In the realm of digital forensics, understanding user activity is paramount. One powerful technique for piecing together a user's actions on a system is Shellbag analysis. This method provides a wealth of information about accessed folders, offering valuable insights into user behavior and potential evidence of file manipulation.
Shellbags are a set of registry keys that store details about a user's folder views, including their size, position, and icon preferences. Essentially, every time a user explores a new folder, a Shellbag entry is created, tracking the directory traversal within the system. This includes folders accessed on local drives, network shares, and even removable devices.
The significance of Shellbags lies in their ability to:
This makes Shellbag analysis a critical tool for investigators seeking to reconstruct user actions, identify potential data breaches, or uncover evidence of malicious activity.
Shellbags reside within the user's registry hive. The specific location varies depending on the Windows operating system:
NTuser.dat
under HKCU (HKEY_CURRENT_USER)
UserClass.dat
under HKCU (HKEY_CURRENT_USER)
(or HKCR
for Win7+)Within these hives, the Shellbags are organized under the BagMRU
key, mirroring the folder structure within Windows Explorer. The numbered folders within BagMRU
represent the parent/child relationships between accessed folders.
Analyzing Shellbags can reveal crucial information for digital investigations:
While the registry entries themselves are stored in a hexadecimal format, specialized tools are essential for parsing and interpreting the data effectively.
Shellbags Explorer excels at:
Shellbag analysis is a valuable tool in the digital investigator's arsenal. By understanding what Shellbags are, where they are located, and how to analyze them with specialized tools, investigators can gain valuable insights into user activity, identify potential security breaches, and reconstruct events to uncover critical evidence. This proactive approach enhances the understanding of user behavior and contributes to a more comprehensive and effective digital forensics investigation.