In today's world, as the globe moves towards the Metaverse, all commercial and business transactions are digitalised, and digital transformation is the new need of the hour owing to COVID and other environmental and health problems. On the one hand, digitalisation is transforming the world; on the other, with an expanding attack surface and a variety of attacker modus operandi, it is critical and long overdue to develop a threat classification model that can provide clear insight into adversaries through their appropriate classification and threat scoring. The research aims to emulate “Threat Scoring based on the Hybrid Attack Model”, which consists of Red Teaming, Attack vectors and Threat Hunting models. The model will be simulated to understand the threat landscape for potential trigger points in the network and operation by initiating a wide range of attacks at various levels with respect to security posture. Hypothesis of results based on attack vectors will be mapped with Threat Intel received from various open Threat Scoring models based on analysis of adversities. The threat modelling process will be based on the MITRE & ATTACK Framework, with discovered threats further classified according to MITRE Tactics, Techniques and Procedures.