CVE-2026-72649
Published:September 01, 2026
Updated:September 02, 2026
Deserialization of Untrusted Data (CWE-502) in the Elasticsearch machine learning component can lead to remote code execution via Object Injection (CAPEC-586). A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface than intended. Exploitation requires an authenticated user with sufficient privileges to create and deploy trained models.
Affected Packages
https://github.com/elastic/ml-cpp.git (GITHUB):
Affected version(s) >=v9.0.0 <v9.4.5Fix Suggestion:
Update to version v9.4.5https://github.com/elastic/ml-cpp.git (GITHUB):
Affected version(s) >=v8.19.0 <v8.19.20Fix Suggestion:
Update to version v8.19.20https://github.com/elastic/ml-cpp.git (GITHUB):
Affected version(s) =v9.5.0 <v9.5.1Fix Suggestion:
Update to version v9.5.1Related Resources (1)
Do you need more information?
Contact UsCVSS v4
Base Score:
8.7
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Deserialization of Untrusted Data