Rasa X before 0.42.4 allows Directory Traversal during archive extraction. In the functionality that allows a user to load a trained model archive, an attacker has arbitrary write capability within specific directories via a crafted archive file.

Maliciously Crafted Model Archive Can Lead To Arbitrary File Write in rasa

Rasa is an open source machine learning framework to automate text-and voice-based conversations. In affected versions a vulnerability exists in the functionality that loads a trained model `tar.gz` file which allows a malicious actor to craft a `model.tar.gz` file which can overwrite or replace bot files in the bot directory. The vulnerability is fixed in Rasa 2.8.10. For users unable to update ensure that users do not upload untrusted model files, and restrict CLI or API endpoint access where a malicious actor could target a deployed Rasa instance.