Vulnerability · Published Aug 13, 2026 · Assigned by elastic

CVE-2026-72642Use of Out-of-range Pointer Offset in the Elasticsearch Machine Learning Native Inference Process

High 8.8

In plain English

A high-severity security flaw in Elasticsearch from Elastic. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.6% (higher than 49% of all known vulnerabilities).

Severity (CVSS 3.1)8.8High
Exploit odds (30 days)0.6%top 50.9% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official description

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.

Affected products (as reported)

VendorProductVersions
Elastic Elasticsearch 8.19.0 – through 8.19.199.4.0 – through 9.4.49.5.0

Weakness: CWE-823 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References