yaklang/hack-skills2 files

Memory Forensics Volatility

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Specification
Skill ID
yaklang/hack-skills/memory-forensics-volatility
Publisher
yaklang
Repository
hack-skills
Installs
0
Files
2
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

yaklang/hack-skills/memory-forensics-volatilityInstalls these files
  • SKILL.md
  • VOLATILITY_CHEATSHEET.md

What this skill tells the agent

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

ConceptVolatility 2Volatility 3
Profile system--profile=Win10x64_19041Auto-detected (symbol tables)
Image infoimageinfowindows.info / linux.info
Process listpslistwindows.pslist
Networknetscan / connectionswindows.netscan / windows.netstat
DLLsdlllistwindows.dlllist
Injectionmalfindwindows.malfind
Hasheshashdumpwindows.hashdump
Filesfilescanwindows.filescan
Registryhivelist / printkeywindows.registry.hivelist / windows.registry.printkey
Installpip2 install volatilitypip3 install volatility3

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

IndicatorDetection MethodWhat It Means
Process in psscan but not pslistCompare pslist vs psscanDKOM — process hiding
Unexpected parent-childpstree analysise.g., svchost spawned by cmd.exe
MZ header in non-image memorymalfindReflective DLL / PE injection
RWX memory without backing filemalfindShellcode injection
DLL unlinked from all PEB listsldrmodules (all False)Stealth DLL loading
svchost.exe not child of services.exepstreeFake svchost (malware)
Unusual network connectionsnetscan + PID correlationC2 communication
Hooking in SSDT/IDTssdt / idt pluginsRootkit
Modified kernel objectslinux_check_syscallLinux rootkit

Normal Parent-Child Relationships (Windows)

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

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