The Pickle Problem: Loading an AI Model Can Run an Attacker’s Code

How pickle files can hide malicious code in ML models, and how to protect your systems.

You download a pre-trained model, load it, and start running inference. Everything works. What you may not know is that the loading step itself could have executed code written by someone else.

That’s the pickle problem, and it affects a large part of the Python ML ecosystem.

If you only remember one thing from this post: don’t load pickle-based model fil…