Adversarial archetypes exploit workings of any system to disrupt robustness and decision-making of the underlying algorithms. This deep dive presents AuthSHAP, a model agnostic and robust implementation of SHAP to uncover the extent to which key features are not appropriated by any model in the decision making. This ‘knowledge’ is significant information to a fraudster to design intelligent or adversarial attacks. The presentation shows that even in black-box settings, it is possible to understand the vulnerability.