Showing 341-360 of 1,841 projects
A Python-based utility to quickly access and launch various hacking tools for security professionals.
A comprehensive collection of resources and techniques for advanced prompt engineering with large language models like ChatGPT.
A .NET deserialization payload generator to help developers identify and mitigate security vulnerabilities.
A Ruby implementation of the JWT standard for secure token-based authentication.
A cross-platform game hack for Counter-Strike 2 with a Panorama-based GUI, focused on reverse-engineering and internal development.
This GitHub repository provides hourly-updated data dumps of bug bounty platform scopes for developers to explore and use.
OSCP cheatsheet for penetration testing and offensive security
A repository containing public documents and whitepapers about advanced persistent threat (APT) campaigns.
Automation tools for internal Windows penetration testing and Active Directory security research.
Very fast DDoS sensor with sFlow/Netflow/IPFIX/SPAN support for network security monitoring
The Sandboxie application, a C-based sandbox program for running applications in a secure environment.
A Python framework for conducting Man-In-The-Middle attacks, useful for security research and penetration testing.
This repository provides a comprehensive collection of resources and tools for cellular network hacking.
This is a Python tool for testing and auditing wireless networks and devices, not a vibe coder tool.
This is a collection of classic and modern trojan builders, not a developer tool for AI-powered coding.
A powerful password cracking and dictionary building tool for brute-force attacks and social engineering.
A collection of security-related presentations and research reports shared at various conferences and events.
A comprehensive IT security toolkit for Android developers and professionals.
An AI-powered GitHub Action that analyzes code changes for security vulnerabilities using the Claude language model.
An open-source framework to help security professionals and engineers identify risks in generative AI systems.
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