When analyzing malware campaigns, firmware variants, or large binary datasets, analysts often face a wall of files. Reviewing these binaries one by one is inefficient, and reverse engineers end up wasting countless hours analyzing the exact same shared library functions or reused code across different files.
Enter BSimVis, an open-source platform that uses Ghidra's BSim capabilities to let you analyze entire collections of binaries at once. In this 30-minute session, we will demonstrate how BSimVis shifts the paradigm from single-file analysis to bulk visualization and triage. By indexing BSim feature vectors, decompiled code, and metadata into a Kvrocks backend, BSimVis automatically correlates identical and similar functions across your dataset.