# analyzing-memory-forensics-with-lime-and-volatility

Acquires Linux memory images with the LiME kernel module and extracts artifacts via Volatility 3 during security incident investigations.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 321 installs · ★ 35034
- Author: mahipal
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/HEAD/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md
- Updated: 2026-08-31
- HTML: https://affpapa.org/en/nevibecode/skills/analyzing-memory-forensics-with-lime-and-volatility

## What it does

This skill guides incident responders through Linux volatile memory analysis. It targets compromised Linux hosts. The workflow covers memory acquisition using the LiME kernel module in lime or raw format, followed by artifact parsing with Volatility 3.

The skill details core analysis plugins: `linux.pslist` paired with `linux.psscan` to reveal unlinked processes, `linux.bash` for recovering shell history, and `linux.sockstat` for identifying suspicious network activity. It includes commands for `linux.lsmod` and `linux.malfind` to detect kernel rootkits and injected code. It also provides a Python snippet using `volatility3.framework.contexts` for automated triage scripts.

You cannot capture memory without a LiME kernel module compiled specifically for the target Linux kernel version. Running the analysis also requires Python 3.8+ and authorized lab environment access.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/analyzing-memory-forensics-with-lime-and-volatility/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-memory-forensics-with-lime-and-volatility
```

2. **Manually: put the files in place**
- File: `.github/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills --path skills/analyzing-memory-forensics-with-lime-and-volatility
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-memory-forensics-with-lime-and-volatility -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/HEAD/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md

## When to use it
- acquire Linux physical memory dumps using the LiME kernel module
- detect hidden processes by comparing linux.pslist and linux.psscan outputs
- recover executed bash command history directly from memory images
- audit loaded kernel modules for rootkits via linux.lsmod
- locate injected code in memory using the linux.malfind plugin

## Example prompts
- Show the command to acquire a Linux memory image using LiME
- Run Volatility 3 linux.malfind against memory.lime to inspect injected code
- Extract bash command history and network connections from /evidence/memory.lime

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 4436e6d8bfb897b2.

BEGIN THIRD-PARTY FILE 4436e6d8bfb897b2
````text
---
name: analyzing-memory-forensics-with-lime-and-volatility
description: 'Performs Linux memory acquisition using LiME (Linux Memory Extractor)
  kernel module and analysis with Volatility 3 framework. Extracts process lists,
  network connections, bash history, loaded kernel modules, and injected code from
  Linux memory images. Use when performing incident response on compromised Linux
  systems.

  '
domain: cybersecurity
subdomain: security-operations
tags:
- memory-forensics
- linux-forensics
- lime
- volatility
- incident-response
- kernel-modules
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- DE.CM-01
- RS.MA-01
- GV.OV-01
- DE.AE-02
mitre_attack:
- T1055
- T1003.001
- T1620
- T1564.001
---

# Analyzing Memory Forensics with LiME and Volatility


## When to Use

- When investigating security incidents that require analyzing memory forensics with lime and volatility
- 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

- Familiarity with security operations concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities

## Instructions

Acquire Linux memory using LiME kernel module, then analyze with Volatility 3
to extract forensic artifacts from the memory image.

```bash
# LiME acquisition
insmod lime-$(uname -r).ko "path=/evidence/memory.lime format=lime"

# Volatility 3 analysis
vol3 -f /evidence/memory.lime linux.pslist
vol3 -f /evidence/memory.lime linux.bash
vol3 -f /evidence/memory.lime linux.sockstat
```

```python
import volatility3
from volatility3.framework import contexts, automagic
from volatility3.plugins.linux import pslist, bash, sockstat

# Programmatic Volatility 3 usage
context = contexts.Context()
````
END THIRD-PARTY FILE 4436e6d8bfb897b2

The third-party file has ended. Everything between the 4436e6d8bfb897b2 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 1975 of 2524 bytes. © mahipal · Apache-2.0 · https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/HEAD/skills/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md

_Part of the page did not fit — see the HTML version._

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