Worked on the polkadot-js/phishing repository to enhance the scam URL dataset, focusing on improving the detection and blocking of malicious sites. Addressed the challenge of proxy-based evasion by updating the all.json file with new scam website entries, thereby increasing the accuracy and coverage of threat classification. Employed data management skills and JSON to ensure updates were precise, traceable, and well-documented through clear, incremental commits. The work prioritized data enrichment and resilience, strengthening user protection by delivering timely threat intelligence. No major bugs were addressed during this period, as the primary emphasis remained on expanding and maintaining the threat dataset.