There has been enormous expansion of world-wide inter-connectedness with quicker technology and communications advancements allowing benefits like telemedicine, home working, and real-time communication. All of these technologies, however, exposed individuals and organizations to a vast array of online attacks. The study illustrates how the static and dynamic malware analysis approaches can be used to effectively detect, analyse, and neutralize malware threats. Static analysis includes analyzing malware code structure, metadata, and signatures without running the code, while dynamic analysis entails running the malware in a controlled environment to monitor its real-time behaviour and system interactions. Through a series of controlled experiments, the effectiveness of each analysis technique is quantified, and the outcome is used to create a resilient and well-labelled malware database. Through the conducted trials, the effectiveness of each technique is illustrated. Based on the results, a secure and appropriately tagged database can be built quickly.