Data_of_SRAD

This dataset provides a curated collection of stage-wise rug pull attack sequences extracted from real-world DeFi incidents.
Each record represents a complete attack trajectory, explicitly linking a preparation-stage transaction to its corresponding execution-stage transaction through a common attacker-controlled address.

Unlike conventional datasets that treat malicious transactions as isolated events, this dataset preserves the temporal and behavioral structure of rug pull attacks. Specifically, it captures the causal relationship between early-stage suspicious behaviors (e.g., illicit minting, permission abuse, liquidity manipulation) and their subsequent execution actions (e.g., massive token dumping or liquidity withdrawal).

The dataset is designed to support:

• Stage-aware attack modeling
• Temporal correlation analysis
• Pre-attack detection and early warning research
• Behavior-driven vulnerability inference

By explicitly modeling rug pull attacks as multi-stage on-chain behavior sequences, this dataset enables researchers to move beyond single-transaction classification toward lifecycle-level security analysis in DeFi ecosystems.