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CVE Vulnerability Database

CVE-2026-0708: libucl Denial of Service Vulnerability

CVE-2026-0708 is a denial of service flaw in libucl that allows remote attackers to trigger a segmentation fault via malicious UCL input. This article covers the technical details, affected versions, and mitigation strategies.

Published:

CVE-2026-0708 Overview

A flaw was found in libucl, the Universal Configuration Language library. A remote attacker could exploit this vulnerability by providing a specially crafted UCL input containing a key with an embedded null byte. This malformed input causes a segmentation fault (SEGV) in the ucl_object_emit function during object parsing and emission, resulting in a Denial of Service (DoS) condition for the affected system.

Critical Impact

Remote attackers can crash applications using libucl by sending specially crafted configuration input with embedded null bytes, causing service disruption without requiring authentication.

Affected Products

  • libucl (Universal Configuration Language library)
  • Applications and services using libucl for configuration parsing
  • Systems processing untrusted UCL input

Discovery Timeline

  • 2026-03-17 - CVE-2026-0708 published to NVD
  • 2026-03-17 - Last updated in NVD database

Technical Details for CVE-2026-0708

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-Bounds Read), a memory safety issue in the libucl library. The flaw occurs when the library processes UCL configuration data containing keys with embedded null bytes (\\x00). When the ucl_object_emit function attempts to parse and emit such malformed objects, it fails to properly handle the null byte within the key string, leading to an out-of-bounds memory read operation.

The vulnerability is exploitable over the network, requiring user interaction (such as loading a malicious configuration file). Successful exploitation does not require any privileges, making it accessible to unauthenticated attackers who can supply malicious UCL input to vulnerable applications.

Root Cause

The root cause lies in improper input validation within libucl's object emission logic. The ucl_object_emit function does not adequately validate or sanitize key strings for embedded null bytes before processing. When a null byte is encountered within a key, the function's string handling logic can misinterpret the key length or boundaries, causing the function to read memory beyond the allocated buffer. This results in a segmentation fault that terminates the application.

Attack Vector

The attack vector is network-based and requires the attacker to deliver a specially crafted UCL configuration file or input stream to an application using the libucl library. Attack scenarios include:

  1. Configuration File Injection: An attacker uploads or provides a malicious UCL configuration file to an application that parses user-supplied configurations.
  2. API Input Manipulation: Applications exposing APIs that accept UCL-formatted data could be targeted by sending crafted payloads containing keys with embedded null bytes.
  3. Man-in-the-Middle: Intercepting and modifying legitimate UCL configuration data in transit to inject the malicious payload.

The vulnerability triggers when the application calls ucl_object_emit on the parsed object containing the malformed key. The resulting segmentation fault causes immediate process termination, achieving denial of service.

The malicious UCL input contains a configuration key with an embedded null byte character that corrupts the string parsing logic in ucl_object_emit, causing an out-of-bounds read and subsequent crash. For detailed technical information, refer to the GitHub Issue #323 for libucl.

Detection Methods for CVE-2026-0708

Indicators of Compromise

  • Application crashes with SIGSEGV signals in processes using libucl
  • Core dumps showing crash location within ucl_object_emit function
  • Log entries indicating configuration parsing failures or segmentation faults
  • Unusual UCL configuration files containing non-printable characters

Detection Strategies

  • Monitor application logs for segmentation fault errors associated with configuration parsing operations
  • Implement input validation to detect and reject UCL input containing null bytes in key names
  • Deploy application crash monitoring to detect repeated DoS attempts
  • Use memory sanitizers (ASan, MSan) in development environments to catch out-of-bounds reads

Monitoring Recommendations

  • Configure process monitoring to alert on unexpected crashes of services using libucl
  • Implement rate limiting on endpoints that accept UCL configuration input
  • Enable detailed logging for configuration parsing operations to capture malformed input attempts
  • Monitor for patterns of repeated service restarts that may indicate active exploitation

How to Mitigate CVE-2026-0708

Immediate Actions Required

  • Audit applications to identify which services use libucl for configuration parsing
  • Restrict untrusted user access to configuration upload or input functionality
  • Implement input validation to sanitize UCL input before processing
  • Consider isolating libucl-dependent services to limit impact of potential crashes

Patch Information

Affected users should monitor the Red Hat CVE-2026-0708 Advisory and the libucl GitHub repository for official patches. Update libucl to the latest patched version when available. Red Hat users can track Bug Report #2427770 for distribution-specific updates.

Workarounds

  • Implement input sanitization to strip or reject null bytes from UCL input before parsing
  • Deploy application-level input validation to check for malformed key names
  • Use process supervision tools like systemd or supervisord to automatically restart crashed services
  • Limit exposure by restricting which users or systems can provide UCL configuration input
bash
# Example: Input sanitization script to remove null bytes from UCL files
# Warning: This is a workaround only - apply official patches when available
sed 's/\\x00//g' input.ucl > sanitized.ucl

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

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