Explainability study for PDF malware detection, with a public project report. Not production security infrastructure.
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Updated
Sep 16, 2026
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security-ml
Here are 3 public repositories matching this topic...
Malware classification project using static analysis, where applications are converted into bytecode, the byte sequences are transformed into grayscale images, and deep learning–based image classification is applied to categorize malware into 31 distinct subclasses for accurate detection without executing the files.
machine-learning deep-learning tensorflow cybersecurity malware-detection malware-classification static-malware-analysis efficientnetv2 security-ml image-based-malware
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Jul 31, 2026 - Jupyter Notebook
Local-first phishing URL risk detection with lexical-v4 XGBoost, domain-grouped evaluation, calibrated ALLOW/CAUTION/BLOCK policy, FastAPI, and Chrome extension.
chrome-extension machine-learning cybersecurity xgboost probability-calibration url-classification phishing-detection fastapi ml-engineering security-ml
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Sep 18, 2026 - Python
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