CVE-2025-0634 in rLottie
Summary
by MITRE • 06/30/2025
Use After Free vulnerability in Samsung Open Source rLottie allows Remote Code Inclusion.This issue affects rLottie: V0.2.
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Analysis
by VulDB Data Team • 11/24/2025
The CVE-2025-0634 vulnerability represents a critical use-after-free flaw in Samsung's open source rLottie library version 0.2 that enables remote code execution through improper memory management. This vulnerability occurs when the library fails to properly handle memory deallocation and subsequent access patterns, creating opportunities for attackers to manipulate program execution flow. The rLottie library is designed for rendering lottie animations and is commonly integrated into mobile applications and web environments, making this vulnerability particularly concerning for widespread exploitation. The flaw stems from inadequate memory safety mechanisms that allow freed memory blocks to be accessed or reused by malicious code, potentially leading to arbitrary code execution. This issue directly relates to CWE-416 which defines use-after-free conditions as a fundamental memory safety vulnerability where program memory is accessed after it has been freed, often resulting in unpredictable behavior and security breaches.
The technical implementation of this vulnerability involves the manipulation of animation parsing routines within the rLottie library where objects are freed from memory but references to them persist in the application's execution context. Attackers can craft specially malformed lottie animation files that trigger the use-after-free condition during normal parsing operations, allowing them to overwrite memory contents with malicious payloads. The remote code execution capability emerges when these manipulated animation files are loaded and processed by applications that utilize the vulnerable rLottie library, potentially enabling attackers to execute arbitrary commands on affected systems. This exploitation pathway aligns with ATT&CK technique T1059 which encompasses execution through command and scripting interpreters, where malicious code injection occurs through compromised application libraries. The vulnerability's remote nature means that attackers need only deliver malicious animation content through web services or application downloads to achieve code execution on target devices.
The operational impact of CVE-2025-0634 extends across multiple Samsung ecosystem components that rely on rLottie for animation rendering, including mobile applications, web browsers, and embedded systems that support lottie animation formats. Affected applications may experience crashes, data corruption, or complete system compromise when processing malicious animation content, creating significant security risks for end users and organizations. The vulnerability's presence in the open source rLottie library means that any application or platform incorporating this component is at risk, regardless of the specific implementation details. Organizations using affected software may face potential data breaches, system compromises, or unauthorized access to sensitive information, particularly in environments where users can download or interact with third-party animation content. The widespread adoption of lottie animations in mobile and web applications increases the attack surface significantly.
Mitigation strategies for CVE-2025-0634 require immediate action to update affected rLottie library versions to patched releases that address the memory management flaws. Organizations should implement comprehensive vulnerability scanning to identify all applications utilizing the vulnerable library and prioritize remediation efforts accordingly. Network-based protections such as content filtering and web application firewalls can help prevent delivery of malicious animation files, while application sandboxing provides additional defense-in-depth measures. The patching process should include thorough regression testing to ensure that security updates do not introduce compatibility issues with existing applications. Security teams should also monitor for exploitation attempts through threat intelligence feeds and implement proper access controls to limit the potential impact of successful attacks. Additionally, developers should adopt secure coding practices and conduct regular security reviews of third-party libraries to prevent similar vulnerabilities from emerging in future implementations.