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CVE Vulnerability Database
Vulnerability Database/CVE-2023-39976

CVE-2023-39976: Clusterlabs Libqb Buffer Overflow Flaw

CVE-2023-39976 is a buffer overflow vulnerability in Clusterlabs Libqb caused by improper header size handling in log_blackbox.c. This article covers the technical details, affected versions, and mitigation strategies.

Published: February 4, 2026

CVE-2023-39976 Overview

CVE-2023-39976 is a buffer overflow vulnerability in log_blackbox.c within libqb before version 2.0.8. The flaw allows an attacker to trigger a buffer overflow via long log messages because the header size is not properly considered during log message serialization.

Critical Impact

This buffer overflow vulnerability can be exploited remotely without authentication, potentially leading to complete system compromise including confidentiality, integrity, and availability impacts.

Affected Products

  • clusterlabs libqb versions before 2.0.8

Discovery Timeline

  • 2023-08-08 - CVE CVE-2023-39976 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-39976

Vulnerability Analysis

The vulnerability resides in the logging blackbox functionality of libqb, specifically in how log messages are serialized. When processing log messages, the code failed to properly account for the header size when calculating buffer boundaries. This oversight means that when an attacker sends a sufficiently long log message, the data can overflow beyond the allocated buffer space.

The flaw is classified as CWE-120 (Buffer Copy without Checking Size of Input), a classic buffer overflow pattern where the software copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer.

Root Cause

The root cause of this vulnerability is the improper calculation of available buffer space when serializing log messages. The original code used max_size as the boundary for the log message serialization without subtracting the space already consumed by the header structure. This means that when a log message approaches the maximum allowed size, the combination of header and message data can exceed the actual buffer capacity, causing memory corruption.

Attack Vector

This vulnerability can be exploited remotely over the network without requiring any privileges or user interaction. An attacker can craft long log messages that, when processed by the vulnerable libqb library, overflow the buffer boundaries. Since libqb is commonly used in high-availability clustering solutions like Pacemaker and Corosync, successful exploitation could compromise critical infrastructure components.

c
 	chunk += sizeof(uint32_t);
 
 	/* log message */
-	msg_len = qb_vsnprintf_serialize(chunk, max_size, cs->format, ap);
-	if (msg_len >= max_size) {
+	msg_len = qb_vsnprintf_serialize(chunk, t->max_line_length, cs->format, ap);
+	if (msg_len >= t->max_line_length) {
 	    chunk = msg_len_pt + sizeof(uint32_t); /* Reset */
 
 	    /* Leave this at QB_LOG_MAX_LEN so as not to overflow the blackbox */

Source: GitHub Commit Update

The patch corrects the vulnerability by changing the boundary check from max_size to t->max_line_length, ensuring that the header size is properly accounted for and preventing buffer overflow conditions.

Detection Methods for CVE-2023-39976

Indicators of Compromise

  • Unexpected crashes or segmentation faults in applications using libqb for logging
  • Abnormally long log entries or malformed log data in system logs
  • Memory corruption indicators in processes utilizing libqb components
  • Unexpected behavior in Pacemaker, Corosync, or other cluster management tools

Detection Strategies

  • Monitor for crashes in applications that depend on libqb, particularly in clustering environments
  • Implement memory safety tools (AddressSanitizer, Valgrind) during testing to identify buffer overflow attempts
  • Review system logs for unusually long or malformed entries that may indicate exploitation attempts
  • Use intrusion detection systems to monitor for network traffic patterns associated with buffer overflow exploitation

Monitoring Recommendations

  • Enable crash reporting and analyze core dumps from libqb-dependent applications
  • Implement network monitoring to detect attempts to send excessively long log-related payloads
  • Set up alerts for unusual activity in high-availability clustering components
  • Regularly audit installed versions of libqb across infrastructure to ensure patched versions are deployed

How to Mitigate CVE-2023-39976

Immediate Actions Required

  • Update libqb to version 2.0.8 or later immediately
  • Inventory all systems running applications that depend on libqb (particularly cluster management tools)
  • Apply vendor patches from your Linux distribution if available
  • Temporarily isolate vulnerable systems from untrusted network segments if immediate patching is not possible

Patch Information

ClusterLabs has released version 2.0.8 of libqb which addresses this vulnerability. The fix modifies the buffer size calculation in log_blackbox.c to properly account for the header size when serializing log messages.

Key resources for patching:

  • GitHub Commit with Fix
  • GitHub Pull Request #490
  • Version Comparison v2.0.7 to v2.0.8

Fedora users should refer to the Fedora Package Announcement for distribution-specific updates.

Workarounds

  • Restrict network access to systems running vulnerable libqb versions to trusted sources only
  • Implement network-level filtering to limit exposure of clustering services to untrusted networks
  • Consider deploying application-level firewalls or input validation proxies in front of affected services
  • Monitor systems closely for signs of exploitation while planning the upgrade path
bash
# Check current libqb version
pkg-config --modversion libqb

# For systems using package managers, update to patched version
# Fedora/RHEL/CentOS
sudo dnf update libqb

# Debian/Ubuntu
sudo apt update && sudo apt upgrade libqb0

# Verify updated version
pkg-config --modversion libqb

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechLibqb

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.17%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-120
  • Technical References
  • GitHub Version Comparison

  • Fedora Package Announcement
  • Vendor Resources
  • GitHub Commit Update

  • GitHub Pull Request Discussion
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