Big news is coming – and this time, it’s from the living room. Our team has successfully extracted a complete file system image from an Apple TV 4K running tvOS 26. This marks the first-ever low-level extraction of Apple’s 26th-generation operating systems, including iOS 26, iPadOS 26, and tvOS 26. No one – not even the major forensic players! – has been able to achieve this before.

The latest update to iOS Forensic Toolkit brought bootloader-level extraction to a bunch of old iPads, Apple TVs, and even the first-gen HomePod running OS versions 17 and 18. This enabled full file system and keychain extraction on a those older Apple devices that can still run these versions of the OS.

Forensic acquisition using Elcomsoft iOS Forensic Toolkit (EIFT) has undergone significant changes over the last few years. The earlier major branch, EIFT 7, was a carefully crafted but Windows-only script that automated the use of several bundled tools and guided the user without requiring them to know how to use each of them individually. EIFT 8 brought many new features, a more powerful interface and widespread support for new devices and host operating systems. Due to restrictions and challenges, not all features were immediately available on all platforms. There are still some minor differences in features between Windows, Linux, and macOS versions of the tool.

In the realm of iOS device forensics, the use of the checkm8 exploit for low-level extractions has become a common practice. However, when using this method, you may occasionally need to remove the device’s screen lock passcode, which can lead to several undesirable consequences. In this article, we’ll study these consequences and learn when you need a screen lock reset, when it can be avoided, and how what the latest iOS Forensic Toolkit has to do with it.

In iOS device forensics, the process of low-level extraction plays a crucial role in accessing essential data for analysis. Bootloader-level extraction through checkm8 has consistently been the best and most forensically sound method for devices with a bootloader vulnerability. But even though we brought the best extraction method to Linux and Windows in recent releases, support for iOS 16 on these platforms was still lacking behind. In this article we’ll talk about the complexities in iOS 16 extractions and how we worked around them in the newest release of iOS Forensic Toolkit.

The latest update of iOS Forensic Toolkit brought an all-new Linux edition, opening up a world of possibilities in mobile device analysis. The highly anticipated Linux edition preserves and expands the features previously available to macOS and Windows users. Forensic professionals can now perform advanced logical and low-level extractions with the aid of a custom extraction agent and extract information using the bootloader-level exploit, making forensic analysis more accessible on Linux platforms.

The bootloader vulnerability affecting several generations of Apple devices opens the door to forensically sound extraction. In today’s article we’ll discuss the compatibility and features of this exploit with different devices, iOS versions, and platforms. In addition, we’ll provide security professionals and researchers with valuable insight into potential issues and solutions when working with checkm8.

As a provider of mobile forensic tools, we at Elcomsoft strongly believe in giving back to the community. Our iOS Forensic Toolkit (EIFT) is a highly complex and powerful mobile acquisition tool, consisting of almost eighty sub-projects, many of which are open source. While we have benefited from the contributions of the community, we also believe that it’s time to contribute back to the open source community by publishing our changes to those projects as required by their permissive license.

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.

The first-generation HomePod is a smart speaker developed by Apple that offers high-quality audio and a range of features, including Siri integration and smart home controls. However, as with any electronic device, it can store valuable information that may be of interest in forensic investigations. In this article, we will explore how to use the forensically sound checkm8 extraction to access data stored in the HomePod, including the keychain and file system image. We will also outline the specific tools and steps required to extract this information and provide a cheat sheet for those looking to extract data from a HomePod. By the end of this article, you’ll have have a better understanding of how to extract data from the first-generation HomePod and the potential limitations of this extraction method.