Heap Corruption Vulnerability in Elasticsearch Affects Machine Learning Models
CVE-2026-72642

8.8HIGH

Key Information:

Vendor

Elastic

Status
Vendor
CVE Published:
13 August 2026

What is CVE-2026-72642?

A vulnerability in Elasticsearch's native inference process allows unauthorized manipulation of memory through improperly validated model offsets. This flaw occurs when a user uploads a crafted machine learning model that computes a memory address, potentially leading to heap corruption. Such corruption can crash the inference process and, with precise control over memory allocation, facilitate arbitrary code execution. This poses significant risks for applications relying on compromised inference models.

Affected Version(s)

Elasticsearch 8.19.0 <= 8.19.19

Elasticsearch 9.4.0 <= 9.4.4

Elasticsearch 9.5.0

References

CVSS V3.1

Score:
8.8
Severity:
HIGH
Confidentiality:
High
Integrity:
High
Availability:
High
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

.