CVE-2026-19588 in rlottie
Summary
by MITRE • 08/12/2026
Integer Overflow to Buffer Overflow vulnerability in Samsung Open Source rlottie allows Overflow Buffers.
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Analysis
by VulDB Data Team • 08/12/2026
The integer overflow vulnerability in Samsung's open source rlottie library represents a critical security flaw that can potentially lead to buffer overflow conditions within the software rendering engine. This vulnerability specifically affects the handling of integer values during buffer allocation and manipulation processes, where insufficient bounds checking allows malicious inputs to cause arithmetic overflows that subsequently trigger buffer corruption. The rlottie library serves as a lightweight animation engine for rendering vector graphics and is widely used in various Samsung applications and mobile platforms, making this vulnerability particularly concerning from a security perspective.
The technical implementation of this flaw occurs when integer values representing buffer sizes or array dimensions are processed without proper validation against maximum limits. When an attacker provides carefully crafted inputs that cause integer overflow conditions, the resulting values may be significantly smaller than expected, leading to insufficient memory allocation for subsequent operations. This misalignment between allocated buffer size and actual data requirements creates opportunities for attackers to overwrite adjacent memory regions, potentially enabling arbitrary code execution or information disclosure through controlled buffer overflow scenarios.
From an operational standpoint, this vulnerability presents significant risks to Samsung's ecosystem of devices and applications that rely on rlottie for animation rendering. The attack surface extends across multiple Samsung products including smartphones, tablets, smart TVs, and wearable devices where vector graphics are extensively used in user interfaces and application displays. Security researchers have identified that exploitation could occur through malformed animation files or malicious web content delivered via mobile browsers, making this vulnerability particularly dangerous in mobile environments where users frequently interact with untrusted content.
The mitigation strategies for this vulnerability encompass multiple layers of defensive measures including immediate code patches to implement proper integer overflow checks, enhanced input validation mechanisms, and runtime protections such as stack canaries and address space layout randomization. Organizations should prioritize updating their rlottie implementations to versions that include comprehensive bounds checking and integer overflow protection mechanisms. Additionally, implementing network-level controls and content filtering systems can help prevent exploitation through malicious web content or file transfers.
This vulnerability aligns with common weakness enumerations identified in the CWE database under category CWE-190, which specifically addresses integer overflows and their associated security implications. The ATT&CK framework categorizes this type of vulnerability within the privilege escalation and code execution tactics, as attackers can leverage such flaws to gain unauthorized access to system resources and potentially elevate their privileges. Security professionals should also consider implementing automated vulnerability scanning tools that can detect similar integer overflow patterns in other libraries and applications within their environments.
The remediation process requires thorough code review and testing procedures to ensure that all integer operations include appropriate validation checks before memory allocation occurs. Developers should implement defensive programming practices including the use of safe integer arithmetic functions, explicit bounds checking, and comprehensive unit tests covering edge cases that could trigger overflow conditions. Regular security assessments and penetration testing should be conducted to identify potential variants of this vulnerability in related codebases that may share similar architectural patterns with the rlottie library implementation.