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SUMMARY:SPOT - Spear-Phishing Overwatching Tool - Pauline Bourmeau (Cookie
 )\, William Robinet\, Thibaut Diels\, Mathieu Fourcroy
DTSTART;TZID=Europe/Luxembourg:20260507T103500
DTEND;TZID=Europe/Luxembourg:20260507T111500
DTSTAMP:20260911T044657Z
UID:pretalx-bsidesluxembourg-2026-A7AXTC@pretalx.com
DESCRIPTION:Nowadays\, the detection of generic mass-scale phishing attack
 s is quite\neffective.  Techniques that leverage indicators of compromise 
 (IOCs) collection\nand sharing tools\, such as MISP (the Open Source Threa
 t Intelligence Sharing\nPlatform)\, are well established and give good res
 ults in the field. However\,\ndetection of targeted attack attempts aka sp
 ear-phishing\, is much more\nchallenging because the attackers exploit con
 textual information about the\ntargets they aim for.\nBy using up-to-date
 \, relevant and precise information about the inner\noperations of the tar
 geted company\, attackers can make their deception far more\neffective.\nS
 POT makes use of state-of-the-art natural language\nprocessing (NLP) techn
 iques based on machine learning (ML) and large language\nmodels (LLMs) in 
 particular to try to detect and prevent spear-phishing\nattack attempts.\n
 This opensource project was co-financed by the LU-CID initiative by the Mi
 nistry\nof Economy Luxembourg.
LOCATION:C1.05.12: Workshops and Stage (lift to level 5 room #12)
URL:https://pretalx.com/bsidesluxembourg-2026/talk/A7AXTC/
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