We are excited to announce the release of an open-source software for Raspberry Pi 4 designed to provide firewall functionality for sideloading, signing, and verifying the extraction agent that delivers robust file system imaging and keychain decryption on a wide range of Apple devices. This development aims to address the growing security challenge faced by forensic experts when sideloading the extraction agent using regular and developer Apple accounts.

Year after year, the field of digital forensics and incident response (DFIR) presents us with new challenges. Various vendors from around the world are tirelessly striving to simplify and enhance the work of experts in this field, but there are some things you probably do not know about (or simply never paid attention to) that we discussed in the first part of these series. Today we’ll discuss some real cases to shed light onto some vendors’ shady practices.

The market of digital forensic tools is a tight one, just like any other niche market. The number of vendors is limited, especially when catering such specific needs as unlocking suspects’ handheld devices or breaking encryption. However, amidst the promises of cutting-edge technology and groundbreaking solutions, there are certain limitations that forensic vendors often don’t like to disclose to their customers. These limitations can have a significant impact on the applicability, effectiveness and reliability of the tools being offered.

Last month, we introduced a new low-level mechanism, which enabled access to parts of the file system from many Apple devices. The partial extraction process relies on a weak exploit that did not allow full sandbox escape. Today, the limitations are gone, and we are proud to offer the full file system extraction and keychain decryption for the entire iOS 15 range up to and including iOS/iPadOS 15.7.2.

In recent years, Apple had switched from 4-digit PINs to 6 digits, while implementing blacklists of insecure PIN codes. How do these measures affect security, how much more security do six-digit PINs deliver compared to four-digit PINs, and do blacklists actually work? Let’s try to find out.

The recent update to iOS Forensic Toolkit brought two automations based on the Raspberry Pi Pico board. One of the new automations makes it possible to make long, scrollable screen shots in a semi-automatic fashion. In this article we will show how to build, program, and use a Raspberry Pi Pico board to automate scrolling screenshots.

The latest update to iOS Forensic Toolkit brings two new features, both requiring the use of a Raspberry Pi Pico board. The first feature automates the switching of iPhone 8, iPhone 8 Plus, and iPhone X devices into DFU, while the second feature adds the ability to make long, scrollable screen shots in a semi-automatic fashion. In this article we will show how to build, program, and use a Raspberry Pi Pico board to automate DFU mode.

Welcome to Part 4 of the Perfect Acquisition series! In case you missed the other parts (1, 2, and 3), please check them out for more background information, or dive straight in and learn how to perform Perfect HFS Acquisition yourself. This section contains a comprehensive guide on how to perform the Perfect HFS Acquisition procedure.

Welcome to Part 3 of the Perfect Acquisition series! If you haven’t read Part 1 and Part 2 yet, be sure to check them out before proceeding with this article. In this section, we will introduce our newly developed Perfect HFS Acquisition method, which enables the extraction of data from legacy iOS devices that do not have SEP and utilize the HFS file system.

In the previous articles we explained how to connect the first-generation HomePod to a computer, apply the exploit, extract a copy of the file system and decrypt the keychain. Since the HomePod cannot be protected with a passcode and does not allow installing apps, we were wondering what kinds of data the speaker may have and what kinds of passwords its keychain may store.