pdf-malware

Here are 7 public repositories matching this topic...

evilfeonix / PDF-HackMe-J5

PDF HackMe-J5 Our all in one PDF hacking script!, which include encrypting and decrypting PDF, crack encrypted PDF, inject your own malicious JS code into PDF, and more.

pdf pdf-encryption pdf-malware malicious-pdf-files pdf-maker pdf-exploit pdf-inject pdf-hack hacking-pdf js-in-pdf pdf-hackme pdf-hackme-js pdf-hackme-j5 pdf-scriptkiddie js-rootkit

Updated Mar 27, 2025
Python

malice-plugins / pdf

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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

Updated Jul 31, 2025
Jupyter Notebook

ridpath / pdfscapel

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PDFScalpel is a forensic PDF analysis and CTF toolkit for security researchers, digital forensics analysts, and penetration testers, providing deep insight into PDF structure, encryption, malware, steganography, metadata, revisions, and document authenticity.