When performing forensic tasks on Apple devices, the order in which you enter device modes can make a big difference. While DFU mode is necessary for certain extractions, especially using checkm8, going straight into DFU might not be your best option. Starting with Recovery Mode offers several advantages that make it a safer, faster approach. By entering Recovery Mode first, you reduce the risk of unexpected data changes, minimize delays, and ensure the device stays in a stable state. Let’s take a closer look at why starting with Recovery Mode is the better approach for your extraction process.

For a long time, the macOS version of iOS Forensic Toolkit remained the most feature-complete. Only macOS supported bootloader-level acquisition using checkm8, installation of the extraction agent with regular Apple IDs, and use of wireless adapters for Apple Watch analysis. All of these capabilities are now available in the Linux build as well, eliminating the need for a Mac in many workflows. This guide explains how to properly install and use EIFT on a Linux system.

We’ve released an important update to iOS Forensic Toolkit: the Toolkit expands logical acquisition to all newer models of Apple Watch starting from Apple Watch Series 6 (with a wired third-party adapter), Apple Watch Series 7 through 10, SE2, Ultra, and Ultra 2 (via a special wireless adapter). With this update, the Toolkit supports the complete range of Apple Watch devices with no gaps or omissions.

We are excited to announce an update to Elcomsoft iOS Forensic Toolkit that solves a long-lasting issue connected to the installation and use of the low-level extraction agent. In version 8.70, we introduce a critical improvement: you can now sideload and launch the extraction agent completely offline using any Apple Developer account – regardless of when it was created. What exactly changed, and what does that mean for you? Read along to find out.

Welcome to the world of mobile forensics, where extracting data is the first (and arguably the most critical) step. Whether you’re working with an ancient Apple device or attempting to break into the latest iPhone 16 Pro Max, there is a method for every gadget – each with its own share of challenges. We love explaining the differences between the extraction techniques, detailing their pros and contras, but sometimes you are limited to the one and only method that is the most likely to succeed.

Using a firewall is essential to secure the installation of the extraction agent when performing low-level extraction from a variety of iOS devices. We developed two solutions: a software-based firewall for macOS and a hardware-based firewall using a Raspberry Pi (or similar microcomputer) with our own custom firmware. This guide will help you choose the best option for your needs.

Apple accounts are used in mobile forensics for sideloading third-party apps such as our own low-level extraction agent. Enrolling an Apple ID into Apple Developer Program has tangible benefits for experts, but are they worth the investment? Some years back, it was a reassuring “yes”. Today, it’s not as simple. Let’s delve into the benefits and limitations of Apple Developer accounts in the context of mobile forensics.

iOS Forensic Toolkit comes in three flavors, available in macOS, Windows, and Linux editions. What is the difference between these edition, in what ways is one better than the other, and which edition to choose for everyday work? Read along to find out.

Twelve years ago, we introduced an innovative way of accessing iPhone user data, retrieving iPhone backups straight from Apple iCloud. As our iCloud extraction technology celebrates its twelfth anniversary, it’s a fitting moment to reflect on the reactions it has provoked within the IT community. Let us commemorate the birth of the cloud extraction technology, recap the initial reactions from the forensic community, and talk about where this technology stands today.

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.