Role: Historical Data Aggregation and Analysis
AUDIT AI integrates with major blockchain explorers to provide historical transaction data, developer associations, and exploit pattern recognition.
Technical Details:
Transaction Data Collection:
Gathers historical interactions for each contract, including token transfers, function calls, and wallet activity.
Tracks large movements of funds indicative of exploit attempts (e.g., rug pulls).
Developer Profiling:
Links contracts to associated wallet addresses, cross-referencing previous deployments and flagged activities.
Example: Identifies if the deploying wallet is linked to a previous exploit or abandoned projects.
Exploit Pattern Matching:
Searches for similarities between audited contracts and known exploited contracts in explorer databases.
Example: Flags token contracts with similar bytecode to honeypots or rug pulls.
Integration with AUDIT AI:
Provides the contextual layer, enriching audit reports with real-world contract behavior and developer histories.
Automatically generates risk scores based on historical activity.
