InternalBlue - Bluetooth Binary Patching and Experimentation Framework

Bluetooth is one of the most established technologies for short range digital wireless data transmission. With the advent of wearables and the Internet of Things (IoT), Bluetooth has again gained importance, which makes security research and protocol optimizations imperative. Surprisingly, there is a lack of openly available tools and experimental platforms to scrutinize Bluetooth. In particular, system aspects and close to hardware protocol layers are mostly uncovered. We reverse engineer multiple Broadcom Bluetooth chipsets that are widespread in off-the-shelf devices. Thus, we offer deep insights into the internal architecture of a popular commercial family of Bluetooth controllers used in smartphones, wearables, and IoT platforms. Reverse engineered functions can then be altered with our InternalBlue Python framework---outperforming evaluation kits, which are limited to documented and vendor-defined functions. The modified Bluetooth stack remains fully functional and high-performance. Hence, it provides a portable low-cost research platform. InternalBlue is a versatile framework and we demonstrate its abilities by implementing tests and demos for known Bluetooth vulnerabilities. Moreover, we discover a novel critical security issue affecting a large selection of Broadcom chipsets that allows executing code within the attacked Bluetooth firmware. We further show how to use our framework to fix bugs in chipsets out of vendor support and how to add new security features to Bluetooth firmware

CAFS in action

For those few readers who do not know, CAFS is a system developed by ICL to search through data at speeds of several million characters per second. Its full name is Content Addressable File Store Information Search Processor, CAFS-ISP or CAFS for short. It is an intelligent hardware-based searching engine, currently available with both ICL's 2966 family of computers and the recently announced Series 39, operating within the VME environment. It uses content addressing techniques to perform fast searches of data or text stored on discs: almost all fields are equally accessible as search keys. Software in the mainframe generates a search task; the CAFS hardware performs the search, and returns the hit records to the mainframe. Because special hardware is used, the searching process is very much more efficient than searching performed by any software method. Various software interfaces are available which allow CAFS to be used in many different situations. CAFS can be used with existing systems without significant change. It can be used to make online enquiries of mainframe files or databases or directly from user written high level language programs. These interfaces are outlined in the body of the report

Cross-Disciplinary Sciences at Gettysburg College: Second Annual Poster Presentation

This booklet includes Biology student presentations by: Taylor Bury, Abigail Dworkin-Brodsky, Mary Pearce, Jasper Leavitt, Morgan Panzer, Ellen Petley, Kalli Qutub, Taylor Randell, Samantha Eck, Lana McDowell, Jenn Soroka, Celina Harris, Natalie Tanke, Alexandra Turano, and Caroline Garliss. This booklet includes Biochemistry & Molecular Biology student presentations by: Matthew Dunworth, Andrew Sydenstricker, Brianne Tomko, Albert Vill, Warren Campbell, David Van Doren, Kevin Mrugalski, Stacey Heaver, Alecia Achimovich, and Katherine Boas. This booklet includes Chemistry student presentations by: Kristen Baker, Laura Lee, Kathryn Fodale, Daniel Ruff, Michael Counihan, Ida DiMucci, Joshua Sgroi, Celina Harris, and Natalie Tanke. This booklet include Health Science student presentations by: Alex Lupolt, Daniel Moorehead, Samantha Eck, Lana McDowell, and Jenn Soroka. This booklet includes Psychology student presentations by: Monica Doring, Samantha Eck, Lana McDowell, Jenn Soroka, Alexandra Turano, and Caroline Garliss. This booklet includes Physics student presentations by: Ryan McCabe, Scott Magers, Heather Garland, Ben Machtinger, Alana Allen, Andre Hinds, Abby Bull, Tessa Thorsen, Stephen Kenyon, Franz Utermohlen, Madison Hill, Taylor Jacovich, and Amanda Krehbiel