About this course
About CMFF:
The Cellebrite Mobile Forensics Fundamentals (CMFF) course is a 1-day entry level program designed for investigators to identify mobile device hardware and understand the general the forensic process. Students will learn how the four phases of the forensics process are related and demonstrate how to handle devices following best practices. Students will also conduct basic analysis of extracted device data and generate reports using UFED Reader software.
About CCO:
The Cellebrite Certified Operator (CCO) course is a 2-day intermediate level certification program which builds on the concepts from the CMFF course. This course is designed for those participants tasked with extracting data in a forensically sound manner using UFED Touch or UFED 4PC. This course aims to teach data extraction team members such as technically savvy investigators, digital forensic examiners, IT staff, internal affairs investigators, first responders and personnel designated to handle extraction of digital evidence how to perform extractions on a variety of devices. These extractions include logical, file system and physical extractions from mobile devices as well SIM cards, and external storage such as SD cards. Participants in this course will gain a basic understanding of how to open the extractions in Physical Analyzer software, conduct basic searches and how to create bookmarks and reports.
NOTE: It is strongly recommended that students attending this course complete the Cellebrite Mobile Forensics Fundamentals (CMFF) course or test out prior to attending.
- Identify mobile device hardware
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Describe the importance of evidence handling and documentation
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Identify tools and equipment for seizing mobile devices as evidence
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Demonstrate procedures for seizing mobile devices in a manner
that preserves evidence integrity
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State the order of acquisitions
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Describe tools and techniques for acquiring data from mobile
devices
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Define the types of data encoding used on mobile devices: binary,
hexadecimal, ASCII, Unicode
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Demonstrate techniques for decoding data stored in mobile devices