Archive for November, 2015

Elcomsoft Distributed Password Recovery Updated with OS X Keychain Support and Enhanced GPU Acceleration

Thursday, November 26th, 2015

We’ve recently updated Elcomsoft Distributed Password Recovery, adding enhanced GPU-assisted recovery for many supported formats. In a word, the new release adds GPU-accelerated recovery for OS X keychain, triples BitLocker recovery speeds, improves W-Fi password recovery and enhances GPU acceleration support for Internet Key Exchange (IKE).

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A New Tool for WhatsApp Acquisition

Wednesday, November 25th, 2015

We have recently released a brand new product, Elcomsoft Explorer for WhatsApp. Targeted at home users and forensic experts along, this Windows-based, iOS-centric tool offers a bunch of extraction options for WhatsApp databases. Why the new tool, and how is it different from other extraction options offered by Elsomsoft’s mobile forensic tools? Before we move on to that, let’s have a look at the current state of WhatsApp.

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Physical Acquisition for 64-bit Devices, iOS 9 Support

Wednesday, November 18th, 2015

Big news! iOS Forensic Toolkit receives its first major update. And it’s a big one. Not only does version 2.0 bring support for iOS 9 handys. We also expanded acquisition support for jailbroken devices, enabling limited data extraction from jailbroken devices locked with an unknown passcode.

Last but not least. For the first time ever, we’ve added physical acquisition support for 64-bit devices! We’ve done what was long considered to be impossible. Intrigued? Read along to find out! Can’t wait to see what can be done to 64-bit iDevices? Skip right to that section!

New in EIFT 2.0

  • iOS 9: Full physical acquisition support of jailbroken 32-bit devices running iOS 9
  • 64-bit: Physical acquisition for jailbroken 64-bit devices running any version of iOS
  • Locked: Limited acquisition support for jailbroken 32-bit and 64-bit iOS devices that are locked with an unknown passcode and cannot be unlocked

It’s probably a bit too much for a modest one-digit version bump… we should’ve named this version 3.0! (more…)

Extracting Data from Locked iPhones

Friday, November 13th, 2015

With hardware-backed full-disk encryption and additional protection of sensitive user data located in the keychain, Apple iOS is the most secure mobile operating system out there. Acquisition approaches that are traditional for Android and Windows Phone devices (namely, JTAG, ISP and chip-off) are completely meaningless for iOS devices running even years-old generations of the system. Bypassing screen lock password (passcode) has also been long considered to be useless due to the fact user data stored in the keychain is additionally encrypted with a secure key based on the passcode.

While we can’t do much with the former, our recent research shows that the latter is not entirely true. Bypassing the passcode does reveal quite a bit of information that can be useful for an investigation. And this is not just a theoretical research. We are building this functionality into a ready-to-use commercial tool, iOS Forensic Toolkit, to allow extracting data from locked iDevices – providing they have a jailbreak installed. The tool will allow pull available information from devices locked with an unknown passcode. That includes devices that were powered on (or rebooted) and never unlocked. Naturally, a pre-installed jailbreak is required in order to access the data.

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Elcomsoft Phone Viewer: iOS 9, Media Gallery and Location Tracking

Wednesday, November 11th, 2015

We’ve just released the first major update to Elcomsoft Phone Viewer, our lightweight forensic tool for glancing over data extracted from mobile devices. Boosting version number to 2.0, we added quite a lot of things, making it a highly recommended update.

So what’s new in Phone Viewer 2.0? Improved compatibility with full support for iOS 9 backups (both local and iCloud). Support for media files (pictures and videos) with thumbnail gallery and built-in viewer. EXIF parsing and filtering with geolocation extraction and mapping. These things greatly enhance usage experience and add the ability to track subject’s coordinates on the map based on location data extracted from the images captured with their smartphone.

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