• Online, Self-Paced
Course Description

The most common way for anti-virus programs to detect a malware infection is by checking files against a database of known-malicious objects. In this course, you'll learn about fileless malware, which avoids detection by not writing any files with known malicious content. Next, you'll explore malware analysis techniques that allow you to configure stronger defenses. You'll also examine sheep dipping and how to build a test environment. There are many security controls to protect against malware infections, so you'll complete this course by learning about countermeasures like logging, anti-virus, and backups. This course is one in a series that helps to prepare you for the Certified Ethical Hacker v11 (312-50) exam.

Learning Objectives

{"describe the different classifications of fileless malware","identify the fileless malware classification types ","describe how to obfuscate commands to avoid detection","describe the fileless malware infection process","identifying the steps of the fileless malware infection process"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Threat Analysis
  • Vulnerability Assessment and Management

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.