Hackers are increasingly exploiting the social movement on the Internet, which is responsible for domestication of the web and its associated technologies, by using novel methods of online social engineering. However, there is not enough support in the form of published research that can help us gain a holistic understanding of human vulnerabilities that are central to online social engineering attacks. This paper extends prior published classifications and presents a new typology of online social engineering methods that manifest during the various information seeking contexts that users engage while online. Concepts borrowed from the field of information science hel p us to build this typology that groups attack vectors with different human information seeking modes. The typology can be readily used as educational material to improve end user awareness about online social engineering. In addition, the typology can be used as a conceptual starting point for future empirical research on human vulnerabilities in different information seeking contexts which in turn can informsystems designers to design more effective solutions that can help mitigate the effects of such attacks.