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A hands-on guide to building an AI-assisted phishing detection pipeline you can run entirely from a Linux terminal: aggregate OpenPhish/URLHaus feeds, score URLs with a lightweight Python ML helper, validate DKIM/DMARC, and scan attachments with ClamAV/YARA. Includes copy-paste installs, ready-to-use Bash/Python scripts, tuning tips, and automation for a local, modular, privacy-preserving defense.