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7.0

TensorFlow's HDF5 Library Lets Local Attackers Take Over the Computer

CVE-2026-2492
Summary

A vulnerability in TensorFlow's HDF5 library allows attackers who already have some access to the computer to gain even more access and run unauthorized code. This is a risk because it could allow malicious code to be executed on the system. To protect yourself, ensure you are running the latest version of TensorFlow and its dependencies.

Original title
TensorFlow HDF5 Library Uncontrolled Search Path Element Local Privilege Escalation Vulnerability. This vulnerability allows local attackers to escalate privileges on affected installations of Tens...
Original description
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.
nvd CVSS3.0 7.0
Vulnerability type
CWE-427 Uncontrolled Search Path Element
Published: 20 Feb 2026 · Updated: 12 Mar 2026 · First seen: 6 Mar 2026