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-2026-4424

CVE-2026-4424: libarchive Information Disclosure Flaw

CVE-2026-4424 is an information disclosure vulnerability in libarchive caused by improper validation in RAR archive processing. Attackers can exploit this to access sensitive heap memory. Learn about the technical details, impact, and mitigation.

Published: March 20, 2026

CVE-2026-4424 Overview

A heap out-of-bounds read vulnerability has been identified in libarchive, a widely-used multi-format archive and compression library. This flaw exists within the RAR archive processing logic due to improper validation of the LZSS sliding window size after transitions between compression methods. A remote attacker can exploit this vulnerability by providing a specially crafted RAR archive, leading to the disclosure of sensitive heap memory information without requiring authentication or user interaction.

Critical Impact

This vulnerability enables remote attackers to disclose sensitive heap memory contents through malicious RAR archives, potentially exposing cryptographic keys, credentials, or other sensitive data stored in memory.

Affected Products

  • libarchive (versions prior to security patch)
  • Applications and systems utilizing libarchive for RAR archive processing
  • Linux distributions and package managers that depend on libarchive

Discovery Timeline

  • 2026-03-19 - CVE-2026-4424 published to NVD
  • 2026-03-19 - Last updated in NVD database

Technical Details for CVE-2026-4424

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-bounds Read), which occurs when software reads data past the end or before the beginning of an intended buffer. In the context of libarchive, the flaw manifests during RAR archive decompression when the library fails to properly validate the LZSS sliding window size following compression method transitions within the archive stream.

The LZSS (Lempel-Ziv-Storer-Szymanski) algorithm uses a sliding window to reference previously decompressed data. When RAR archives contain blocks using different compression methods, the transition between these methods requires careful reinitialization of the decompression state. The vulnerability allows an attacker to craft a RAR archive that triggers the library to read beyond the boundaries of the allocated sliding window buffer.

This out-of-bounds read condition can expose sensitive heap memory contents to the attacker. Since the vulnerability is exploitable via network-delivered archives without requiring authentication or user interaction, it presents a significant information disclosure risk.

Root Cause

The root cause lies in the insufficient bounds checking during compression method transitions in RAR archive processing. When libarchive encounters a RAR archive that switches between different compression algorithms mid-stream, the code fails to properly validate and reset the LZSS sliding window parameters. This oversight allows the decompression routine to reference memory locations outside the allocated buffer boundaries when processing subsequent data blocks.

Attack Vector

The attack vector is network-based, allowing remote exploitation. An attacker can deliver a specially crafted RAR archive through various means such as email attachments, file uploads, or any system that automatically processes archive files using libarchive. The exploitation does not require any prior authentication, and the victim need not interact with the malicious archive beyond having it processed by a vulnerable libarchive instance.

The attack scenario typically involves:

  1. Attacker crafts a RAR archive with specific compression method transitions
  2. The malicious archive triggers improper sliding window handling
  3. libarchive reads beyond buffer boundaries during decompression
  4. Heap memory contents are exposed, potentially revealing sensitive information

Detection Methods for CVE-2026-4424

Indicators of Compromise

  • Unusual crashes or memory errors in applications utilizing libarchive for RAR processing
  • Detection of malformed RAR archives with abnormal compression method transitions
  • Memory access violations logged by system monitoring tools during archive operations
  • Unexpected data exposure or leakage following archive processing operations

Detection Strategies

  • Monitor for applications processing RAR archives that exhibit memory corruption symptoms
  • Implement file integrity monitoring to detect potentially malicious RAR files with unusual internal structures
  • Deploy memory protection tools such as AddressSanitizer (ASan) in development and testing environments to identify out-of-bounds read conditions
  • Enable application-level logging for libarchive operations to track archive processing anomalies

Monitoring Recommendations

  • Configure SIEM systems to alert on memory access violations related to archive processing applications
  • Implement network traffic analysis to identify potentially malicious RAR files being transmitted
  • Monitor system logs for libarchive-related errors or crashes that may indicate exploitation attempts
  • Review application behavior patterns for unusual memory consumption during archive operations

How to Mitigate CVE-2026-4424

Immediate Actions Required

  • Update libarchive to the latest patched version that addresses the sliding window validation issue
  • Restrict processing of RAR archives from untrusted sources until patches are applied
  • Review and audit systems that automatically process archive files for potential exposure
  • Consider implementing additional input validation for archive files before processing

Patch Information

A fix for this vulnerability is available through the GitHub Pull Request for libarchive. Organizations should update to the patched version of libarchive as soon as possible. Additional details are available in the Red Hat CVE-2026-4424 Advisory and the Red Hat Bug 2449006 Details.

Workarounds

  • Disable RAR archive processing in applications where this functionality is not essential
  • Implement network-level filtering to block RAR archives from untrusted sources
  • Use containerization or sandboxing to isolate archive processing operations and limit potential information disclosure
  • Deploy memory protection mechanisms such as ASLR and stack canaries to reduce exploitation impact
bash
# Example: Check libarchive version and update on Debian/Ubuntu systems
apt-cache policy libarchive-dev
sudo apt update && sudo apt upgrade libarchive-dev

# Example: Verify libarchive version on RHEL/CentOS systems
rpm -q libarchive
sudo yum update libarchive

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechLibarchive

  • SeverityHIGH

  • CVSS Score7.5

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-125
  • Technical References
  • Red Hat CVE-2026-4424 Advisory

  • Red Hat Bug 2449006 Details

  • GitHub Pull Request for libarchive
  • Related CVEs
  • CVE-2026-5745: libarchive NULL Pointer DoS Vulnerability

  • CVE-2026-5121: libarchive RCE Vulnerability

  • CVE-2026-4426: libarchive DOS Vulnerability

  • CVE-2026-4111: libarchive RAR5 DoS 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