Rug-Pull & Scam Detection
Supervised classifiers for honeypot and rug-pull contracts · Token-launch signals: liquidity lock, ownership renounce, hidden mints · Temporal features and deployer-reputation scoring
- 01Understand and apply: Supervised classifiers for honeypot and rug-pull contracts
- 02Understand and apply: Token-launch signals: liquidity lock, ownership renounce, hidden mints
- 03Understand and apply: Temporal features and deployer-reputation scoring
Supervised classifiers for honeypot and rug-pull contracts
This section covers supervised classifiers for honeypot and rug-pull contracts. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
Token-launch signals: liquidity lock, ownership renounce, hidden mints
This section covers token-launch signals: liquidity lock, ownership renounce, hidden mints. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
Temporal features and deployer-reputation scoring
This section covers temporal features and deployer-reputation scoring. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
- 01Complete the hands-on lab for rug-pull & scam detection.
- 02Review the provided case study and answer the reflection questions.
- ✓Supervised classifiers for honeypot and rug-pull contracts
- ✓Token-launch signals: liquidity lock, ownership renounce, hidden mints
- ✓Temporal features and deployer-reputation scoring