Ready to learn why and how to leverage IDAPython to take hundreds of hours off of the time required to statically analyze the firmware of embedded devices? Tired of only being able to find IDAPython examples for x86 and ARM? Then this talk is for you!This talk first discusses some important differences between the analysis process of applications and firmware images. It then shows how to use IDAPython to address these differences when analyzing firmware images running on a variety of microcontroller architectures. I will then explain and demonstrate a general toolkit of IDAPython scripts I wrote to triage, analyze, and annotate a firmware image’s IDA database for more efficient static analysis. The demonstrated IDAPython toolkit of scripts will be available on the day of the presentation for all to use and build upon.