memory-forensics

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

242 stars

Best use case

memory-forensics is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "memory-forensics" skill to help with this workflow task. Context: Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/memory-forensics/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/sickn33/memory-forensics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/memory-forensics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How memory-forensics Compares

Feature / Agentmemory-forensicsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Memory Forensics

Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.

## Use this skill when

- Working on memory forensics tasks or workflows
- Needing guidance, best practices, or checklists for memory forensics

## Do not use this skill when

- The task is unrelated to memory forensics
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

## Memory Acquisition

### Live Acquisition Tools

#### Windows
```powershell
# WinPmem (Recommended)
winpmem_mini_x64.exe memory.raw

# DumpIt
DumpIt.exe

# Belkasoft RAM Capturer
# GUI-based, outputs raw format

# Magnet RAM Capture
# GUI-based, outputs raw format
```

#### Linux
```bash
# LiME (Linux Memory Extractor)
sudo insmod lime.ko "path=/tmp/memory.lime format=lime"

# /dev/mem (limited, requires permissions)
sudo dd if=/dev/mem of=memory.raw bs=1M

# /proc/kcore (ELF format)
sudo cp /proc/kcore memory.elf
```

#### macOS
```bash
# osxpmem
sudo ./osxpmem -o memory.raw

# MacQuisition (commercial)
```

### Virtual Machine Memory

```bash
# VMware: .vmem file is raw memory
cp vm.vmem memory.raw

# VirtualBox: Use debug console
vboxmanage debugvm "VMName" dumpvmcore --filename memory.elf

# QEMU
virsh dump <domain> memory.raw --memory-only

# Hyper-V
# Checkpoint contains memory state
```

## Volatility 3 Framework

### Installation and Setup

```bash
# Install Volatility 3
pip install volatility3

# Install symbol tables (Windows)
# Download from https://downloads.volatilityfoundation.org/volatility3/symbols/

# Basic usage
vol -f memory.raw <plugin>

# With symbol path
vol -f memory.raw -s /path/to/symbols windows.pslist
```

### Essential Plugins

#### Process Analysis
```bash
# List processes
vol -f memory.raw windows.pslist

# Process tree (parent-child relationships)
vol -f memory.raw windows.pstree

# Hidden process detection
vol -f memory.raw windows.psscan

# Process memory dumps
vol -f memory.raw windows.memmap --pid <PID> --dump

# Process environment variables
vol -f memory.raw windows.envars --pid <PID>

# Command line arguments
vol -f memory.raw windows.cmdline
```

#### Network Analysis
```bash
# Network connections
vol -f memory.raw windows.netscan

# Network connection state
vol -f memory.raw windows.netstat
```

#### DLL and Module Analysis
```bash
# Loaded DLLs per process
vol -f memory.raw windows.dlllist --pid <PID>

# Find hidden/injected DLLs
vol -f memory.raw windows.ldrmodules

# Kernel modules
vol -f memory.raw windows.modules

# Module dumps
vol -f memory.raw windows.moddump --pid <PID>
```

#### Memory Injection Detection
```bash
# Detect code injection
vol -f memory.raw windows.malfind

# VAD (Virtual Address Descriptor) analysis
vol -f memory.raw windows.vadinfo --pid <PID>

# Dump suspicious memory regions
vol -f memory.raw windows.vadyarascan --yara-rules rules.yar
```

#### Registry Analysis
```bash
# List registry hives
vol -f memory.raw windows.registry.hivelist

# Print registry key
vol -f memory.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"

# Dump registry hive
vol -f memory.raw windows.registry.hivescan --dump
```

#### File System Artifacts
```bash
# Scan for file objects
vol -f memory.raw windows.filescan

# Dump files from memory
vol -f memory.raw windows.dumpfiles --pid <PID>

# MFT analysis
vol -f memory.raw windows.mftscan
```

