Training

This course introduces the information and techniques law enforcement personnel need to safely and methodically collect and preserve digital evidence at a crime scene. Topics include recognizing potential sources of digital evidence; planning and executing a digital evidence-based seizure; and the preservation, packaging, documentation, and transfer of digital evidence.

*Prepare. Prepare to respond to an incident or crime scene where digital evidence may be present.
*Identify. Learn tow to identify relevant sources of digital evidence in an ever-evolving landscape.
*Collect. Learn the proper methods of digital evidence collection.
*Preserve. Build upon the three previous principles to ensure valid and legal preservation of digital evidence can occur.

This course prepares students to identify various artifacts typically located in property lists and SQLite databases on MacOS-based computers, as well as learn how to perform forensic analysis. Students gain hands-on practical experience writing basic SQL queries and using to analyze operating system artifacts that includes, but is not limited to, user login passwords, FaceTime, messages, mail, contacts, calendars, reminders, notes, photos, Safari, Google Chrome, and Mozilla Firefox.

This course provides training on digital forensics for video, specifically targeting common file formats rather than proprietary video encodings or delivery methods. It aims to prepare investigators to answer critical questions about the file and ensure key evidence is not overlooked. This training is designed to support investigations by providing the necessary expertise to handle the complexities of video evidence in the digital age, addressing possible pitfalls including deepfakes, manipulated video, and potential overlooked evidence.

Key concepts covered in this course include:
Digital video file creation
Tool and result verification
Metadata and parsing
Image classification
Hash value comparison
Image/video classification and reporting results

This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis (ILA) expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training (FIAT) while building a framework for more advanced methods such as social network analysis.

Expanding basic knowledge of link and association analysis
Explaining the process of social network analysis
Understanding the visual mapping and mathematical components associated with link and social network analyses

These discussions are intended to provide opportunities for peer engagement, idea generation, and discussions of innovative solutions and practices related to achieving and maintaining compliance with the PREA Standards.

These discussions are intended to provide opportunities for peer engagement, idea generation, and discussions of innovative solutions and practices related to achieving and maintaining compliance with the PREA Standards.

These discussions are intended to provide opportunities for peer engagement, idea generation, and discussions of innovative solutions and practices related to achieving and maintaining compliance with the PREA Standards.

These discussions are intended to provide opportunities for peer engagement, idea generation, and discussions of innovative solutions and practices related to achieving and maintaining compliance with the PREA Standards.

This course provides the advanced skills and knowledge necessary to analyze data on iOS devices (iPod Touch, iPhone, and iPad) and Android devices at an advanced level. Students use forensically-sound tools and techniques to analyze potential evidence, employing advanced techniques to uncover evidence potentially missed or misrepresented by commercial forensic tools. Topics include identifying potential threats to data stored on devices, available acquisition options, accessing locked devices, and the default folder structure. Core skills include analyzing artifacts such as device information, call history, voicemail, messages, web browser history, contacts, and photos. Instruction is provided on developing the hunt methodology for analyzing third party applications not supported by commercial forensic tools.

Mobile device hardware fundamentals. How mobile devices work, store data, and interact with a variety of networks.
Device handling. Properly preserving data for imaging and analysis. Identifying potential threats to data integrity.
Device acquisition and security. Acquisition options (physical, logical, device backups). Bypassing passcodes and properly defeating encrypted backups of iOS devices.
Advanced analysis techniques. Mounting images, partitioning scheme and default folder structure, types of artifacts (plists, SQLite databases, etc.).

Mobile devices dominate the intake list, and the desks of most digital forensics analyst globally. Devices are becoming more secure, with an increase in security the need for detailed analysis is increasing as well. SQLite is a self-contained, serverless database engine. It is found on nearly every operating system and dominates iOS, Android, and macOS as one of the most prevalent and relevant data storage mechanisms. Rather than hope our forensic tools support the newest applications or be tethered to how a certain utility parses data we can arm ourselves with the skills and techniques needed to conquer the analysis of nearly any application.

What is SQLite and how to identify and analyze logically
Recognizing relevant locations of valuable data within SQLite database.
Develop skills needed for crafting custom SQLite queries.
Learn how to recognize and decode a variety of common timestamp formats.
Learn how to perform SQLite analysis with automation.