detect-dfir-collection-type

To identify a disk image or memory dump for forensics, you can classify evidence files by analyzing file headers and scanning directory keywords to detect collection types accurately.

The best way to classify digital evidence files automatically involves checking file signatures and performing content analysis to categorize items like disk images and process dumps.

Yes, you can use file signatures to detect process dumps and live-response data by reading file headers and checking extensions to identify the specific evidence collection type.

Evidence classification streamlines forensic workflows by automatically sorting evidence files into appropriate tools and procedures, allowing investigators to focus analysis on specific collection types.

No dependencies are required to classify evidence types from file headers, as the classification process operates independently using internal scripts for signature and content analysis.

A limitation of classifying forensic evidence using directory keyword scanning is that items with unrecognized signatures or missing keywords may return as unknown artefacts.