### Linux Analysis

```bash
# Process listing
vol -f memory.raw linux.pslist

# Process tree
vol -f memory.raw linux.pstree

# Bash history
vol -f memory.raw linux.bash

# Network connections
vol -f memory.raw linux.sockstat

# Loaded kernel modules
vol -f memory.raw linux.lsmod

# Mount points
vol -f memory.raw linux.mount

# Environment variables
vol -f memory.raw linux.envars
```

### macOS Analysis

```bash
# Process listing
vol -f memory.raw mac.pslist

# Process tree
vol -f memory.raw mac.pstree

# Network connections
vol -f memory.raw mac.netstat

# Kernel extensions
vol -f memory.raw mac.lsmod
```

## Analysis Workflows

### Malware Analysis Workflow

```bash
# 1. Initial process survey
vol -f memory.raw windows.pstree > processes.txt
vol -f memory.raw windows.pslist > pslist.txt

# 2. Network connections
vol -f memory.raw windows.netscan > network.txt

# 3. Detect injection
vol -f memory.raw windows.malfind > malfind.txt

# 4. Analyze suspicious processes
vol -f memory.raw windows.dlllist --pid <PID>
vol -f memory.raw windows.handles --pid <PID>

# 5. Dump suspicious executables
vol -f memory.raw windows.pslist --pid <PID> --dump

# 6. Extract strings from dumps
strings -a pid.<PID>.exe > strings.txt

# 7. YARA scanning
vol -f memory.raw windows.yarascan --yara-rules malware.yar
```

### Incident Response Workflow

```bash
# 1. Timeline of events
vol -f memory.raw windows.timeliner > timeline.csv

# 2. User activity
vol -f memory.raw windows.cmdline
vol -f memory.raw windows.consoles

# 3. Persistence mechanisms
vol -f memory.raw windows.registry.printkey \
    --key "Software\Microsoft\Windows\CurrentVersion\Run"

# 4. Services
vol -f memory.raw windows.svcscan

# 5. Scheduled tasks
vol -f memory.raw windows.scheduled_tasks

# 6. Recent files
vol -f memory.raw windows.filescan | grep -i "recent"
```

## Data Structures

### Windows Process Structures

```c
// EPROCESS (Executive Process)
typedef struct _EPROCESS {
    KPROCESS Pcb;                    // Kernel process block
    EX_PUSH_LOCK ProcessLock;
    LARGE_INTEGER CreateTime;
    LARGE_INTEGER ExitTime;
    // ...
    LIST_ENTRY ActiveProcessLinks;   // Doubly-linked list
    ULONG_PTR UniqueProcessId;       // PID
    // ...
    PEB* Peb;                        // Process Environment Block
    // ...
} EPROCESS;

// PEB (Process Environment Block)
typedef struct _PEB {
    BOOLEAN InheritedAddressSpace;
    BOOLEAN ReadImageFileExecOptions;
    BOOLEAN BeingDebugged;           // Anti-debug check
    // ...
    PVOID ImageBaseAddress;          // Base address of executable
    PPEB_LDR_DATA Ldr;              // Loader data (DLL list)
    PRTL_USER_PROCESS_PARAMETERS ProcessParameters;
    // ...
} PEB;
```

### VAD (Virtual Address Descriptor)

```c
typedef struct _MMVAD {
    MMVAD_SHORT Core;
    union {
        ULONG LongFlags;
        MMVAD_FLAGS VadFlags;
    } u;
    // ...
    PVOID FirstPrototypePte;
    PVOID LastContiguousPte;
    // ...
    PFILE_OBJECT FileObject;
} MMVAD;

// Memory protection flags
#define PAGE_EXECUTE           0x10
#define PAGE_EXECUTE_READ      0x20
#define PAGE_EXECUTE_READWRITE 0x40
#define PAGE_EXECUTE_WRITECOPY 0x80
```

