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-2023-25516

CVE-2023-25516: Nvidia GPU Display Driver Vulnerability

CVE-2023-25516 is an information disclosure flaw in Nvidia GPU Display Driver for Linux caused by an integer overflow in the kernel mode layer. This article covers the technical details, affected versions, and mitigation.

Published: February 4, 2026

CVE-2023-25516 Overview

CVE-2023-25516 is an integer overflow vulnerability in the NVIDIA GPU Display Driver for Linux. The vulnerability exists in the kernel mode layer, where an unprivileged user can trigger an integer overflow condition. Successful exploitation may lead to information disclosure and denial of service, compromising both system confidentiality and availability.

Critical Impact

Unprivileged local attackers can exploit this integer overflow vulnerability to access sensitive information or cause system instability, potentially disrupting critical GPU-accelerated workloads.

Affected Products

  • NVIDIA GPU Display Driver for Linux (various versions)
  • Linux systems running affected NVIDIA kernel mode drivers
  • GPU-accelerated computing environments with vulnerable driver installations

Discovery Timeline

  • 2023-07-04 - CVE-2023-25516 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-25516

Vulnerability Analysis

This vulnerability is classified as CWE-190 (Integer Overflow or Wraparound). Integer overflow vulnerabilities occur when an arithmetic operation attempts to create a numeric value outside the range that can be represented within the allocated storage space. In the context of the NVIDIA GPU Display Driver's kernel mode layer, this flaw allows an unprivileged user to manipulate calculations that exceed integer boundaries, leading to unexpected behavior in memory handling operations.

The kernel mode layer of GPU display drivers operates with elevated privileges and handles critical memory management operations. When an integer overflow occurs in this context, it can cause the driver to misallocate memory buffers or miscalculate data sizes, potentially exposing kernel memory contents or causing the system to become unresponsive.

Root Cause

The root cause of CVE-2023-25516 is insufficient validation of integer arithmetic operations within the NVIDIA GPU Display Driver's kernel mode layer. When processing user-controlled input values, the driver fails to adequately check for overflow conditions before performing calculations that determine memory allocation sizes or buffer boundaries. This oversight allows attackers to supply crafted values that cause integer wraparound, resulting in smaller-than-expected allocations or incorrect bounds checking.

Attack Vector

The attack vector for this vulnerability is local, requiring the attacker to have low-privileged access to a system running the vulnerable NVIDIA GPU Display Driver. The exploitation does not require user interaction and operates within the local system scope.

An attacker with local access can interact with the NVIDIA driver through standard interfaces such as device files or ioctl calls. By supplying carefully crafted input values designed to trigger integer overflow conditions, the attacker can manipulate the driver's internal calculations. This can lead to out-of-bounds memory access, enabling the attacker to read sensitive kernel memory (information disclosure) or corrupt memory structures causing system instability (denial of service).

The vulnerability mechanism involves sending specially crafted requests to the kernel mode driver that contain integer values near the maximum representable range. When these values are used in arithmetic operations without proper overflow checking, the result wraps around to a much smaller value, leading to undersized buffer allocations or incorrect boundary calculations.

Detection Methods for CVE-2023-25516

Indicators of Compromise

  • Unexpected system crashes or kernel panics related to NVIDIA driver operations
  • Unusual memory access patterns or error messages in system logs referencing the NVIDIA kernel module
  • Anomalous ioctl calls or device interactions targeting NVIDIA GPU devices
  • Evidence of local privilege escalation attempts following GPU driver interactions

Detection Strategies

  • Monitor kernel logs for NVIDIA driver errors, particularly those involving memory allocation failures or unexpected values
  • Implement system call auditing to detect suspicious ioctl operations targeting /dev/nvidia* device files
  • Deploy endpoint detection solutions capable of monitoring kernel module behavior and detecting anomalous GPU driver interactions
  • Use integrity monitoring to detect unauthorized modifications to NVIDIA driver files

Monitoring Recommendations

  • Enable kernel audit logging for device file operations related to NVIDIA GPU interfaces
  • Implement SentinelOne's kernel-level monitoring capabilities to detect exploitation attempts targeting GPU drivers
  • Configure alerts for repeated NVIDIA driver crashes or memory-related errors that may indicate exploitation attempts
  • Monitor for unusual processes interacting with GPU device files, especially from low-privilege user contexts

How to Mitigate CVE-2023-25516

Immediate Actions Required

  • Update to the latest NVIDIA GPU Display Driver version that addresses this vulnerability
  • Restrict local system access to trusted users only
  • Review system logs for evidence of potential exploitation attempts
  • Implement network segmentation to limit lateral movement opportunities for attackers who may leverage this vulnerability

Patch Information

NVIDIA has released security updates addressing this vulnerability. System administrators should consult the NVIDIA Customer Support Resolution for detailed patch information and download links for corrected driver versions. Ensure that all systems running NVIDIA GPU Display Drivers on Linux are updated to patched versions as soon as possible.

Workarounds

  • Limit local system access to only necessary personnel until patches can be applied
  • Consider temporarily disabling non-essential GPU functionality in high-security environments
  • Implement strict access controls on NVIDIA device files (/dev/nvidia*) to restrict interaction to authorized processes
  • Monitor systems closely for signs of exploitation while awaiting patch deployment
bash
# Verify current NVIDIA driver version
nvidia-smi --query-gpu=driver_version --format=csv,noheader

# Check NVIDIA kernel modules
lsmod | grep nvidia

# Review device file permissions
ls -la /dev/nvidia*

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechNvidia Gpu Display Driver

  • SeverityHIGH

  • CVSS Score7.1

  • EPSS Probability0.02%

  • 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-190
  • Technical References
  • NVIDIA Customer Support Resolution
  • Related CVEs
  • CVE-2025-33218: NVIDIA GPU Driver Privilege Escalation

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

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

  • CVE-2023-25515: Nvidia GPU Display Driver 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