phishing-detection-rnn-cnn frangelbarrera · PARTIAL
Offline phishing-URL classifier with a Flask web UI and CLI. Trained on lexical URL features only, runs without network access. Includes reproducible training pipeline and model artifacts.
github.com/frangelbarrera/phishing-detection-rnn-cnn · ★ 11 · Forks 0 · Size 10.6 MB
SUMMARY
Technologies 9
Scored 8
Observed 8
Practices 6
Evidence 10
Skips 1
COVERAGE
Analyzed 33 files · 42 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
4 files · PRODUCTION
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
9 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Flask FRAMEWORK Depth 58
1 files · PRODUCTION
Gunicorn LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 74
4 files · PRODUCTION, TEST
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-14
Last commit 2026-10-06
Active months 7
Commits 42