OWASP iOSForensic - Tool to help in forensics analysis on iOS

OWASP iOSForensic is a python tool to help in forensics analysis on iOS.
It get files, logs, extract sqlite3 databases and uncompress .plist files in xml.

OWASP iOSForensic provides:

• Application's files
• Conversion of .plist files in XML
• Extract all databases
• Conversion of binary cookies
• Application's logs
• A List of all packages
• Extraction multiple packages

Options

• -h --help : show help message
• -a --about : show informations
• -v --verbose : verbose mode
• -i --ip : local ip address of the iOS terminal
• -p --port : ssh port of the iOS terminal (default 22)
• -P --password : root password of the iOS terminal (default alpine)

Examples:

./iOSForensic.py -i 192.168.1.10 [OPTIONS] APP_NAME.app INCOMPLETE_APP_NAME APP_NAME2_WITHOUT_DOT_APP
./iOSForensic.py -i 192.168.1.10 -p 1337 -P pwd MyApp.app angry MyApp2

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[IPhone Analyzer] IPhone Forensics Tool

iPhone Analzyer allows you to forensically examine or recover date from in iOS device. It principally works by importing backups produced by iTunes or third party software, and providing you with a rich interface to explore, analyse and recover data in human readable formats. Because it works from the backup files everything is forensically safe, and no changes are made to the original data.

Features

• Supports iOS 2, iOS 3, iOS 4 and iOS 5 devices
• Multi-platform (Java based) product, supported on Linux, Windows and Mac
• Fast, powerful search across device including regular expressions
• Integrated mapping supports visualisation of geo-tagged information, including google maps searches, photos, and cell-sites and wifi locations observed by the device (the infamous "locationd" data)
• Integrated support for text messages, voicemail, address book entries, photos (including metadata), call records and many many others
• Recovery of "deleted" sqlite records (records that have been tagged as deleted, but have not yet been purged by the device can often be recovered),/li>
• Integrated visualisation of plist and sqlite files
• Includes support for off-line mapping, supporting mapping on computers not connected to the Internet
• Support for KML export and direct export to Google Earth
• Browse the device file structure, navigate directly to key files or explore the device using concepts such as "who", "when", "what" and "where".
• Analyse jail broken device directly over SSH without need for backup (experimental)

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[Memoryze] Find Evil in Live Memory (Memory Forensic Software)

Mandiant’s Memoryze is free memory forensic software that helps incident responders find evil in live memory. Memoryze can acquire and/or analyze memory images, and on live systems, can include the paging file in its analysis.

Mandiant’s Memoryze features:

• image the full range of system memory (not reliant on API calls).
• image a process’ entire address space to disk. This includes a process’ loaded DLLs, EXEs, heaps and stacks.
• image a specified driver or all drivers loaded in memory to disk.
• enumerate all running processes (including those hidden by rootkits). For each process, Memoryze can:
• report all open handles in a process (for example, all files, registry keys, etc.).
• list the virtual address space of a given process including:
• displaying all loaded DLLs.
• displaying all allocated portions of the heap and execution stack.
• list all network sockets that the process has open, including any hidden by rootkits.
• specify the functions imported by the EXE and DLLs.
• specify the functions exported by the EXE and DLLs.
• hash the EXE and DLLs in the process address space (MD5, SHA1, SHA256.  This is disk based.)
• hash the EXE and DLLs in the process address space. (This is a MemD5 of the binary in memory).
• verify the digital signatures of the EXE and DLLs. (This is disk based.)
• output all strings in memory on a per process basis.
• identify all drivers loaded in memory, including those hidden by rootkits. For each driver, Memoryze can:
• specify the functions the driver imports.
• specify the functions the driver exports.
• hash the driver. (MD5, SHA1, SHA256. this is disk based.)
• verify the digital signature of the driver (This is disk based.)
• output all strings in memory on a per driver base.
• report device and driver layering, which can be used to intercept network packets, keystrokes and file activity.
• identify all loaded kernel modules by walking a linked list.
• identify hooks (often used by rootkits) in the System Call Table, the Interrupt Descriptor Tables (IDTs) and driver function tables (IRP tables).

Mandiant’s Memoryze can perform all these functions on live system memory or memory image files – whether they were acquired by Memoryze or other memory acquisition tools.

Memoryze officially supports:

• Windows 2000 Service Pack 4 (32-bit)
• Windows XP Service Pack 2 and Service Pack 3 (32-bit)
• Windows Vista Service Pack 1 and Service Pack 2 (32-bit)
• *Windows Vista Service Pack 2 (64-bit)
• Windows 2003 Service Pack 2 (32-bit and 64-bit)
• Windows 7 Service Pack 0 (32-bit and 64-bit)
• *Windows 2008 Service Pack 1 and Service Pack 2 (32-bit)
• Windows 2008 R2 Service Pack 0 (64-bit)
• *Windows 8 Service Pack 0 (32-bit and 64-bit)
• *Windows Server 2012 Service Pack 0 (64-bit)

* means support for a new operating system without experience on millions of host

In order to visualize Memoryze’s output, please download Redline™ or use an XML viewer.  Redline is Mandiant’s premier free tool for investigating hosts for signs of malicious activity through memory and file analysis, and the development of a threat assessment profile.

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[OS X Auditor] free Mac OS X computer forensics tool

OS X Auditor parses and hashes the following artifacts on the running system or a copy of a system you want to analyze:

• the kernel extensions
• the system agents and daemons
• the third party's agents and daemons
• the old and deprecated system and third party's startup items
• the users' agents
• the users' downloaded files
• the installed applications

It extracts:

• the users' quarantined files
• the users' Safari history, downloads, topsites, HTML5 databases and localstore
• the users' Firefox cookies, downloads, formhistory, permissions, places and signons
• the users' Chrome history and archives history, cookies, login data, top sites, web data, HTML5 databases and local storage
• the users' social and email accounts
• the WiFi access points the audited system has been connected to (and tries to geolocate them)

It also looks for suspicious keywords in the .plist themselves.

It can verify the reputation of each file on:

• Team Cymru's MHR
• VirusTotal
• Malware.lu
• your own local database

It can aggregate all logs from the following directories into a zipball:

• /var/log (-> /private/var/log)
• /Library/logs
• the user's ~/Library/logs

Finally, the results can be:

• rendered as a simple txt log file (so you can cat-pipe-grep in them… or just grep)
• rendered as a HTML log file
• sent to a Syslog server

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