urcuqui/WhiteHat
A collection of AI-powered tools for phishing detection, adversarial machine learning, and cybersecurity research. Includes Streamlit/Flask apps, attack simulations, LoRA fine-tuning, and secure model evaluation for red teaming and defense.
117
Stars
40
Forks
33.3
Radar Score
Stable
Momentum
Scoring Breakdown
Impact31.8
Velocity27.4
Health43.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
33.3
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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