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-2026-23414

CVE-2026-23414: Linux Kernel TLS Memory Leak Vulnerability

CVE-2026-23414 is a memory leak flaw in the Linux kernel TLS subsystem affecting async decryption operations. The issue occurs when skbs are not properly released from the async_hold queue. This article covers technical details, impact, and mitigation.

Published: April 2, 2026

CVE-2026-23414 Overview

CVE-2026-23414 is a memory leak vulnerability in the Linux kernel's TLS (Transport Layer Security) subsystem. The flaw exists in the tls_decrypt_async_wait() function, which fails to properly purge the async_hold queue containing encrypted input socket buffers (skbs) when asynchronous AEAD (Authenticated Encryption with Associated Data) decryption operations complete.

The async_hold queue pins encrypted input skbs while the AEAD engine references their scatterlist data. When tls_decrypt_async_wait() returns, all AEAD operations have completed, but the held skbs may not be freed in certain failure scenarios. Specifically, when tls_strp_msg_hold() fails partway through after adding cloned skbs to the async_hold queue, the system drops back to synchronous mode without properly flushing the queue, resulting in a memory leak.

Critical Impact

Repeated exploitation of this memory leak can lead to kernel memory exhaustion, potentially causing system instability or denial of service on systems using kernel TLS for encrypted network communications.

Affected Products

  • Linux kernel with TLS software encryption support (tls_sw)
  • Systems using kernel TLS (kTLS) for network encryption
  • Applications utilizing TLS offload functionality

Discovery Timeline

  • April 02, 2026 - CVE CVE-2026-23414 published to NVD
  • April 02, 2026 - Last updated in NVD database

Technical Details for CVE-2026-23414

Vulnerability Analysis

This vulnerability represents a memory leak condition in the Linux kernel's TLS software implementation. The root of the issue lies in the handling of asynchronous decryption operations where multiple code paths interact with the async_hold queue.

The tls_sw_recvmsg() function only flushes the async_hold queue when a record has been processed in "fully-async" mode. However, when tls_strp_msg_hold() fails after partially populating the queue with cloned skbs, tls_decrypt_sg() calls tls_decrypt_async_wait() to process pending decrypts before falling back to synchronous mode. In this failure path, the held skbs are never released because the async mode flush condition isn't met.

The vulnerability affects three distinct code paths:

  1. The recvmsg drain path
  2. The -EBUSY fallback in tls_do_decryption()
  3. The batch path introduced for tls_sw_read_sock()

Root Cause

The root cause is the decentralized management of the async_hold queue purge operation. Each call site that synchronizes with pending AEAD operations was responsible for independently managing the skb purge, leading to inconsistent cleanup behavior. The fix centralizes the __skb_queue_purge(&ctx->async_hold) call within tls_decrypt_async_wait() itself, ensuring that every synchronization point properly releases held skbs without requiring each caller to handle the purge.

Attack Vector

This vulnerability can be triggered locally by any process utilizing kernel TLS encryption. An attacker with the ability to establish TLS connections through the kernel's native TLS implementation could repeatedly trigger the failure condition in tls_strp_msg_hold(), causing progressive memory exhaustion. The attack requires:

  1. Access to create sockets with kernel TLS enabled (SOL_TLS socket option)
  2. The ability to trigger partial failures during async decryption batching
  3. Sustained network activity to accumulate leaked memory over time

The vulnerability does not directly provide code execution capabilities, but the resulting resource exhaustion could be leveraged as part of a larger denial of service attack against the affected system.

Detection Methods for CVE-2026-23414

Indicators of Compromise

  • Gradual increase in kernel memory consumption (slab allocations) on systems using kTLS
  • Memory pressure warnings in system logs related to network buffer allocations
  • Unexplained growth in sk_buff allocations visible through /proc/slabinfo

Detection Strategies

  • Monitor kernel memory usage patterns, specifically tracking skbuff_head_cache and related slab caches for abnormal growth
  • Implement alerts for systems where kTLS is enabled that show sustained memory consumption increases without corresponding application load
  • Review system logs for TLS-related error messages indicating decryption failures or fallback to synchronous mode

Monitoring Recommendations

  • Enable kernel memory leak detection tools such as kmemleak during testing and staging environments
  • Deploy monitoring for /proc/meminfo focusing on Slab and SUnreclaim values on production systems using kTLS
  • Configure alerting thresholds for memory consumption anomalies on network-intensive servers

How to Mitigate CVE-2026-23414

Immediate Actions Required

  • Update to a patched Linux kernel version containing the fix commits
  • Consider temporarily disabling kernel TLS (kTLS) and using userspace TLS implementations if patching is not immediately feasible
  • Monitor affected systems for signs of memory exhaustion while awaiting patch deployment

Patch Information

The vulnerability has been resolved by centralizing the __skb_queue_purge(&ctx->async_hold) call into tls_decrypt_async_wait(). This ensures that all code paths properly release held skbs upon synchronization with pending AEAD operations.

Official patches are available through the Linux kernel stable tree:

  • Kernel Git Commit 2dcf324
  • Kernel Git Commit 6dc11e0
  • Kernel Git Commit 84a8335
  • Kernel Git Commit 9f557c7
  • Kernel Git Commit fd8037e

Workarounds

  • Disable kernel TLS by not setting SOL_TLS socket options at the application level, reverting to userspace TLS libraries such as OpenSSL
  • Limit kernel TLS usage to trusted applications where the risk of triggering the leak condition is minimized
  • Implement memory monitoring and automatic service restarts as a temporary mitigation until patches can be applied
bash
# Check if kTLS is enabled on the system
cat /proc/sys/net/tls/enabled

# Verify current kernel version
uname -r

# Monitor slab cache for potential memory leaks
watch -n 5 'cat /proc/slabinfo | grep -E "skbuff|tls"'

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 2dcf324

  • Kernel Git Commit 6dc11e0

  • Kernel Git Commit 84a8335

  • Kernel Git Commit 9f557c7

  • Kernel Git Commit fd8037e
  • Related CVEs
  • CVE-2026-23416: Linux Kernel VMA Merge Vulnerability

  • CVE-2026-23403: Linux Kernel Memory Leak Vulnerability

  • CVE-2026-23399: Linux Kernel Memory Leak Vulnerability

  • CVE-2026-23324: Linux Kernel USB URB Anchor 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