ios-backup-forensics

name

ios-backup-forensics

description

iOS backup forensics for messaging app analysis and 0-click exploit detection. Use this skill whenever investigating iOS devices for spyware, analyzing encrypted backups, extracting messaging attachments (iMessage/WhatsApp/Signal/Telegram/Viber), or scanning for structural file format exploits. Trigger on any iOS forensics task, backup analysis, or mobile device investigation involving Apple devices.

iOS Backup Forensics

A skill for reconstructing and analyzing iOS backups to detect 0-click exploit delivery via messaging app attachments.

Quick Start

# Reconstruct backup → Extract attachments → Scan for exploits
./scripts/reconstruct_backup.sh /path/to/backup
./scripts/scan_attachments.sh /path/to/reconstructed

Workflow Overview

1. Acquire & decrypt the iOS backup (encrypted preferred for keychain data)
2. Reconstruct the hashed backup into readable paths using Manifest.db
3. Enumerate messaging app attachments via SQL queries
4. Scan attachments with structural detectors for exploit signatures

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Step 1: Acquire the Backup

Encrypted Backup (Recommended)

Encrypted backups preserve keychain items and are required for full forensic value.

macOS Finder:

• Connect device → Finder → "Encrypt local backup" → Set password → Back Up Now

Cross-platform (libimobiledevice ≥1.4.0):

idevicepair pair
idevicebackup2 backup --full --encrypt --password '<pwd>' ~/backups/iphone-backup

Decrypt Existing Backup

If you have an encrypted backup, decrypt it first:

mvt-ios decrypt-backup -p '<pwd>' -d /tmp/dec-backup /path/to/encrypted-backup

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Step 2: Reconstruct the Backup

iOS backups use hashed filenames. Reconstruct them to readable paths:

./scripts/reconstruct_backup.sh /path/to/backup /tmp/reconstructed

This reads Manifest.db and recreates the original folder hierarchy.

Manual approach:

elegant-bouncer --ios-extract /path/to/backup --output /tmp/reconstructed

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Step 3: Enumerate Messaging Attachments

iMessage (sms.db)

sqlite3 /path/to/reconstructed/Library/SMS/sms.db < scripts/extract_imessage_attachments.sql

What it does:

• Joins message, attachment, and message_attachment_join tables
• Returns attachment paths, message dates, sender/receiver info
• Includes chat names via chat_message_join

WhatsApp (ChatStorage.sqlite)

sqlite3 /path/to/reconstructed/AppDomainGroup-group.net.whatsapp.WhatsApp.shared/ChatStorage.sqlite < scripts/extract_whatsapp_attachments.sql

What it does:

• Queries ZWAMEDIAITEM for media paths
• Converts Apple epoch timestamps to readable dates
• Shows message direction (incoming/outgoing)

Other Apps

• Signal: Message DB is encrypted, but scan Library/Caches/ for cached attachments
• Telegram: Check Library/Caches/ for residual media (iOS 18 has cache-clearing bugs)
• Viber: Query Viber.sqlite for message/attachment tables

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Step 4: Scan for Structural Exploits

Run structural detectors on extracted attachments:

./scripts/scan_attachments.sh /path/to/reconstructed

Detections include:

• PDF/JBIG2 FORCEDENTRY (CVE-2021-30860): Impossible dictionary states
• WebP/VP8L BLASTPASS (CVE-2023-4863): Oversized Huffman tables
• TrueType TRIANGULATION (CVE-2023-41990): Undocumented bytecode opcodes
• DNG/TIFF CVE-2025-43300: Metadata vs. stream mismatches

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IOC-Driven Triage (Optional)

Use MVT for automated IOC matching:

mvt-ios check-backup -i indicators.csv /path/to/dec-backup

Results land in mvt-results/ (e.g., analytics_detected.json, safari_history_detected.json).

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General Artifact Parsing

For timeline/metadata beyond messaging:

python3 ileapp.py -b /path/to/dec-backup -o /tmp/ileapp-report

Supports iOS 11-17 schemas.

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Important Notes

Time Conversions

• iMessage uses Apple epoch units on some versions
• WhatsApp uses ZMESSAGEDATE (Unix epoch + 978307200 offset)
• Convert appropriately during reporting

Schema Drift

• App SQLite schemas change over time
• Verify table/column names per device build
• Check PRAGMA table_info(table_name) if queries fail

False Positives

• Structural heuristics are conservative
• May flag rare malformed but benign media
• Always validate detections manually

Recursive Extraction

• PDFs may embed JBIG2 streams and fonts
• Extract and scan inner objects for nested exploits

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References

• ElegantBouncer - iOS backup forensics tool
• MVT iOS Backup Workflow
• libimobiledevice 1.4.0