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-2026-3950

CVE-2026-3950: libheif Buffer Overflow Vulnerability

CVE-2026-3950 is a buffer overflow vulnerability in strukturag libheif up to version 1.21.2 that allows out-of-bounds read attacks. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: March 13, 2026

CVE-2026-3950 Overview

A vulnerability was identified in strukturag libheif up to version 1.21.2. This out-of-bounds read vulnerability impacts the function Track::load within the file libheif/sequences/track.cc of the stsz/stts component. The manipulation of image sequence data leads to an out-of-bounds read condition. The attack requires local access to the system, and a proof-of-concept exploit has been publicly disclosed. An unofficial patch is available but has not yet been approved by the maintainers.

Critical Impact

Local attackers can trigger an out-of-bounds read in libheif's image sequence processing, potentially causing denial of service or information disclosure when processing maliciously crafted HEIF/HEIC image files.

Affected Products

  • strukturag libheif versions up to and including 1.21.2
  • Applications and services utilizing libheif for HEIF/HEIC image processing
  • Image viewers, converters, and media applications with libheif dependencies

Discovery Timeline

  • 2026-03-11 - CVE-2026-3950 published to NVD
  • 2026-03-12 - Last updated in NVD database

Technical Details for CVE-2026-3950

Vulnerability Analysis

This vulnerability is classified as CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer). The flaw exists in the Track::load function responsible for parsing image sequence data within HEIF container files. Specifically, the vulnerability occurs when processing the stsz (sample size) and stts (time-to-sample) box atoms, which define how samples are organized within a track.

When a maliciously crafted HEIF file contains manipulated chunk index values, the parsing logic fails to properly validate boundaries before accessing memory. This results in an out-of-bounds read operation that can expose adjacent memory contents or cause application crashes.

The attack requires local access, meaning an attacker must either have the ability to place a malicious file on the target system or convince a user to open a crafted HEIF/HEIC image file.

Root Cause

The root cause lies in insufficient bounds checking within the Track::load function when handling the chunk index (chunk_idx) during image sequence decoding. The code processes sample-to-chunk mappings without adequately verifying that the computed indices fall within the allocated buffer boundaries for the stsz and stts box data structures.

Attack Vector

The attack vector requires local access to the target system. An attacker would need to:

  1. Craft a malicious HEIF/HEIC file with manipulated stsz or stts box atoms containing invalid chunk indices
  2. Deliver the file to the victim through social engineering, file sharing, or by placing it in a location where automatic image processing occurs
  3. When the victim opens or previews the image using an application linked against a vulnerable libheif version, the out-of-bounds read is triggered

The vulnerability has been publicly documented with a proof-of-concept available at the GitHub PoC Repository. Technical discussion of the issue can be found in GitHub Issue #1715.

Detection Methods for CVE-2026-3950

Indicators of Compromise

  • Unexpected application crashes when processing HEIF/HEIC image files
  • Memory access violations or segmentation faults in applications using libheif
  • Presence of unusually structured HEIF files with malformed stsz or stts box atoms
  • AddressSanitizer (ASan) reports indicating out-of-bounds read in track.cc

Detection Strategies

  • Deploy memory safety tools (ASan, MSan) in development and testing environments to detect out-of-bounds access
  • Monitor application crash dumps for stack traces involving Track::load or related libheif functions
  • Implement file integrity checks for HEIF/HEIC files processed by critical systems
  • Use endpoint detection and response (EDR) solutions to identify anomalous behavior during image processing

Monitoring Recommendations

  • Enable verbose logging for image processing applications to capture parsing failures
  • Monitor system logs for recurring crashes in applications that handle HEIF/HEIC media
  • Implement alerting on unusual file access patterns involving HEIF/HEIC files from untrusted sources
  • Review application stability metrics for services dependent on libheif

How to Mitigate CVE-2026-3950

Immediate Actions Required

  • Identify all systems and applications using libheif version 1.21.2 or earlier
  • Restrict processing of HEIF/HEIC files from untrusted sources until patching is complete
  • Consider temporarily disabling HEIF/HEIC support in production environments where feasible
  • Review and apply the unofficial patch referenced in GitHub Pull Request #1721 after appropriate testing

Patch Information

An unofficial patch addressing this vulnerability is available via GitHub Pull Request #1721. Note that this patch has not yet been officially approved by the libheif maintainers. Organizations should evaluate the patch in their testing environments before deployment and monitor the libheif repository for an official release incorporating the fix.

Workarounds

  • Disable HEIF/HEIC image sequence processing if not required by business operations
  • Implement input validation to reject HEIF files with suspicious stsz/stts box structures before processing
  • Use sandboxed environments for processing untrusted image files to limit impact of exploitation
  • Configure applications to use alternative image formats (PNG, JPEG) where HEIF is not essential
bash
# Configuration example - Restrict HEIF processing in ImageMagick
# Add to /etc/ImageMagick-6/policy.xml or equivalent
# <policy domain="coder" rights="none" pattern="HEIC" />
# <policy domain="coder" rights="none" pattern="HEIF" />

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechStrukturag Libheif

  • SeverityMEDIUM

  • CVSS Score4.8

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-119
  • Technical References
  • GitHub PoC Repository

  • GitHub Library Repository

  • GitHub Issue #1715

  • GitHub Pull Request #1721

  • VulDB CTI ID #350382

  • VulDB #350382

  • VulDB Submission #766431
  • Latest CVEs
  • CVE-2025-49454: TinySalt Path Traversal Vulnerability

  • CVE-2025-48261: MultiVendorX Information Disclosure Flaw

  • CVE-2025-32119: CardGate WooCommerce SQL Injection Flaw

  • CVE-2025-26879: s2Member Plugin Reflected XSS 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