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jev-phishing-bench

A phishing test that pits Jev against Claude Haiku 4.5 on 2,000 emails.

Source screenshot of jev-phishing-bench
SOURCE SCREENSHOT · source ↗ · captured 2026-09-21Full screenshot ↗

Maker-reported (not independently measured by JevMade): gives 89.5% accuracy with no fitting, and a cross-validated logistic regression on the five signals reaches 95.1%, · link, plus an eTLD+1 comparison between sender and link. The list rule alone: 91.6% accuracy,

Primitives
choice, noul
Platform
Python
Added
Project created
GitHub stars
0 · snapshot 2026-09-18T22:58:45Z

Source checked 2026-09-19 — opened the GitHub repository directly.