Organizations are increasingly turning to the immeasurable quantities of data available through open-source mediums such as the web and social media to enhance their analytical capability and ultimately improve the quality and quantity of the information they have available to make decisions. Law enforcement agencies are no exception to this trend, with efforts increasingly being made to use big data to supplement traditional forms of intelligence commonly used in crime prevention and response efforts. In this chapter, one specific facet of this capability is discussed: the use of open source data and analytical tools to detect criminal motivation and intention in open sources to commit cybercrime- and cyberterrorism-related offenses. More specifically, the chapter discusses and profiles the various types of attack and the tools used to facilitate them to gain a comprehensive insight into the underlying motivations of cyberattackers.