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
    • 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-2026-32288

CVE-2026-32288: tar.Reader DoS Vulnerability

CVE-2026-32288 is a denial of service flaw in tar.Reader caused by unbounded memory allocation when processing malicious archives with old GNU sparse maps. This article covers technical details, impact, and mitigation.

Published: April 10, 2026

CVE-2026-32288 Overview

A memory exhaustion vulnerability exists in the Go archive/tar package where tar.Reader can allocate an unbounded amount of memory when reading a maliciously-crafted archive. The vulnerability is triggered when processing archives containing a large number of sparse regions encoded in the "old GNU sparse map" format, allowing attackers to cause resource exhaustion and denial of service conditions.

Critical Impact

Applications using Go's archive/tar package to process untrusted tar archives may be vulnerable to denial of service attacks through memory exhaustion.

Affected Products

  • Go archive/tar package (versions prior to security patch)
  • Applications using tar.Reader to process tar archives with sparse file support

Discovery Timeline

  • April 8, 2026 - CVE-2026-32288 published to NVD
  • April 8, 2026 - Last updated in NVD database

Technical Details for CVE-2026-32288

Vulnerability Analysis

This vulnerability is classified as a Resource Exhaustion denial of service issue affecting the tar.Reader component in Go's standard library. The root cause lies in how the tar reader handles sparse file metadata when parsing archives using the legacy "old GNU sparse map" format.

When processing tar archives, the tar.Reader must parse sparse file headers that describe non-contiguous data regions within a file. The old GNU sparse map format allows specification of multiple sparse regions, and a maliciously crafted archive can declare an extremely large number of these regions. The reader allocates memory to track each sparse region without implementing proper bounds checking on the total number of entries, leading to unbounded memory allocation.

This vulnerability is particularly concerning for server-side applications that accept and process user-uploaded tar archives, backup systems, container image registries, and CI/CD pipelines that extract archives from untrusted sources.

Root Cause

The vulnerability stems from insufficient validation of the sparse region count in the old GNU sparse map format. When parsing sparse file headers, the tar.Reader allocates memory proportional to the number of sparse entries declared in the archive header without implementing reasonable upper bounds. An attacker can craft an archive that declares millions of sparse regions, causing the reader to attempt massive memory allocations that exhaust available system resources.

Attack Vector

An attacker can exploit this vulnerability by crafting a malicious tar archive with an excessive number of sparse regions in the old GNU sparse map format. When a vulnerable application attempts to read this archive using tar.Reader, the following occurs:

  1. The tar reader parses the archive header and encounters sparse file metadata
  2. The old GNU sparse map format is detected, triggering legacy parsing code
  3. The reader allocates memory structures for each declared sparse region
  4. Without bounds checking, the allocation continues until memory is exhausted
  5. The application crashes or becomes unresponsive due to memory exhaustion

The attack requires the ability to supply a malicious tar archive to a target application. This could occur through file upload functionality, archive processing services, or any application that extracts tar files from untrusted sources.

Detection Methods for CVE-2026-32288

Indicators of Compromise

  • Unusual memory consumption spikes in applications processing tar archives
  • Application crashes or out-of-memory errors during tar extraction operations
  • Presence of tar archives with abnormally large sparse file headers
  • System resource exhaustion events correlated with archive processing activities

Detection Strategies

  • Monitor memory usage patterns of applications that process tar archives for anomalous growth
  • Implement logging for tar archive processing operations to identify suspicious files
  • Deploy application performance monitoring to detect resource exhaustion attempts
  • Review Go application dependencies to identify use of vulnerable archive/tar versions

Monitoring Recommendations

  • Configure memory usage alerts for services that handle tar archive processing
  • Implement resource limits (cgroups, ulimits) for archive processing workloads
  • Monitor system logs for OOM killer events related to Go applications
  • Track archive processing metrics including file sizes and processing times

How to Mitigate CVE-2026-32288

Immediate Actions Required

  • Update Go to the latest patched version that addresses this vulnerability
  • Identify all applications using the archive/tar package that process untrusted archives
  • Implement resource limits on archive processing operations as an interim measure
  • Consider temporarily disabling processing of tar archives from untrusted sources

Patch Information

The Go team has released a security patch to address this vulnerability. The fix implements proper bounds checking on sparse region allocations in the old GNU sparse map format handler. Review the Go.dev Change Log Entry for the specific code changes and the Go.dev Vulnerability Information for affected version details.

Additional resources:

  • Go.dev Issue Tracker Entry
  • Golang Announce Group Post

Workarounds

  • Implement memory limits on processes that handle tar archive extraction using OS-level controls
  • Add pre-processing validation to check tar archive headers before full extraction
  • Consider using containerization or sandboxing for archive processing workloads to limit blast radius
  • Implement archive size limits and reject excessively large or suspicious archives before processing
bash
# Example: Setting memory limits for Go applications processing tar archives
# Using systemd resource controls
systemctl set-property myapp.service MemoryMax=512M

# Using ulimit in shell scripts
ulimit -v 524288  # Limit virtual memory to 512MB
./tar-processor

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

  • Vulnerability Details
  • TypeDOS

  • Vendor/TechN/A

  • SeverityNONE

  • CVSS ScoreN/A

  • EPSS Probability0.01%

  • Known ExploitedNo
  • Impact Assessment
  • ConfidentialityNone
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • Go.dev Change Log Entry

  • Go.dev Issue Tracker Entry

  • Golang Announce Group Post

  • Go.dev Vulnerability Information
  • Latest CVEs
  • CVE-2026-46333: Linux Kernel Privilege Escalation Flaw

  • CVE-2026-2586: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-2587: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-45255: FreeBSD bsdinstall/bsdconfig RCE Flaw
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today 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