analyzing-linux-kernel-rootkits
Detect kernel-level rootkits in Linux memory dumps using Volatility3
Install / Use
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-kernel-rootkitsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of analyzing-linux-kernel-rootkits
analyzing-linux-kernel-rootkits scores 88/100 on our quality scale, 287th of 544 Security skills we index.
Its SKILL.md is 5.3 KB long, well organised into 11 sections with 1 code example: a solid amount of guidance for an agent.
With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 25 days ago, so analyzing-linux-kernel-rootkits is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
analyzing-linux-kernel-rootkits compared with similar skills
All 4 of these similar skills score higher than analyzing-linux-kernel-rootkits; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| analyzing-linux-kernel-rootkits (this skill)by mukul975 | 88 | 33.3k | 25d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 10d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install analyzing-linux-kernel-rootkits?
- Run
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-linux-kernel-rootkits. The install tabs above show the steps for each supported agent. - Which AI agents does analyzing-linux-kernel-rootkits work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is analyzing-linux-kernel-rootkits safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is analyzing-linux-kernel-rootkits still maintained?
- The repository was last updated 25 days ago, so analyzing-linux-kernel-rootkits is actively maintained.
Skill content
View source on GitHubname: analyzing-linux-kernel-rootkits description: 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. domain: cybersecurity subdomain: digital-forensics tags:
- rootkit
- linux
- kernel
- volatility3
- memory-forensics
- malware-analysis
- rkhunter
- forensics version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
- RS.AN-03
- DE.AE-02
- RS.MA-01 mitre_attack:
- T1014
- T1547.006
- T1564.001
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 rootkit artifacts.
Step 3: Cross-View Analysis
Compare module lists from /proc/modules, lsmod, and /sys/module to identify modules hidden from one view but present in another.
Step 4: Live System Scanning
Run rkhunter and chkrootkit to detect known rootkit signatures, suspicious files, and modified system binaries.
Expected Output
JSON report containing detected syscall hooks, hidden kernel modules, modified IDT entries, suspicious /proc discrepancies, and rkhunter findings.
Example Output
$ sudo python3 rootkit_analyzer.py --memory /evidence/linux-mem.lime --profile Ubuntu2204
Linux Kernel Rootkit Analysis Report
=====================================
Memory Image: /evidence/linux-mem.lime
Kernel Version: 5.15.0-91-generic (Ubuntu 22.04 LTS)
Analysis Time: 2024-01-18 09:15:32 UTC
[+] Scanning syscall table for hooks...
Syscall Table Base: 0xffffffff82200300
Total syscalls checked: 449
HOOKED SYSCALLS DETECTED:
┌─────────┬──────────────────┬──────────────────────┬──────────────────────┐
│ NR │ Syscall │ Expected Address │ Current Address │
├─────────┼──────────────────┼──────────────────────┼──────────────────────┤
│ 0 │ sys_read │ 0xffffffff8139a0e0 │ 0xffffffffc0a12000 │
│ 2 │ sys_open │ 0xffffffff8139b340 │ 0xffffffffc0a12180 │
│ 78 │ sys_getdents64 │ 0xffffffff813f5210 │ 0xffffffffc0a12300 │
│ 62 │ sys_kill │ 0xffffffff8110c4a0 │ 0xffffffffc0a12480 │
└─────────┴──────────────────┴──────────────────────┴──────────────────────┘
WARNING: 4 syscall hooks detected - rootkit behavior confirmed
[+] Checking for hidden kernel modules...
Loaded modules (lsmod): 147
Modules in kobject list: 149
HIDDEN MODULES:
- "netfilter_helper" at 0xffffffffc0a10000 (size: 12288)
- "kworker_sched" at 0xffffffffc0a14000 (size: 8192)
[+] Scanning /proc for discrepancies...
Processes in task_struct list: 234
Processes visible in /proc: 231
HIDDEN PROCESSES:
- PID 31337 cmd: "[kworker/0:3]" (disguised as kernel thread)
- PID 31442 cmd: "rsyslogd" (fake, real rsyslogd is PID 892)
- PID 31500 cmd: "" (unnamed process)
[+] Checking IDT entries...
IDT entries scanned: 256
Modified entries: 0 (clean)
[+] Running rkhunter scan...
Checking for known rootkits: 68 variants checked
Diamorphine rootkit: WARNING - signatures match
System binary checks:
/usr/bin/ps: MODIFIED (SHA-256 mismatch)
/usr/bin/netstat: MODIFIED (SHA-256 mismatch)
/usr/bin/ls: MODIFIED (SHA-256 mismatch)
/usr/sbin/ss: OK
[+] Network analysis...
Hidden connections (not in /proc/net/tcp):
ESTABLISHED 0.0.0.0:0 -> 198.51.100.47:4443 (PID 31337)
ESTABLISHED 0.0.0.0:0 -> 198.51.100.47:8080 (PID 31442)
Summary:
Rootkit Type: Loadable Kernel Module (LKM)
Probable Family: Diamorphine variant
Syscall Hooks: 4 (read, open, getdents64, kill)
Hidden Modules: 2
Hidden Processes: 3
Hidden Connections: 2 (C2: 198.51.100.47)
Modified Binaries: 3 (/usr/bin/ps, netstat, ls)
Risk Level: CRITICAL
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
