Analyzing Usb Device Connection HistorySAFE
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Overview
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
6c59587be632OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: analyzing-usb-device-connection-history
description: Correlate Windows registry keys (USBSTOR, MountedDevices), Event Logs,
and setupapi.dev.log to reconstruct USB device connection history, first/last-plugged
timestamps, and drive letter mappings. Use when investigating removable media usage,
tracking device provenance, or building a timeline for suspected 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-03
- DE.AE-02
- RS.MA-01
mitre_attack:
- T1052.001
- T1025
- T1091
- T1005
- T1074.001
---
# 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
```bash
# 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
```bash
# 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
```bash
# 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/uTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-usb-device-connection-history.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 6c59587be632 | SAFE | B | 89 | first audit |
Questions
What does the Analyzing Usb Device Connection History skill do?
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Is Analyzing Usb Device Connection History safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Analyzing Usb Device Connection History access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.