Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Investigate USB device connection history from Windows registry, event logs, and setupapi logs to track removable media usage and potential data exfiltration.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
# Mount forensic image and copy relevant artifacts
mount -o ro,loop,offset=$((2048*512)) /cases/case-2024-001/images/evidence.dd /mnt/evidence
mkdir -p /cases/case-2024-001/usb/
# Registry hives
cp /mnt/evidence/Windows/System32/config/SYSTEM /cases/case-2024-001/usb/
cp /mnt/evidence/Windows/System32/config/SOFTWARE /cases/case-2024-001/usb/
cp /mnt/evidence/Users/*/NTUSER.DAT /cases/case-2024-001/usb/
# SetupAPI logs (first connection timestamps)
cp /mnt/evidence/Windows/INF/setupapi.dev.log /cases/case-2024-001/usb/
# Event logs
cp /mnt/evidence/Windows/System32/winevt/Logs/System.evtx /cases/case-2024-001/usb/
cp "/mnt/evidence/Windows/System32/winevt/Logs/Microsoft-Windows-DriverFrameworks-UserMode%4Operational.evtx" \
/cases/case-2024-001/usb/ 2>/dev/null
cp "/mnt/evidence/Windows/System32/winevt/Logs/Microsoft-Windows-Partition%4Diagnostic.evtx" \
/cases/case-2024-001/usb/ 2>/dev/null
# Extract USBSTOR entries from SYSTEM hive
python3 << 'PYEOF'
from Registry import Registry
import json
reg = Registry.Registry("/cases/case-2024-001/usb/SYSTEM")
# Find current ControlSet
select = reg.open("Select")
current = select.value("Current").value()
controlset = f"ControlSet{current:03d}"
# Parse USBSTOR
usbstor_path = f"{controlset}\\Enum\\USBSTOR"
usbstor = reg.open(usbstor_path)
devices = []
print("=== USBSTOR DEVICES ===\n")
for device_class in usbstor.subkeys():
# Format: Disk&Ven_VENDOR&Prod_PRODUCT&Rev_REVISION
class_name = device_class.name()
parts = class_name.split('&')
vendor = parts[1].replace('Ven_', '') if len(parts) > 1 else 'Unknown'
product = parts[2].replace('Prod_', '') if len(parts) > 2 else 'Unknown'
revision = parts[3].replace('Rev_', '') if len(parts) > 3 else 'Unknown'
for instance in device_class.subkeys():
serial = instance.name()
last_write = instance.timestamp()
device_info = {
'vendor': vendor,
'product': product,
'revision': revision,
'serial': serial,
'last_connected': str(last_write),
}
# Get friendly name if available
try:
friendly = instance.value("FriendlyName").value()
device_info['friendly_name'] = friendly
except:
pass
# Get device parameters
try:
params = instance.subkey("Device Parameters")
try:
device_info['class_guid'] = params.value("ClassGUID").value()
except:
pass
except:
pass
devices.append(device_info)
print(f"Device: {vendor} {product}")
print(f" Serial: {serial}")
print(f" Last Connected: {last_write}")
print(f" Friendly Name: {device_info.get('friendly_name', 'N/A')}")
print()
# Save results
with open('/cases/case-2024-001/analysis/usb_devices.json', 'w') as f:
json.dump(devices, f, indent=2)
print(f"\nTotal USB storage devices found: {len(devices)}")
PYEOF
# Parse MountedDevices from SYSTEM hive
python3 << 'PYEOF'
from Registry import Registry
import struct
reg = Registry.Registry("/cases/case-2024-001/usb/SYSTEM")
mounted = reg.open("MountedDevices")
print("=== MOUNTED DEVICES (Drive Letter Assignments) ===\n")
for value in mounted.values():
name = value.name()
data = value.value()
if name.startswith("\\DosDevices\\"):
drive_letter = name.replace("\\DosDevices\\", "")
if len(data) > 24:
# USB device - contains device path string
try:
device_path = data.decode('utf-16-le').strip('\x00')
if 'USBSTOR' in device_path or 'USB#' in device_path:
print(f" {drive_letter} -> {device_path}")
except:
pass
else:
