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CVE-2025-56226

CVE-2025-56226 Memory Leak in Libsndfile
📅 PUBLISHED: 2026-01-14 00:00 UTC 🔄 UPDATED: 2026-09-24 06:01 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.36%
👁️
0.36% probability
9.1× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
SOON
PENDING NVD
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-56226 describes a memory leak vulnerability in the mpeg_l3_encoder_init() function within the mpeg_l3_encode.c file of the Libsndfile library, affecting versions up to and including 1.2.2. A memory leak occurs when allocated memory is not properly freed after use, leading to gradual resource exhaustion. While this vulnerability does not directly allow code execution or data corruption, it can be exploited in a Denial of Service (DoS) scenario by repeatedly triggering the vulnerable function, causing the target application or system to run out of memory. The vulnerability is classified as a CWE-401: Missing Release of Memory after Effective Lifetime. No public proof-of-concept (PoC) code or exploit is currently available, and the patch status remains unknown.

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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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Supply Chain & Package Security

Libsndfile is a widely used C library for reading and writing various audio file formats. It is a dependency for many audio processing applications, media players, and development tools across Linux, macOS, and Windows ecosystems. A memory leak in a core library like Libsndfile can have cascading effects on any software that links against it, potentially leading to instability in audio processing pipelines, media servers, and desktop environments. Organizations using Libsndfile in their software supply chain should monitor for updates and consider temporary mitigations until an official patch is released.

CVSS Breakdown & Threat Level

The CVSS score is listed as 0.0, which is likely a placeholder or unassigned value. Based on the nature of the vulnerability (memory leak leading to DoS), a reasonable CVSS v3.1 vector would be:

  • Attack Vector (AV): Local (L) – The attacker needs to interact with the vulnerable function locally.
  • Attack Complexity (AC): Low (L) – No special conditions are required.
  • Privileges Required (PR): None (N) – No authentication needed.
  • User Interaction (UI): Required (R) – The victim must process a crafted audio file.
  • Scope (S): Unchanged (U) – The vulnerability does not cross trust boundaries.
  • Confidentiality (C): None (N) – No data exposure.
  • Integrity (I): None (N) – No data modification.
  • Availability (A): High (H) – Memory exhaustion can cause a denial of service.

Estimated CVSS Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H Estimated Base Score: 5.5 (Medium)

Threat Level: Medium. The vulnerability requires user interaction and only impacts availability. However, in environments where Libsndfile processes untrusted audio files (e.g., media servers, web upload services), the risk is elevated.

Deep Dive & Mechanics

The vulnerability resides in the mpeg_l3_encoder_init() function within mpeg_l3_encode.c. This function is responsible for initializing the MPEG Layer 3 encoder context. A memory leak occurs when memory is allocated for internal structures (e.g., bitstream buffers, psychoacoustic model data) but is not properly deallocated if the initialization fails or if the function is called multiple times without proper cleanup.

The root cause is likely a missing free() call for previously allocated memory when an error condition is encountered during initialization. For example, if the function allocates memory for a buffer and then fails to allocate a second buffer, it may return an error without freeing the first buffer. Over repeated calls, this leads to memory exhaustion.

The vulnerable code path can be triggered by:

  1. Opening a crafted audio file that causes mpeg_l3_encoder_init() to be called.
  2. The function allocates memory for encoder state.
  3. An error occurs (e.g., invalid sample rate, unsupported bitrate).
  4. The function returns an error code without freeing the previously allocated memory.

Vulnerable vs. Patched Code

Since no patch is available, the following is a hypothetical comparison based on common memory leak fixes.

Vulnerable Code (libsndfile <= 1.2.2):

int mpeg_l3_encoder_init(MPEG_L3_ENCODER *encoder) {
    encoder->buffer = malloc(BUFFER_SIZE);
    if (!encoder->buffer) {
        return -1; // Memory leak: buffer not freed
    }
    encoder->state = malloc(STATE_SIZE);
    if (!encoder->state) {
        return -1; // Memory leak: buffer not freed
    }
    // ... initialization ...
    return 0;
}

Patched Code (Hypothetical):

int mpeg_l3_encoder_init(MPEG_L3_ENCODER *encoder) {
    encoder->buffer = malloc(BUFFER_SIZE);
    if (!encoder->buffer) {
        return -1;
    }
    encoder->state = malloc(STATE_SIZE);
    if (!encoder->state) {
        free(encoder->buffer); // Fixed: free previously allocated memory
        encoder->buffer = NULL;
        return -1;
    }
    // ... initialization ...
    return 0;
}

Exploitation & Lab Setup

Red Team

Objective: Trigger a denial of service by exhausting memory on a target system running an application that uses Libsndfile.

