Course Overview

Master the mechanical file structure layers, signature-based raw cluster allocation metrics, and secure physical duplication workflows engineered to recover electronic evidence past wiping scripts.

### COURSE OVERVIEW
Evidence deletion mechanisms and operational anti-forensics sanitization protocols frequently attempt to scrub file entries from system master directories. This course targets recovering deleted logs files data records by bypassing file master indicators entirely to scrape raw data clusters sequentially. Trainees manipulate professional software suites and integrity verifiers to salvage electronic evidence securely matching forensic validation frameworks.

### WHAT YOU'LL LEARN:
* Enforce secure hardware and software write-blockers parameter configurations to lock source evidence drive perimeters.
* Execute perfect raw bit-stream duplications mapping complete storage structures securely across DD and E01 image formats.
* Verify storage media duplicates signatures leveraging cryptographic MD5 and SHA-256 hash validation loops.
* Parse low-level structural data allocations across NTFS Master File Tables, FAT32 records, and EXT4 inode variables.
* Recover hidden system indicators by extracting file metadata anomalies and Alternate Data Streams (ADS).
* Carve fragmented data file blocks out of drive slack spaces using manual hexadecimal signature tracing methodologies.

### COURSE REQUIREMENTS:
* Verifiable baseline knowledge of basic computing filesystem properties (NTFS or Linux directories setup).
* Desktop computer platform capable of running data carving software tools and analyzing massive partition images.