memory-forensics-volatility

What this skill does

# 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](../traffic-analysis-pcap/SKILL.md) for correlating network artifacts with memory findings
- [steganography-techniques](../steganography-techniques/SKILL.md) if hidden data suspected in extracted files
- [windows-privilege-escalation](../windows-privilege-escalation/SKILL.md) for understanding post-exploitation artifacts in memory

### Quick Reference

Also load [VOLATILITY_CHEATSHEET.md](./VOLATILITY_CHEATSHEET.md) when you need:
- Vol2 vs Vol3 command comparison table
- Common plugin sequences for specific investigation types

---

## 1. MEMORY ACQUISITION

### Linux

```bash
# 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

```bash
# 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

```bash
# 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

| Concept | Volatility 2 | Volatility 3 |
|---|---|---|
| Profile system | `--profile=Win10x64_19041` | Auto-detected (symbol tables) |
| Image info | `imageinfo` | `windows.info` / `linux.info` |
| Process list | `pslist` | `windows.pslist` |
| Network | `netscan` / `connections` | `windows.netscan` / `windows.netstat` |
| DLLs | `dlllist` | `windows.dlllist` |
| Injection | `malfind` | `windows.malfind` |
| Hashes | `hashdump` | `windows.hashdump` |
| Files | `filescan` | `windows.filescan` |
| Registry | `hivelist` / `printkey` | `windows.registry.hivelist` / `windows.registry.printkey` |
| Install | `pip2 install volatility` | `pip3 install volatility3` |

---

## 3. ANALYSIS METHODOLOGY

### Step 1: Identify OS

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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)

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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

```bash
# 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)

```bash
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

| Indicator | Detection Method | What It Means |
|---|---|---|
| Process in psscan but not pslist | Compare pslist vs psscan | DKOM — process hiding |
| Unexpected parent-child | pstree analysis | e.g., svchost spawned by cmd.exe |
| MZ header in non-image memory | malfind | Reflective DLL / PE injection |
| RWX memory without backing file | malfind | Shellcode injection |
| DLL unlinked from all PEB lists | ldrmodules (all False) | Stealth DLL loading |
| svchost.exe not child of services.exe | pstree | Fake svchost (malware) |
| Unusual network connections | netscan + PID correlation | C2 communication |
| Hooking in SSDT/IDT | ssdt / idt plugins | Rootkit |
| Modified kernel objects | linux_check_syscall | Linux 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