| Date | Day | Time | Duration |
| 11 May | Wednesday | 09:00 to 17:00 SGT/GMT +8 | 8 Hours |
| 12 May | Thursday | 09:00 to 17:00 SGT/GMT +8 | 8 Hours |
| 13 May | Friday | 09:00 to 17:00 SGT/GMT +8 | 8 Hours |
Attackers constantly find new ways to attack and infect Linux boxes using more and more sophisticated techniques and tools. As defenders we need to stay up to date with adversaries, understand their TTPs and be able to respond quickly. The combination of low-level network and endpoint visibility is crucial to achieve that goal. For DFIR needs we could go even further with proactive forensics inspections. This training will guide you through different attack-detection-inspection-response use-cases and teach critical aspects of how to handle Linux incidents properly.
● Introduction to PurpleLabs Hunting and Detection tools including Velociraptor, Wazuh, HELK+Sigma, Splunk, Elastiflow, Moloch/Arkime, Kolide Fleet, Graylog, theHive, Sandfly and more ● Linux profile baselining ● How to run DFIR tasks at scale across many Linux endpoints ● Recent Linux APT analysis ● RE&CT Enterprise Matrix ● The importance of timeline analysis and NTP synchronization ● Triage / collecting artifacts ● Privileged user and group enumeration ● Identification of logged accounts ● Searching for files at scale ● Establishing a baseline for different OS components (cron, at, rc.local, ACLs, hosts, resolv.conf, SELinux, filesystem hashing, packages and checksums) ● Process call chains / pstree / process arguments ● Collecting and analyzing important process data (/proc) ● Finding hidden processes, network connections and kernel modules ● Detecting capabilities in ELF, shellcode files ● Detecting loaded shared libraries per process ● Dropping web shells vs File Integrity Monitoring ● Hunting for packers, extracting binary versions and exports ● Searching for exploitation attempts in logs ● Hunting for Linux rootkits (user space / kernel space) ● Hunting for artifacts of process injection techniques ● Sysmon Events + Linux Sigma detection rules ● Runtime Security Analysis (Falco, Tracee) for host and docker containers ● Syscall filtering ● Open source ways for memory acquisition and memory forensics ● Creating Volatility profiles ● Filesystem and Linux process memory yara scans ● Linux Endpoint data correlation and hunting for suspicious network events ● Network visibility with / without signature rules ● Searching for different persistence methods in use ● Data correlation and hunting for suspicious network events + RITA ● Direct interaction with endpoint: command execution on demand, system modification and active quarantine examples ● Hunts enrichment ● Using theHive for incident management
Leszek Miś is a highly experienced Security Researcher with over 20 years of experience in the industry. He is the Founder of Defensive Security (https://www.defensive-security.com/), a company that provides Open Source Security Services including Red Team adversary emulations, Blue Team detection coverage testing, DFIR/Live Forensics, and high-quality knowledge transfer and training.
He has worked in various positions within the infosec field, including as a Linux Administrator, System Developer, DevOps Engineer, Penetration Tester, Security Consultant and VP Of Cyber Security as well.
He has extensive knowledge of Linux internals and got deep experience in Linux malware hands-on analysis from the perspective of red and blue team. Leszek is a recognized speaker and trainer, having spoken at various industry events such as Black Hat USA, Hack In The Box, and OWASP Appsec US.
Leszek holds many certifications, including OSCP, RHCA, RHCSS, and Splunk Certified Architect. His areas of interest include development of multi-stage attack paths with mappings to MITRE ATT&CK Framework, multi-layer defensive paths with mappings to MITRE D3FEND Framework, Linux/network ML feature extraction, Linux OS internals including eBPF, detection engineering, log behavior analysis, memory forensics, andexploration of new Linux offensive ttps vs DFIR/detection/protection techniques.
