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urlaz
alixansec/urlaz
urlaz is a machine learning model from alixansec. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
URLAZ is a lightweight, high-performance Machine Learning model built for real-time URL-based phishing detection.
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Public
Updated Aug 8, 2026
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949 KB
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.joblib949 KB · 83%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- cae7b7c7
Model card
From the Hugging Face model README
🛡️ URLAZ — Phishing URL Detection Engine
URLAZ is a lightweight, high-performance Machine Learning model built for real-time URL-based phishing detection.
📊 Benchmark Metrics (5-Fold GroupKFold Cross-Validation)
| Metric | Score | Description |
|---|---|---|
| Precision | 99.80% | Test set precision at operational threshold |
| Recall | 95.50% | Phishing detection recall |
| PR-AUC | 0.9983 | Precision-Recall Area Under Curve |
| ROC-AUC | 0.9989 | Receiver Operating Characteristic AUC |
| MCC | 0.9781 | Matthews Correlation Coefficient |
| Brier Score | 0.0078 | Probability Calibration Score |
💻 Quickstart (Python)
1. Download Model from HuggingFace
from huggingface_hub import hf_hub_download
import joblib
# Download model weights
model_path = hf_hub_download(repo_id="alixansec/urlaz", filename="urlaz_phishing_detector.joblib")
model = joblib.load(model_path)
2. Predict URL
# Pass 35 structural features extracted from URL (see predict_url.py)
probability = model.predict_proba([features])[0][1]
if probability >= 0.95:
print("🔴 PHISHING DETECTED")
else:
print("🟢 SAFE")
📁 Repository Contents
urlaz_phishing_detector.joblib— Serialized binary classifierurlaz_phishing_detector.sha256— SHA-256 integrity signaturephishing_urls_verified.txt— Verified targeted phishing dataset (3,067 records)predict_url.py— Inference prediction script
🔒 Integrity Signature
- SHA-256:
c6a21e5a06901d6f3ba848a2d6c8507ff48c2cb52b2d8d80da6717a142c0a445
- License
- mit
- Languages
- az, en
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026