CVE-2026-19518 in rlottie
Summary
by MITRE • 08/11/2026
Improper Validation of Specified Quantity in Input vulnerability in Samsung Open Source rlottie allows Input Data Manipulation.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 08/11/2026
The vulnerability identified as improper validation of specified quantity in input data within Samsung's open source rlottie library represents a critical security weakness that falls under the category of input sanitization failures. This flaw specifically affects how the library processes numerical parameters and quantity specifications provided by external inputs, creating opportunities for malicious actors to manipulate the system through carefully crafted data sequences. The rlottie library, designed for rendering animated vector graphics in various applications including Samsung's mobile platforms, handles complex animation data structures that require precise numerical validation during processing operations.
The technical implementation of this vulnerability stems from insufficient boundary checking and input validation mechanisms within the library's parser functions responsible for handling quantity specifications in animation parameters. When processing user-provided or external animation data, the system fails to properly validate the range, type, or logical consistency of specified quantities before proceeding with computational operations. This deficiency allows attackers to inject malformed numerical values that could cause unexpected behavior during rendering processes, potentially leading to memory corruption, buffer overflows, or arbitrary code execution scenarios. The flaw operates at the intersection of data validation and processing logic where input parameters are accepted without adequate sanitization checks.
From an operational perspective, this vulnerability presents significant risk to Samsung devices and applications utilizing rlottie for animated content display, including but not limited to mobile interfaces, application launchers, and multimedia applications. Attackers could exploit this weakness by crafting specially designed animation files or data streams that manipulate quantity parameters in ways that trigger system instability or unauthorized code execution. The impact extends beyond simple rendering failures to potentially compromise device security through memory corruption attacks that could be leveraged for privilege escalation or persistent malware installation. This vulnerability is particularly concerning given rlottie's widespread use across Samsung's ecosystem and the potential for remote exploitation through malicious animation content.
Security professionals should implement comprehensive input validation measures including parameter boundary checking, type verification, and range constraints to address this weakness effectively. The mitigation strategy must encompass both runtime input sanitization and static code analysis to identify similar patterns throughout the library's codebase. Organizations utilizing rlottie should consider implementing strict input filtering mechanisms that validate all quantity specifications against predefined acceptable ranges and data types before processing. Additionally, regular security audits and penetration testing focused on input validation areas can help identify potential variants of this vulnerability in related components. This issue aligns with common weakness enumerations such as CWE-129 for insufficient validation of length and CWE-704 for incorrect type conversion, while potentially mapping to ATT&CK techniques involving privilege escalation through memory corruption vulnerabilities. The remediation approach should prioritize defensive programming practices including input normalization, error handling improvements, and comprehensive testing protocols that specifically target quantity parameter validation scenarios.