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CVE Vulnerability Database
Vulnerability Database/CVE-2026-40200

CVE-2026-40200: musl libc Buffer Overflow Vulnerability

CVE-2026-40200 is a buffer overflow flaw in musl libc versions 0.7.10 through 1.2.6 that causes stack corruption during qsort of large arrays. This article covers technical details, affected versions, and mitigation.

Published: April 17, 2026

CVE-2026-40200 Overview

A stack-based memory corruption vulnerability has been discovered in musl libc affecting versions 0.7.10 through 1.2.6. The vulnerability occurs during qsort operations on very large arrays due to incorrectly implemented double-word primitives. Exploitation requires sorting arrays with more than approximately seven million elements—specifically exceeding the 32nd Leonardo number on 32-bit platforms or the 64th Leonardo number on 64-bit platforms.

Critical Impact

Stack-based memory corruption in the musl libc qsort function can potentially lead to code execution or system compromise when processing extremely large arrays.

Affected Products

  • musl libc 0.7.10 through 1.2.6
  • Linux distributions and embedded systems using affected musl libc versions
  • Container images and Alpine Linux-based deployments using vulnerable musl versions

Discovery Timeline

  • 2026-04-10 - CVE-2026-40200 published to NVD
  • 2026-04-13 - Last updated in NVD database

Technical Details for CVE-2026-40200

Vulnerability Analysis

This vulnerability is classified under CWE-670 (Always-Incorrect Control Flow Implementation), indicating a fundamental flaw in the control flow logic of the affected code. The stack-based memory corruption manifests specifically within the qsort implementation when handling arrays that exceed approximately seven million elements.

The vulnerability stems from incorrectly implemented double-word primitives used during the sorting operation. When the number of elements exceeds the 32nd Leonardo number (approximately 7.5 million) on 32-bit platforms, the flawed arithmetic operations can cause stack corruption. On 64-bit platforms, exploitation would require exceeding the 64th Leonardo number, which represents an impractically large array size.

The local attack vector means an attacker would need local access to influence the data being sorted, but no privileges are required to trigger the vulnerability. The scope change indicator suggests that successful exploitation could impact resources beyond the vulnerable component's security boundary.

Root Cause

The root cause is incorrectly implemented double-word primitives within the qsort algorithm. The musl libc implementation uses a smoothsort variant that relies on Leonardo numbers for heap organization. When array sizes grow extremely large, the flawed double-word arithmetic operations fail to properly handle intermediate calculations, resulting in stack buffer corruption.

Attack Vector

The attack requires local access to a system running an application that uses musl libc's qsort function with user-controlled or attacker-influenced data. An attacker would need to:

  1. Identify an application using musl libc for sorting operations
  2. Supply or manipulate input data to create an array exceeding approximately 7 million elements
  3. Trigger the qsort operation to corrupt the stack

The vulnerability mechanism involves the double-word primitives failing during the heap construction phase of smoothsort when processing extremely large element counts. This causes stack memory to be overwritten, potentially allowing control flow hijacking.

For detailed technical information about this vulnerability, refer to the OpenWall OSS-Security Thread.

Detection Methods for CVE-2026-40200

Indicators of Compromise

  • Unexpected crashes or segmentation faults in applications using musl libc during sorting operations
  • Stack smashing detected errors in system logs from musl-linked binaries
  • Abnormal memory access patterns when processing large datasets through sorting functions

Detection Strategies

  • Monitor applications for crashes occurring specifically during qsort operations with large datasets
  • Implement runtime detection for stack corruption using compiler protections like stack canaries
  • Audit application logs for segmentation faults in musl libc-linked binaries processing large arrays

Monitoring Recommendations

  • Review system logs for core dumps or crash reports from applications linked against musl libc versions 0.7.10 through 1.2.6
  • Monitor memory utilization patterns in applications that perform sorting on large datasets
  • Implement alerting for abnormal stack growth in processes using affected musl versions

How to Mitigate CVE-2026-40200

Immediate Actions Required

  • Identify all systems running musl libc versions 0.7.10 through 1.2.6
  • Prioritize updating musl libc to a patched version once available from the musl Releases Page
  • Review applications that perform qsort operations on large arrays and assess exposure

Patch Information

Security updates addressing this vulnerability should be obtained from the official musl libc project. Check the musl Releases Page for the latest patched version. For Alpine Linux and other musl-based distributions, apply the latest security updates through your distribution's package manager.

Workarounds

  • Implement application-level input validation to restrict array sizes passed to qsort to below 7 million elements on 32-bit systems
  • Consider using alternative sorting implementations for applications that must handle extremely large arrays
  • Deploy applications in containers with restricted memory limits to prevent allocation of sufficiently large arrays
bash
# Check installed musl libc version
ldd --version 2>&1 | grep -i musl

# For Alpine Linux, update musl package
apk update && apk upgrade musl

# Verify applications linked against musl
ldd /path/to/application | grep musl

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechMusl Libc

  • SeverityHIGH

  • CVSS Score8.1

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-670
  • Technical References
  • musl Releases Page

  • OpenWall OSS-Security Thread

  • OpenWall OSS-Security Thread
  • Related CVEs
  • CVE-2026-6042: musl libc DOS Vulnerability
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