# Fixed disk - contains disk signature + offset
disk_sig = struct.unpack('<I', data[0:4])[0]
offset = struct.unpack('<Q', data[4:12])[0]
print(f" {drive_letter} -> Disk Signature: 0x{disk_sig:08X}, Offset: {offset}")
PYEOF
# Parse user MountPoints2 (which user accessed which devices)
python3 << 'PYEOF'
from Registry import Registry
import os, glob
print("\n=== USER MOUNT POINTS (MountPoints2) ===\n")
for ntuser in glob.glob("/cases/case-2024-001/usb/NTUSER*.DAT"):
try:
reg = Registry.Registry(ntuser)
mp2 = reg.open("Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\MountPoints2")
print(f"User hive: {os.path.basename(ntuser)}")
for key in mp2.subkeys():
guid = key.name()
last_write = key.timestamp()
if '{' in guid:
print(f" Volume: {guid} | Last accessed: {last_write}")
print()
except Exception as e:
print(f" Error parsing {ntuser}: {e}")
PYEOF
# Parse setupapi.dev.log for USB device first-install timestamps
python3 << 'PYEOF'
import re
print("=== SETUPAPI USB DEVICE INSTALLATIONS ===\n")
with open('/cases/case-2024-001/usb/setupapi.dev.log', 'r', errors='ignore') as f:
content = f.read()
# Find USB device installation sections
pattern = r'>>>\s+\[Device Install.*?\n.*?Section start (\d{4}/\d{2}/\d{2} \d{2}:\d{2}:\d{2}).*?\n(.*?)<<<'
matches = re.findall(pattern, content, re.DOTALL)
usb_installs = []
for timestamp, section in matches:
if 'USBSTOR' in section or 'USB\\VID' in section:
# Extract device ID
dev_match = re.search(r'(USBSTOR\\[^\s]+|USB\\VID_\w+&PID_\w+[^\s]*)', section)
if dev_match:
device_id = dev_match.group(1)
usb_installs.append({
'first_install': timestamp,
'device_id': device_id
})
print(f" {timestamp} | {device_id}")
print(f"\nTotal USB installations found: {len(usb_installs)}")
PYEOF
# Parse Windows Event Logs for USB events
# Event IDs: 2003, 2010, 2100, 2102 (DriverFrameworks-UserMode)
# Event IDs: 6416 (Security - new external device recognized)
python3 << 'PYEOF'
import json
from evtx import PyEvtxParser
try:
parser = PyEvtxParser("/cases/case-2024-001/usb/System.evtx")
print("\n=== SYSTEM EVENT LOG USB EVENTS ===\n")
for record in parser.records_json():
data = json.loads(record['data'])
event_id = str(data['Event']['System']['EventID'])
# USB device connection events
if event_id in ('20001', '20003', '10000', '10100'):
timestamp = data['Event']['System']['TimeCreated']['#attributes']['SystemTime']
event_data = data['Event'].get('UserData', data['Event'].get('EventData', {}))
print(f" [{timestamp}] EventID {event_id}: {json.dumps(event_data, default=str)[:200]}")
except Exception as e:
print(f"Error: {e}")
PYEOF
# Compile all USB evidence into a unified timeline
python3 << 'PYEOF'
import json, csv
timeline = []
# Load USBSTOR data
with open('/cases/case-2024-001/analysis/usb_devices.json') as f:
devices = json.load(f)
for device in devices:
timeline.append({
'timestamp': device['last_connected'],
'source': 'USBSTOR Registry',
'device': f"{device['vendor']} {device['product']}",
'serial': device['serial'],
'event': 'Last Connected',
'detail': device.get('friendly_name', '')
})
# Sort chronologically
timeline.sort(key=lambda x: x['timestamp'])
# Write timeline CSV
with open('/cases/case-2024-001/analysis/usb_timeline.csv', 'w', newline='') as f:
writer = csv.DictWriter(f, fieldnames=['timestamp', 'source', 'device', 'serial', 'event', 'detail'])
writer.writeheader()
writer.writerows(timeline)
print(f"USB Timeline: {len(timeline)} events written to usb_timeline.csv")
# Print summary
print("\n=== USB DEVICE SUMMARY ===")
for entry in timeline:
print(f" {entry['timestamp']} | {entry['device']} | {entry['serial'][:20]} | {entry['event']}")
