CVE-2026-19587 in Rlottie
Summary
by MITRE • 08/12/2026
Uncontrolled Resource Consumption vulnerability in Samsung Open Source rlottie allows Excessive Allocation.
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Analysis
by VulDB Data Team • 08/12/2026
The vulnerability identified as uncontrolled resource consumption in Samsung's open source rlottie library represents a critical security flaw that enables excessive memory allocation through improper resource management. This issue manifests when the rlottie component fails to adequately validate or limit the amount of memory resources allocated during processing operations, creating opportunities for malicious actors to consume system resources beyond normal operational limits.
The technical implementation flaw within rlottie stems from inadequate input validation and resource allocation controls that allow attackers to submit specially crafted data sequences that trigger excessive memory consumption patterns. When the library processes malformed or oversized resource requests, it fails to implement proper bounds checking or memory allocation limits, resulting in unbounded growth of allocated memory segments that can exhaust available system resources.
This vulnerability operates under the broader category of resource exhaustion attacks and aligns with common weakness enumerations such as CWE-400, which specifically addresses unchecked resource allocation. The operational impact extends beyond simple performance degradation to potentially enable denial of service conditions where legitimate system operations become impaired or completely halted due to resource starvation. Attackers can exploit this weakness by submitting carefully constructed input data that causes the rlottie library to allocate excessive memory blocks, leading to system instability and potential application crashes.
The attack surface for this vulnerability encompasses any application or system that integrates the rlottie library for rendering vector graphics or animation content. This includes mobile applications, web browsers, and embedded systems where Samsung's open source components are utilized for graphical processing tasks. The exploitation mechanism typically involves crafting input sequences that trigger memory allocation patterns exceeding normal operational parameters while maintaining low computational overhead to avoid detection.
Mitigation strategies should focus on implementing strict resource limits and input validation controls within the rlottie library implementation. System administrators and developers should enforce memory allocation caps, implement proper bounds checking for all input parameters, and establish monitoring mechanisms to detect unusual resource consumption patterns. Additionally, regular updates and patches should be applied to ensure that known vulnerabilities are addressed through official releases from Samsung's open source repositories.
From a defensive perspective, this vulnerability demonstrates the importance of implementing robust resource management practices in open source components and aligns with ATT&CK technique T1499 which covers resource exhaustion attacks. Organizations utilizing rlottie or similar libraries should conduct thorough security assessments of their integration points and implement network segmentation to limit potential attack vectors. The vulnerability also highlights the necessity of proper code review processes that specifically examine resource management patterns and validate against known attack patterns that target memory allocation behaviors.
The long-term implications of this flaw extend to supply chain security considerations, as open source components often form foundational elements in complex software ecosystems where vulnerabilities can propagate across multiple dependent systems. Security teams should maintain comprehensive inventories of all open source components and monitor for relevant vulnerability disclosures while implementing automated scanning processes to identify potentially impacted systems within their infrastructure.