Overview
The cybersecurity world has once again been rattled by a new vulnerability, CVE-2025-10725, that poses a serious threat to the confidentiality, integrity, and availability of Red Hat Openshift AI Service. This vulnerability has the potential to affect organizations that have deployed this service, and could lead to a full cluster compromise if exploited. The severity and implications of this vulnerability underscore the need for immediate action by affected parties.
This flaw was found in the Red Hat Openshift AI Service and could allow a low-privileged attacker-such as a data scientist using a standard Jupyter notebook-to escalate their privileges to that of a full cluster administrator. The implications of such exploitation are far-reaching, threatening the entire platform and all applications hosted on it.
Vulnerability Summary
CVE ID: CVE-2025-10725
Severity: Critical (9.9 CVSS Score)
Attack Vector: Local
Privileges Required: Low
User Interaction: Required
Impact: Complete compromise of system’s confidentiality, integrity, and availability
Affected Products
Escape the Surveillance Era
Most apps won’t tell you the truth.
They’re part of the problem.
Phone numbers. Emails. Profiles. Logs.
It’s all fuel for surveillance.
Ameeba Chat gives you a way out.
- • No phone number
- • No email
- • No personal info
- • Anonymous aliases
- • End-to-end encrypted
Chat without a trace.
Product | Affected Versions
Red Hat Openshift AI Service | All previous versions
How the Exploit Works
The exploitation of this vulnerability hinges on the fact that a low-privileged user, such as a data scientist, can gain escalated privileges. This is possible due to a flaw in the privilege management system of the Red Hat Openshift AI Service. When successfully exploited, an attacker can gain full administrative access to the service, granting them full control over the underlying infrastructure and the applications hosted on it.
Conceptual Example Code
Given below is a conceptual example of how the vulnerability might be exploited, assuming the attacker has authenticated access to a Jupyter notebook:
# Import required libraries
import os
# Define malicious command to escalate privileges
malicious_command = "echo 'os.system(\"oc adm policy add-cluster-role-to-user cluster-admin <username>\")' >> ~/.jupyter/custom/custom.js"
# Execute malicious command
os.system(malicious_command)
# Next time Jupyter notebook starts, the malicious JavaScript code will be executed,
# granting the attacker cluster-admin privilegesPlease note that this is a conceptual example and the actual exploitation could vary based on the specific configurations and defenses of the target system.
Prevention and Mitigation
The most effective way to mitigate this vulnerability is to apply the patch provided by the vendor. If it’s not immediately possible to apply the patch, a temporary mitigation can be achieved by using a Web Application Firewall (WAF) or an Intrusion Detection System (IDS). Regular auditing of account privileges and maintaining a principle of least privilege can also help prevent the successful exploitation of such vulnerabilities.
