external/anthropic-cybersecurity-skills/skills/analyzing-windows-shellbag-artifacts/SKILL.md
Analyze Windows Shellbag (BagMRU) registry artifacts with SBECmd and Shellbags Explorer to reconstruct folder browsing activity and prove user interaction with directories, including removable media and network shares, even after the folders are deleted. Use when reconstructing a user's folder access history or proving access to a since-removed directory in DFIR work.
npx skillsauth add seikaikyo/dash-skills analyzing-windows-shellbag-artifactsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Shellbags are Windows registry artifacts that track how users interact with folders through Windows Explorer, storing view settings such as icon size, window position, sort order, and view mode. From a forensic perspective, Shellbags provide definitive evidence of folder access -- even folders that no longer exist on the system. When a user browses to a folder via Windows Explorer, the Open/Save dialog, or the Control Panel, a Shellbag entry is created or updated in the user's registry hive. These entries persist after folder deletion, drive disconnection, and even across user profile resets, making them invaluable for proving that a user navigated to specific directories on local drives, USB devices, network shares, or zip archives.
| Hive | Key Path | Stores | |------|---------|--------| | NTUSER.DAT | Software\Microsoft\Windows\Shell\BagMRU | Folder hierarchy tree | | NTUSER.DAT | Software\Microsoft\Windows\Shell\Bags | View settings per folder | | UsrClass.dat | Local Settings\Software\Microsoft\Windows\Shell\BagMRU | Desktop/Explorer shell | | UsrClass.dat | Local Settings\Software\Microsoft\Windows\Shell\Bags | Additional view settings |
The BagMRU key contains a hierarchical tree of numbered subkeys representing the directory structure. Each subkey value contains a Shell Item (SHITEMID) binary blob encoding the folder identity:
Each Shell Item contains:
# Parse shellbags from a directory of registry hives
SBECmd.exe -d "C:\Evidence\Registry" --csv C:\Output --csvf shellbags.csv
# Parse from a live system (requires admin)
SBECmd.exe --live --csv C:\Output --csvf live_shellbags.csv
# Key output columns:
# AbsolutePath - Full reconstructed path
# CreatedOn - When the folder was first browsed
# ModifiedOn - When view settings were last changed
# AccessedOn - Last access timestamp
# ShellType - Type of shell item (Directory, Drive, Network, etc.)
# Value - Raw shell item data
# Launch GUI tool for interactive analysis
ShellBagsExplorer.exe
# Load registry hives: File > Load Hive
# Navigate the tree structure to see folder hierarchy
# Right-click entries for detailed shell item properties
Shellbag Path: My Computer\E:\Confidential\Project_Files
ShellType: Directory (on removable volume)
CreatedOn: 2025-03-15 09:30:00 UTC
This proves the user navigated to E:\Confidential\Project_Files
via Windows Explorer, even if the USB drive is no longer connected.
The volume letter E: and directory timestamps can be correlated
with USBSTOR and MountPoints2 registry entries.
Shellbag Path: \\FileServer01\Finance\Q4_Reports
ShellType: Network Location
AccessedOn: 2025-02-20 14:15:00 UTC
This proves the user browsed to a network share, even if
the share has been decommissioned or access revoked.
Shellbag Path: C:\Users\suspect\Documents\Exfiltration_Staging
ShellType: Directory
CreatedOn: 2025-01-10 08:00:00 UTC
Even though C:\Users\suspect\Documents\Exfiltration_Staging
no longer exists, the Shellbag entry proves the user
created and navigated to this folder.
$ SBECmd.exe -d "C:\Evidence\Users\jsmith" --csv /analysis/shellbag_output
SBECmd v2.1.0 - ShellBags Explorer (Command Line)
====================================================
Processing hives for user: jsmith
NTUSER.DAT: C:\Evidence\Users\jsmith\NTUSER.DAT
UsrClass.dat: C:\Evidence\Users\jsmith\AppData\Local\Microsoft\Windows\UsrClass.dat
[+] NTUSER.DAT shellbag entries: 456
[+] UsrClass.dat shellbag entries: 1,234
[+] Total shellbag entries: 1,690
--- Folder Access Timeline (Incident Window) ---
Last Accessed (UTC) | Folder Path | Type | Access Count
------------------------|---------------------------------------------------------|-------------|-------------
2024-01-15 14:34:05 | C:\Users\jsmith\Downloads | File System | 45
2024-01-15 14:36:25 | C:\ProgramData\Updates | File System | 3
2024-01-15 15:05:00 | \\FILESERV01\Finance | Network | 2
2024-01-15 15:12:30 | \\FILESERV01\Finance\Q4_Reports | Network | 1
2024-01-15 15:30:00 | E:\ | Removable | 4
2024-01-15 15:30:45 | E:\Backup | Removable | 3
2024-01-15 15:31:20 | E:\Backup\Corporate_Data | Removable | 2
2024-01-15 16:12:45 | \\FILESERV01\HR\Employees | Network | 1
2024-01-15 16:15:00 | \\FILESERV01\HR\Employees\Records_2024 | Network | 1
2024-01-16 02:35:00 | C:\Windows\Temp | File System | 5
2024-01-17 02:44:00 | C:\ProgramData\svc | File System | 2
2024-01-18 01:10:00 | C:\Users\jsmith\AppData\Local\Temp | File System | 8
--- Network Share Access ---
\\FILESERV01\Finance First: 2023-09-10 Last: 2024-01-15
\\FILESERV01\Finance\Q4_Reports First: 2024-01-15 Last: 2024-01-15 (NEW)
\\FILESERV01\HR\Employees First: 2024-01-15 Last: 2024-01-15 (NEW)
\\DC01\SYSVOL First: 2023-03-15 Last: 2024-01-16 (anomalous access time)
--- Removable Device Access ---
E:\ (USB Drive)
Volume Name: BACKUP_DRIVE
First Accessed: 2024-01-15 15:30:00 UTC
Last Accessed: 2024-01-15 15:45:22 UTC
Folders Browsed: 3 (E:\, E:\Backup, E:\Backup\Corporate_Data)
--- Deleted/No Longer Existing Paths ---
C:\ProgramData\Updates\ (folder deleted, shellbag persists)
C:\ProgramData\svc\ (folder deleted, shellbag persists)
C:\Windows\Temp\tools\ (folder deleted, shellbag persists)
Summary:
Total unique folders accessed: 1,690
Network shares accessed: 4 (2 newly accessed during incident)
Removable media: 1 USB device (data staging suspected)
Deleted folder evidence: 3 paths (anti-forensics indicator)
CSV exported to: /analysis/shellbag_output/
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.