CVE-2026-72642 | BDVDB-2026-358994 Detail

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.

Impact#

Weaknesses#

References#

Exploit#

History#

1. Version 12026-08-13Record published in the CVE List.
2. Version 22026-08-14Most recent update recorded in the CVE List.