Iphone forensics toolkit4/16/2024 ![]() ![]() If the password cannot be reset, the data can be obtained with full file system acquisition via checkra1n jailbreak or by using the agent (in Elcomsoft iOS Forensic Toolkit). Extract iMessage conversations from the device Good forensic analysis software should also parse all the fields from message database, as it contains tons of useful metadata. It is also recommended to get the address book together with messages, for easier identification of the other party in conversations. The password can be reset through iPhone settings ( how to do it), but the reset might be blocked by Screen Time password if one is set (you may be able to extract and remove the Screen Time password). Requirements: the original physical iPhone screen lock passcode must be known or empty. Note that recovering the password will be a very slow process without guaranteed outcome. Since the recovery speed is going to be extremely slow, your only chance would be using a targeted dictionary composed of the user’s existing passwords, complemented with masks and reasonable mutations. You can attempt to recover the password by running an attack with either Elcomsoft Phone Breaker or Elcomsoft Distributed Password Recovery (faster, distributed attacks). Read The Four Ways to Deal with iPhone Backup Passwords for more information. If you don’t know the password, you still have options. If you know the password, you can either decrypt the backup with Elcomsoft Phone Breaker, or open it directly in Elcomsoft Phone Viewer or another forensic tool of your choice that supports encrypted backups. ITunes backup, password-protected: this is where the complexity begins. ITunes backup, no password: simply launch Elcomsoft Phone Viewer and open the unprotected backup to analyze iMessages. The iMessage database (sms.db), as well as all the attachments, is included as a part of the iTunes backup whether or not the backup is protected with a password. Extract iMessages from iTunes-style backups Let’s talk about the “ifs” and “buts” of iMessage extraction from various sources.
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