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TZID:Europe/Luxembourg
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DTSTART:20251026T030000
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SUMMARY:BSimVis: Scaling Binary Similarity and Clustering with Ghidra - Th
 omas Caillet
DTSTART;TZID=Europe/Luxembourg:20261021T101500
DTEND;TZID=Europe/Luxembourg:20261021T104500
DTSTAMP:20261009T043643Z
UID:pretalx-hack-lu-2026-U3NNWP@pretalx.com
DESCRIPTION:When analyzing malware campaigns\, firmware variants\, or larg
 e binary datasets\, analysts often face a wall of files. Reviewing these b
 inaries one by one is inefficient\, and reverse engineers end up wasting c
 ountless hours analyzing the exact same shared library functions or reused
  code across different files.\n\nEnter **BSimVis**\, an open-source platfo
 rm that uses Ghidra's BSim capabilities to let you analyze entire collecti
 ons of binaries at once. In this 30-minute session\, we will demonstrate h
 ow BSimVis shifts the paradigm from single-file analysis to bulk visualiza
 tion and triage. By indexing BSim feature vectors\, decompiled code\, and 
 metadata into a Kvrocks backend\, BSimVis automatically correlates identic
 al and similar functions across your dataset.
LOCATION:Europe
URL:https://pretalx.com/hack-lu-2026/talk/U3NNWP/
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