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-2025-47436

CVE-2025-47436: Apache ORC Buffer Overflow Vulnerability

CVE-2025-47436 is a heap-based buffer overflow in Apache ORC's C++ LZO decompression logic that causes memory corruption when processing malformed files. This article covers technical details, affected versions, and patches.

Published: April 1, 2026

CVE-2025-47436 Overview

CVE-2025-47436 is a heap-based buffer overflow vulnerability affecting the Apache ORC C++ library's LZO decompression logic. When processing specially crafted malformed ORC files, the decompressor incorrectly allocates a 250-byte buffer but then attempts to copy 295 bytes into it, causing memory corruption. This vulnerability affects multiple versions of Apache ORC across different release branches.

Critical Impact

Successful exploitation of this heap-based buffer overflow can lead to memory corruption, potentially enabling arbitrary code execution or denial of service when processing malicious ORC files.

Affected Products

  • Apache ORC C++ library through version 1.8.8
  • Apache ORC C++ library versions 1.9.0 through 1.9.5
  • Apache ORC C++ library versions 2.0.0 through 2.0.4
  • Apache ORC C++ library versions 2.1.0 through 2.1.1

Discovery Timeline

  • May 14, 2025 - CVE-2025-47436 published to NVD
  • July 14, 2025 - Last updated in NVD database

Technical Details for CVE-2025-47436

Vulnerability Analysis

This heap-based buffer overflow (CWE-122) occurs in the ORC C++ library's LZO decompression module. The vulnerability arises when the decompression logic processes malformed ORC files that have been specifically crafted to trigger an incorrect buffer size calculation. The decompressor allocates a 250-byte buffer based on metadata in the malformed file but subsequently attempts to write 295 bytes of decompressed data into this undersized buffer.

The 45-byte overflow corrupts adjacent heap memory, which can destabilize the application, lead to crashes, or potentially be leveraged by attackers to achieve code execution depending on the heap layout and application context. The local attack vector requires an attacker to deliver a malicious ORC file to a victim system where it will be processed by an application using the vulnerable Apache ORC library.

Root Cause

The root cause lies in insufficient validation of compressed data boundaries within the LZO decompression logic. The decompressor trusts metadata from the ORC file to determine buffer allocation sizes without adequately verifying that the actual decompressed output will fit within the allocated space. This missing bounds check allows crafted files to specify smaller buffer sizes than the actual decompressed data requires.

Attack Vector

Exploitation requires a local attack vector where an attacker must convince a user or automated system to process a maliciously crafted ORC file. The attack requires high privileges and active user interaction. Attack scenarios include:

  • Delivering malicious ORC files via email attachments to data engineering teams
  • Uploading crafted ORC files to data processing pipelines that automatically ingest ORC data
  • Compromising data lakes or storage systems to inject malicious ORC files
  • Supply chain attacks targeting shared datasets in ORC format

The vulnerability mechanism involves crafting an ORC file with manipulated LZO compression metadata. When the vulnerable library attempts to decompress the data, the undersized buffer allocation combined with the oversized write operation causes heap memory corruption.

Detection Methods for CVE-2025-47436

Indicators of Compromise

  • Application crashes or unexpected termination when processing ORC files
  • Heap corruption errors or memory allocation failures in ORC processing components
  • Abnormal memory consumption patterns during ORC file decompression
  • Segmentation faults in applications utilizing the Apache ORC C++ library

Detection Strategies

  • Monitor for crash dumps containing stack traces involving ORC LZO decompression functions
  • Implement file integrity monitoring on ORC file storage locations for unexpected modifications
  • Deploy endpoint detection to identify applications loading vulnerable Apache ORC library versions
  • Analyze application logs for repeated failures during ORC file processing operations

Monitoring Recommendations

  • Enable heap memory monitoring for applications processing untrusted ORC files
  • Configure crash reporting and analysis for ORC-dependent data processing pipelines
  • Implement anomaly detection for ORC file sizes and compression ratios
  • Monitor network traffic for ORC files originating from untrusted sources

How to Mitigate CVE-2025-47436

Immediate Actions Required

  • Upgrade Apache ORC C++ library to patched versions immediately
  • Audit systems to identify all applications using vulnerable Apache ORC library versions
  • Restrict processing of ORC files from untrusted sources until patches are applied
  • Implement input validation to reject ORC files with suspicious characteristics

Patch Information

Apache has released security patches addressing this vulnerability. Users should upgrade to the following fixed versions based on their current branch:

  • Version 1.8.9 for the 1.8.x branch
  • Version 1.9.6 for the 1.9.x branch
  • Version 2.0.5 for the 2.0.x branch
  • Version 2.1.2 for the 2.1.x branch

For detailed patch information, refer to the Apache CVE-2025-47436 Advisory and the Apache Mailing List Thread.

Workarounds

  • Disable or bypass LZO compression for ORC files until patches can be applied
  • Implement strict access controls to limit who can submit ORC files for processing
  • Deploy sandbox environments for processing untrusted ORC data
  • Consider alternative compression codecs (such as ZLIB or ZSTD) that are not affected by this vulnerability
bash
# Configuration example - Verify installed Apache ORC version
# Check for vulnerable versions and plan upgrade path

# For applications using Maven, check dependency version:
mvn dependency:tree | grep orc

# For C++ applications, verify library version:
strings /path/to/liborc.so | grep -i version

# Example: Upgrade to patched version in Maven project
# Update pom.xml with fixed version:
# <dependency>
#   <groupId>org.apache.orc</groupId>
#   <artifactId>orc-core</artifactId>
#   <version>2.1.2</version>
# </dependency>

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechApache Orc

  • SeverityMEDIUM

  • CVSS Score6.0

  • EPSS Probability0.29%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:P/PR:H/UI:A/VC:L/VI:H/VA:H/SC:L/SI:H/SA:H/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:N/AU:X/R:X/V:X/RE:M/U:Amber
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-122
  • Technical References
  • Apache CVE-2025-47436 Advisory

  • Openwall OSS-Security Discussion
  • Vendor Resources
  • Apache Mailing List Thread
  • Latest CVEs
  • CVE-2025-49454: TinySalt Path Traversal Vulnerability

  • CVE-2025-48261: MultiVendorX Information Disclosure Flaw

  • CVE-2025-32119: CardGate WooCommerce SQL Injection Flaw

  • CVE-2025-26879: s2Member Plugin Reflected XSS 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