Individual skill

analyzing-linux-kernel-rootkits

Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.

skills/analyzing-linux-kernel-rootkits/SKILL.md

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Last checked: Nov 9, 2026

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Repository stars (not skill ratings): 35,862
Repository last updated: Aug 31, 2026
License: Apache-2.0

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ai-agents Repository topic
claude-code Repository topic
cybersecurity Repository topic
incident-response Repository topic
mitre-attack Repository topic
penetration-testing Repository topic
red-team Repository topic
security Repository topic
cloud-security Repository topic
malware-analysis Repository topic
rootkit Declared skill tag
linux Declared skill tag
kernel Declared skill tag
volatility3 Declared skill tag
memory-forensics Declared skill tag
malware-analysis Declared skill tag
rkhunter Declared skill tag
forensics Declared skill tag
engineering Derived category

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# Analyzing Linux Kernel Rootkits

## Overview

Linux kernel rootkits operate at ring 0, modifying kernel data structures to hide processes, files, network connections, and kernel modules from userspace tools. Detection requires either memory forensics (analyzing physical memory dumps with Volatility3) or cross-view analysis (comparing /proc, /sys, and kernel data structures for inconsistencies). This skill covers using Volatility3 Linux plugins to detect syscall table hooks, hidden kernel modules, and modified function pointers, supplemented by live system scanning with rkhunter and chkrootkit.


## When to Use

- When investigating security incidents that require analyzing linux kernel rootkits
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques