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-2024-0107

CVE-2024-0107: Nvidia GPU Display Driver RCE Vulnerability

CVE-2024-0107 is a remote code execution flaw in Nvidia GPU Display Driver for Windows that enables unprivileged users to trigger out-of-bounds reads. This article covers technical details, affected versions, and mitigation.

Updated: January 22, 2026

CVE-2024-0107 Overview

CVE-2024-0107 is an out-of-bounds read vulnerability affecting NVIDIA GPU Display Driver for Windows. The vulnerability exists in the user mode layer of the driver, where an unprivileged regular user can trigger an out-of-bounds read condition. Successful exploitation of this vulnerability can lead to severe consequences including code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

This vulnerability is classified as CWE-125 (Out-of-bounds Read), a memory corruption class vulnerability that occurs when a program reads data past the end or before the beginning of the intended buffer. In the context of GPU display drivers, such vulnerabilities can be particularly dangerous given the elevated privileges these components typically operate with.

Critical Impact

An unprivileged local attacker can exploit this vulnerability to potentially achieve code execution, escalate privileges, or cause denial of service on affected Windows systems running vulnerable NVIDIA GPU drivers.

Affected Products

  • NVIDIA GPU Display Driver for Windows (versions prior to security patch)
  • NVIDIA GeForce GPU products
  • NVIDIA Quadro professional graphics products
  • NVIDIA RTX products
  • NVIDIA Tesla data center GPUs
  • NVIDIA Virtual GPU (vGPU) software
  • NVIDIA Cloud Gaming

Discovery Timeline

  • 2024-08-08 - CVE-2024-0107 published to NVD
  • 2025-11-04 - Last updated in NVD database

Technical Details for CVE-2024-0107

Vulnerability Analysis

The vulnerability resides in the user mode layer of NVIDIA's GPU Display Driver for Windows. This component is responsible for handling communication between user-space applications and the kernel-mode driver, managing GPU resources, and processing graphics rendering requests.

The out-of-bounds read vulnerability allows an unprivileged user to cause the driver to read memory outside of allocated buffer boundaries. When this occurs, the driver may access adjacent memory regions that could contain sensitive information, other process data, or critical system structures.

According to the Talos Intelligence Vulnerability Report, this vulnerability requires local access to exploit. The attack complexity is low, meaning that once an attacker has local access to a system with vulnerable NVIDIA drivers, exploitation is relatively straightforward and does not require significant specialized knowledge.

Root Cause

The root cause of CVE-2024-0107 is improper bounds checking in the user mode layer of the NVIDIA GPU Display Driver. When processing certain operations or data structures, the driver fails to properly validate buffer sizes or array indices before performing read operations. This lack of validation allows read operations to extend beyond the allocated memory region.

In user mode GPU driver components, such vulnerabilities often arise from:

  • Insufficient validation of user-supplied size parameters
  • Improper handling of malformed or oversized input data
  • Missing boundary checks in data parsing routines
  • Type confusion leading to incorrect buffer size calculations

Attack Vector

This vulnerability requires local access to exploit, meaning an attacker must already have access to the target system (either through legitimate access, another vulnerability, or social engineering). The attack does not require user interaction, making it suitable for automated exploitation once initial access is obtained.

The exploitation scenario involves an attacker:

  1. Gaining local access to a Windows system with vulnerable NVIDIA GPU drivers installed
  2. Crafting malicious input or triggering specific operations that cause the driver to read beyond allocated buffer boundaries
  3. Leveraging the out-of-bounds read to leak sensitive information or destabilize the system
  4. Potentially chaining this vulnerability with other techniques to achieve code execution or privilege escalation

The user mode layer operates in the context of the calling application, but successful exploitation could potentially allow an attacker to escalate privileges, execute arbitrary code, or cause a denial of service condition by crashing the driver or dependent system components.

Detection Methods for CVE-2024-0107

Indicators of Compromise

  • Unexpected crashes or instability in the NVIDIA display driver (nvlddmkm.sys or related user mode components)
  • Abnormal memory access patterns in applications interacting with GPU resources
  • System event logs showing driver crashes or memory access violations related to NVIDIA components
  • Unusual process behavior from applications attempting to exploit GPU driver interfaces

Detection Strategies

  • Monitor for abnormal GPU driver crashes using Windows Event Log filtering for NVIDIA-related errors
  • Deploy endpoint detection rules to identify suspicious patterns of GPU API calls that may indicate exploitation attempts
  • Implement application whitelisting to control which applications can interact with GPU driver interfaces
  • Use memory protection tools to detect out-of-bounds read attempts in user mode driver components

Monitoring Recommendations

  • Enable enhanced logging for Windows display driver stack components
  • Configure SentinelOne agents to monitor for driver instability and anomalous GPU-related activity
  • Establish baseline behavior for GPU driver operations and alert on deviations
  • Monitor for privilege escalation attempts following GPU driver interactions

How to Mitigate CVE-2024-0107

Immediate Actions Required

  • Update all NVIDIA GPU Display Drivers to the latest patched versions available from NVIDIA
  • Inventory all systems running NVIDIA GPU hardware and verify current driver versions
  • Prioritize patching for systems in multi-user environments where unprivileged users have local access
  • Consider restricting local access to critical systems until patches can be applied

Patch Information

NVIDIA has released security updates to address this vulnerability. Organizations should consult the NVIDIA Support Article for specific version information and download links for patched drivers.

The patch addresses the improper bounds checking in the user mode layer by implementing proper validation of buffer sizes and array indices before read operations. Organizations should prioritize deployment of these updates, particularly on systems where multiple users have local access or where the system processes sensitive data.

Workarounds

  • Restrict local user access to systems with NVIDIA GPUs until patches can be applied
  • Implement application control policies to limit which applications can interact with GPU drivers
  • Deploy endpoint protection solutions with behavioral detection capabilities to identify exploitation attempts
  • Consider disabling unnecessary GPU features or services on high-security systems until patched

For systems where immediate patching is not possible, organizations should implement compensating controls and monitor closely for signs of exploitation while planning patch deployment.

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechNvidia Gpu Display Driver

  • SeverityHIGH

  • CVSS Score7.8

  • EPSS Probability0.25%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-125
  • Technical References
  • Talos Intelligence Vulnerability Report
  • Vendor Resources
  • NVIDIA Support Article
  • Related CVEs
  • CVE-2023-25515: Nvidia GPU Display Driver RCE Vulnerability

  • CVE-2025-33218: NVIDIA GPU Driver Privilege Escalation

  • CVE-2025-23244: NVIDIA GPU Display Driver Escalation Flaw

  • CVE-2023-25516: Nvidia GPU Display Driver 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