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C# port of the Get-AppLockerPolicy PowerShell cmdlet with extended features. Includes the ability to filter and search for a specific type of rules and actions. Useful when you already bypassed AppLocker initially and you don't want to leave PS logs
The main features of flangvik/sharpapplocker are: Host Situational Awareness, Offensive Security Tools.
Projects with overlapping indexed features include: ghostpack/seatbelt — Seatbelt is a C# offensive security framework and host security auditor designed to perform endpoint surveys on… v2-dev/awesome-social-engineering — This project is a curated collection of frameworks, libraries, and toolsets designed for social engineering and public… skerkour/black-hat-rust — This project is an offensive security toolkit and development framework for creating memory-safe malware, network… mandiant/commando-vm — Commando VM is a Windows-based penetration testing distribution and offensive security virtual machine. It serves as a… mxrch/ghunt — GHunt is a Google account investigator and open-source intelligence framework designed to retrieve publicly available… samratashok/nishang — Nishang is a PowerShell-based offensive security framework designed for red teaming and penetration testing on Windows…
Seatbelt is a C# offensive security framework and host security auditor designed to perform endpoint surveys on Windows systems. It functions as a modular tool for identifying vulnerabilities, misconfigurations, and security-relevant artifacts on both local and remote hosts. The project distinguishes itself through a module-based check system that allows for the integration of custom security command units. It features a security event log parser to track logon and process activity, alongside a credential extraction utility for gathering browser history, saved passwords, and cloud credentials
This project is a curated collection of frameworks, libraries, and toolsets designed for social engineering and public data gathering. It aggregates specialized software and educational materials used to perform human-centric attacks during professional security engagements. The directory provides resources for gathering and visualizing open source intelligence to identify sensitive information leaks. It also includes a collection of methods and software for executing phishing campaigns to harvest credentials and session cookies. The repository further covers educational materials focused on
This project is an offensive security toolkit and development framework for creating memory-safe malware, network scanners, and payload generators. It provides a structured approach to developing exploits, shellcode, and remote access tools. The framework distinguishes itself through the use of no-standard-library environments to generate minimal standalone machine code and shellcode. It also supports the compilation of high-performance logic into WebAssembly for the creation of deceptive web interfaces used in social engineering. Capability areas cover automated vulnerability discovery via
GHunt is a Google account investigator and open-source intelligence framework designed to retrieve publicly available information and metadata associated with Google accounts. It functions as an OSINT data extractor and offensive security framework used to identify user identities and uncover hidden metadata. The tool extracts public profile data from various Google services and exports the findings into structured JSON formats. This allows for the collection and analysis of digital footprints to support security research and reconnaissance.