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 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 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 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 provides the fundamental knowledge and skills required to acquire forensic backup images of commonly encountered forms of digital evidence (Microsoft Windows-based and external storage devices) in a forensically sound manner.
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.
Join the Association for Prosecuting Attorneys for their webinar “A Tiger is Not a Pet: Exotics and the Law” on Thursday, May 20, 2021 at 3:00–4:00 p.m. ET. This webinar will discuss exotic animal laws and other topics relevant to prosecuting exotic animal cases.
Presenters: Tammy Thies, Founder & Executive Director of the Wildcat Sanctuary in Sandstone, Minnesota (wildcatsanctuary.org) and Pine County Attorney Reese Frederickson
The US Department of Justice (DOJ) Office of Justice Programs (OJP) Bureau of Justice Assistance (BJA) launched the Body-Worn Camera (BWC) Policy and Implementation Program (PIP) in FY 2015 to assist law enforcement agencies in enhancing or implementing BWC programs. PIP’s primary goals are to improve public safety, reduce crime, and improve trust between police and the citizens they serve.
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. Join Maggie Gaffney (Teel Tech) and Chris Atha (National White Collar Crime Center) for part one in their three-part Springtime SQLite Survival Series. Part I SQLite Statements and Structures will focus on an explanation of SQLite and how it functions. Furthering this knowledge, a crash course explaining the usage of the SQL language to enhance your SQLite-based investigations will finish the presentation. Applicable attendees will receive a four-month license for Sandersons Forensics SQLite Explorer. Stay tuned for an interactive question and answer session and information about Part II.
This course provides students with the fundamental knowledge and skills necessary to perform a limited digital forensic examination, validate hardware and software tools, and effectively use digital forensic suites and specialized tools. The course begins with a detailed review of the digital forensic examination process, including documentation, case management, evidence handling, validation, and virtualization. Students learn to use today's leading commercial and open source digital forensic suites: Magnet Axiom, X-ways Forensic, and Autopsy. Instruction on each suite will include an interface overview, configuration, hashing, file signature analysis, keyword searching, data carving, bookmarking, and report creation.