
Detecting Rootkit Activity
FreeIdentify hidden rootkits on compromised systems.
Free · Opens the source repo
What Detecting Rootkit Activity does
Detecting Rootkit Activity is a specialized skill designed for cybersecurity professionals and incident responders who need to uncover hidden rootkits on compromised systems. Rootkits can be particularly insidious, as they often evade detection by standard security tools like Task Manager or antivirus software. This skill leverages advanced memory forensics techniques using tools like Volatility to analyze memory dumps and identify discrepancies that indicate rootkit presence.
The skill operates through a series of structured workflows, starting with cross-view detection to compare process lists from different sources. This helps to identify hidden processes that may be manipulated by rootkits. By utilizing various Volatility commands, users can scan for hooked system calls, unauthorized kernel modules, and hidden network connections, providing a comprehensive analysis of the system's integrity. The skill also emphasizes the importance of having a clean baseline for comparison, which is crucial for effective rootkit detection.
This skill is particularly useful in scenarios where traditional malware detection methods fail, such as when an antivirus detects rootkit signatures but cannot pinpoint the specific hiding mechanism. It is also valuable for validating system integrity after suspected compromises and for investigating persistent threats that survive remediation attempts. By employing a systematic approach, users can effectively uncover and analyze rootkit activity, thereby enhancing their incident response capabilities.
However, it is important to note that this skill should not be used as a first-line detection method. It is intended for use when there is a strong suspicion of rootkit activity, following initial malware triage. Users should be familiar with memory forensics and have the necessary tools installed to fully leverage the capabilities of this skill.
When to use it
Use this skill when standard tools show no abnormalities but you suspect a rootkit is present due to signs of compromise.
When not to use it
Do not use this skill as a first-line detection method; it should be an escalation after initial malware triage.
What you can build with it
Investigating Suspicious Activity
When a system shows unusual behavior but standard tools report no issues, this skill helps uncover hidden rootkits.
Validating System Integrity
After a suspected kernel-level compromise, use this skill to verify the integrity of the system against known-good baselines.
Responding to Persistent Threats
In cases where malware persists after remediation attempts, this skill can assist in identifying rootkits that evade detection.
How to install Detecting Rootkit Activity
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/detecting-rootkit-activity --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Detecting Rootkit Activity
When to Use
- System shows signs of compromise but standard tools (Task Manager, netstat) show nothing abnormal
- Antivirus/EDR detects rootkit signatures but cannot identify the specific hiding mechanism
- Memory forensics reveals discrepancies between kernel data structures and user-mode tool output
- Investigating a persistent threat that survives remediation attempts and system reboots
- Validating system integrity after a suspected kernel-level compromise
Do not use as a first-line detection method; start with standard malware triage and escalate to rootkit analysis when hiding behavior is suspected.
Prerequisites
- Volatility 3 for memory forensics and kernel structure analysis
- GMER or Rootkit Revealer (Windows) for live system scanning
- rkhunter and chkrootkit (Linux) for filesystem and process integrity checks
- Sysinternals tools (Process Explorer, Autoruns, RootkitRevealer) for Windows analysis
- Memory dump from the suspected system (WinPmem, LiME)
- Clean baseline of the OS for comparison (known-good kernel module hashes)
Workflow
Step 1: Cross-View Detection for Hidden Processes
Compare process lists from different data sources to find discrepancies:
# Volatility: Compare process enumeration methods
# pslist - walks ActiveProcessLinks (EPROCESS linked list - what rootkits manipulate)
vol3 -f memory.dmp windows.pslist > pslist_output.txt
# psscan - scans physical memory for EPROCESS pool tags (rootkit-resistant)
vol3 -f memory.dmp windows.psscan > psscan_output.txt
# Compare outputs to find hidden processes
python3 << 'PYEOF'
