CVE-2024-41123
Ruby vulnerability analysis and mitigation

Overview

CVE-2024-41123 affects REXML, an XML toolkit for Ruby. The vulnerability was discovered and disclosed on August 1, 2024, affecting REXML gem versions before 3.3.2. The vulnerability exists in the XML parsing functionality when handling specific characters such as whitespace characters, >] and ]> (Ruby Lang, NVD).

Technical details

The vulnerability is classified as a Denial of Service (DoS) issue, categorized under CWE-400 (Uncontrolled Resource Consumption). It has received a CVSS v3.1 base score of 7.5 (HIGH) with the vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, indicating a network-accessible vulnerability requiring no privileges or user interaction to exploit (NVD).

Impact

When successfully exploited, this vulnerability can lead to Denial of Service (DoS) conditions. The issue occurs when parsing XML documents containing many specific characters, causing the REXML gem to take an unusually long time to process the input, potentially leading to resource exhaustion (NetApp Advisory).

Exploitability

The vulnerability is exploitable remotely without requiring authentication or user interaction. It affects applications that parse untrusted XML documents using the REXML gem. The vulnerability has been publicly discussed, though there are no confirmed reports of exploitation in the wild (GitHub Advisory).

Mitigation and workarounds

The primary mitigation is to upgrade the REXML gem to version 3.3.3 or later, which includes patches to fix these vulnerabilities. If immediate upgrading is not possible, the recommended workaround is to avoid parsing untrusted XML documents (Ruby Lang).

Community reactions

Multiple vendors and organizations have responded to this vulnerability. NetApp has issued an advisory (NTAP-20241227-0005) for their affected products, and various Linux distributions including Ubuntu and Red Hat have incorporated the fixes into their repositories (NetApp Advisory).

Additional resources


SourceThis report was generated using AI

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