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MLflow TensorSpec Void Dtype Memory DoS PoC

This repository contains a minimal MLflow model bundle whose MLmodel signature declares a TensorSpec input with dtype V250000000 and shape [-1].

The model itself is a benign echo model. The security issue is in MLflow's model metadata parsing and schema enforcement: the attacker-controlled TensorSpec dtype is accepted from MLmodel, then a one-byte pandas input value is converted into a NumPy array with a 250,000,000-byte element before model code runs.

Run:

python reproduce_mlflow_tensorspec_void_dtype_dos.py mlflow_tensorspec_void_dtype_model

Expected result: The output shows parsed_itemsize of 250000000 and allocated_array_nbytes of 250000000 for a one-byte request value.

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