An artificial neural network and API to detect Windows malware, based on Ergo and LIEF
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Updated
Jun 27, 2019 - Python
An artificial neural network and API to detect Windows malware, based on Ergo and LIEF
DsProfiling – Dataset Profiling
University project for an Operating Systems lecture. The goal is to develope a keystroke-logger-detector for a Linux environment. Developement Environment: Fedora 37 VM under Gnome and Wayland.
Python script for clustering OneNote ('.one'/'.onetoc2') files via their UUIDs.
This project endeavors to synthesize the challenges posed by varying misclassification costs and class imbalances, along with the corresponding solutions available for addressing these issues.
This project analyzes PE information of exe files to detect malware. In this repository you will learn how to create your own dataset and will be able to see the use of machine learning models using the dataset. We will use machine learning for detect malware.
IoT Malware Detection based on Graph Theory
Testing samples for malware analysis testing
Project aims to predict if a software is malware or not by using system call sequences in different window sizes.
"The Crusader" is a powerful Python script that scans web servers and WordPress installations for malware and other types of malicious software. It sends an alert email and text message to the website owner if it finds any issues. This tool helps cybersecurity analysts to protect their web assets and prevent cyber attacks.
This repository contains my own simple `Yara-rules` to check specified binaries to categorize it by malware types.
IOC Checker, client for Windows OS.
Python-based application designed to scan URLs and assess website risks through an API
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