations. When the application then attempts to write data to these undersized buffers, out-of-bounds memory access occurs.

The network-accessible nature of this vulnerability is particularly concerning as it can be triggered remotely through HTTP requests. Applications using Xerces-C++ to parse XML data from untrusted sources are at risk, especially web services and enterprise management platforms like HCL BigFix that process external XML content.

Root Cause

The root cause lies in improper integer handling within the Xerces-C++ library version 3.2.3. When processing XML input, certain size calculations involving integer values fail to properly validate against overflow conditions. This results in:

  1. An integer value exceeding its maximum bounds and wrapping to a small positive value
  2. Memory allocation based on the wrapped (incorrect) size
  3. Subsequent operations writing beyond the allocated buffer boundaries

This is a classic integer overflow to buffer overflow vulnerability chain, where the initial arithmetic error cascades into memory corruption issues.

Attack Vector

The attack vector is network-based, requiring authenticated access with low complexity. An attacker can exploit this vulnerability by sending maliciously crafted HTTP requests containing XML data designed to trigger the integer overflow condition in Xerces-C++.

The exploitation mechanism involves crafting XML content with specific size values that, when processed by the vulnerable integer arithmetic operations, cause an overflow. This leads to memory corruption that could potentially allow attackers to:

  • Read sensitive data from adjacent memory regions (information disclosure)
  • Corrupt application state or crash the service (denial of service)
  • Potentially achieve code execution in certain configurations

The vulnerability manifests during XML parsing operations when processing size-related fields. For technical details on the specific vulnerable code paths, refer to the HCL Tech Support Article and the Debian LTS Security Announcement.

Detection Methods for CVE-2023-37536

Indicators of Compromise

  • Unexpected application crashes or segmentation faults in services using Xerces-C++ XML parsing
  • Abnormal memory consumption patterns in XML processing components
  • Malformed or unusually large XML payloads in HTTP request logs
  • Core dumps or error logs indicating memory access violations in Xerces-C++ library functions

Detection Strategies

  • Deploy network intrusion detection rules to identify malformed XML payloads targeting integer overflow conditions
  • Monitor application logs for memory access violations or segmentation faults related to XML parsing
  • Implement runtime memory protection tools to detect out-of-bounds access attempts
  • Use software composition analysis (SCA) tools to identify vulnerable Xerces-C++ versions in your environment

Monitoring Recommendations

  • Enable verbose logging for XML parsing operations in affected applications
  • Configure memory protection mechanisms (ASLR, DEP) and monitor for bypass attempts
  • Establish baseline metrics for XML processing performance to detect anomalies
  • Monitor HCL BigFix Platform and other affected applications for unexpected behavior during XML operations

How to Mitigate CVE-2023-37536

Immediate Actions Required

  • Inventory all systems running Apache Xerces-C++ 3.2.3 or applications that depend on it
  • Apply vendor patches for HCL BigFix Platform as documented in the HCL support article
  • Update Fedora systems using the packages referenced in the Fedora Package Security Notices
  • Review and restrict network access to services that process XML content from untrusted sources

Patch Information

Patches are available from multiple vendors:

  • HCL Technologies: Security updates for BigFix Platform are documented in the HCL Tech Support Article
  • Fedora Project: Updated packages are available through the standard Fedora update channels as announced in the Fedora Package Announcements
  • Debian: Security updates are available as detailed in the Debian LTS Security Announcement

Workarounds

  • Implement input validation to reject excessively large or malformed XML documents before Xerces-C++ processing
  • Deploy a web application firewall (WAF) with rules to filter suspicious XML payloads
  • Restrict network access to vulnerable services, limiting exposure to trusted networks only
  • Consider sandboxing or containerizing applications that must process untrusted XML content
bash
# Example: Update Xerces-C++ on Fedora systems
sudo dnf update xerces-c

# Verify installed version after update
rpm -qa | grep xerces-c

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechApache

  • SeverityHIGH

  • CVSS Score8.8

  • EPSS Probability1.08%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-190

  • CWE-680
  • Technical References
  • Debian LTS Security Announcement

  • Fedora Package Announcement Update

  • Fedora Package Security Update

  • Fedora Package Security Notice
  • Vendor Resources
  • HCL Tech Support Article
  • Related CVEs
  • CVE-2025-53470: Apache NimBLE Buffer Overflow Vulnerability

  • CVE-2024-29133: Apache Commons Configuration Overflow Flaw

  • CVE-2022-28331: Apache Portable Runtime Buffer Overflow

  • CVE-2022-25147: Apache APR-util Buffer Overflow Flaw
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