analyzing-usb-device-connection-history▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Investigate USB device connection history from Windows registry, event logs, and setupapi logs to track removable media usage and potential data exfiltration.
| name | analyzing-usb-device-connection-history |
| description | Investigate USB device connection history from Windows registry, event logs, and setupapi logs to track removable media usage and potential data exfiltration. |
| domain | cybersecurity |
| subdomain | digital-forensics |
| tags | - forensics - usb-forensics - removable-media - registry-analysis - data-exfiltration - device-history |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - RS.AN-01 - RS.AN-03 - DE.AE-02 - RS.MA-01 |
Analyzing USB Device Connection History
When to Use
- When investigating potential data exfiltration via removable storage devices
- During insider threat investigations to track USB device usage
- For compliance audits verifying removable media policy enforcement
- When correlating USB connections with file access and copy events
- For establishing a timeline of device connections during an incident
Prerequisites
- Forensic image or extracted registry hives and event logs
- Access to SYSTEM, SOFTWARE, and NTUSER.DAT registry hives
- SetupAPI logs (setupapi.dev.log)
- Windows Event Logs (System, Security, DriverFrameworks-UserMode)
- USBDeview, USB Forensic Tracker, or RegRipper
- Understanding of USB device identification (VID, PID, serial number)
Workflow
Step 1: Extract USB-Related Artifacts
# 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
Step 2: Parse USBSTOR Registry Key
# 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
Step 3: Extract Drive Letter Assignments and User Associations
# 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
Step 4: Extract First Connection Timestamps from SetupAPI
# 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
Step 5: Build USB Activity Timeline and Report
# 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
Key Concepts
| 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 |
Tools & Systems
| 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 |
Common Scenarios
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.
Output Format
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
How to use analyzing-usb-device-connection-history on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add analyzing-usb-device-connection-history
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches analyzing-usb-device-connection-history from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate analyzing-usb-device-connection-history. Access the skill through slash commands (e.g., /analyzing-usb-device-connection-history) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
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Ratings
4.8★★★★★72 reviews- ★★★★★Liam Choi· Dec 24, 2024
analyzing-usb-device-connection-history is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ishan Gupta· Dec 20, 2024
Solid pick for teams standardizing on skills: analyzing-usb-device-connection-history is focused, and the summary matches what you get after install.
- ★★★★★Sofia Martinez· Dec 20, 2024
We added analyzing-usb-device-connection-history from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Dec 8, 2024
Registry listing for analyzing-usb-device-connection-history matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Olivia Malhotra· Dec 8, 2024
We added analyzing-usb-device-connection-history from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Thomas· Dec 8, 2024
analyzing-usb-device-connection-history reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ama Anderson· Dec 4, 2024
analyzing-usb-device-connection-history is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Nov 27, 2024
Keeps context tight: analyzing-usb-device-connection-history is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Liam Haddad· Nov 27, 2024
analyzing-usb-device-connection-history fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aarav Martinez· Nov 27, 2024
analyzing-usb-device-connection-history has been reliable in day-to-day use. Documentation quality is above average for community skills.
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