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.
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 course is for officers, investigators, and analysts who encounter cell phone evidence that includes information external to the phone. Class concepts include instruction on how to request, read, and analyze call detail records from cellular providers, and how to plot cellular site locations to determine the approximate position of a suspect during a given period. No special hardware or software is required. However, this course focuses heavily on analysis; as such, a strong working knowledge of Microsoft Excel is highly recommended. Students are provided with a free copy of the National White Collar Crime Center's (NW3C) PerpHound tool, which assists in the plotting of call detail record locations.
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 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.
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.
This course provides expert guidance in the skills law enforcement officers need to conduct successful online investigations. Topics include IP addresses and domains, an overview of currently popular social media platforms, best practices for building an undercover profile, foundational knowledge related to the dark web, and the use of the dark web as an investigative tool. Instructors demonstrate both open source and commercially available investigative tools for social engineering, information gathering, and artifacts related to social media, as well as automated utilities to capture information and crawl websites.
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 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 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.