Lesson 213

Malware & Reverse Engineering

Taxonomy · Kill Chain · RE · Why AV Can’t Win

1:00

How malware is classified, how it hides, how analysts safely take it apart, and why perfect detection is a mathematical impossibility.

By the end, you can

  • Classify a described malware sample by how it spreads (virus, worm, trojan) and by its payload (ransomware, spyware, rootkit, botnet).
  • List the seven stages of the cyber kill chain in order and explain the asymmetry between attacker and defender.
  • Contrast static and dynamic analysis — what each examines and what each misses.
  • Explain how packing, polymorphism, and metamorphism defeat static signatures.
  • Distinguish the weaknesses of signature-based versus behavior-based detection.
  • Describe the undecidability argument that proves no perfect malware detector can exist.
  • Explain why malware analysis must be conducted in an isolated, networkless lab environment.
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