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.

Forensic acquisition has undergone significant changes in recent years. In the past, acquisition was relatively easy, with storage media easily separable and disk encryption not yet widespread. However, with the rise of mobile devices and their built-in encryption capabilities, acquiring data has become increasingly challenging. Traditional approaches like disk dumps are no longer feasible, and software exploitation has become the industry standard. Despite these methods, there are limitations to mobile acquisition, including the need to collaborate with the device, the possibility of hardware defects or deliberate data tampering. As a result, there is a need for continuous innovation in forensic acquisition to address these challenges and ensure accurate and reliable data collection.

Dictionary attacks are among the most effective ones because they rely on the human nature. It is human nature to select passwords that are easily memoizable, like their pet names, dates of birth, football teams or whatever. BBC counted 171,146 words in the English dictionary, while a typical native speaker (of any language) knows 15,000 to 20,000 word families (lemmas, or root words and inflections). Whatever the attack speed is, it will not take too much time to check all the English words.

In the previous article we discussed the different methods available for gaining access to encrypted information, placing password recovery attacks at the bottom of the list. Password recovery attacks are one of the methods used to gain access to encrypted information. In this article we’ll discuss the process of building a password recovery queue. Learn how to choose the appropriate workflow for the attack, the first prioritizing files with weaker protection, the second prioritizing faster and shorter attacks, and the third being a combination of the two. For your reference, we built a table to compare the relative strength of different file formats and encryption methods, helping users prioritize their attack queues.

Access to encrypted information can be gained through various methods, including live system analysis (1 and 2), using bootable forensic tools, analysis of sleep/hibernation files, and exploiting TPM vulnerabilities, with password recovery being the last option on the list. Each method has different resource requirements and should be used in order of least resource-intensive to most time-consuming, with password recovery as the last resort. Familiarize yourself with the different encryption recovery strategies and learn about data formats with weak protection or known vulnerabilities.

There are several methods for recovering the original password ranging from brute force to very complex rule-based attacks. Brute-force attacks are a last resort when all other options are exhausted. What can you reasonably expect of a brute-force attack, what is the chance of success, and how does it depend on the password and the data? Or just “how long will it take you to break it”? Let’s try to find out.

The new year is fast approaching, and of course we are curious to know what it has in store for us in the field of computer, mobile, and cloud forensics. But before 2022 is over, we invite you to take a moment to reflect on what 2022 has been like for us. More research, development and updates remained our top priority, as it has been in all previous years. We have continued with constant improvement to our solutions by launching new features and expanding product capabilities. We’ve also got a chance to attend some conferences to meet with you in person and share our expertise. So, here’s our take on the results of 2022.

Windows account passwords, or NTLM passwords, are among the easiest to recover due to their relatively low cryptographic strength. At the same time, NTLM passwords can be used to unlock DPAPI-protected data such as the user’s passwords stored in Web browsers, encrypted chats, EFS-protected files and folders, and a lot more. In this article we argue about prioritizing the recovery of NTLM hashes over any other types of encrypted data.

Several generations of Apple TV devices have a bootloader vulnerability that can be exploited with checkm8 to extract information from the device. The vulnerability exists in the Apple TV 3 (2012 and 2013), Apple TV HD (formerly Apple TV 4) 2015 and 2021, and Apple TV 4K (2017). Newer generations of Apple TV do not have the vulnerability. This guide lists the tools and steps required to fully extract a compatible Apple TV device.

checkm8 is the only extraction method available for the Apple Watch S3 allowing full access to essential evidence stored in the device. In this guide, we will talk about connecting the Apple Watch S3 to the computer, placing the watch into DFU mode, applying the checkm8 exploit and extracting the file system from the device with iOS Forensic Toolkit 8.0.