omcyber10/Endpoint-Detection-and-Response-EDR-LimaCharlie

GitHub: omcyber10/Endpoint-Detection-and-Response-EDR-LimaCharlie

Stars: 0 | Forks: 0

# Endpoint Detection & Response (EDR) Lab using LimaCharlie ![Platform](https://img.shields.io/badge/Platform-Windows-blue) ![Tool](https://img.shields.io/badge/EDR-LimaCharlie-red) ![Focus](https://img.shields.io/badge/Focus-Threat%20Detection-green) ![MITRE](https://img.shields.io/badge/MITRE-T1003.001-orange) # Project Overview This project demonstrates a hands-on Endpoint Detection & Response (EDR) lab using LimaCharlie to simulate and investigate suspicious endpoint activity related to LSASS credential dumping. The objective of this lab was to: - Deploy and configure LimaCharlie sensors - Generate endpoint telemetry - Simulate credential dumping activity - Trigger EDR detections - Investigate alerts and suspicious processes - Map findings to MITRE ATT&CK techniques # Technologies Used - LimaCharlie EDR - Windows Endpoint - PowerShell - MITRE ATT&CK Framework - Detection Engineering - Threat Hunting Concepts # EDR Lab Architecture +----------------------+ | Windows Endpoint | +----------------------+ | v +----------------------+ | LimaCharlie Sensor | +----------------------+ | v +----------------------+ | Endpoint Telemetry | | Process Events | | PowerShell Activity | | Command-Line Logs | +----------------------+ | v +----------------------+ | Detection Engine | | Behavioral Rules | | IOC Matching | +----------------------+ | v +----------------------+ | Security Alerts | | Detection Events | +----------------------+ | v +----------------------+ | SOC Investigation | | Threat Analysis | | MITRE ATT&CK Mapping | +----------------------+ # Sensor Deployment ## Downloading LimaCharlie Sensor ![Sensor Download](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/067e1feeb7182028.png) ## Sensor Installation ![Sensor Installation](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/5b5c9c950a182029.png) ## Agent Installed Successfully ![Agent Installed](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/78858ce185182030.png) # Sensor Management ## Sensor List ![Sensor List](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/4547f1fcc2182030.png) ## Sensor Overview ![Sensor Overview](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/9912e4e91a182031.png) # Attack Simulation ## PowerShell Preparation ![PowerShell Preparation](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/22ab84855b182032.png) ## LSASS Dump Simulation ![LSASS Dump](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/64ec5f3a77182032.png) The following command was executed to simulate credential dumping behavior: rundll32.exe C:\Windows\System32\comsvcs.dll, MiniDump 1436 C:\Windows\Temp\lsass.dmp full MITRE ATT&CK Technique: - T1003.001 — OS Credential Dumping: LSASS Memory # Detection & Telemetry ## Detection Dashboard ![Detection Dashboard](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/1193f65f2f182033.png) ## Detection Events ![Detection Events](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/49f8b7cfcd182034.png) Detections triggered during the simulation: - LSASS Dump Keyword In CommandLine - Potentially Suspicious Rundll32 Activity - Process Memory Dump via Comsvcs.DLL - PowerShell Spawning Rundll32 # Investigation Report ![Investigation Report](https://static.pigsec.cn/wp-content/uploads/repos/2026/05/721498d5a0182036.png) The investigation identified suspicious credential dumping behavior using rundll32.exe and comsvcs.dll MiniDump functionality targeting the LSASS process. Indicators observed: - Suspicious command-line arguments - Credential dumping behavior - PowerShell spawning rundll32.exe - Creation of lsass.dmp - High severity EDR detections # Skills Demonstrated - Endpoint Detection & Response (EDR) - Threat Detection - SOC Investigation Workflow - Threat Hunting - PowerShell Analysis - Detection Engineering - MITRE ATT&CK Mapping - Security Telemetry Analysis # Project Outcome This lab successfully demonstrated how EDR platforms detect, analyze, and investigate suspicious credential dumping activity using behavioral telemetry and detection logic. The project also provided hands-on experience with SOC workflows, alert triaging, and endpoint investigation techniques.