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PRODID:-//pretalx//pretalx.com//bsides-tallinn-2026//speaker//D39QMT
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TZID:Europe/Helsinki
BEGIN:DAYLIGHT
DTSTART:20250925T000000
TZNAME:EEST
TZOFFSETFROM:+0300
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BEGIN:STANDARD
DTSTART:20251026T040000
RDATE:20261025T040000
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BEGIN:DAYLIGHT
DTSTART:20260329T040000
RDATE:20270328T040000
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BEGIN:VEVENT
SUMMARY:Identifying 100 Cybercriminals In 1 Hour - Ago Ambur
DTSTART;TZID=Europe/Helsinki:20260925T110000
DTEND;TZID=Europe/Helsinki:20260925T114500
DTSTAMP:20260926T112159Z
UID:pretalx-bsides-tallinn-2026-DA8AXB@pretalx.com
DESCRIPTION:Cybercriminals have become highly effective at weaponizing dat
 a stolen from compromised computers. Over the years\, an entire undergroun
 d economy has emerged around infostealers\, fueling the trade of stolen cr
 edentials\, session cookies\, and digital identities.\n \nIn this talk\, w
 e'll demonstrate how the infostealer ecosystem can be turned against the c
 riminals themselves. By combining publicly available infostealer logs with
  a simple yet powerful automation pipeline\, it becomes possible to identi
 fy the very actors who rely on this stolen data to conduct their operation
 s.\n \nWe'll present the methodology and the results of applying it to one
  of the world's most notorious cybercriminal underground forums. The outco
 me is striking: over 100 hacker aliases were automatically linked to their
  underground personas and real-world identities in approximately one hour 
 - an average of one attribution in less than 2 minutes - with virtually no
  manual effort.\n \nThe session will walk through the technical approach\,
  discuss its limitations and explore what large-scale automated attributio
 n means for threat intelligence\, cybercrime investigations\, and defender
 s seeking to understand the adversaries they face.
LOCATION:Stage A
URL:https://pretalx.com/bsides-tallinn-2026/talk/DA8AXB/
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