pslist_pids = set()
psscan_pids = set()
with open("pslist_output.txt") as f:
for line in f:
parts = line.split()
if len(parts) > 1 and parts[1].isdigit():
pslist_pids.add(int(parts[1]))
with open("psscan_output.txt") as f:
for line in f:
parts = line.split()
if len(parts) > 1 and parts[1].isdigit():
psscan_pids.add(int(parts[1]))
hidden = psscan_pids - pslist_pids
if hidden:
print(f"[!] HIDDEN PROCESSES DETECTED (in psscan but not pslist):")
for pid in hidden:
print(f" PID: {pid}")
else:
print("[*] No hidden processes detected via cross-view analysis")
PYEOF
Step 2: Detect System Call Hooking
Identify hooks in the System Service Descriptor Table (SSDT) and Import Address Tables:
# Check SSDT for hooked system calls
vol3 -f memory.dmp windows.ssdt
# Identify hooks pointing outside ntoskrnl.exe or win32k.sys
vol3 -f memory.dmp windows.ssdt | grep -v "ntoskrnl\|win32k"
# Check for Inline hooks (detour patching)
vol3 -f memory.dmp windows.apihooks --pid 4 # System process
# IDT (Interrupt Descriptor Table) analysis
vol3 -f memory.dmp windows.idt
# Check for IRP (I/O Request Packet) hooking on drivers
vol3 -f memory.dmp windows.driverscan
vol3 -f memory.dmp windows.driverirp
Types of Rootkit Hooks:
━━━━━━━━━━━━━━━━━━━━━
SSDT Hook: Modifies System Service Descriptor Table entries to redirect
system calls through rootkit code (filters process/file listings)
IAT Hook: Patches Import Address Table of a process to intercept API calls
before they reach the kernel
Inline Hook: Overwrites the first bytes of a function with a JMP to rootkit code
(detour/trampoline technique)
IRP Hook: Intercepts I/O Request Packets to filter disk/network operations
at the driver level
DKOM: Direct Kernel Object Manipulation - unlinking structures like
EPROCESS from the ActiveProcessLinks list without hooking
Step 3: Analyze Kernel Modules and Drivers
Identify unauthorized kernel drivers that may be rootkit components:
# List all loaded kernel modules
vol3 -f memory.dmp windows.modules
# Scan for drivers in memory (including hidden/unlinked)
vol3 -f memory.dmp windows.driverscan
# Compare module lists to find hidden drivers
vol3 -f memory.dmp windows.modscan > modscan.txt
vol3 -f memory.dmp windows.modules > modules.txt
# Check driver signatures and verify against known-good baselines
vol3 -f memory.dmp windows.verinfo
# Dump suspicious driver for static analysis
vol3 -f memory.dmp windows.moddump --base 0xFFFFF80012340000 --dump
Step 4: Detect File and Registry Hiding
Identify files and registry keys hidden by the rootkit:
# Linux rootkit detection with rkhunter
rkhunter --check --skip-keypress --report-warnings-only
# chkrootkit scanning
chkrootkit -q
# Windows: Compare filesystem views
# Live system file listing vs Volatility filescan
vol3 -f memory.dmp windows.filescan > mem_files.txt
# Check for hidden registry keys
vol3 -f memory.dmp windows.registry.hivelist
vol3 -f memory.dmp windows.registry.printkey --key "SYSTEM\CurrentControlSet\Services"
# Look for hidden services (loaded but not in service registry)
vol3 -f memory.dmp windows.svcscan | grep -i "kernel"
Step 5: Network Connection Analysis
Find hidden network connections and backdoors:
# Memory-based network connection enumeration
vol3 -f memory.dmp windows.netscan
# Compare with live netstat (if available) to find hidden connections
# Hidden connections: present in memory but not shown by netstat
# Look for raw sockets (often used by rootkits for covert communication)
vol3 -f memory.dmp windows.netscan | grep RAW
# Check for network filter drivers (NDIS hooks)
vol3 -f memory.dmp windows.driverscan | grep -i "ndis\|tcpip\|afd"
# Analyze callback routines registered by drivers
vol3 -f memory.dmp windows.callbacks
Step 6: Integrity Verification
Verify system file and kernel integrity:
# Check kernel code integrity (compare in-memory kernel to on-disk copy)
vol3 -f memory.dmp windows.moddump --base 0xFFFFF80070000000 --dump
# Compare SHA-256 of dumped ntoskrnl.exe with known-good copy
# Windows: System File Checker (on live system)
sfc /scannow
# Linux: Package integrity verification
rpm -Va # RPM-based systems
debsums -c # Debian-based systems
# Compare critical system binaries
find /bin /sbin /usr/bin /usr/sbin -type f -exec sha256sum {} \; > current_hashes.txt
# Compare against baseline: diff baseline_hashes.txt current_hashes.txt
# YARA scan for known rootkit signatures
vol3 -f memory.dmp yarascan.YaraScan --yara-file rootkit_rules.yar
Key Concepts
| Term | Definition |
|---|---|
