The Samsung Secure Health Data Parser is a forensic tool designed to extract and analyze data from Samsung Health databases. With the increasing importance of health-related data in digital forensics, this tool simplifies the process of extracting critical information, such as exercise data, step counts, and live activity tracking, stored in Samsung Health databases.
BFIP is a powerful addition to your digital forensic toolbelt. Evolving significantly from its initial release, BFIP provides a number of features from automation to data carving for your media-based exams:
Release Announcement BFIP 4.3 is here! There’s several big changes and improvements to cover. Here’s some of the biggest improvements! Updated Branding Formally referred…
After some long hours coding, testing, and squashing bugs, I feel like the next big release of BFIP is ready for primetime! There’s still so…
FileSifter is a digital forensics live-triage collection tool designed for deployment across multiple OS platforms including Windows, MacOS, and Linux. Features Keyword Filtering, Collection, and Logging.
Update 07/05/22 Release V4.2: Biggest improvements include: Hashing Engine Rebuilt to now conduct multithreaded parallel hashing of archive segments. Direct tests between prior hashing engine…
The CLI and Forensic Tools If you’re a Digital Forensic Examiner (DFE), you’re hopefully familiar with Griffeye Analyze DI. …And, if you you’re a DFE…
So, here’s the thing. In this line of work, you tend to generate/collect, A LOT of data, files, reports, etc. for each and every case…
