CVE-2025-46726 in Langroid
Summary
by MITRE • 05/05/2025
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.53.4, a LLM application leveraging `XMLToolMessage` class may be exposed to untrusted XML input that could result in DoS and/or exposing local files with sensitive information. Version 0.53.4 fixes the issue.
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Analysis
by VulDB Data Team • 08/02/2025
The vulnerability identified as CVE-2025-46726 affects the Langroid framework, a tool designed for developing large language model-powered applications. This issue specifically targets the XMLToolMessage class implementation within the framework, creating a potential security risk for applications that process untrusted XML data. The vulnerability exists in versions prior to 0.53.4, indicating that developers using older iterations of the framework may be exposed to significant security concerns. The Langroid framework's purpose is to facilitate the creation of sophisticated AI applications, making any security flaws particularly concerning for developers building enterprise-level solutions that rely on XML data processing capabilities.
The technical flaw stems from insufficient input validation and sanitization within the XMLToolMessage class, which allows untrusted XML input to be processed without adequate security measures. When applications utilize this class to handle XML data, the framework fails to properly validate or sanitize the input, creating opportunities for malicious actors to craft specially formatted XML content that can trigger denial of service conditions or extract sensitive local file information. This vulnerability operates at the intersection of XML parsing security and application availability, potentially allowing attackers to disrupt service operations while simultaneously gaining access to local file systems that may contain confidential data. The lack of proper XML processing controls creates a pathway for both availability and confidentiality breaches within applications that depend on this framework component.
The operational impact of this vulnerability extends beyond simple service disruption, as it creates potential for data exfiltration and system compromise. Applications leveraging the XMLToolMessage class could experience denial of service conditions that prevent legitimate users from accessing services, while simultaneously exposing sensitive local files that may contain credentials, configuration details, or other confidential information. This dual nature of the vulnerability makes it particularly dangerous in enterprise environments where Langroid frameworks are used to build mission-critical applications. The vulnerability affects the overall security posture of systems that depend on Langroid, potentially leading to broader compromise if attackers can leverage the information disclosure aspect to gain additional access to network resources or other systems.
The remediation for CVE-2025-46726 involves upgrading to Langroid version 0.53.4 or later, which implements proper input validation and sanitization measures for XML processing. This fix addresses the core issue by ensuring that XMLToolMessage class properly validates incoming XML data and prevents the processing of potentially malicious content. Organizations should prioritize this upgrade as part of their security maintenance procedures, particularly for applications that process untrusted XML data or operate in environments where such data may be encountered. The fix aligns with security best practices for XML processing and input validation, addressing the underlying CWE categories related to improper input validation and insecure data handling. Security teams should also consider implementing additional monitoring for XML processing activities within their Langroid-based applications to detect any potential exploitation attempts before they can cause significant damage.
This vulnerability demonstrates the importance of proper XML security controls in modern application frameworks, particularly when dealing with untrusted input sources. The issue highlights how seemingly simple components like XML parsing can become security gateways when proper validation measures are not implemented. The ATT&CK framework would categorize this vulnerability under techniques related to input validation and data sanitization, while the CWE classification would likely fall under categories such as CWE-20 for improper input validation or CWE-94 for code injection. Organizations should treat this as a reminder of the critical need for comprehensive security testing, particularly in frameworks that handle data processing from external sources, and should implement regular security assessments to identify similar vulnerabilities in their application stacks.