Join the Cyber Forum: Threat Intel on May 12, 2026 to learn how AI is reshaping threat defense.Join the Virtual Cyber Forum: Threat IntelRegister Now
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
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • 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-2024-49195

CVE-2024-49195: Arm Mbed TLS Buffer Overflow Vulnerability

CVE-2024-49195 is a buffer underrun flaw in Arm Mbed TLS that occurs when writing an opaque key pair in pkwrite. This post covers the technical details, affected versions 3.5.x through 3.6.x, impact, and mitigation.

Published: April 15, 2026

CVE-2024-49195 Overview

CVE-2024-49195 is a buffer underrun vulnerability in Mbed TLS versions 3.5.x through 3.6.x before 3.6.2. The flaw occurs in the pkwrite module when writing an opaque key pair, potentially allowing attackers to corrupt memory and achieve arbitrary code execution or cause denial of service conditions.

Critical Impact

This buffer underrun vulnerability in Mbed TLS's cryptographic key handling could enable remote attackers to corrupt memory, potentially leading to complete system compromise in applications relying on this widely-used TLS library.

Affected Products

  • Arm Mbed TLS versions 3.5.x through 3.5.x
  • Arm Mbed TLS versions 3.6.x before 3.6.2
  • Any application or embedded system using affected Mbed TLS versions

Discovery Timeline

  • October 15, 2024 - CVE-2024-49195 published to NVD
  • May 6, 2025 - Last updated in NVD database

Technical Details for CVE-2024-49195

Vulnerability Analysis

This vulnerability is classified under CWE-787 (Out-of-Bounds Write), manifesting as a buffer underrun condition in the pkwrite component of Mbed TLS. The flaw occurs when the library attempts to write opaque key pair data, where improper boundary calculations result in memory writes occurring before the allocated buffer's starting address.

Buffer underrun vulnerabilities are particularly dangerous in cryptographic libraries because they can corrupt adjacent memory structures, potentially exposing sensitive cryptographic material or allowing attackers to manipulate program execution flow. In the context of Mbed TLS, which is widely deployed in embedded systems, IoT devices, and security-critical applications, this vulnerability poses significant risks to infrastructure relying on TLS/SSL communications.

Root Cause

The root cause lies in the pkwrite module's handling of opaque key pairs. When serializing these cryptographic objects, the code incorrectly calculates buffer offsets, resulting in write operations that precede the intended memory region. This type of arithmetic error in pointer manipulation or length calculations can occur when negative offsets are used without proper bounds validation, or when buffer size assumptions do not account for all key format variations.

Attack Vector

The vulnerability is exploitable over the network without requiring authentication or user interaction. An attacker could potentially trigger this vulnerability by:

  1. Providing maliciously crafted key data during TLS handshake operations
  2. Exploiting applications that import or process external cryptographic keys using affected Mbed TLS functions
  3. Targeting services that handle opaque key operations in PSA Crypto API contexts

The network-accessible nature combined with no required privileges makes this vulnerability particularly severe for internet-facing services using affected Mbed TLS versions.

The vulnerability manifests during opaque key pair write operations in the pkwrite module. When the library processes certain key formats, improper offset calculations cause memory corruption before the allocated buffer boundary. For detailed technical analysis, refer to the Mbed TLS Security Advisory 2024-10-1.

Detection Methods for CVE-2024-49195

Indicators of Compromise

  • Unexpected application crashes or segmentation faults in services using Mbed TLS for cryptographic operations
  • Memory corruption signatures detected by runtime protection mechanisms during TLS handshake or key processing
  • Anomalous behavior in embedded systems or IoT devices utilizing Mbed TLS for secure communications

Detection Strategies

  • Deploy memory safety tools such as AddressSanitizer (ASan) in development and testing environments to identify buffer underrun attempts
  • Monitor application logs for crashes or exceptions originating from pkwrite functions or related key serialization code paths
  • Implement network intrusion detection rules to identify anomalous TLS handshake patterns that may indicate exploitation attempts

Monitoring Recommendations

  • Enable comprehensive logging for TLS operations in affected applications to capture potential exploitation attempts
  • Deploy runtime application self-protection (RASP) solutions capable of detecting memory corruption in cryptographic operations
  • Establish baseline behavior monitoring for services using Mbed TLS to identify anomalous crashes or memory access patterns

How to Mitigate CVE-2024-49195

Immediate Actions Required

  • Upgrade Mbed TLS to version 3.6.2 or later immediately for all affected systems
  • Audit all applications and embedded systems to identify deployments of affected Mbed TLS versions
  • Review network exposure of services using Mbed TLS and consider implementing additional network-layer protections while patching is in progress

Patch Information

Arm has released Mbed TLS version 3.6.2 which addresses this buffer underrun vulnerability. Organizations should obtain the patched version from official Mbed TLS distribution channels. For complete patch details and additional security guidance, consult the Mbed TLS Security Advisory and the Mbed TLS Security Updates page.

Workarounds

  • If immediate patching is not feasible, consider disabling or restricting opaque key pair operations in affected applications where possible
  • Implement network segmentation to limit exposure of vulnerable services to untrusted networks
  • Deploy Web Application Firewalls (WAF) or similar protective measures to filter potentially malicious TLS traffic
bash
# Verify Mbed TLS version and upgrade
# Check current version
grep -r "MBEDTLS_VERSION" /path/to/mbedtls/include/

# Upgrade to patched version 3.6.2 or later
git clone --branch v3.6.2 https://github.com/Mbed-TLS/mbedtls.git
cd mbedtls
make
make install

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechArm Mbed Tls

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability1.00%

  • 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-787
  • Vendor Resources
  • Mbed TLS Security Advisory 2024-10-1

  • Mbed TLS Security Updates
  • Related CVEs
  • CVE-2025-52497: Arm Mbed TLS Buffer Overflow Vulnerability

  • CVE-2024-45158: Arm Mbed TLS Buffer Overflow Vulnerability

  • CVE-2023-43615: Arm Mbed TLS Buffer Overflow Vulnerability

  • CVE-2025-52496: Arm Mbed TLS Race Condition 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