CVE-2025-53076 is a medium severity vulnerability identified in Samsung Open Source's rLottie library version 0.2. The vulnerability is categorized under CWE-20, which pertains to improper input validation. Specifically, this flaw allows for buffer overread conditions when processing crafted input data. rLottie is a rendering library used to parse and display Lottie animations, which are JSON-based vector animations commonly integrated into various applications and devices for rich UI/UX experiences. The improper input validation means that the library does not adequately verify the bounds or correctness of input data before processing, leading to potential reading beyond allocated buffer limits. This can cause application crashes, data leakage from memory, or undefined behavior. The CVSS 4.0 vector indicates that the vulnerability can be exploited remotely (AV:N) without any privileges (PR:N) and does not require user interaction (UI:A) but does require some user action to trigger. The impact on confidentiality is low (VA:L), with no impact on integrity or availability. No known exploits are currently reported in the wild, and no official patches have been linked yet. Given that rLottie is an open-source component, it is often embedded within Samsung products and potentially other third-party applications that utilize this library for animation rendering.

For European organizations, the impact of this vulnerability depends largely on the extent to which rLottie is integrated into their software stack or devices. Samsung products, including smart TVs, mobile devices, and appliances, are widely used across Europe, and many enterprise or consumer applications may embed rLottie for animation rendering. Exploitation could lead to application crashes or memory disclosure, potentially exposing sensitive information residing in memory buffers. While the confidentiality impact is rated low, any data leakage could be significant if sensitive user or system data is exposed. Additionally, denial of service through crashes could disrupt services or degrade user experience. Organizations relying on Samsung devices or software incorporating rLottie should be aware of this risk, especially in sectors where device reliability and data privacy are critical, such as finance, healthcare, and government. The lack of required privileges and remote exploitability increases the threat surface, although the need for user interaction somewhat limits automated exploitation.

To mitigate this vulnerability, European organizations should first identify all systems and applications that incorporate rLottie version 0.2. This includes Samsung devices and any third-party software embedding this library. Since no official patches are currently available, organizations should monitor Samsung's security advisories and open-source repositories for updates or patches addressing this issue. In the interim, applying strict input validation and sanitization at the application level before passing data to rLottie can reduce the risk of exploitation. Employing runtime protections such as memory safety tools, sandboxing the affected components, or using application-layer firewalls to restrict untrusted input sources can also help. Additionally, organizations should implement robust monitoring to detect abnormal application crashes or memory access anomalies that could indicate exploitation attempts. Finally, educating users about the risks of interacting with untrusted content that could trigger the vulnerability may reduce the chance of successful exploitation.