Analyzing Windows Shellbag ArtifactsSAFE
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 · 2026-10-07Install
Commands as the repository documents them. They are shown, not run.
pip install regipy
What 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-windows-shellbag-artifacts description: 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. domain: cybersecurity subdomain: digital-forensics tags: - shellbags - windows-registry - sbecmd - shellbags-explorer - folder-access - user-activity - removable-media - network-shares - bagmru - dfir version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - RS.AN-03 - DE.AE-02 - RS.MA-01 mitre_attack: - T1083 - T1074.001 - T1135 - T1025 - T1070.004 --- # Analyzing Windows Shellbag Artifacts ## Overview 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. ## When to Use - When investigating security incidents that require analyzing windows shellbag artifacts - When building detection rules or threat hunting queries for this domain - When SOC analysts need structured procedures for this analysis type - When validating security monitoring coverage for related attack techniques ## Prerequisites - Familiarity with digital forensics concepts and tools - Access to a test or lab environment for safe execution - Python 3.8+ with required dependencies installed - Appropriate authorization for any testing activities ## Registry Locations ### Windows 7/8/10/11 | 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 | ### BagMRU Structure 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: - **Root (BagMRU)**: Desktop namespace root - **BagMRU\0**: Typically "My Computer" - **BagMRU\0\0**: First drive (e.g., C:) - **BagMRU\0\0\0**: First subfolder on C: Each Shell Item contains: - Item type (folder, drive, network, zip, control panel) - Short name (8.3 format) - Long name (Unicode) - Creation/modification timestamps - MFT entry/sequence for NTFS folders ## Analysis with EZ Tools ### SBECmd (Command Line) ```powershell # 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 ``` ### ShellBags Explorer (GUI) ```powershell # 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 ``` ## Forensic Investigation Scenarios ### Proving USB Device Browsing ```text 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. ``` ### Detecting Network Share Access ```text 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. ``` ### Identifying Deleted Folder Knowledge ```text 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. ``` ## Limitations - Shellbags only record folder-level interactions, not individual file access - Only created through Windows Explorer shell and Open/Save dialogs - Command-line access (cmd, PowerShell) does not generate Shellbag entries - Programmatic file access via APIs does not generate Shellbag entries - Timestamps may reflect view setting changes, not necessarily folder access - Windows may batch-update Shellbag entries during Explorer shutdown ## References - Shellbags Forensic Analysis 2025: https://www.cybertriage.com/blog/shellbags-forensic-analysis-2025/ - SANS Shellbag Forensics: https://www.sans.org/blog/computer-forensic-artifacts-windows-7-shellbags - Magnet Forensics Shellbag Analysis: https://www.magnetforensics.com/blog/forensic-analysis-of-windows-shellbags/ - ShellBags Explorer: https://ericzimmerman.github.io/ ##
Trust 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-windows-shellbag-artifacts.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 Windows Shellbag Artifacts 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 Windows Shellbag Artifacts 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 Windows Shellbag Artifacts 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.