This course provides the fundamental knowledge and skills required to acquire forensic backup images from Windows-based computers and removable storage media in a forensically sound manner.
Mobile devices dominate the intake list and the desks of most digital forensics analysts 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.
This one-day course, focused on device location information, is for law enforcement investigators and analysts. Class concepts include device identifiers (IDs) in general, advertising IDs in detail, important legal considerations, overall investigative process, and tools available to law enforcement. Students will use commercially available investigative tools for querying databases of Advertising IDs and displaying their recorded broadcast locations.
This course promotes a multiagency approach to the problem of financial exploitation of senior citizens. Bringing together law enforcement personnel and adult protective services investigators, the course enhances students' investigative skills and interviewing techniques while facilitating networking and cooperation that can extend out of the classroom and into real cases. Topics include recognizing elder abuse, working with victims, and identifying perpetrators, as well as resources for investigation and community awareness. Students work together to conduct a mock investigation into a hypothetical case.
This course prepares students to identify various artifacts typically located in property lists and SQLite databases on MacOS-based computers, and teaches students how to perform forensic analysis. Students gain hands-on practical experience writing basic SQL queries and using them to analyze operating system artifacts that include, but are not limited to, user login passwords, FaceTime, messages, mail, contacts, calendars, reminders, notes, photos, Safari, Google Chrome, and Mozilla Firefox.
This course introduces learners to the concept of digital footprints and best practices in protecting personally identifiable information (PII). Topics include limiting an individual’s digital footprint, protecting privacy on social media, and the consequences of oversharing personal information, as well as steps to take after becoming a target of doxing.
This course covers the identification and extraction of artifacts associated with the Microsoft Windows operating system. Topics include the Change Journal, BitLocker, and a detailed examination of the various artifacts found in each of the Registry hive files. Students also examine Event Logs, Volume Shadow Copies, link files, and thumbnails. This course uses a mixture of lecture, discussion, demonstration, and hands-on exercises.
This course promotes a multiagency approach to the problem of financial exploitation of senior citizens. Bringing together law enforcement personnel and adult protective services investigators, the course enhances students' investigative skills and interviewing techniques while facilitating networking and cooperation that can extend out of the classroom and into real cases. Topics include recognizing elder abuse, working with victims, and identifying perpetrators, as well as resources for investigation and community awareness. Students work together to conduct a mock investigation into a hypothetical case.
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, using available acquisition options, accessing locked devices, and understanding 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.
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.