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Vulnerability Database/CVE-2023-37369

CVE-2023-37369: Qt QXmlStreamReader XXE Vulnerability

CVE-2023-37369 is an XXE vulnerability in Qt QXmlStreamReader that causes application crashes through crafted XML strings. This article covers the technical details, affected Qt versions, impact, and mitigation.

Published:

CVE-2023-37369 Overview

CVE-2023-37369 is a Denial of Service vulnerability affecting the Qt framework's QXmlStreamReader component. The vulnerability allows attackers to crash applications by supplying a crafted XML string that triggers an application crash when a prefix is greater than a length during XML parsing operations. This vulnerability affects multiple Qt versions across the 5.x and 6.x release branches.

Critical Impact

Applications using Qt's XML parsing functionality can be crashed remotely through specially crafted XML input, potentially disrupting critical services and applications built on the Qt framework.

Affected Products

  • Qt versions before 5.15.15
  • Qt 6.x versions before 6.2.9
  • Qt 6.3.x through 6.5.x versions before 6.5.2
  • Debian Linux 10.0

Discovery Timeline

  • 2023-08-20 - CVE-2023-37369 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-37369

Vulnerability Analysis

This vulnerability resides in Qt's QXmlStreamReader class, which is responsible for parsing XML documents in Qt-based applications. The flaw occurs during the processing of XML namespace prefixes, where improper validation leads to a condition where a prefix value exceeds an expected length boundary. When this boundary condition is triggered, the XML parser fails to handle the edge case properly, resulting in an application crash.

The vulnerability is particularly concerning because QXmlStreamReader is commonly used in Qt applications for processing configuration files, network communications, data interchange formats, and user-supplied content. Any application that parses untrusted XML input using the vulnerable Qt versions is potentially at risk.

Root Cause

The root cause of this vulnerability is an insufficient bounds checking mechanism in the QXmlStreamReader implementation. When processing XML namespace prefixes, the parser fails to properly validate that the prefix length does not exceed the expected bounds. This results in a condition where the prefix value becomes greater than the length parameter, leading to undefined behavior and an application crash.

The fix, as documented in the Qt Code Review 455027, addresses this boundary validation issue in the Qt base library.

Attack Vector

The attack vector for CVE-2023-37369 is network-based, requiring no authentication or user interaction. An attacker can exploit this vulnerability by:

  1. Identifying an application that uses Qt's QXmlStreamReader to parse XML content
  2. Crafting a malicious XML string with a specially constructed namespace prefix designed to trigger the boundary condition
  3. Delivering the malicious XML payload to the target application through any input vector that accepts XML data

The vulnerability is exploited through malformed XML input where namespace prefix handling triggers the crash condition. Applications that parse XML from untrusted sources such as web services, file uploads, or network protocols are particularly vulnerable. The crafted XML must contain namespace declarations designed to create the specific condition where the prefix exceeds the expected length bounds in the parser's internal handling logic.

Detection Methods for CVE-2023-37369

Indicators of Compromise

  • Unexpected application crashes in Qt-based applications, particularly during XML processing operations
  • Core dumps or crash logs showing termination in QXmlStreamReader or related XML parsing functions
  • Increased frequency of application restarts or service interruptions correlating with XML input processing

Detection Strategies

  • Monitor application logs for crash events related to XML parsing or QXmlStreamReader components
  • Implement XML input validation at network boundaries to detect malformed namespace declarations
  • Deploy application-level monitoring to track abnormal termination patterns in Qt-based services
  • Use fuzzing tools to test XML parsing endpoints for potential crash conditions

Monitoring Recommendations

  • Configure crash reporting and analysis tools to capture and alert on QXmlStreamReader-related crashes
  • Implement network intrusion detection rules to identify potentially malicious XML payloads targeting this vulnerability
  • Monitor system resource utilization for signs of repeated crash-restart cycles indicative of exploitation attempts
  • Enable detailed logging for XML processing functions to capture input data that triggers crashes

How to Mitigate CVE-2023-37369

Immediate Actions Required

  • Upgrade Qt to version 5.15.15 or later for the 5.x branch
  • Upgrade Qt to version 6.2.9 or later for the 6.2.x branch
  • Upgrade Qt to version 6.5.2 or later for the 6.3.x through 6.5.x branches
  • Rebuild applications that statically link Qt libraries after upgrading the Qt installation

Patch Information

The vulnerability has been addressed by the Qt Project. The fix is available through the Qt Code Review 455027. Organizations should update to the patched versions:

  • Qt 5.15.15 or later
  • Qt 6.2.9 or later
  • Qt 6.5.2 or later

Linux distributions have also released updates:

Workarounds

  • Implement XML input validation and sanitization before passing data to QXmlStreamReader
  • Consider using alternative XML parsing libraries that are not affected by this vulnerability for processing untrusted input
  • Deploy web application firewalls or input filters to block malformed XML payloads at network boundaries
  • Isolate applications processing untrusted XML content to limit the impact of potential crashes
bash
# Check installed Qt version
qmake --version

# Update Qt on Debian/Ubuntu systems
sudo apt update && sudo apt upgrade libqt5core5a libqt5xml5

# Update Qt on Fedora systems  
sudo dnf update qt5-qtbase qt6-qtbase

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

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