detecting-rootkit-activity

Detect hidden rootkit activity in memory dumps using Volatility 3 cross-view analysis.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill detecting-rootkit-activity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: detecting-rootkit-activity
Source: https://github.com/YukiIto1999/ctf-sleuth/tree/main/.claude/skills/detecting-rootkit-activity
Command: npx skills add https://github.com/YukiIto1999/ctf-sleuth --skill detecting-rootkit-activity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Identify and characterize kernel-level rootkits that hide processes, files, and network activity by integrating memory-forensics results with cross-view verification to reveal hidden components and covert communications.

Core Features & Use Cases

  • Cross-view detection of hidden processes via Volatility pslist vs psscan
  • SSDT/driver hook and DKOM analysis for kernel-level stealth
  • Hidden files and registry/service discovery
  • Memory-based network activity correlation to uncover covert channels

Quick Start

Analyze a memory dump with Volatility 3 and run the rootkit detection agent to generate a cross-view integrity report.

Frequently Asked Questions about detecting-rootkit-activity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect hidden rootkit activity in a memory dump?

Detect hidden rootkit activity by comparing multiple process enumerations and kernel artifacts in a memory dump. This cross-view verification reveals hidden processes, kernel hooks, and covert network channels.

How does cross-view detection identify hidden processes with Volatility 3?

Cross-view detection identifies hidden processes by comparing Volatility 3 pslist against psscan results. Discrepancies between these process enumerations reveal rootkits using DKOM and kernel-level stealth techniques.

Do I need Volatility 3 and kernel-driver tooling to analyze SSDT hooks?

Yes, you need Volatility 3 and kernel-driver tooling to analyze SSDT hooks. These tools provide the baseline module lists and hook detection capabilities required for kernel-level rootkit analysis.

What is the best way to uncover covert network channels during memory forensics?

The best way to uncover covert network channels is through memory-based network activity correlation. This process maps hidden network artifacts against standard kernel lists to reveal covert rootkit communications.

Can I use this approach to find hidden files and registry keys on compromised Windows systems?

Yes, this approach finds hidden files and registry keys on compromised Windows systems. The cross-view integrity assessment compares kernel artifacts to expose rootkit-hidden services and files.

Why does cross-view rootkit detection require baseline module lists?

Cross-view rootkit detection requires baseline module lists to establish a known-good state. Comparing live kernel modules against this baseline exposes unauthorized SSDT hooks and DKOM manipulations.