anuragkmore / phishing-website-detection-by-machine-learning-methods

How anuragkmore/phishing-website-detection-by-machine-learning-methods works

This page is an auto-generated, always-fresh map of the anuragkmore/phishing-website-detection-by-machine-learning-methods repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 1 source files, 13 symbols, and 1 languages. Git churn analysis flags 0 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 1 tightly-coupled module communities.

Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.