BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//orangecon-2026//talk//HLHUPG
BEGIN:VEVENT
UID:pretalx-orangecon-2026-HLHUPG@pretalx.com
DTSTART:20260604T104000Z
DTEND:20260604T111000Z
DESCRIPTION:Tools like Cobalt Strike\, Brute Ratel\, and Mythic have become
  ubiquitous\, forming the backbone of attacks launched by both nation-stat
 es and cybercriminals. These "malleable C2" platforms allow attackers to p
 recisely configure network traffic—adjusting beaconing intervals\, addin
 g random jitter\, and constructing URL and user agent strings that convinc
 ingly mimic legitimate web services. Not only is it hard to write effectiv
 e signatures for blocking such configs\, the ease at which new configs can
  be created makes IPS-based defenses futile. \n\nThis presentation address
 es the widespread failure of legacy defenses against malleable C2. We intr
 oduce a novel\, high-fidelity detection system designed to identify mallea
 ble C2 traffic that has successfully evaded traditional layers. Our method
 ology moves beyond signatures by combining an expert anomaly detection eng
 ine with a machine learning classifier\, analyzing decrypted web (HTTP/s) 
 transaction logs from a forward proxy. The system profiles network entitie
 s using advanced signals\, including SSL/TLS fingerprints (like JA3)\, fin
 e-grained analysis of network beaconing patterns over time\, and heuristic
  flagging of unusual user agents and highly targeted domain contacts. Thes
 e signals are fed into a robust machine learning model tuned to identify t
 he subtle but persistent characteristics of C2 communications directed at 
 non-cloud infrastructure.\n\nTested rigorously against a diverse set of Co
 balt Strike profiles collected from the wild and created using a genetic a
 lgorithm\, our approach achieved a detection rate in excess of 97%. Crucia
 lly\, it maintained an exceptionally low false positive rate—less than 0
 .0001 alerts per user per week in real-world production environments. It h
 as since been deployed in production environments\, from which we share re
 cent case studies of real-world implants that we have detected. Attendees 
 will gain an in-depth understanding of why reliance on IPS-only strategies
  is a critical vulnerability and how to implement a powerful\, non-signatu
 re-based detection strategy. This approach effectively counters the evasio
 n tactics of Cobalt Strike\, Brute Ratel\, Mythic\, and custom C2\, signif
 icantly improving an organization's defense posture against one of today
 ’s most elusive threats.
DTSTAMP:20260525T202316Z
LOCATION:Track 1
SUMMARY:Bypassing the Evasion Barrier: Detecting Malleable C2 When Traditio
 nal Defenses Fail - Raymond Canzanese
URL:https://pretalx.com/orangecon-2026/talk/HLHUPG/
END:VEVENT
END:VCALENDAR
