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Security PoC — mljar-supervised CWE-502 joblib RCE (huntr MFV, responsible disclosure)

Benign proof-of-concept saved AutoML results folder for a responsible-disclosure report to huntr.com. Loading + predicting with this folder executes attacker code via joblib.load of the learner artifact 1_DecisionTree/learner_fold_0.decision_tree (supervised/algorithms/sklearn.py:53).

Reproduce:

import numpy as np; from supervised import AutoML
AutoML(results_path="<this dir>").predict(np.random.rand(5,4))  # -> joblib.load -> os.system -> RCE

Payload is harmless: writes /tmp/MLJAR_RCE_POC.txt only. Gated for protectai-bot review.

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