pdf-malware

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malice-plugins / pdf

Malice PDF Plugin

plugin docker pdf malware malware-analyzer malware-analysis malice pdf-parsing pdfid peepdf malice-plugin pdf-malware pdf-analyzer

Updated Jan 7, 2019
Python

La-Casette / malicious_pdf_detection

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This project compares the performance of K-Nearest Neighbors, Support Vector Machines, and Decision Trees models for detecting malicious PDF files, with an emphasis on optimizing model performance and analyzing evasion techniques. It provides a comprehensive overview of machine learning for malicious PDF detection and potential vulnerabilities.

pdf machine-learning random-forest svm decision-trees knn malicious adversarial-learning pdf-malware evasion-attack

Updated Jan 22, 2023
Jupyter Notebook

fouadtrad / Leveraging-Adversarial-Samples-for-Enhanced-Classification-of-Malicious-and-Evasive-PDF-Files

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Repository for the paper "Leveraging Adversarial Samples for Enhanced Classification of Malicious and Evasive PDF Files" published in Applied Sciences, MDPI

machine-learning malware evasion pdf-malware evasive-samples