At first glance, imaging a high-speed SSD seems a lot faster than dealing with a slower one. However, fast storage devices introduce a range of issues that are not typically encountered with slower SATA drives. Here are just a few:

We recently shared an article about maximizing disk imaging speeds, which sparked a lot of feedback from our users and, surprisingly, from the developers of one of the disk imaging tools who quickly released an update addressing the issues we discovered in the initial test round. We did an additional test, and we’re ready to share further insights into the performance of disk imaging.

In the field of digital forensics, properly handling the task of disk imaging is crucial for preserving data integrity. Using write blockers ensures that no data is altered during the imaging process, a key requirement for maintaining the chain of custody. While there are many factors influencing the efficiency and speed of this process, this article offers advanced tips and considerations that can help achieve optimal performance.

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.

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.

iOS backup passwords are a frequent topic in our blog. We published numerous articles about these passwords, and we do realize it might be hard for a reader to get a clear picture from these scattered articles. This one publication is to rule them all. We’ll talk about what these passwords are, how they affect things, how to recover them, whether they can be reset, and whether you should bother. We’ll summarize years of research and provide specific recommendations for dealing with passwords.

In the latest update, Elcomsoft Distributed Password Recovery introduced a new feature that allows managing the available computational resources. The new resource management capability allows administrators to manage and distribute the available computational resources across multiple jobs. The feature enables users to tap into a pool of available resources by requesting a certain number of recovery agents. The reserved recovery agents will be allocated, allowing multiple jobs to run separately at the same time.