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
    • 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-2024-46743

CVE-2024-46743: Linux Kernel Buffer Overflow Vulnerability

CVE-2024-46743 is a buffer overflow flaw in Linux Kernel's of/irq subsystem that triggers out-of-bounds reads during interrupt map walks. This article covers technical details, affected versions, impact, and mitigation.

Updated: January 22, 2026

CVE-2024-46743 Overview

CVE-2024-46743 is an out-of-bounds read vulnerability in the Linux kernel's Open Firmware (OF) interrupt handling subsystem. The vulnerability exists in the of_irq_parse_raw() function, which can be exploited when the function is invoked with a device address smaller than the interrupt parent node's #address-cells property. This size mismatch causes KASAN (Kernel Address Sanitizer) to detect an out-of-bounds memory read when populating the initial match table during interrupt map walk operations.

Critical Impact

Local attackers with low privileges can exploit this vulnerability to read sensitive kernel memory or cause system instability, potentially leading to information disclosure or denial of service conditions on affected Linux systems.

Affected Products

  • Linux Kernel (multiple versions)
  • Linux Kernel 6.11-rc1, 6.11-rc2, 6.11-rc3
  • Debian Linux (see LTS announcements)

Discovery Timeline

  • September 18, 2024 - CVE-2024-46743 published to NVD
  • November 3, 2025 - Last updated in NVD database

Technical Details for CVE-2024-46743

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-bounds Read) and affects the kernel's device tree interrupt parsing mechanism. The flaw occurs during interrupt map walking operations when the of_irq_parse_raw() function processes device addresses that are smaller than the address size specified by the interrupt parent node's #address-cells property.

When parsing interrupt specifications for devices in the device tree, the kernel attempts to read device address data based on the parent node's expected address size. If the device's actual address is smaller than this expected size, the function reads beyond the allocated memory boundaries, accessing potentially sensitive data from adjacent kernel memory regions.

The vulnerability was detected through KASAN instrumentation, which identified a 4-byte out-of-bounds read in the kmalloc-128 slab cache. The buggy read occurs at an offset of 8 bytes inside a 128-byte memory region during the interrupt parsing process.

Root Cause

The root cause of this vulnerability lies in insufficient bounds checking when copying device address data into the match table during interrupt map traversal. The of_irq_parse_raw() function assumes that the device address buffer is at least as large as the #address-cells property of the interrupt parent node, but this assumption is not validated before memory access operations occur.

When device tree overlays are applied or platform devices are created, the interrupt parsing code may encounter device nodes with address sizes that differ from their parent interrupt controller's expectations. Without proper validation, the code reads past the end of the device's address buffer, triggering the out-of-bounds access.

Attack Vector

The vulnerability requires local access to the system and can be triggered through device tree manipulation or during normal device initialization sequences. The attack involves creating or modifying device tree entries where a device's address cell count is smaller than its interrupt parent's #address-cells property.

The exploitation path follows these steps:

  1. An attacker with local access manipulates device tree configurations or triggers device tree overlay application
  2. The kernel's of_platform_device_create_pdata() function initiates device creation
  3. The interrupt parsing functions of_irq_parse_one() and of_irq_parse_raw() are called
  4. Due to address size mismatch, out-of-bounds memory is read from the kernel slab cache

The KASAN debug output shows the call trace originating from device_add() through of_device_add(), of_platform_device_create_pdata(), and ultimately reaching the vulnerable of_irq_parse_raw() function where the 4-byte out-of-bounds read occurs.

Detection Methods for CVE-2024-46743

Indicators of Compromise

  • KASAN error messages in kernel logs indicating slab-out-of-bounds reads in of_irq_parse_raw
  • Kernel oops or warnings related to device tree interrupt parsing functions
  • Unexpected system instability during device enumeration or device tree overlay application

Detection Strategies

  • Enable KASAN (Kernel Address Sanitizer) in kernel builds to detect memory access violations
  • Monitor kernel logs for BUG: KASAN: slab-out-of-bounds messages referencing of_irq_parse_raw
  • Implement runtime kernel monitoring for anomalous memory access patterns in OF/irq subsystems
  • Deploy endpoint detection solutions capable of monitoring kernel-level memory operations

Monitoring Recommendations

  • Configure syslog forwarding to capture and analyze kernel warning messages
  • Set up alerts for KASAN violation reports in centralized logging systems
  • Monitor for unexpected device tree modifications or overlay applications
  • Implement file integrity monitoring on device tree blob files and overlay directories

How to Mitigate CVE-2024-46743

Immediate Actions Required

  • Update the Linux kernel to a patched version that includes the fix for CVE-2024-46743
  • Review device tree configurations for potential address cell size mismatches
  • Apply vendor-provided security patches from Linux distribution maintainers
  • Consider disabling device tree overlay functionality if not required

Patch Information

The Linux kernel maintainers have released patches to address this vulnerability. The fix prevents the out-of-bounds read by copying the device address into a buffer of sufficient size before processing. Multiple stable kernel commits are available:

  • Kernel Stable Commit defcaa4
  • Kernel Stable Commit baaf267
  • Kernel Stable Commit 9d1e9f0
  • Kernel Stable Commit bf68acd
  • Kernel Stable Commit b739dff
  • Kernel Stable Commit d2a7949
  • Kernel Stable Commit 7ead730
  • Kernel Stable Commit 8ff351e

Debian users should refer to the Debian LTS Announcement October 2024 and Debian LTS Announcement January 2025 for distribution-specific updates.

Workarounds

  • Restrict device tree overlay application permissions to trusted administrators only
  • Disable dynamic device tree overlay support via kernel configuration if not required
  • Enable KASAN in development environments to detect exploitation attempts
  • Implement access controls to limit local user access to device tree interfaces
bash
# Check current kernel version for vulnerability assessment
uname -r

# Verify available kernel updates
apt-get update && apt-cache policy linux-image-$(uname -r)

# Apply kernel updates (Debian/Ubuntu)
apt-get upgrade linux-image-$(uname -r)

# Reboot to apply the patched kernel
reboot

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechLinux Kernel

  • SeverityHIGH

  • CVSS Score7.1

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-125
  • Technical References
  • Debian LTS Announcement October 2024

  • Debian LTS Announcement January 2025
  • Vendor Resources
  • Kernel Stable Commit 7ead730

  • Kernel Stable Commit 8ff351e

  • Kernel Stable Commit 9d1e9f0

  • Kernel Stable Commit b739dff

  • Kernel Stable Commit baaf267

  • Kernel Stable Commit bf68acd

  • Kernel Stable Commit d2a7949

  • Kernel Stable Commit defcaa4
  • Related CVEs
  • CVE-2026-23448: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2026-23447: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2026-31395: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2026-31402: Linux Kernel Buffer Overflow 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