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-2025-52194

CVE-2025-52194: Libsndfile Buffer Overflow Vulnerability

CVE-2025-52194 is a buffer overflow flaw in Libsndfile that occurs when processing malformed IRCAM audio files, potentially enabling memory corruption and code execution. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: April 1, 2026

CVE-2025-52194 Overview

A buffer overflow vulnerability exists in libsndfile version 1.2.2 and potentially earlier versions when processing malformed IRCAM audio files. The vulnerability occurs in the ircam_read_header function at src/ircam.c:164 during sample rate processing, leading to memory corruption and potential code execution. This stack-based buffer overflow (CWE-121) can be triggered remotely when a user or application processes a specially crafted IRCAM audio file.

Critical Impact

Successful exploitation of this buffer overflow vulnerability could allow attackers to cause denial of service or potentially achieve arbitrary code execution through memory corruption when processing malicious audio files.

Affected Products

  • libsndfile version 1.2.2
  • libsndfile earlier versions (potentially affected)
  • Applications and systems utilizing libsndfile for audio file processing

Discovery Timeline

  • 2025-08-21 - CVE-2025-52194 published to NVD
  • 2025-09-11 - Last updated in NVD database

Technical Details for CVE-2025-52194

Vulnerability Analysis

This vulnerability is a stack-based buffer overflow (CWE-121) that occurs during the processing of IRCAM audio file headers. The ircam_read_header function in src/ircam.c at line 164 fails to properly validate input during sample rate processing, allowing an attacker to overflow a stack buffer when the library attempts to parse a maliciously crafted IRCAM audio file.

The vulnerability can be exploited remotely through the network attack vector, requiring no privileges or user interaction. When a vulnerable application processes a malformed IRCAM audio file, the buffer overflow can corrupt adjacent memory on the stack, potentially allowing an attacker to overwrite return addresses or other critical data structures.

Root Cause

The root cause of this vulnerability lies in insufficient bounds checking within the ircam_read_header function when processing sample rate data from IRCAM audio file headers. The function does not adequately validate the size or content of the sample rate field before copying it to a fixed-size buffer, resulting in a classic stack-based buffer overflow condition.

Attack Vector

An attacker can exploit this vulnerability by crafting a malicious IRCAM audio file with manipulated header data and delivering it to a target system. The attack vector is network-based, meaning the malicious file could be distributed through:

  • Email attachments processed by audio analysis applications
  • Web applications that process uploaded audio files
  • Media players or converters that use libsndfile
  • Audio processing pipelines in server environments

When the vulnerable application opens and attempts to parse the malformed IRCAM file, the buffer overflow is triggered during header processing, potentially leading to application crash or code execution.

The vulnerability mechanism occurs in the sample rate processing logic of the ircam_read_header function. When parsing IRCAM audio file headers, the function reads sample rate data without proper bounds validation, allowing oversized or malformed data to overflow the destination buffer on the stack. For detailed technical analysis, refer to the Bushido Security Analysis.

Detection Methods for CVE-2025-52194

Indicators of Compromise

  • Unexpected crashes or segmentation faults in applications using libsndfile when processing IRCAM audio files
  • Core dumps or crash logs indicating stack corruption in ircam_read_header or related functions
  • Abnormal memory access patterns detected by memory protection mechanisms
  • Presence of IRCAM files with unusual or malformed header structures

Detection Strategies

  • Deploy application crash monitoring to detect abnormal termination of libsndfile-dependent processes
  • Implement file integrity monitoring for audio files, specifically watching for IRCAM format files with suspicious header characteristics
  • Use memory corruption detection tools such as AddressSanitizer (ASan) during development and testing phases
  • Monitor system logs for segmentation fault events related to audio processing applications

Monitoring Recommendations

  • Enable verbose logging for applications that process audio files using libsndfile
  • Implement sandboxing or containerization for audio processing workflows to limit potential impact
  • Deploy endpoint detection and response (EDR) solutions capable of detecting exploitation attempts
  • Monitor network traffic for suspicious IRCAM file transfers to critical systems

How to Mitigate CVE-2025-52194

Immediate Actions Required

  • Audit systems to identify all installations of libsndfile version 1.2.2 and earlier
  • Temporarily restrict processing of IRCAM audio files in production environments until patched
  • Implement input validation at the application level to reject malformed audio files
  • Enable operating system-level protections such as ASLR, DEP/NX, and stack canaries

Patch Information

Monitor the libsndfile GitHub repository and the GitHub Issue #1082 for official patch releases. Update to the latest patched version of libsndfile as soon as it becomes available. Coordinate with downstream package maintainers to ensure timely updates through system package managers.

Workarounds

  • Disable IRCAM file format support in applications where it is not required
  • Implement file format validation and sanitization before passing files to libsndfile
  • Run audio processing applications in isolated environments with restricted privileges
  • Deploy application-level firewalls or proxies to filter potentially malicious audio file uploads
  • Consider using alternative audio processing libraries for IRCAM files until a patch is available
bash
# Check installed libsndfile version
pkg-config --modversion sndfile

# If using dynamic linking, verify library location and version
ldconfig -p | grep sndfile

# Review applications linked against libsndfile
ldd /path/to/application | grep sndfile

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechLibsndfile

  • SeverityHIGH

  • CVSS Score7.5

  • EPSS Probability0.19%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-121
  • Technical References
  • Bushido Security Analysis

  • GitHub libsndfile Repository
  • Vendor Resources
  • GitHub Issue #1082
  • Related CVEs
  • CVE-2025-56226: Libsndfile Memory Leak Vulnerability

  • CVE-2024-50613: Libsndfile 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