Abhijit contributed to the polkadot-js/phishing repository by enhancing the scam URL dataset to improve detection and blocking of malicious sites. Focusing on data management and JSON, he updated the all.json file to address proxy-based evasion tactics, expanding coverage and reducing false negatives in threat identification. His approach emphasized data provenance and traceability, with clear, incremental commits that documented each dataset update and its rationale. Although the work was limited to one feature over a month, it demonstrated a methodical, data-driven process that strengthened user protection by enriching threat intelligence and maintaining a resilient, up-to-date classification system for phishing URLs.