analyzing-linux-kernel-rootkitslisted

# 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 ## Prerequisites - Volatility3 installed (pip install volatility3) - Linux memory dump (acquired via LiME, AVML, or /proc/kcore) - Volatility3 Linux symbol table (ISF) matching the target kernel version - rkhunter and chkrootkit for live system scanning - Reference known-good kernel image for comparison ## Steps ### Step 1: Acquire Memory Dump Capture Linux physical memory using LiME kernel module or AVML for cloud instances. ### Step 2: Analyze with Volatility3 Run linux.check_syscall, linux.lsmod, linux.hidden_modules, and linux.check_idt plugins to detect roo