## Detection Patterns

### Process Injection Indicators

```python
# Malfind indicators
# - PAGE_EXECUTE_READWRITE protection (suspicious)
# - MZ header in non-image VAD region
# - Shellcode patterns at allocation start

# Common injection techniques
# 1. Classic DLL Injection
#    - VirtualAllocEx + WriteProcessMemory + CreateRemoteThread

# 2. Process Hollowing
#    - CreateProcess (SUSPENDED) + NtUnmapViewOfSection + WriteProcessMemory

# 3. APC Injection
#    - QueueUserAPC targeting alertable threads

# 4. Thread Execution Hijacking
#    - SuspendThread + SetThreadContext + ResumeThread
```

### Rootkit Detection

```bash
# Compare process lists
vol -f memory.raw windows.pslist > pslist.txt
vol -f memory.raw windows.psscan > psscan.txt
diff pslist.txt psscan.txt  # Hidden processes

# Check for DKOM (Direct Kernel Object Manipulation)
vol -f memory.raw windows.callbacks

# Detect hooked functions
vol -f memory.raw windows.ssdt  # System Service Descriptor Table

# Driver analysis
vol -f memory.raw windows.driverscan
vol -f memory.raw windows.driverirp
```

### Credential Extraction

```bash
# Dump hashes (requires hivelist first)
vol -f memory.raw windows.hashdump

# LSA secrets
vol -f memory.raw windows.lsadump

# Cached domain credentials
vol -f memory.raw windows.cachedump

# Mimikatz-style extraction
# Requires specific plugins/tools
```

## YARA Integration

### Writing Memory YARA Rules

```yara
rule Suspicious_Injection
{
    meta:
        description = "Detects common injection shellcode"

    strings:
        // Common shellcode patterns
        $mz = { 4D 5A }
        $shellcode1 = { 55 8B EC 83 EC }  // Function prologue
        $api_hash = { 68 ?? ?? ?? ?? 68 ?? ?? ?? ?? E8 }  // Push hash, call

    condition:
        $mz at 0 or any of ($shellcode*)
}

rule Cobalt_Strike_Beacon
{
    meta:
        description = "Detects Cobalt Strike beacon in memory"

    strings:
        $config = { 00 01 00 01 00 02 }
        $sleep = "sleeptime"
        $beacon = "%s (admin)" wide

    condition:
        2 of them
}
```

### Scanning Memory

```bash
# Scan all process memory
vol -f memory.raw windows.yarascan --yara-rules rules.yar

# Scan specific process
vol -f memory.raw windows.yarascan --yara-rules rules.yar --pid 1234

# Scan kernel memory
vol -f memory.raw windows.yarascan --yara-rules rules.yar --kernel
```

## String Analysis

### Extracting Strings

```bash
# Basic string extraction
strings -a memory.raw > all_strings.txt

# Unicode strings
strings -el memory.raw >> all_strings.txt

# Targeted extraction from process dump
vol -f memory.raw windows.memmap --pid 1234 --dump
strings -a pid.1234.dmp > process_strings.txt

# Pattern matching
grep -E "(https?://|[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3})" all_strings.txt
```

### FLOSS for Obfuscated Strings

```bash
# FLOSS extracts obfuscated strings
floss malware.exe > floss_output.txt

# From memory dump
floss pid.1234.dmp
```

## Best Practices

### Acquisition Best Practices

1. **Minimize footprint**: Use lightweight acquisition tools
2. **Document everything**: Record time, tool, and hash of capture
3. **Verify integrity**: Hash memory dump immediately after capture
4. **Chain of custody**: Maintain proper forensic handling

### Analysis Best Practices

1. **Start broad**: Get overview before deep diving
2. **Cross-reference**: Use multiple plugins for same data
3. **Timeline correlation**: Correlate memory findings with disk/network
4. **Document findings**: Keep detailed notes and screenshots
5. **Validate results**: Verify findings through multiple methods

### Common Pitfalls

- **Stale data**: Memory is volatile, analyze promptly
- **Incomplete dumps**: Verify dump size matches expected RAM
- **Symbol issues**: Ensure correct symbol files for OS version
- **Smear**: Memory may change during acquisition
- **Encryption**: Some data may be encrypted in memory

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