CVE-2026-2492 TensorFlow CVE debrief

Who should care

This vulnerability affects installations of TensorFlow. Local attackers can exploit this vulnerability to escalate privileges and execute arbitrary code. Users of TensorFlow should apply patches or mitigations to prevent exploitation.

Technical summary

The vulnerability exists in the handling of plugins in the TensorFlow HDF5 library. The library loads plugins from an unsecured location, allowing an attacker to execute arbitrary code in the context of a target user. An attacker must first obtain the ability to execute low-privileged code on the target system to exploit this vulnerability. The vulnerability is caused by a weakness in the library's plugin loading mechanism, which can be leveraged by an attacker to gain elevated privileges.

Defensive priority

High priority should be given to patching or mitigating this vulnerability, as it allows for local privilege escalation. Administrators should ensure that only trusted plugins are loaded by the library and that the library is configured to load plugins from a secure location.

Recommended defensive actions

• Apply patches or updates to the TensorFlow HDF5 library to fix the vulnerability.
• Ensure that only trusted plugins are loaded by the library.
• Configure the library to load plugins from a secure location.
• Monitor for suspicious activity that may indicate exploitation of this vulnerability.
• Implement compensating controls, such as restricting access to sensitive areas of the system.

Evidence notes

The CVE record and NVD detail provide information on the vulnerability, including its CVSS score and severity. The source item URL provides additional information on the vulnerability, including references to related advisories and bug reports.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.