Lab Setup:

  1. Target: Ubuntu 22.04 LTS with libsndfile1-dev (version 1.2.2) installed.
  2. Victim Application: A simple audio file converter that uses Libsndfile (e.g., sndfile-convert).
  3. Attacker Machine: Kali Linux.

Exploitation Steps:

  1. Craft a malicious audio file: Create a specially crafted WAV or AIFF file that triggers the memory leak in mpeg_l3_encoder_init(). Since no public PoC exists, this requires reverse engineering the vulnerable function to identify the exact conditions that cause the leak.
  2. Deliver the file: Use social engineering or a web upload service to deliver the file to the victim.
  3. Trigger the vulnerability: The victim opens the file with the vulnerable application.
  4. Repeat: Send multiple files or use a script to repeatedly trigger the function to accelerate memory exhaustion.

Example Script (Conceptual):

#!/bin/bash
# Repeatedly trigger the vulnerable function
for i in {1..1000}; do
    sndfile-convert malicious.wav /dev/null
done

Blue Team

Detection:

  1. Monitor memory usage: Track memory consumption of processes using Libsndfile.
  2. Log analysis: Look for repeated crashes or out-of-memory errors in application logs.
  3. File scanning: Use YARA rules to detect crafted audio files that may trigger the vulnerability.

Mitigation:

  1. Limit file uploads: Restrict the size and type of audio files that can be processed.
  2. Resource limits: Use cgroups or ulimit to limit memory usage per process.
  3. Sandboxing: Run audio processing in isolated containers with memory limits.

Indicators of Compromise (IOCs)

  • File Hashes: (None available, but crafted files may have specific patterns)
  • Process Behavior: sndfile-convert or other Libsndfile-based processes consuming excessive memory over time.
  • Network Traffic: (None, as this is a local vulnerability)
  • Log Entries:
    • Out of memory errors in system logs.
    • Application crashes with SIGKILL due to OOM killer.
  • YARA Rule Match: Files matching the YARA rule below.

Detection Engineering

YARA Rule

rule CVE_2025_56226_Memory_Leak_Trigger {
    meta:
        description = "Detects crafted audio files that may trigger memory leak in libsndfile mpeg_l3_encoder_init"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2025-56226"
    strings:
        $mpeg_magic = { 00 00 00 00 } // Placeholder for MPEG header pattern
        $trigger_bytes = { FF F? ?? ?? } // Example: MPEG sync word
    condition:
        $mpeg_magic at 0 and $trigger_bytes
}

Sigma Rule

title: Memory Exhaustion via Libsndfile CVE-2025-56226
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects excessive memory consumption by processes using libsndfile, indicating potential exploitation of CVE-2025-56226.
author: Valters IT
date: 2025-04-10
logsource:
    category: process_creation
    product: linux
detection:
    selection:
        Image|endswith:
            - '/sndfile-convert'
            - '/sox'
            - '/ffmpeg'
        CommandLine|contains: '.wav'
    condition: selection
    timeframe: 5m
    aggregation:
        field: Image
        function: count
        condition: gt 100
falsepositives:
    - Legitimate batch processing of audio files
level: medium

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-56226 - Potential Libsndfile Memory Leak Trigger via Audio File Download"; flow:to_client,established; file_store; fileext:"wav"; content:"|FF FB|"; distance:0; within:2; classtype:attempted-dos; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Monitor for patches: Track the Libsndfile project (https://github.com/libsndfile/libsndfile) for a security release.
  2. Apply workarounds: If possible, disable MPEG Layer 3 encoding support in applications that use Libsndfile.
  3. Memory limits: Use ulimit -v to limit virtual memory for processes that handle untrusted audio files.

Long-term Fix:

  • Upgrade to a patched version of Libsndfile once available.
  • Rebuild applications with the patched library.

Compensating Controls:

  • Implement file validation before processing (e.g., check file headers, sample rates).
  • Use memory-safe languages or sandboxed environments for audio processing.

Valters IT Signature

This report was generated by Valters IT DevSecOps AI. For questions, contact security@valters-it.com.

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-56226/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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