Description

Improper Validation of Specified Quantity in Input and Allocation of Resources Without Limits or Throttling vulnerability in Samsung Open Source rlottie allows Excessive Allocation.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "6.5",
  "pubDate": "2026-08-11T07:17:29.750Z",
  "pubdate": "2026-08-11T07:17:29.750Z",
  "executiveSummary": "An improper validation of specified quantity in input and allocation of resources without limits or throttling vulnerability exists within Samsung Open Source rlottie, potentially leading to excessive resource allocation.\nThe vulnerability allows an unauthenticated remote attacker to trigger a denial of service condition by supplying specially crafted input that causes the application to consume excessive system resources, specifically memory or CPU.\nThe affected product is Samsung Open Source rlottie.\nThe risk implications include application instability, service unavailability, and potential cascading failures across systems relying on the vulnerable library for parsing animations.\nAttacker capabilities involve the ability to supply malicious files or streams to the parsing engine, requiring no special privileges or prior authentication.\nExploitation requirements include the target application processing untrusted input via the vulnerable rlottie parsing routines without adequate resource bounding or input validation.",
  "technicalDetails": "The root cause of the vulnerability stems from inadequate input validation regarding specified quantities within input data, combined with a lack of limits or throttling during resource allocation in Samsung Open Source rlottie.\nThe vulnerable component is the parsing engine of the rlottie library, which processes animation files and dynamically allocates memory based on structural parameters defined within the input payload.\nWithout proper bounds checking on input-specified quantities, a malicious payload can declare excessively large values for structures such as frames, layers, or graphical elements.\nDuring the parsing phase, the application attempts to allocate memory or instantiate objects proportional to these malicious values without verifying resource availability or enforcing predefined safety thresholds.\nThe attack flow begins when an attacker crafts a malicious animation file containing manipulated header data or structural attributes designed to deceive the parsing logic.\nThe victim application ingests this untrusted input via the rlottie library, initiating the parsing and rendering pipeline.\nAs the library processes the malformed structures, it executes unbounded allocation routines, rapidly exhausting available system heap memory or CPU cycles.\nThis payload behavior directly results in an excessive allocation condition, triggering memory exhaustion crashes, out-of-memory terminations, or severe system unresponsiveness.\nNo authentication or elevated privileges are required to exploit this flaw, provided the vulnerable component parses attacker-controlled input directly over network interfaces or via local file processing vectors.\nPost-exploitation impact is primarily focused on denial of service, though unhandled allocation failures could theoretically introduce undefined behavior depending on the host application's error-handling implementation."
}