CVE-2026-72642: The native inference process that Elasticsearch uses to evaluate uploaded machine learning models ac…
- Occurred
- Aug 13, 2026
- Published
- Aug 13, 2026
- Source
- NVD CVE
Summary
The native inference process that Elasticsearch uses to evaluate uploaded machine learning models accepts a model operation that computes a memory address from an offset supplied inside the model, without validating that the offset stays within the bounds of the underlying storage. A user with the privileges required to upload and deploy a trained model can craft a model that reads and writes memory outside the intended allocation. The result is heap corruption that crashes the inference process, and, with sufficient control over the heap layout, could allow arbitrary code execution in the context of that process.
Tags
- CVE
- CVE-2026-72642
- cvss:HIGH
Classification
Rationale: CVE describes a memory corruption vulnerability in Elasticsearch ML inference allowing arbitrary code execution, which is a security flaw not fitting other specific AI categories.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8