REDHAT-BUG-2441510: High severity TensorFlow TensorFlow HDF5 Library vulnerability

Published Feb 20, 2026

Updated

TensorFlow HDF5 Library Uncontrolled Search Path Element Local Privilege Escalation Vulnerability. This vulnerability allows local attackers to escalate privileges on affected installations of TensorFlow. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.

The specific flaw exists within the handling of plugins. The application loads plugins from an unsecured location. An attacker can leverage this vulnerability to escalate privileges and execute arbitrary code in the context of a target user. Was ZDI-CAN-25480.

Affected Software

1 affected component

TensorFlow TensorFlow HDF5 Library

Remediation

Recommended actions to resolve this vulnerability, in priority order.

Compensating control
Ensure TensorFlow plugin(s) are not loaded from an unsecured location by relocating them to a secured, access-controlled directory and restricting write permissions to prevent untrusted users from placing/altering plugin files (local privilege escalation risk per ZDI-CAN-25480).

Event History

Feb 20, 2026

Data Sourced

via Red Hat·11:01 PM

DescriptionSeverityAffected Software

Frequently Asked Questions

What is the severity of REDHAT-BUG-2441510?

The severity of REDHAT-BUG-2441510 is rated as high with a score of 7.

How do I fix REDHAT-BUG-2441510?

To fix REDHAT-BUG-2441510, update the TensorFlow HDF5 Library to a patched version provided by the vendor.

What type of vulnerability is REDHAT-BUG-2441510?

REDHAT-BUG-2441510 is classified as a local privilege escalation vulnerability.

Who is affected by REDHAT-BUG-2441510?

Users with affected installations of TensorFlow running the HDF5 Library are at risk from REDHAT-BUG-2441510.

What must an attacker do to exploit REDHAT-BUG-2441510?

An attacker must first obtain the ability to execute low-privileged code on the target system to exploit REDHAT-BUG-2441510.