| Rootkit | Malware designed to maintain persistent, privileged access while hiding its presence from system administrators and security tools |
| DKOM | Direct Kernel Object Manipulation; technique of modifying kernel data structures (e.g., unlinking EPROCESS) to hide objects without hooking |
| SSDT Hooking | Replacing entries in the System Service Descriptor Table to intercept and filter system call results (hide processes, files, connections) |
| Inline Hooking | Patching the first instructions of a function with a jump to rootkit code; the rootkit can filter the function output before returning |
| Cross-View Detection | Comparing results from multiple enumeration methods (linked list walk vs memory scan) to identify discrepancies caused by hiding |
| Kernel Driver | Code running in kernel mode (Ring 0) with full system access; rootkits use malicious drivers to gain kernel-level control |
| Bootkits | Rootkits that infect the boot process (MBR, VBR, or UEFI firmware) to load before the operating system and security tools |
Tools & Systems
- Volatility: Memory forensics framework providing cross-view detection, SSDT analysis, and kernel structure inspection for rootkit detection
- GMER: Free Windows rootkit detection tool scanning for SSDT hooks, IDT hooks, IRP hooks, and hidden processes/files/registry
- rkhunter: Linux rootkit detection tool checking for known rootkit signatures, suspicious files, and system binary modifications
- chkrootkit: Linux tool for detecting rootkit presence through signature-based and anomaly-based checks
- Sysinternals RootkitRevealer: Microsoft tool comparing Windows API results with raw filesystem/registry scans to find discrepancies
Common Scenarios
Scenario: Investigating a System Where Standard Tools Show No Compromise
Context: An endpoint shows network beaconing to a known C2 IP in firewall logs, but the local EDR, Task Manager, and netstat show no suspicious processes or connections. A memory dump has been acquired for analysis.
Approach:
- Run Volatility
psscanand compare withpslistto identify processes hidden via DKOM - Run
windows.ssdtto check for system call hooks that filter process and network listings - Run
windows.malfindto detect injected code in legitimate processes - Run
windows.netscanto find network connections hidden from user-mode tools - Run
windows.driverscanto identify malicious kernel drivers enabling the hiding - Dump the rootkit driver and analyze with Ghidra to understand its hooking mechanism
- Check for boot persistence (MBR/VBR modifications, UEFI firmware implants)
Pitfalls:
- Running detection tools on the live compromised system (rootkit may hide from or subvert them)
- Assuming kernel integrity because no SSDT hooks are found (rootkit may use DKOM or inline hooks instead)
- Not checking for both user-mode and kernel-mode rootkit components (many rootkits have both)
- Trusting the rootkit scanner results on a live system; always verify with offline memory forensics
Output Format
ROOTKIT DETECTION ANALYSIS REPORT
====================================
Dump File: memory.dmp
System: Windows 10 21H2 x64
Analysis Tool: Volatility 3.2
CROSS-VIEW DETECTION
Process List Comparison:
pslist processes: 127
psscan processes: 129
[!] HIDDEN PROCESSES: 2
PID 6784: sysmon64.exe (hidden rootkit component)
PID 6812: netfilter.exe (hidden network filter)
SSDT HOOK ANALYSIS
[!] Entry 0x004A (NtQuerySystemInformation) hooked -> driver.sys+0x1200
[!] Entry 0x0055 (NtQueryDirectoryFile) hooked -> driver.sys+0x1400
[!] Entry 0x0119 (NtDeviceIoControlFile) hooked -> driver.sys+0x1600
Hook Target: driver.sys at 0xFFFFF800ABCD0000 (unsigned, suspicious)
KERNEL DRIVER ANALYSIS
[!] driver.sys - No digital signature, loaded at 0xFFFFF800ABCD0000
Size: 45,056 bytes
SHA-256: abc123def456...
IRP Hooks: IRP_MJ_CREATE, IRP_MJ_DEVICE_CONTROL
Registry: HKLM\SYSTEM\CurrentControlSet\Services\MalDriver
HIDDEN NETWORK CONNECTIONS
PID 6812: 10.1.5.42:49152 -> 185.220.101.42:443 (ESTABLISHED)
- Not visible via netstat or user-mode tools
- Filtered by NtDeviceIoControlFile SSDT hook
ROOTKIT CAPABILITIES
- Process hiding (DKOM + SSDT)
- File hiding (NtQueryDirectoryFile hook)
- Network connection hiding (NtDeviceIoControlFile hook)
- Kernel-mode persistence (driver service)
REMEDIATION
- Boot from clean media for offline remediation
- Remove malicious driver from offline registry
- Verify MBR/VBR/UEFI integrity for boot persistence
- Full system rebuild recommended for kernel-level compromise
Frequently asked questions about Detecting Rootkit Activity
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