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CVE-2026-72642

8.8 Élevée

Publiée le 13/08/2026 à 22:17 · Modifiée le 01/09/2026 à 16:15 · Analysée par le NVD · Source : security@elastic.co

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.

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Produits concernés

Scores CVSS

VersionScoreSourceVecteur
3.1 8.8 Élevée security@elastic.co CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Faiblesses (CWE)

Références

Ailleurs