In today\u27s business landscape, cyberattacks present a significant threat that can lead to severe financial losses and damage to a company\u27s reputation. To mitigate this risk, it is essential for stakeholders to have an understanding of the latest types and patterns of cyberattacks. The primary objective of this research is to provide this knowledge by utilizing the Advisen cyber loss dataset, which comprises over 137,000 cyber incidents that occurred across various industry sectors from 2013 to 2020. By using text mining techniques, this paper will conduct an exploratory data analysis to identify the most common types of malware, including ransomware. Furthermore, the study will include a likelihood and severity analysis to evaluate the financial impact of these cyberattacks on businesses. Ultimately, this study aims to shed light on the prevalence and financial repercussions of malware incidents and provide businesses with valuable insights to help develop effective cybersecurity strategies
