MOBILedit Forensic
Description
MOBILedit Forensic is a phone and cloud extractor, data analyzer and report generator all in one solution. A powerful 64-bit application using both the physical and logical data acquisition methods, MOBILedit is excellent for its advanced application analyzer, deleted data recovery, live updates, wide range of supported phones including most feature phones, fine-tuned reports, concurrent phone processing, and easy-to-use user interface.
All-in-one tool used to gather evidence from phones
With MOBILedit Forensic, you can extract all the data from a phone with only a few clicks. This includes deleted data, call history, contacts, text messages, multimedia messages, photos, videos, recordings, calendar items, reminders, notes, data files, passwords, and data from apps such as Skype, Dropbox, Evernote, Facebook, WhatsApp, Viber, Signal, WeChat and many others.
Security bypassing
- MOBILedit Forensic Ultra has built-in security bypassing for many phone models, allowing you to acquire a physical image even when the phone is protected by a password or pattern. Bypass the lock screen on a wide range of Android phones, so you can keep the investigation moving forward.
Physical data acquisition
- In addition to advanced logical extraction we also provide Android physical data acquisition, allowing you to extract physical images of investigated phones and have exact binary clones. Physical analysis allows you to open image files created by this process, or those obtained through JTAG, chip-off or other tools to recover deleted files plus all other deleted data where our product is known to be excellent.
Smart Screenshots
- The Smart Screenshots feature provides a solution for obtaining evidence from applications that cannot be accessed through logical extraction. This advanced feature enables the extraction of conversations and other information from popular messaging apps like Instagram, Signal, Skype, Telegram, Viber, and WhatsApp. The screenshotting is automatic without requiring any user interaction on the device.
Live updates
- In addition to advanced logical extraction we also provide Android physical data acquisition, allowing you to extract physical images of investigated phones and have exact binary clones. Physical analysis allows you to open image files created by this process, or those obtained through JTAG, chip-off or other tools to recover deleted files plus all other deleted data where our product is known to be excellent.
Cloud forensics
- Besides phone content acquisition, cloud extraction is a necessity to get all possible data. MOBILedit Cloud Forensic supports the most popular cloud-based services such as Booking, Microsoft Teams, Dropbox, Box, Microsoft OneDrive, Google Drive, Facebook, Instagram, LinkedIn, Twitter, Facebook Messenger, Slack and many others. This powerful feature is available as a standalone product or can be integrated within MOBILedit Forensic Pro
Smartwatch forensics
- With the rise in popularity of wearable devices, smartwatch forensics plays an essential role and is vital if a smartwatch is the only digital evidence available. MOBILedit Forensic supports smartwatches made by manufacturers such as Apple, Garmin, Samsung, TCL and others, via special readers which are available in our Smartwatch Kit.
Deleted data recovery
- Deleted data is almost always the most valuable information in a device. It often hides in applications; and because this is our strongest expertise, we deliver great results in finding deleted data. Our special algorithms look deeply through databases, their invalidated pages and within caches to find any data that still resides in a phone. MOBILedit Forensic retrieves the deleted data and presents it clearly in a special section of the report.
Malware detection
- The new Malware detection is based on the Yara project. Yara works on the basis of rules that describe any pattern of data, in our case patterns that may indicate malware. MOBILedit Forensic applies these rules and searches the file to see if it accomplish any of these rules, and returns a list of results. This means that it contains the data patterns described.