
Meerkat
A collection of PowerShell modules designed for artifact gathering and reconnaisance of Windows-based endpoints.

A collection of PowerShell modules designed for artifact gathering and reconnaisance of Windows-based endpoints.

Triages a suspect Windows machine in minutes. Collects processes, services, autoruns, event logs and forensic artifacts, flags attacker activity, and…

A PowerShell module for acquisition of data from Microsoft 365 and Azure for Incident Response and Cyber Security purposes.

This PowerShell script detects indicators of compromise for CVE-2025-53770 — a critical RCE vulnerability in Microsoft SharePoint. Created by…

Powershell to mitigate CVE-2022-29072

The Azure Active Directory Incident Response PowerShell module provides a number of tools, developed by the Azure Active Directory Product Group in…

A PowerShell script to identify indicators of exploitation of CVE-2021-26855, CVE-2021-26857, CVE-2021-26858, and CVE-2021-26865

SOC investigation of CVE-2024-49138 exploitation alert involving PowerShell, EDRFreeze execution, and defense evasion behavior in a simulated…

Defensive PowerShell tool for static inspection of RAR archives and detection of CVE-2025-8088 path traversal anomalies.

PowerShell script to mitigate CVE-2018-12038. The script takes a list of PC as input, gets their BitLocker encryption type remotely, and outputs a…

Scans Windows IIS logs for signs of CVE-2025-53770 & CVE-2025-53771

Full analysis of a never documented before Remote Access Trojan linked to Pjoao1578 toolchain

A really good DFIR automation for collecting and analyzing evidence designed for cybersecurity professionals.


PowerShell script helping Incident Responders discover potential adversary persistence mechanisms.

Automated PowerShell script for forensically sound Windows memory acquisition, including crash/raw dumps, pagefile collection, triage artifacts, and…

Detect CVE-2025-54313 eslint-config-prettier supply chain attack IOCs on Windows

Hands-on analysis of common APT attack techniques, focused on how they show up in logs and how defenders can realistically detect them.