Threat modeling is a set of methodologies to analyze the potential threats in a digital system, in order to mitigate them. Digital forensics, on the other hand, is used in order to find the true origin of an event with the help of forensic evidence. Digital forensics is based on Locard's Principle and dictates that even digital crime leaves behind some form of remnants. Both the domains, threat modeling and digital forensics, have separately existed, but have to our knowledge not been used together. In this research we establish the importance of forensic evidence and how it can aid threat modeling by providing more comprehensive threat intelligence. We provide practical examples of how the two fields can be combined, based on attack graphs and Bayesian networks.