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-2025-10865

CVE-2025-10865: GPU System Use After Free Vulnerability

CVE-2025-10865 is a use after free vulnerability affecting GPU system calls through improper reference counting. Non-privileged users may exploit this flaw to trigger memory corruption. This article covers technical details, affected systems, impact analysis, and mitigation strategies.

Updated: January 22, 2026

CVE-2025-10865 Overview

CVE-2025-10865 is a Use After Free vulnerability affecting GPU driver software. The vulnerability allows software installed and run as a non-privileged user to conduct improper GPU system calls, causing mismanagement of reference counting that leads to a potential use after free condition.

This vulnerability stems from improper reference counting on an internal GPU driver resource, creating a scenario where memory may be accessed after it has been freed. Use after free vulnerabilities are particularly dangerous as they can lead to arbitrary code execution, privilege escalation, or system instability.

Critical Impact

Non-privileged local users may exploit improper GPU system calls to trigger a use after free condition, potentially enabling code execution or privilege escalation within the GPU driver context.

Affected Products

  • Imagination Technologies GPU Drivers (specific versions not disclosed)

Discovery Timeline

  • January 13, 2026 - CVE CVE-2025-10865 published to NVD
  • January 13, 2026 - Last updated in NVD database

Technical Details for CVE-2025-10865

Vulnerability Analysis

This vulnerability is classified as CWE-416 (Use After Free), a memory corruption flaw that occurs when a program continues to use a pointer after the memory it references has been freed. In the context of CVE-2025-10865, the issue manifests within GPU driver system call handling, where reference counting mechanisms fail to properly track resource lifetimes.

When GPU system calls are executed by non-privileged user software, the driver's internal reference counting logic can be manipulated through specific call sequences. This causes the driver to prematurely free memory resources while references to those resources still exist. Subsequent operations that attempt to access the freed memory can result in use after free conditions.

The exploitation potential is significant because GPU drivers operate at a privileged level within the system. A successful exploit could allow an attacker to escalate privileges from a non-privileged user context to gain elevated access or execute arbitrary code within the kernel or driver context.

Root Cause

The root cause is improper reference counting on internal GPU driver resources. The driver fails to correctly increment or decrement reference counts during specific GPU system call sequences, leading to premature deallocation of memory objects while they are still in use. This reference counting mismanagement creates a window where freed memory can be accessed.

Attack Vector

The attack vector for CVE-2025-10865 involves a local attacker with non-privileged user access executing specially crafted GPU system calls. By manipulating the sequence and timing of these calls, an attacker can trigger the reference counting bug and cause the use after free condition.

The attack does not require network access and can be executed by any user with the ability to run software that interacts with the GPU driver. This includes:

  1. Executing a malicious application that makes crafted GPU system calls
  2. Manipulating the order of resource allocation and deallocation operations
  3. Exploiting the race condition or logic flaw in reference count management
  4. Gaining code execution or escalated privileges when freed memory is accessed

Technical details regarding specific exploitation techniques can be found in the Imagination Tech GPU Vulnerabilities advisory.

Detection Methods for CVE-2025-10865

Indicators of Compromise

  • Unexpected GPU driver crashes or system instability indicating memory corruption
  • Abnormal GPU system call patterns from non-privileged user processes
  • Kernel panic or blue screen events related to GPU driver memory access violations
  • Evidence of privilege escalation attempts from user-mode processes interacting with GPU drivers

Detection Strategies

  • Monitor for unusual GPU driver error messages in system logs indicating memory access violations
  • Implement application whitelisting to prevent unauthorized software from executing GPU-intensive operations
  • Deploy endpoint detection solutions capable of monitoring GPU driver interactions for anomalous behavior
  • Review process execution logs for non-privileged users making excessive GPU system calls

Monitoring Recommendations

  • Enable verbose GPU driver logging to capture detailed system call information
  • Configure security monitoring tools to alert on GPU driver crash events
  • Implement kernel-level monitoring for use after free exploitation patterns
  • Establish baseline GPU driver behavior to identify deviations that may indicate exploitation attempts

How to Mitigate CVE-2025-10865

Immediate Actions Required

  • Review and apply the latest GPU driver updates from Imagination Technologies
  • Restrict access to GPU resources for non-essential user accounts where possible
  • Monitor systems for signs of exploitation attempts targeting GPU drivers
  • Consider temporary isolation of systems with vulnerable GPU drivers from untrusted users

Patch Information

Patch information and updated driver versions are available from Imagination Technologies. Organizations should consult the Imagination Tech GPU Vulnerabilities page for the latest security updates and patching guidance.

Workarounds

  • Limit GPU driver access to trusted applications through application control policies
  • Implement principle of least privilege for user accounts that do not require GPU functionality
  • Enable additional system logging and monitoring to detect exploitation attempts until patches are applied
  • Consider disabling non-essential GPU features in environments where they are not required
bash
# Example: Review GPU driver version and check for updates
# Commands may vary based on operating system and GPU vendor

# Check current GPU driver version (Linux example)
lspci -v | grep -A 10 "VGA"
modinfo <gpu_driver_module_name>

# Monitor GPU driver events in system logs
dmesg | grep -i gpu
journalctl -k | grep -i gpu

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

  • Vulnerability Details
  • TypeUse After Free

  • Vendor/TechN/A

  • SeverityNONE

  • CVSS ScoreN/A

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-416
  • Technical References
  • Imagination Tech GPU Vulnerabilities
  • Latest CVEs
  • CVE-2025-70797: LimeSurvey XSS Vulnerability

  • CVE-2025-30650: Juniper Junos OS Auth Bypass Vulnerability

  • CVE-2026-35471: Goshs Path Traversal Vulnerability

  • CVE-2026-35393: Goshs Path Traversal 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