Sebastián García

Bio

Sebastián García is a malware researcher and security educator specializing in applied machine learning on network traffic. He founded the Stratosphere Laboratory to advance impactful, free-software-driven security research that helps protect users and their digital rights. As an Assistant Professor and researcher, he works on machine learning for security, honeypots, malware traffic detection, social network abuse detection, distributed scanning (dnmap), keystroke dynamics, fake news analysis, Bluetooth and SDR-based detection, privacy protection, and intrusion detection. He has taught at multiple universities, worked in penetration testing for industry and government, and spoken at conferences including Black Hat, DEF CON Villages, Ekoparty, DeepSec, Hacktivity, Botconf, Hack.lu, InBot, Security Sessions, ECAI, Citizen Lab, ArgenCon, FSFE, Virus Bulletin, BSides Vienna, HITB Singapore, CACIC, and AAMAS. He co-founded MatesLab hackerspace in Argentina and the Independent Fund for Women in Tech.

This intensive two-day training teaches you how to understand, detect, and investigate modern malware attacks through hands-on network traffic analysis. Instead of relying on tools or dashboards, you will learn to recognize malicious behavior by developing analytical skills, technical intuition, and a solid methodology drawn from real incidents.

Across nine modules, you will analyze real-world captures, build timelines, and learn to separate normal from malicious activity. You will investigate ransomware behavior, botnet communications, DGAs, encrypted traffic, and custom protocols. You will also generate and analyze network logs and use machine learning.

The training combines short theory blocks with guided labs, peer discussions, and exercises distilled from decades of experience in traffic analysis. By the end, you will have the confidence and methodology required to analyse traffic and make informed decisions during real incidents.

Presented at Black Hat USA 2026

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