PYEOF
| Concept | Description |
|---|---|
| USBSTOR | Registry key storing USB mass storage device identification and connection data |
| VID/PID | Vendor ID and Product ID uniquely identifying USB device manufacturer and model |
| Device serial number | Unique identifier for individual USB devices (some devices share serials) |
| MountedDevices | Registry key mapping volume GUIDs and drive letters to physical devices |
| MountPoints2 | Per-user registry key showing which volumes a user accessed |
| SetupAPI log | Windows driver installation log recording first-time device connections |
| DeviceContainers | Registry key in SOFTWARE hive with device metadata and timestamps |
| EMDMgmt | Registry key tracking ReadyBoost-compatible devices with serial numbers and timestamps |
| Tool | Purpose |
|---|---|
| USB Forensic Tracker | Specialized tool for USB device history extraction |
| USBDeview | NirSoft tool listing all USB devices connected to a system |
| RegRipper (usbstor plugin) | Automated USB artifact extraction from registry hives |
| Registry Explorer | Interactive registry analysis for USB-related keys |
| KAPE | Automated collection of USB-related artifacts |
| Plaso/log2timeline | Timeline creation including USB connection events |
| FTK Imager | Forensic imaging including removable media |
| Velociraptor | Endpoint agent with USB device history hunting artifacts |
Scenario 1: Data Exfiltration by Departing Employee Extract USBSTOR entries to identify all USB devices ever connected, correlate device serial numbers with MountPoints2 to confirm user access, cross-reference timestamps with file access logs and jump list recent files, check for large file copy patterns in USN journal.
Scenario 2: Unauthorized Device on Secure System Audit all USBSTOR entries against approved device list, identify unauthorized devices by VID/PID not matching corporate-approved hardware, determine when the unauthorized device was first and last connected, check if any data was transferred.
Scenario 3: Malware Delivery via USB Identify USB device connected just before malware execution (Prefetch timestamps), extract the device serial and vendor information, check if autorun was enabled for the device, look for executable launch from the removable drive letter in Prefetch and ShimCache.
Scenario 4: Tracking a Specific USB Drive Across Multiple Systems Search for the same device serial number in USBSTOR across all forensic images, build a map of which systems the drive was connected to and when, identify the chronological path of the device through the organization, correlate with network share access logs.
USB Device History Analysis:
System: DESKTOP-ABC123 (Windows 10 Pro)
Total USB Storage Devices: 12
Analysis Sources: USBSTOR, MountedDevices, MountPoints2, SetupAPI, Event Logs
Device Inventory:
1. Kingston DataTraveler 3.0 (Serial: 0019E06B4521A2B0)
First Connected: 2024-01-10 09:15:32 (SetupAPI)
Last Connected: 2024-01-18 14:30:00 (USBSTOR)
Drive Letter: E:
User Access: suspect_user (MountPoints2)
2. WD My Passport (Serial: 575834314131363035)
First Connected: 2024-01-15 20:00:00
Last Connected: 2024-01-15 23:45:00
Drive Letter: F:
User Access: suspect_user
Suspicious Findings:
- Kingston drive connected 15 times during investigation period
- WD Passport connected only once, late evening (unusual hours)
- Unknown device (VID_1234&PID_5678) connected 2024-01-17, no matching approved device
Timeline: /cases/case-2024-001/analysis/usb_timeline.csv
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概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。