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-2026-27622

CVE-2026-27622: OpenEXR Buffer Overflow Vulnerability

CVE-2026-27622 is a buffer overflow vulnerability in OpenEXR that occurs during deep scan line pixel reading. Attackers can exploit integer wrapping to overrun composite sample buffers. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: March 6, 2026

CVE-2026-27622 Overview

CVE-2026-27622 is an integer overflow vulnerability in OpenEXR, the specification and reference implementation of the EXR file format widely used in the motion picture industry. The vulnerability exists in the CompositeDeepScanLine::readPixels function where per-pixel totals are accumulated in a vector<unsigned int> called total_sizes. When processing attacker-controlled large counts across many parts, the total_sizes[ptr] value wraps modulo 2^32, causing subsequent buffer allocations to be undersized. This leads to an out-of-bounds write condition when the true sample counts are used during decode operations.

Critical Impact

Successful exploitation of this vulnerability could allow attackers to achieve arbitrary code execution by crafting malicious EXR image files that trigger heap buffer overflows during image processing operations.

Affected Products

  • OpenEXR versions prior to 3.2.6
  • OpenEXR versions 3.3.x prior to 3.3.8
  • OpenEXR versions 3.4.x prior to 3.4.6

Discovery Timeline

  • 2026-03-03 - CVE-2026-27622 published to NVD
  • 2026-03-05 - Last updated in NVD database

Technical Details for CVE-2026-27622

Vulnerability Analysis

This vulnerability represents a classic integer overflow condition that leads to a heap buffer overflow (CWE-787). The root cause lies in the accumulation of per-pixel sample counts using 32-bit unsigned integers, which can overflow when processing specially crafted EXR files with excessively large counts distributed across multiple parts.

When the CompositeDeepScanLine::readPixels function processes deep scanline data, it accumulates sample counts in the total_sizes vector. An attacker can craft an EXR file with carefully calculated counts that cause this accumulator to wrap around to a small value due to 32-bit integer overflow. The overall_sample_count derived from these wrapped totals is then used to allocate the sample buffer via samples[channel].resize(overall_sample_count), resulting in a buffer that is significantly smaller than required.

Subsequently, when the decode pointer setup and consumption proceeds with the true (unwrapped) sample counts, write operations in the core unpack function (generic_unpack_deep_pointers) overrun the undersized composite sample buffer, leading to heap corruption.

Root Cause

The vulnerability stems from insufficient bounds checking when accumulating pixel sample counts in 32-bit unsigned integer variables. The total_sizes vector uses unsigned int elements, which on most platforms are 32 bits. When an attacker provides EXR data with extremely large sample counts across multiple parts, the arithmetic addition causes integer wraparound, resulting in an incorrectly small allocation size that does not match the actual data requirements.

Attack Vector

Exploitation requires user interaction where a victim opens a maliciously crafted EXR image file. The attack is local in nature, meaning the attacker must deliver the malicious file to the target system through phishing, file sharing, or other social engineering techniques. Once the victim opens the file with an application using a vulnerable OpenEXR library, the integer overflow triggers during the deep scanline pixel reading operation.

The vulnerability is particularly concerning for applications in the visual effects and motion picture industries where EXR files are routinely exchanged between vendors, studios, and artists. An attacker could embed a malicious EXR file within a larger production workflow, potentially compromising systems involved in film or game production pipelines.

Detection Methods for CVE-2026-27622

Indicators of Compromise

  • Presence of EXR files with abnormally large deep sample counts in file metadata
  • Application crashes in OpenEXR library functions, particularly CompositeDeepScanLine::readPixels or generic_unpack_deep_pointers
  • Unexpected memory allocation patterns or heap corruption errors when processing EXR files
  • Core dumps or crash reports indicating heap buffer overflows in image processing applications

Detection Strategies

  • Monitor for unusual EXR file processing behavior including excessive memory allocation requests
  • Implement application-level sandboxing for image processing workloads to contain potential exploitation
  • Deploy endpoint detection rules targeting heap overflow patterns in OpenEXR-dependent applications
  • Review application logs for crashes or exceptions during EXR file parsing operations

Monitoring Recommendations

  • Enable crash reporting and core dump analysis for applications utilizing OpenEXR libraries
  • Implement file integrity monitoring for incoming EXR files in production pipelines
  • Configure memory protection mechanisms such as ASLR and stack canaries to mitigate exploitation
  • Monitor network traffic for unusual EXR file transfers that may indicate targeted attacks

How to Mitigate CVE-2026-27622

Immediate Actions Required

  • Upgrade OpenEXR to patched versions 3.2.6, 3.3.8, or 3.4.6 immediately
  • Audit all applications and dependencies that utilize the OpenEXR library
  • Restrict processing of untrusted EXR files until patches are applied
  • Implement input validation to reject EXR files with suspicious metadata characteristics

Patch Information

The OpenEXR project has released security updates addressing this vulnerability. Users should upgrade to one of the following fixed versions based on their current release branch:

  • Version 3.2.6 for users on the 3.2.x branch
  • Version 3.3.8 for users on the 3.3.x branch
  • Version 3.4.6 for users on the 3.4.x branch

For detailed patch information and upgrade instructions, refer to the OpenEXR Security Advisory.

Workarounds

  • Avoid processing EXR files from untrusted sources until patches can be applied
  • Implement application sandboxing to isolate EXR processing from critical system components
  • Use alternative image formats where possible for untrusted content
  • Deploy network-level filtering to block potentially malicious EXR files at ingress points
bash
# Verify installed OpenEXR version
pkg-config --modversion OpenEXR

# For systems using apt package manager
apt list --installed | grep openexr

# Update to patched version via package manager
sudo apt update && sudo apt upgrade libopenexr-dev

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechOpenexr

  • SeverityHIGH

  • CVSS Score8.4

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/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
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-787
  • Vendor Resources
  • GitHub Security Advisory
  • Related CVEs
  • CVE-2026-34379: OpenEXR Buffer Overflow Vulnerability

  • CVE-2026-34380: OpenEXR Buffer Overflow Vulnerability

  • CVE-2026-34588: OpenEXR Buffer Overflow Vulnerability

  • CVE-2026-34589: OpenEXR Buffer Overflow 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