Academy of Crypto Security
AIT-301/Lessons/04
Week 4~90 minLesson 4 of 6

Phishing & Address Poisoning

Classifying approval-phishing contracts by bytecode similarity · Address-poisoning detection via dust-transaction patterns · NLP models for scam-URL and social-media lure detection

01Objectives
  • 01Understand and apply: Classifying approval-phishing contracts by bytecode similarity
  • 02Understand and apply: Address-poisoning detection via dust-transaction patterns
  • 03Understand and apply: NLP models for scam-URL and social-media lure detection
01

Classifying approval-phishing contracts by bytecode similarity

This section covers classifying approval-phishing contracts by bytecode similarity. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

02

Address-poisoning detection via dust-transaction patterns

This section covers address-poisoning detection via dust-transaction patterns. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

03

NLP models for scam-URL and social-media lure detection

This section covers nlp models for scam-url and social-media lure detection. Content for this lesson is being developed by our practitioner team and will be available when the program launches.

02Exercises
  1. 01Complete the hands-on lab for phishing & address poisoning.
  2. 02Review the provided case study and answer the reflection questions.
03Key takeaways
  • ✓Classifying approval-phishing contracts by bytecode similarity
  • ✓Address-poisoning detection via dust-transaction patterns
  • ✓NLP models for scam-URL and social-media lure detection