Smartphones and mobile computing endpoints represent the primary repositories of contemporary human communication, financial transactions, spatial movement, and organizational records. However, modern hardware-backed encryption engines—such as Apple's Secure Enclave Processor (SEP) and Android's TrustZone/StrongBox hardware abstraction layers—alongside complex file-based encryption (FBE) and sandboxed operating system architectures present severe technical obstacles for criminal investigators, incident responders, and digital forensic analysts. This comprehensive, laboratory-grade masterclass delivers an exhaustive, practice-tested methodology for conducting courtroom-defensible mobile investigations. Grounded in ISO/IEC 27037 standards, NIST Special Publication 800-101 Revision 1 (Guidelines on Mobile Device Forensics), and the Federal Rules of Evidence (FRE 702/901), students progress through the entire mobile evidence lifecycle: from field isolation in Faraday shielding and cryptographic bitstream acquisition (logical, advanced logical, full file system, and physical hardware vectors) to deep low-level file system parsing across APFS, ext4, and f2fs storage architectures. Through rigorous, scenario-driven instructional modules, practitioners deconstruct low-level hardware interfaces (Qualcomm EDL mode, MediaTek BROM exploits, JTAG boundary scans, eMMC/UFS In-System Programming), bypass locked states using bootrom vulnerabilities like checkm8, carve unallocated space and write-ahead logs (WAL) in SQLite databases, analyze encrypted third-party messaging stores (WhatsApp, Signal, Telegram), reconstruct chronological super-timelines from location services (iOS routined, Google Location History, Wi-Fi probe logs), and evaluate wearable and connected vehicle telemetry. Every topic bridges low-level bitstream mechanics with rigorous evidentiary defensibility, preparing investigators to deliver unassailable expert reports and testimony under hostile cross-examination.
Mobile Device Forensics: iOS & Android Extraction, Hardware-Backed Triage, and File System Analysis
22 modules · self-paced learning
Curriculum
22 modules · 242 lessons
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Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
Enroll in the course to access this module’s 11 lessons.
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