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SUMMARY:SPOT - Spear-Phishing Overwatching Tool - Mathieu Fourcroy\, Pauli
 ne Bourmeau (Cookie)\, William Robinet
DTSTART;TZID=Europe/Luxembourg:20261020T104500
DTEND;TZID=Europe/Luxembourg:20261020T111500
DTSTAMP:20261009T050131Z
UID:pretalx-hack-lu-2026-LYVXLS@pretalx.com
DESCRIPTION:Nowadays\, the detection of generic mass-scale phishing attack
 s is quite effective.  Techniques that leverage indicators of compromise (
 IOCs) collection and sharing tools\, such as MISP (the Open Source Threat 
 Intelligence Sharing Platform)\, are well established and give good result
 s in the field. However\, detection of targeted attack attempts aka spear-
 phishing\, is much more challenging because the attackers exploit contextu
 al information about the targets they aim for.\nBy using up-to-date\, rele
 vant and precise information about the inner operations of the targeted co
 mpany\, attackers can make their deception far more effective.\nSPOT makes
  use of state-of-the-art natural language processing (NLP) techniques base
 d on machine learning (ML) and large language models (LLMs) in particular 
 to try to detect and prevent spear-phishing attack attempts.
LOCATION:Europe
URL:https://pretalx.com/hack-lu-2026/talk/LYVXLS/
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