SKILL: Memory Forensics — Expert Analysis Playbook

AI LOAD INSTRUCTION: Expert memory forensics techniques using Volatility 2 and 3. Covers memory acquisition, OS identification, process analysis (hidden process detection), network connections, DLL/module analysis, code injection detection (malfind), credential extraction, file carving, registry analysis, and timeline generation. Base models miss the Vol2/Vol3 command differences, malware indicator patterns, and Linux-specific memory analysis.

0. RELATED ROUTING

Before going deep, consider loading:

• traffic-analysis-pcap for correlating network artifacts with memory findings
• steganography-techniques if hidden data suspected in extracted files
• windows-privilege-escalation for understanding post-exploitation artifacts in memory

Quick Reference

Also load VOLATILITY_CHEATSHEET.md when you need:

• Vol2 vs Vol3 command comparison table
• Common plugin sequences for specific investigation types

1. MEMORY ACQUISITION

Linux

# LiME (Linux Memory Extractor) — kernel module
insmod lime.ko "path=/tmp/mem.lime format=lime"

# /proc/kcore (if available)
dd if=/proc/kcore of=/tmp/mem.raw bs=1M

# AVML (Microsoft's open-source)
./avml /tmp/mem.lime

Windows

# WinPmem
winpmem_mini_x64.exe memdump.raw

# FTK Imager (GUI) — capture memory to file

# DumpIt (single-click memory dump)
DumpIt.exe

# Comae (MagnetRAM)
MagnetRAMCapture.exe /output memdump.raw

Virtual Machines

# VMware: .vmem file in VM directory (suspend VM first)
# VirtualBox: VBoxManage debugvm "VM_NAME" dumpvmcore --filename mem.raw
# KVM/QEMU: virsh dump DOMAIN memdump --memory-only
# Hyper-V: checkpoint VM → inspect .bin files

2. VOLATILITY 2 vs 3

3. ANALYSIS METHODOLOGY

Step 1: Identify OS

# Vol2
vol.py -f mem.raw imageinfo
vol.py -f mem.raw kdbgscan

# Vol3
vol -f mem.raw windows.info
vol -f mem.raw banners.Banners

Step 2: Process Listing — Hidden Process Detection

# Vol2
vol.py -f mem.raw --profile=PROFILE pslist       # EPROCESS linked list
vol.py -f mem.raw --profile=PROFILE psscan       # pool tag scan (finds unlinked)
vol.py -f mem.raw --profile=PROFILE pstree       # parent-child hierarchy

# Vol3
vol -f mem.raw windows.pslist
vol -f mem.raw windows.psscan
vol -f mem.raw windows.pstree

Red flags: Process in psscan but not pslist = DKOM (Direct Kernel Object Manipulation) hiding.

Step 3: Network Connections

# Vol2
vol.py -f mem.raw --profile=PROFILE netscan      # TCP/UDP endpoints
vol.py -f mem.raw --profile=PROFILE connections   # XP/2003 only
vol.py -f mem.raw --profile=PROFILE connscan      # closed connections

# Vol3
vol -f mem.raw windows.netscan
vol -f mem.raw windows.netstat

Step 4: DLL / Module Analysis

# Vol2
vol.py -f mem.raw --profile=PROFILE dlllist -p PID
vol.py -f mem.raw --profile=PROFILE ldrmodules -p PID   # find unlinked DLLs

# Vol3
vol -f mem.raw windows.dlllist --pid PID

Red flags: DLL in dlllist but False in all three ldrmodules columns = reflective DLL injection.

Step 5: Code Injection Detection (Malfind)

# Vol2
vol.py -f mem.raw --profile=PROFILE malfind -p PID
vol.py -f mem.raw --profile=PROFILE malfind -D /tmp/dump/   # dump injected sections

# Vol3
vol -f mem.raw windows.malfind --pid PID

What malfind detects: Memory regions with PAGE_EXECUTE_READWRITE that don't map to a file on disk — classic shellcode/injection indicator.

Step 6: Credential Extraction

# Vol2
vol.py -f mem.raw --profile=PROFILE hashdump      # SAM hashes
vol.py -f mem.raw --profile=PROFILE lsadump       # LSA secrets
vol.py -f mem.raw --profile=PROFILE cachedump     # domain cached creds
vol.py -f mem.raw --profile=PROFILE mimikatz      # (plugin) plaintext creds

# Vol3
vol -f mem.raw windows.hashdump
vol -f mem.raw windows.lsadump
vol -f mem.raw windows.cachedump

Step 7: File Extraction

# Vol2
vol.py -f mem.raw --profile=PROFILE filescan | grep -i "password\|secret\|flag"
vol.py -f mem.raw --profile=PROFILE dumpfiles -Q OFFSET -D /tmp/dump/

