Search Results for "source cross reference"

This project packages a set of Windows tweaks, shortcuts, and convenience scripts that surface many of the OS’s hidden settings and advanced controls into a single, easy-to-use place. It automates creation of “God Mode” folders and other control-panel shortcuts, removes the need to manually hunt through layers of Settings or the Registry, and often bundles helper scripts for common maintenance tasks. The intent is to put power-user features—tweaks for privacy, appearance, power management,...

PoshC2 is a proxy-aware C2 framework used to aid penetration testers with red teaming, post-exploitation and lateral movement. PoshC2 is primarily written in Python3 and follows a modular format to enable users to add their own modules and tools, allowing an extendible and flexible C2 framework. Out-of-the-box PoshC2 comes PowerShell/C# and Python2/Python3 implants with payloads written in PowerShell v2 and v4, C++ and C# source code, a variety of executables, DLLs and raw shellcode in...

The Offensive Reverse Shell Cheat Sheet is a compilation of reverse shell payloads useful for red team operations and penetration testing. It provides ready-to-use code snippets in various programming languages, facilitating the establishment of reverse shells during security assessments.​

Active-Directory-Exploitation-Cheat-Sheet is a comprehensive, community-curated cheat sheet that collects practical enumeration commands, attack techniques, and quick references for attacking and auditing Windows Active Directory environments. The repository is organized as a stepwise kill-chain: recon, domain enumeration, local privilege escalation, user hunting, BloodHound guidance, lateral movement, persistence, domain-admin takeover, cross-trust attacks, data exfiltration, and a toolbox...

Security‑Datasets is a community-driven repository maintained by the Open Threat Research Forge (OTRF) that curates publicly available malicious and benign datasets for threat-hunting, machine learning, event analysis, and cybersecurity research. Datasets include Windows events, logs, alerts, and simulated attack data to support detection engineering and academic research.