This packet analysis course focuses on capturing, filtering, and analyzing network traffic to identify security vulnerabilities, track down network intrusions, troubleshoot network issues, and perform network forensics.
What you’ll learn:
Using tools like Wireshark for network analysis
Extracting data from a network capture file
Identifying common threats, such as DDoS attacks and data exfiltration
Methods for collecting and analyzing network data
Network administrators
System administrators
Incident analysts
Incident responders
Anyone interested in learning about network traffic analysis
Prerequisites
Before taking this course, students should have:
Knowledge of IPv4 networking protocols is required
Skills and experience with Wireshark display filtering is required
Knowledge of RSA Netwitness is recommended
Attending students should have a thorough understanding of Microsoft Windows
Python scripting abilities would be beneficial
CompTIA’s Network+ and Security+ certifications would be beneficial but not required
*Course Cost listed does not include the cost of courseware or exam. Course is subject to a minimum enrollment to run. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. If the course is under the minimum enrollment the course may run as 4 day class (Bootcamp Style). For more information, please contact learn@vtec.org or call 207-775-0244.
Using the tools, skills, and methodologies taught in days one through four of the class you will uncover a multi-part network intrusion.
In the intrusion capture files there will be at least three application Layer attacks, two advanced communications methods, and a hacker toolkit to discover
You will have to prepare a report detailing the attack from start to finish as well as document what things the hacker did as well as what information was leaked if any.
LABS: Wireshark Exercise Part 1 & 2, Metadata Analysis
LABS: " Reconnaissance #1, & #2, & #3. Hard NOC Life
LABS: Big Bad Recon Scan, Global Consulting Intrusion #1 & #2, & #3