CVE-2026-19587 Overview
CVE-2026-19587 is an uncontrolled resource consumption vulnerability in Samsung's open source rlottie library. The library renders Lottie animations sourced from JSON files and is widely embedded in mobile, desktop, and IoT applications. The flaw allows excessive memory allocation when processing crafted animation input, which can exhaust available resources on the host process. Exploitation requires a user to open or load a malicious animation, and the attack is delivered over the network. Successful exploitation results in application-level denial of service without impacting confidentiality or integrity. The issue is tracked under CWE-400: Uncontrolled Resource Consumption.
Critical Impact
A crafted Lottie animation can force rlottie to allocate excessive memory, crashing or freezing applications that render untrusted animation content.
Affected Products
- Samsung rlottie open source animation library
- Downstream applications that embed rlottie for Lottie animation rendering
- Mobile, desktop, and embedded platforms shipping vulnerable rlottie builds
Discovery Timeline
- 2026-08-12 - CVE-2026-19587 published to NVD
- 2026-08-12 - Last updated in NVD database
Technical Details for CVE-2026-19587
Vulnerability Analysis
The vulnerability resides in rlottie's parsing and rendering pipeline for Lottie JSON animation content. Attacker-controlled fields in the animation descriptor influence allocation sizes without adequate bounds checking. A crafted file can request buffers or object counts that exceed practical limits, forcing the process to attempt very large allocations. The resulting memory pressure causes the application to become unresponsive, terminate, or trigger operating system out-of-memory handling. Because the impact is limited to availability, the flaw does not disclose data or permit code execution, but it can disrupt any workflow that relies on rendering third-party animations.
Root Cause
The root cause is missing or insufficient validation of size and count fields extracted from Lottie JSON before those values drive memory allocation. The library trusts input-derived dimensions, layer counts, or keyframe arrays and passes them into allocation routines. Without upper bounds or sanity checks, malformed input translates directly into excessive allocation requests classified under CWE-400.
Attack Vector
An attacker crafts a malicious Lottie animation and delivers it through any channel that feeds rlottie. Common delivery paths include messaging attachments, web pages, advertising creatives, and application content updates. A victim must open or preview the animation for the vulnerable code path to execute. Once parsed, the library attempts the oversized allocation and the host application enters a denial-of-service condition. See the upstream fix in the GitHub Pull Request for rlottie for technical details.
Detection Methods for CVE-2026-19587
Indicators of Compromise
- Application crashes or hangs immediately after loading a Lottie or JSON animation asset
- Sudden spikes in resident memory usage in processes linked against rlottie
- Operating system out-of-memory kills targeting applications that render animation content
- Repeated delivery of unusually large or structurally anomalous Lottie JSON files from untrusted origins
Detection Strategies
- Inspect Lottie JSON payloads for oversized numeric fields in w, h, layers, and keyframe arrays before rendering
- Monitor process telemetry for allocation failures and abnormal virtual memory growth in applications that embed rlottie
- Correlate application crash telemetry with recent loads of externally sourced animation files
Monitoring Recommendations
- Enable per-process memory ceilings and alert when applications rendering untrusted content approach those limits
- Log the source, size, and hash of animation assets fetched from remote endpoints for post-incident analysis
- Track version inventory of rlottie across mobile and desktop fleets to identify unpatched builds
How to Mitigate CVE-2026-19587
Immediate Actions Required
- Update embedded rlottie builds to a version that incorporates the fix from pull request #599
- Restrict rendering of Lottie animations from untrusted or unauthenticated sources
- Enforce maximum file size and structural validation on animation content before it reaches the parser
Patch Information
The upstream fix is tracked in the GitHub Pull Request for rlottie. Application maintainers should rebuild against a patched rlottie version and redistribute updated binaries to end users. Package maintainers should mirror the fix into distribution channels for downstream consumers.
Workarounds
- Sandbox animation rendering in a separate process with strict memory limits to contain denial-of-service impact
- Reject Lottie JSON files that exceed a defined byte length or contain implausible dimension and layer counts
- Disable automatic preview of animation attachments in messaging and email clients until patched builds are deployed
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
