Spreading rate of virus on extreme energy of an intuitionistic fuzzy graph is analyzed. We have taken the website http://www.pantechsolutions.net/. This website is modeled as an intuitionistic fuzzy graph G = (V, E, µ, γ) by considering the navigation of the customer. In this intuitionistic fuzzy graph, the links are considered as vertices and the path between the links are considered as edges. The weightage of each edge are considered as number of visitors getting the link from one link to another link (membership value), number of visitors not getting the link i.e. under traffic from one link to another link (non-membership) and drop off case (intuitionistic fuzzy index). For four different time periods, the four links 1. Microcontroller-boards, 2. /Log-in html, 3. / and 4. /Project kits of the given website are taken for our calculation. For the given graph, extreme energy is calculated. These concepts are illustrated with real time example. © 2016, International Journal of Pharmacy and Technology. All rights reserved.