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MLflow TensorFlow custom_objects.cloudpickle RCE

This repository contains a proof-of-concept MLflow TensorFlow/Keras model artifact.

mlflow.tensorflow.load_model() loads custom_objects.cloudpickle from the model directory when present. The PoC verifies that deserializing that file executes attacker-controlled Python code during model loading.

Run:

python build_and_verify.py

Expected result:

marker_created=true
model_loaded_successfully=true
mlflow_tensorflow_custom_objects_marker.txt is created during mlflow.tensorflow.load_model()

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