FFmpeg can crash when using TensorFlow-based models

Summary

FFmpeg, a popular media processing tool, has a flaw that can cause it to crash when processing certain types of artificial intelligence models. This is not a security risk, but it can make FFmpeg stop working. To avoid this, upgrade to the latest version of FFmpeg.

What to do

No fix is available yet. Check with your software vendor for updates.

Affected software

Vendor	Product	Affected versions	Fix available
ffmpeg	ffmpeg	> 6.1 , <= 8.1	–

Original title

A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple t...

Original description

A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions.

nvd CVSS3.1 5.5

Vulnerability type

CWE-415

https://access.redhat.com/security/cve/CVE-2025-12343 Third Party Advisory
https://bugzilla.redhat.com/show_bug.cgi?id=2406533 Issue Tracking Third Party Advisory