Showing 101-120 of 146 projects
This is a course repository for a University of Cincinnati Malware Analysis class, not a developer discovery platform.
ThePhish is an automated tool for analyzing and detecting phishing emails, providing cybersecurity professionals with a comprehensive solution.
Expose USB activity on the fly for forensic analysis and security research.
A Go-based malware scanner for cloud-native environments, usable in CI/CD pipelines and at runtime.
A secure sandbox environment for malware developers and red teamers to test payloads against detection mechanisms.
A customizable Windows-based virtual machine for threat intelligence analysis and hunting
VirusTotal Command Line Interface: a Go-based CLI tool for interacting with the VirusTotal malware detection service.
DRAKVUF Sandbox is an automated hypervisor-level malware analysis system for reverse-engineering and security research.
Noriben is a portable, simple malware analysis sandbox written in Python.
A security tool for analyzing vulnerabilities, malware, and anomalous activities in Docker images and containers.
DRAKVUF is a powerful virtualization-based binary analysis tool for introspecting and analyzing malware.
A collection of Android malware samples for security research and analysis.
This repository contains the public open-source code of the malware Stuxnet, also known as MyRTUs.
This is an advanced remote access trojan (RAT) written in Python that can be controlled through Discord.
A Jupyter Notebook project that leverages OpenAI and ChatGPT to perform hacking-related tasks.
This project appears to be a malicious spyware Trojan program, not a developer tool.
Malcom is a Python-based framework for analyzing and monitoring network traffic to detect malware communications.
A virtual machine for assessing Android applications, reverse engineering, and malware analysis.
This repository provides a comprehensive summary of the Certified Ethical Hacker (CEH) certification in bullet points.
A real-world malware collection for researchers to understand and analyze malware threats.
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