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-2025-68765

CVE-2025-68765: Linux Kernel Memory Leak Vulnerability

CVE-2025-68765 is a memory leak flaw in the Linux kernel's mt7615 wireless driver that occurs when error handling fails to free allocated memory. This article covers the technical details, affected systems, and patches.

Updated: January 22, 2026

CVE-2025-68765 Overview

A memory leak vulnerability has been identified in the Linux kernel's mt76 wireless driver, specifically within the mt7615 component. The flaw exists in the mt7615_mcu_wtbl_sta_add() function, where an allocated socket buffer (skb sskb) is not properly freed when a subsequent call to mt76_connac_mcu_alloc_wtbl_req() fails. This results in a memory leak that can accumulate over time, potentially leading to resource exhaustion and system instability.

Critical Impact

Repeated exploitation of this memory leak can lead to kernel memory exhaustion, causing system degradation and potential denial of service conditions on systems using MediaTek MT7615 wireless chipsets.

Affected Products

  • Linux kernel with mt76 mt7615 wireless driver
  • Systems using MediaTek MT7615 wireless chipsets
  • Embedded devices and routers with MT7615-based wireless connectivity

Discovery Timeline

  • 2026-01-05 - CVE CVE-2025-68765 published to NVD
  • 2026-01-08 - Last updated in NVD database

Technical Details for CVE-2025-68765

Vulnerability Analysis

This memory leak vulnerability occurs in the MediaTek mt7615 wireless driver's MCU (Microcontroller Unit) communication layer. The mt7615_mcu_wtbl_sta_add() function is responsible for adding station entries to the WTBL (Wireless Table) through MCU requests.

During the station addition process, the function allocates a socket buffer (sskb) to construct the MCU request. However, the error handling path does not properly release this allocated buffer when subsequent operations fail. Specifically, if mt76_connac_mcu_alloc_wtbl_req() returns an error, the function returns immediately without calling dev_kfree_skb() on the allocated sskb, causing the memory to remain allocated but unreachable.

Over time, especially in environments with frequent wireless station associations and disassociations, this leak can accumulate significant kernel memory, potentially impacting system stability and performance.

Root Cause

The root cause is missing error handling code in the mt7615_mcu_wtbl_sta_add() function. When an skb is allocated and a subsequent operation fails, the allocated memory is not freed before the function returns an error code. This is a classic resource cleanup omission in kernel driver code where all allocated resources must be released in error paths.

Attack Vector

The vulnerability can be triggered through repeated wireless station association attempts that cause the mt76_connac_mcu_alloc_wtbl_req() function to fail. While the attack vector requires proximity to the wireless network, an attacker could potentially craft scenarios that repeatedly trigger the error condition, leading to gradual memory exhaustion on the target system.

The fix involves adding a call to dev_kfree_skb() on the sskb variable in the error handling path, ensuring proper cleanup when mt76_connac_mcu_alloc_wtbl_req() fails. This ensures the socket buffer is properly released regardless of whether the function succeeds or fails.

Detection Methods for CVE-2025-68765

Indicators of Compromise

  • Gradual increase in kernel memory usage (slab allocations) over time
  • System memory pressure warnings in kernel logs
  • Degraded wireless performance on systems using MT7615 chipsets
  • Potential OOM (Out of Memory) killer activity affecting system processes

Detection Strategies

  • Monitor /proc/slabinfo for unusual growth in skbuff-related allocations
  • Track kernel memory usage trends using tools like vmstat or sar
  • Enable kernel memory debugging options such as KMEMLEAK to detect unreachable memory
  • Review system logs for mt76/mt7615 driver error messages indicating allocation failures

Monitoring Recommendations

  • Implement continuous monitoring of kernel memory consumption on affected systems
  • Set up alerts for abnormal memory growth patterns in embedded devices
  • Periodically restart wireless services on vulnerable systems as a temporary mitigation
  • Deploy kernel tracing tools to monitor mt7615_mcu_wtbl_sta_add() invocations and error returns

How to Mitigate CVE-2025-68765

Immediate Actions Required

  • Update the Linux kernel to a patched version that includes the memory leak fix
  • Monitor system memory usage on affected devices until patches can be applied
  • Consider temporarily limiting wireless station association rates if under active attack
  • Review system logs for signs of memory exhaustion related to the mt76 driver

Patch Information

The vulnerability has been fixed in the Linux kernel with commits available in the stable kernel tree. Multiple patches have been released targeting different kernel versions:

  • Kernel Git Commit 278bfed4529a
  • Kernel Git Commit 4d42aba0ee49
  • Kernel Git Commit 53d154861267
  • Kernel Git Commit fb905e69941b

The fix adds a call to dev_kfree_skb() in the error handling path to ensure the allocated socket buffer is properly freed when mt76_connac_mcu_alloc_wtbl_req() fails.

Workarounds

  • Implement periodic wireless service restarts to clear accumulated leaked memory
  • Reduce wireless client association frequency where possible
  • Monitor and proactively reboot systems showing signs of memory pressure
  • Consider using alternative wireless drivers if available for the hardware
bash
# Monitor kernel memory usage for mt76 driver allocations
cat /proc/slabinfo | grep -i skb

# Check kernel logs for mt76 driver errors
dmesg | grep -i mt76

# Monitor overall memory usage
watch -n 5 'free -m && cat /proc/meminfo | grep -i slab'

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

  • Vulnerability Details
  • TypeOther

  • Vendor/TechLinux Kernel

  • SeverityNONE

  • CVSS ScoreN/A

  • EPSS Probability0.02%

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Kernel Git Commit Update

  • Kernel Git Commit Update

  • Kernel Git Commit Update

  • Kernel Git Commit Update
  • Related CVEs
  • CVE-2026-31421: Linux Kernel cls_fw NULL Pointer Vulnerability

  • CVE-2026-31416: Linux Kernel Netfilter Header Vulnerability

  • CVE-2026-31417: Linux Kernel X.25 Overflow Vulnerability

  • CVE-2026-23457: Linux Kernel Integer Truncation 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