Detecting web shells in compromised perimeter assets using ML algorithms

Presented at BSides Austin 2017, May 4, 2017, 4 p.m. (60 minutes).

No description available.

Presenters:

• Joseph Zadeh - Senior Data Scientist - Splunk Inc.
  Joseph Zadeh studied mathematics in college and received a BS from University California, Riverside and an MS and PhD from Purdue University. While in college, he worked in a Network Operation Center focused on security and network performance baselines and during that time he spoke at DEFCON and Torcon security conferences. Most recently he joined Caspida as a security data scientist. Previously, Joseph was part of the data science consulting team at Greenplum/Pivotal helping focused on Cyber Security analytics and also part of Kaiser Permanentes first Cyber Security R&D team.
• Rod Soto - Director of Security Research - JASK.AI
  Rod Soto has over 15 years of experience in information technology and security. He is currently the director of security research at JASK.AI. He has spoken at ISSA, ISC2, OWASP, DEFCON, BlackHat, RSA, Hackmiami, BSides and also been featured in Rolling Stone Magazine, Pentest Magazine, Univision and CNN. Rod Soto was the winner of the 2012 BlackHat Las Vegas CTF competition and is the founder and lead developer of the Kommand && KonTroll competitive hacking Tournament series.

Links:

• https://bsidesaustin2017.sched.com/event/AP2J/detecting-web-shells-in-compromised-perimeter-assets-using-ml-algorithms

Similar Presentations:

• BSidesDC 2016 / Detecting Malicious websites using Machine Learning
• VB2017 / Last-minute paper: The shell in the web
• DEF CON 32 (2024) / Incubated Machine Learning Exploits: Backdooring ML Pipelines Using Input-Handling Bugs