# Vol3
vol -f mem.raw windows.filescan
vol -f mem.raw windows.dumpfiles --virtaddr OFFSET

Step 8: Registry Analysis

# Vol2
vol.py -f mem.raw --profile=PROFILE hivelist
vol.py -f mem.raw --profile=PROFILE printkey -K "Software\Microsoft\Windows\CurrentVersion\Run"
vol.py -f mem.raw --profile=PROFILE userassist    # program execution evidence

# Vol3
vol -f mem.raw windows.registry.hivelist
vol -f mem.raw windows.registry.printkey --key "Software\Microsoft\Windows\CurrentVersion\Run"

Step 9: Command History

# Vol2
vol.py -f mem.raw --profile=PROFILE cmdscan       # cmd.exe history
vol.py -f mem.raw --profile=PROFILE consoles       # full console output

# Vol3
vol -f mem.raw windows.cmdline

Step 10: Timeline Generation

# Vol2
vol.py -f mem.raw --profile=PROFILE timeliner --output=body --output-file=timeline.body
mactime -b timeline.body -d > timeline.csv

# Vol3
vol -f mem.raw timeliner.Timeliner

4. LINUX MEMORY ANALYSIS

# Vol2 (requires Linux profile)
vol.py -f mem.lime --profile=LinuxProfile linux_pslist
vol.py -f mem.lime --profile=LinuxProfile linux_pstree
vol.py -f mem.lime --profile=LinuxProfile linux_netstat
vol.py -f mem.lime --profile=LinuxProfile linux_bash        # bash history
vol.py -f mem.lime --profile=LinuxProfile linux_enumerate_files
vol.py -f mem.lime --profile=LinuxProfile linux_proc_maps -p PID
vol.py -f mem.lime --profile=LinuxProfile linux_malfind

# Vol3
vol -f mem.lime linux.pslist
vol -f mem.lime linux.pstree
vol -f mem.lime linux.bash
vol -f mem.lime linux.check_afinfo     # rootkit detection
vol -f mem.lime linux.check_syscall    # syscall hooking
vol -f mem.lime linux.tty_check        # TTY hooking

Building Linux Profiles (Vol2)

cd volatility/tools/linux
make
# Creates module.dwarf + System.map → zip as profile
zip LinuxProfile.zip module.dwarf /boot/System.map-$(uname -r)
# Place in volatility/plugins/overlays/linux/

5. MALWARE INDICATORS IN MEMORY

Normal Parent-Child Relationships (Windows)

System (4)
└── smss.exe
    └── csrss.exe
    └── wininit.exe
        └── services.exe
            └── svchost.exe (multiple)
            └── spoolsv.exe
        └── lsass.exe
    └── winlogon.exe
        └── explorer.exe
            └── user applications

6. DECISION TREE

Memory dump acquired — need to analyze
│
├── What OS?
│   ├── Windows → vol imageinfo / windows.info (§3 Step 1)
│   └── Linux → build profile or use Vol3 auto-detect (§4)
│
├── Malware investigation?
│   ├── Check processes: pslist vs psscan (hidden?) (§3 Step 2)
│   ├── Check parent-child: pstree (suspicious spawning?) (§5)
│   ├── Check injections: malfind (RWX memory?) (§3 Step 5)
│   ├── Check DLLs: ldrmodules (unlinked?) (§3 Step 4)
│   ├── Check network: netscan (C2 connections?) (§3 Step 3)
│   └── Extract suspicious files: dumpfiles (§3 Step 7)
│
├── Credential recovery?
│   ├── SAM hashes → hashdump (§3 Step 6)
│   ├── LSA secrets → lsadump (§3 Step 6)
│   ├── Cached domain creds → cachedump (§3 Step 6)
│   └── Plaintext passwords → mimikatz plugin (§3 Step 6)
│
├── Incident timeline?
│   ├── timeliner for comprehensive timeline (§3 Step 10)
│   ├── cmdscan / consoles for command history (§3 Step 9)
│   ├── userassist for program execution (§3 Step 8)
│   └── Cross-reference with PCAP timeline (→ traffic-analysis-pcap)
│
├── CTF / flag hunting?
│   ├── filescan + grep for flag patterns (§3 Step 7)
│   ├── cmdscan for typed flags/passwords (§3 Step 9)
│   ├── Clipboard: clipboard plugin
│   ├── Screenshots: screenshot plugin
│   └── Environment vars: envars plugin
│
└── Linux-specific?
    ├── linux_bash for shell history (§4)
    ├── linux_check_syscall for rootkit (§4)
    └── linux_netstat for connections (§4)