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-2026-35347

CVE-2026-35347: uutils coreutils Information Disclosure

CVE-2026-35347 is an information disclosure flaw in uutils coreutils comm utility that incorrectly consumes data from non-regular file inputs, causing silent data loss. This post covers technical details, impact, and mitigation.

Published: April 23, 2026

CVE-2026-35347 Overview

The comm utility in uutils coreutils contains an improper input validation vulnerability that causes data loss when processing non-regular file inputs. The are_files_identical function opens and reads from both input paths to compare content without first verifying if the paths refer to regular files. When an input path is a FIFO or a pipe, this pre-read operation drains the stream, leading to silent data loss before the actual comparison logic is executed. Additionally, the utility may hang indefinitely if it attempts to pre-read from infinite streams like /dev/zero.

Critical Impact

Silent data loss occurs when using FIFOs or pipes as input, and potential denial of service through indefinite hangs when processing infinite streams.

Affected Products

  • uutils coreutils versions prior to 0.6.0
  • Systems using the comm utility with non-regular file inputs (FIFOs, pipes)
  • Environments relying on stream-based file comparisons

Discovery Timeline

  • 2026-04-22 - CVE CVE-2026-35347 published to NVD
  • 2026-04-22 - Last updated in NVD database

Technical Details for CVE-2026-35347

Vulnerability Analysis

This vulnerability stems from improper input validation (CWE-20) in the comm utility's file comparison logic. The are_files_identical function was designed to optimize comparisons by pre-reading file contents, but it fails to account for the behavior of special file types. When processing regular files, this approach works as intended. However, when the input is a FIFO (named pipe) or an unnamed pipe, reading from the file descriptor consumes the data from the stream buffer. Since FIFOs and pipes are sequential and non-seekable, this consumed data cannot be retrieved for the subsequent comparison operation.

The vulnerability presents two distinct failure modes: for finite streams like user-created FIFOs, the data is silently consumed and lost; for infinite streams like /dev/zero or /dev/urandom, the pre-read operation never completes, causing the utility to hang indefinitely.

Root Cause

The root cause is the absence of file type validation before performing pre-read operations. The are_files_identical function directly opens and reads from input paths without checking whether they are regular files using system calls like fstat() or stat(). This violates the principle that stream-based inputs should only be read once and in sequence. The function should verify that inputs are regular, seekable files before attempting any content comparison that involves pre-reading.

Attack Vector

The attack vector requires local access to the system. An attacker or malicious script could craft scenarios where the comm utility processes FIFO inputs, causing data integrity issues in automated pipelines or shell scripts. In production environments where comm is used for data validation or synchronization tasks, this could result in incorrect comparison results due to the consumed data. The denial of service vector is exploitable by passing device files like /dev/zero as input, which would cause the process to hang indefinitely, potentially blocking dependent processes or consuming system resources.

The vulnerability can be exploited when the comm utility receives non-regular file inputs such as FIFOs created with mkfifo or piped input through process substitution. The pre-read operation in are_files_identical consumes data from these streams before the actual line-by-line comparison begins, resulting in either silent data loss or indefinite blocking. For detailed technical analysis, refer to the GitHub Pull Request #9545.

Detection Methods for CVE-2026-35347

Indicators of Compromise

  • Unexpected empty output or missing lines when using comm with FIFO or pipe inputs
  • Process hangs when comm is invoked with device files like /dev/zero or /dev/urandom
  • Shell scripts or automated pipelines producing inconsistent comparison results
  • High CPU or blocking processes associated with comm utility invocations

Detection Strategies

  • Monitor for hung comm processes that remain in an uninterruptible state for extended periods
  • Review shell scripts and automation workflows that use comm with process substitution or named pipes
  • Implement file type validation in wrapper scripts before invoking comm with untrusted inputs
  • Audit system logs for abnormal process behavior related to coreutils utilities

Monitoring Recommendations

  • Set process timeout limits for comm invocations in production environments
  • Implement alerts for processes consuming resources without completing
  • Review and test data processing pipelines that rely on comm for file comparison operations
  • Monitor for data integrity issues in systems using comm for synchronization tasks

How to Mitigate CVE-2026-35347

Immediate Actions Required

  • Upgrade uutils coreutils to version 0.6.0 or later which contains the fix
  • Review and audit scripts that use comm with non-regular file inputs
  • Implement file type checks before passing inputs to comm in critical workflows
  • Consider using alternative comparison methods for FIFO or pipe-based data

Patch Information

The vulnerability has been addressed in uutils coreutils version 0.6.0. The fix ensures proper file type validation is performed before any pre-read operations. Users should upgrade to this version or later to remediate the vulnerability. The patch details are available in the GitHub Pull Request #9545, and the fixed release can be obtained from the GitHub Release 0.6.0.

Workarounds

  • Validate input file types before invoking comm using test -f or stat commands
  • Avoid using comm with FIFOs, pipes, or device files until the patched version is deployed
  • Implement timeout wrappers around comm invocations to prevent indefinite hangs
  • Use temporary regular files instead of pipes when processing stream data with comm
bash
# Workaround: Validate file types before using comm
# Check if inputs are regular files before comparison
if [ -f "$file1" ] && [ -f "$file2" ]; then
    comm "$file1" "$file2"
else
    echo "Error: comm requires regular files, not FIFOs or pipes"
    exit 1
fi

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechCoreutils

  • SeverityMEDIUM

  • CVSS Score4.4

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-20
  • Technical References
  • GitHub Pull Request

  • GitHub Release 0.6.0
  • Related CVEs
  • CVE-2026-35343: uutils coreutils Information Disclosure

  • CVE-2026-35344: uutils dd Information Disclosure Flaw

  • CVE-2026-35351: uutils coreutils Information Disclosure

  • CVE-2026-35371: uutils coreutils Information Disclosure
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