iOS Forensics

iOS devices employ strong security measures requiring specialized approaches:

iOS Acquisition Tools and Methods:

# Using libimobiledevice for logical acquisition
idevicebackup2 backup --full /path/to/backup/

# Extract specific data types
idevicecrashreport -e /path/to/crashes/
idevicesyslog > device_logs.txt

Checkra1n Acquisition (for compatible devices):

Exploits bootrom vulnerability
Provides file system access
Works on iPhone 5s through iPhone X
Requires physical access

iOS Data Analysis:

import sqlite3
import plistlib

def analyze_ios_sms(backup_path):
    # Open SMS database
    sms_db = f"{backup_path}/3d0d7e5fb2ce288813306e4d4636395e047a3d28"
    conn = sqlite3.connect(sms_db)
    cursor = conn.cursor()
    
    # Query messages
    cursor.execute("""
        SELECT 
            message.date,
            message.text,
            handle.id as contact
        FROM message
        LEFT JOIN handle ON message.handle_id = handle.rowid
        ORDER BY message.date DESC
    """)
    
    messages = cursor.fetchall()
    return messages

def parse_ios_plist(plist_path):
    with open(plist_path, 'rb') as f:
        plist_data = plistlib.load(f)
    return plist_data

Key iOS Artifacts:

SMS/iMessage: sms.db
Call History: CallHistory.storedata
Contacts: AddressBook.sqlitedb
Safari History: History.db
Location Services: consolidated.db
Photos: Photos.sqlite
Application Data: Per-app containers