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Capital Embedded AR Classic is Siemens’ implementation of the AUTOSAR Classic standard basic software for automotive embedded systems. It is designed to help automotive engineers manage the growing complexity of in-vehicle software development. Capital Embedded AR Classic supports multiple AUTOSAR Classic releases and is validated for ISO 26262 functional safety use cases up to ASIL D. The platform provides robust support for key automotive communication protocols such as LIN, CAN, CAN-FD, Ethernet, and FlexRay. It enables efficient multibus gateway implementations and supports multicore architectures. Engineers can distribute software components and basic software across multiple partitions for optimal performance. Capital Embedded AR Classic helps organizations accelerate time-to-market while delivering high-quality, reliable embedded software.

ToothPicker is an in-process, coverage-guided fuzzer for iOS. It was developed to specifically target iOS's Bluetooth daemon and to analyze various Bluetooth protocols on iOS. As it is built using FRIDA, it can be adapted to target any platform that runs FRIDA. This repository also includes an over-the-air fuzzer with an exemplary implementation to fuzz Apple's MagicPairing protocol using InternalBlue. Additionally, it contains the ReplayCrashFile script that can be used to verify crashes the in-process fuzzer has found. This is a very simple fuzzer that only flips bits and bytes of inactive connections. No coverage, no injection, but nice as a demo and stateful. Runs just with Python and Frida, no modules or installation are required. ToothPicker is built on the codebase of frizzer. It is recommended to set up a virtual Python environment for frizzer. Starting from the iPhone XR/Xs, PAC has been introduced.