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-2026-3219

CVE-2026-3219: pip Archive Handling Vulnerability

CVE-2026-3219 is an archive handling flaw in pip that processes concatenated tar and ZIP files as ZIP regardless of filename, potentially installing incorrect files. This article covers technical details, impact, and mitigation.

Published: April 23, 2026

CVE-2026-3219 Overview

CVE-2026-3219 is an improper input validation vulnerability in pip, the Python package installer. The vulnerability exists because pip handles concatenated tar and ZIP files as ZIP files regardless of the filename or whether a file is both a tar and ZIP file. This behavior could result in confusing installation behavior, such as installing "incorrect" files according to the filename of the archive, potentially allowing attackers to trick users into installing unexpected or malicious content.

Critical Impact

This vulnerability could allow attackers to craft malicious archives that appear to be legitimate tar files but are processed as ZIP files by pip, potentially leading to installation of unintended or malicious packages on the target system.

Affected Products

  • pip (Python Package Installer)
  • Python environments using vulnerable pip versions
  • Systems with automated pip-based package installation workflows

Discovery Timeline

  • April 20, 2026 - CVE-2026-3219 published to NVD
  • April 20, 2026 - Last updated in NVD database

Technical Details for CVE-2026-3219

Vulnerability Analysis

The vulnerability stems from how pip processes archive files during package installation. When pip encounters an archive file, it determines how to extract and process the contents based on the file's actual structure rather than its filename extension. This creates a situation where a file named with a .tar.gz extension but containing valid ZIP file headers will be processed as a ZIP file.

An attacker could exploit this by creating a polyglot file that is valid as both a tar and ZIP archive, containing different content in each format. When a user downloads what they believe to be a tar archive and installs it with pip, the tool may extract the ZIP content instead, leading to the installation of unexpected files.

The fix implemented in pip introduces stricter archive identification logic that only proceeds with installation if the file identifies uniquely as a ZIP or tar archive, not as both. This prevents the ambiguous handling of polyglot or concatenated archives.

Root Cause

The root cause is an improper input validation issue (CWE-434) in pip's archive handling logic. The package installer failed to properly validate and uniquely identify archive file formats before processing, allowing ambiguous files that match multiple archive formats to be handled inconsistently with user expectations based on the filename.

Attack Vector

The attack requires local access and user interaction. An attacker would need to:

  1. Create a specially crafted archive file that contains valid headers for both tar and ZIP formats
  2. Distribute the malicious archive to potential victims, disguised with a misleading filename
  3. Convince the user to install or extract the package using pip

The attack scenario involves social engineering to get users to download and install the malicious archive. Since pip processes the file based on its internal structure rather than filename, victims who download what appears to be a legitimate .tar.gz file may unknowingly install different content than expected.

The vulnerability can be triggered when pip processes downloaded packages or when users manually install packages from local archive files. The impact is limited to local integrity violations, as the attacker cannot achieve code execution directly through this vulnerability alone but could potentially use it as part of a larger supply chain attack.

Detection Methods for CVE-2026-3219

Indicators of Compromise

  • Archive files that exhibit characteristics of multiple file formats (polyglot files)
  • Unexpected package installations or file extractions that don't match the archive filename
  • Installation logs showing discrepancies between expected and actual installed files
  • Presence of archive files with mismatched content type and extension

Detection Strategies

  • Monitor pip installation logs for warnings about archive format ambiguity
  • Implement file integrity monitoring to detect unexpected changes after package installation
  • Use hash verification to validate downloaded packages against known good checksums
  • Deploy endpoint detection tools to identify polyglot file creation or usage

Monitoring Recommendations

  • Review pip installation activity logs for any unusual archive processing behavior
  • Monitor network traffic for downloads of potentially malicious archive files from untrusted sources
  • Implement security controls to verify package authenticity before installation
  • Enable verbose logging in pip to capture detailed archive processing information

How to Mitigate CVE-2026-3219

Immediate Actions Required

  • Upgrade pip to the latest version that includes the security fix
  • Review recently installed packages for any unexpected files or content
  • Verify the integrity of packages installed from untrusted or third-party sources
  • Configure pip to use trusted package indices exclusively

Patch Information

The pip development team has addressed this vulnerability in a security update. The fix ensures that pip only proceeds with installation if the file identifies uniquely as a ZIP or tar archive, not as both. Organizations should upgrade pip to the patched version as soon as possible.

For detailed information about the fix, refer to the GitHub Pull Request. Additional context is available in the Python Security Announcement and Openwall OSS Security Discussion.

Workarounds

  • Manually verify archive file types using system utilities before installing with pip
  • Only install packages from trusted PyPI repositories rather than local or third-party archives
  • Use pip hash verification to ensure downloaded packages match expected checksums
  • Implement organizational policies requiring package source verification before installation
bash
# Upgrade pip to the latest secure version
python -m pip install --upgrade pip

# Verify package hashes during installation
pip install --require-hashes -r requirements.txt

# Check pip version to confirm upgrade
pip --version

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

  • Vulnerability Details
  • TypeOther

  • Vendor/TechN/A

  • SeverityMEDIUM

  • CVSS Score4.6

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:N/VI:L/VA:N/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
  • IntegrityLow
  • AvailabilityNone
  • CWE References
  • CWE-434
  • Technical References
  • GitHub Pull Request

  • Python Security Announcement

  • Openwall OSS Security Discussion
  • Latest CVEs
  • CVE-2026-31740: Linux Kernel Race Condition Vulnerability

  • CVE-2026-31743: Linux Kernel Buffer Overflow Vulnerability

  • CVE-2026-31744: Linux Kernel NULL Pointer Vulnerability

  • CVE-2026-31745: Linux Kernel Use-After-Free 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