SB2025122221 - Multiple vulnerabilities in IBM Watson Machine Learning on CP4D



SB2025122221 - Multiple vulnerabilities in IBM Watson Machine Learning on CP4D

Published: December 22, 2025

Security Bulletin ID SB2025122221
Severity
High
Patch available
YES
Number of vulnerabilities 3
Exploitation vector Remote access
Highest impact Code execution

Breakdown by Severity

High 67% Low 33%
  • Low
  • Medium
  • High
  • Critical

Description

This security bulletin contains information about 3 secuirty vulnerabilities.


1) Code Injection (CVE-ID: CVE-2025-1550)

The vulnerability allows a local user to execute arbitrary code on the target system.

The vulnerability exists due to improper input validation in the "Model.load_model" function. A local user can execute arbitrary code on the target system.

Successful exploitation of this vulnerability may result in complete compromise of vulnerable system.


2) Deserialization of Untrusted Data (CVE-ID: CVE-2025-8747)

The vulnerability allows a remote attacker to execute arbitrary code on the target system.

The vulnerability exists due to insecure input validation when processing serialized data even when "safe_mode" is enabled. A remote attacker can trick the victim into loading a specially crafted Keras v3 model and execute arbitrary code on the system.

This vulnerability exists due to an incomplete fix for #VU106013 (CVE-2025-1550).


3) Deserialization of Untrusted Data (CVE-ID: CVE-2025-9906)

The vulnerability allows a remote attacker to execute arbitrary code on the target system.

The vulnerability exists due to insecure input validation when processing serialized data even when "safe_mode" is enabled. A remote attacker can trick the victim into loading a specially crafted Keras v3 model and execute arbitrary code on the system.

This vulnerability exists due to an incomplete fix for #VU106013 (CVE-2025-1550) and #VU120185 (CVE-2025-8747).


Remediation

Install update from vendor's website.