The complexity of the digital landscape is on the rise. Thus, the urgent issue of personal data protection has become a major concern for individuals and businesses in the modern era. This article uses text mining techniques to examine data concentration and understand current prevalent threats. The data was collected from the “Have I Been Pwned” (HIBP) website, a globally recognized platform for tracking data breaches and compromised accounts. The data was then cleaned, tokenized, and input into a sentiment analysis tool in the Natural Language Toolkit (NLTK). Research findings highlight cybersecurity as a prominent concern, albeit one with a declining trend. Further scrutiny employing text mining methods reveals the existence of multiple issues. Concerns such as password intricacy and susceptibility to spam emails underscore users’ inadequate comprehension of security matters. Besides the objective reasons for purposeful cyberattacks, the consequences warn of risks related to carelessness and limited awareness of cybersecurity issues by users and data owners.