Memory dump analysis with Volatility 3: processes, networks, injections, malware and forensic artifacts.
Why this matters right now
Fileless malware leaves no traces on disk
After the course you will be able to
Not abstract knowledge — concrete skills for DFIR and malware analysis
Real attacks in the course
We analyze real APT incidents — only memory forensics helped uncover them
Stuxnet 2010 — first fileless component
Stuxnet contained a component that worked exclusively in memory. Its detection was only possible through RAM analysis. The first known state-level fileless malware.
Duqu 2.0 — only memory forensics
Kaspersky discovered Duqu 2.0 exclusively through memory analysis — there were no traces on disk. The malware loaded only into RAM via zero-day vulnerabilities.
Mandiant: APT in svchost.exe
Mandiant analysts discovered an APT injection into the svchost.exe process via Volatility malfind. The injection left no traces on disk — only in memory.
Course Program
3 modules · 12 lessons: from memory dumps to detecting fileless malware
Where this course leads
Memory Forensics — a key skill for malware analysts and DFIR specialists
Malware Analyst
Analyze malicious code through memory, find C2 addresses and persistence mechanisms. One of the highest-paid InfoSec specialists.
DFIR Specialist
Investigate incidents, perform forensic memory analysis, reconstruct attack timelines and prepare court evidence.
Threat Hunter
Use memory forensics for proactive APT hunting in corporate systems. Find fileless malware before it causes damage.
Who this course is for
Malware Analysts
Want to analyze fileless malware and APT threats that leave no traces on disk.
DFIR Specialists
Investigate incidents and need a systematic approach to memory analysis for attack reconstruction.
Threat Hunters
Want to add memory forensics to your arsenal for proactive APT hunting in networks.
Find malware
right in RAM
today
12 lessons, Volatility 3 and YARA. Detect fileless malware that leaves no traces on disk.
Memory Forensics with Volatility
Level: advanced

