In digital forensics, sometimes you get a case where the standard tools do not provide the information you need. Whether you need metadata and files from an obsolete file system or you need to extract the data from unsupported file types, writing digital forensics tools in Python gives you abilities beyond those of widely used tools. In this session, learn about some of the Python toolkits and techniques that can help you solve those tough, unexpected digital forensics problems. A case study will be presented to show how Python was used to extract metadata and files from the legacy Macintosh File System (MFS).
Evan Dygert is a software developer and forensic computer specialist with over 30 years experience with a variety of computer languages, platforms, and databases. He has also been providing expert consulting, expert witness and computer forensic services in intellectual property and contract dispute cases for over 10 years. He is currently working on his Ph.D. dissertation in Computer Information Systems.