emre-kocyigit/phishing-website-detection-content-based
This is an End-to-End Machine Learning Project which focuses on phishing websites to classify phishing and legitimate ones. Particularly, I focused on content-based features like html tag based features. You can find feature extraction, data collection, preparation process here. Also, building ML models, evaluating them are available here.
34
Stars
15
Forks
24.8
Radar Score
Stable
Momentum
Scoring Breakdown
Impact16.4
Velocity27.5
Health34.6
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 91% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
24.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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