CVE-2026-91826 in rLottie
Summary
by MITRE • 09/15/2026
Stack-based buffer overflow vulnerability in Samsung Opensource rLottie allows attackers to overflow buffers, leading to memory corruption when rendering crafted vector animations.
This issue affects rLottie: 480a2ad0c5d2e45458c545b8213279e9e8b71e39.
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Analysis
by VulDB Data Team • 09/15/2026
The vulnerability identified in Samsung's open-source library, rLottie, represents a critical stack-based buffer overflow that compromises the integrity of memory during the rendering process of vector animations. This flaw is specifically located within the codebase associated with commit hash 480a2ad0c5d2e45458c545b8213279e9e8b71e39, indicating a regression or an unpatched defect in that specific version of the library. The rLottie engine is widely utilized for high-performance animation rendering on mobile and embedded devices, making its security posture paramount for applications relying on it for user interface elements or complex visual effects.
At a technical level, the vulnerability arises from insufficient bounds checking when processing input data related to vector animations. When an attacker provides crafted malicious files containing specific sequences of commands or malformed path data, the library fails to validate the length of incoming buffers against the allocated stack space. This lack of validation allows external data to overwrite adjacent memory locations on the call stack. Such overwrites can corrupt critical control flow information, including return addresses and saved frame pointers, which are essential for normal program execution.
The operational impact of this vulnerability is severe, as it enables arbitrary code execution with the privileges of the compromised application process. By carefully crafting the payload to overwrite specific memory regions, an attacker can redirect the instruction pointer to execute shellcode or other malicious routines injected into the same address space. This capability effectively bypasses standard security mitigations such as stack canaries if they are not properly configured or if the overflow is precise enough to skip them. The exploitability of this flaw means that any application integrating rLottie and processing untrusted animation files, such as Lottie JSON payloads from web sources or user uploads, becomes a potential attack vector for remote code execution attacks.
From an industry standards perspective, this vulnerability aligns with CWE-121, which defines stack-based buffer overflow, characterized by writing data beyond the bounds of a fixed-length stack buffer. Furthermore, in the context of the MITRE ATT&CK framework, this flaw facilitates techniques associated with initial access and execution phases, particularly those involving exploitation of client applications or libraries for code injection. The ability to manipulate memory layout through crafted inputs is also relevant to CWE-787, which covers out-of-bounds write vulnerabilities that lead to undefined behavior and potential privilege escalation within the application context.
Mitigation strategies must focus on immediate updates and defensive coding practices. Users of rLottie should upgrade to a version where this specific commit hash has been patched or superseded by a secure release containing proper input validation mechanisms. Developers integrating the library should implement strict length checks before processing any animation data, ensuring that buffer sizes are validated against available stack space. Additionally, enabling compiler-level protections such as Stack Canaries, Address Space Layout Randomization (ASLR), and Data Execution Prevention (DEP) can provide layers of defense that mitigate the success rate of exploitation attempts even if a vulnerability exists in the underlying library logic.