digkit (Digital Forensics Toolkit)

A command-line Python tool for looking up application and device information, collecting and parsing data from various sources, and generating file hashes.

Installation

git clone https://github.com/campwill/digkit.git
cd digkit
pip install .

This installs digkit as a command-line tool.

Usage

digkit [-h] <command> ...

Commands

lookup

Look up information associated with application and device identifiers.

• bundleid: Identifies application names from bundle IDs across app stores (Apple, Google, and Galaxy).

• domain: Look up information associated with a domain name.

  • whois: Search for WHOIS information associated with a domain name.
  • dns: Search for DNS record associated with a domain name.

• iccid: Decodes information from an Integrated Circuit Card Identifier (ICCID) number.

parse

Collect, process, and parse information from various data sources.

• database: Parses notable artifacts from a selection of supported databases:

  • dwbcommon: Decodes usage events from dwbCommon.db.
  • notestore: Extracts Apple secure note hashes (in hashcat format) from NoteStore.sqlite.

• warrant: Tools used for preparing Apple warrant return data.

  • download: Downloads all .gpg files from an Apple-supplied .csv file.
  • decrypt: Decrypts all downloaded .gpg files from within a single diretory.

hash

Apply common hashing algorithms (MD5, SHA1, SHA256) to files.

Examples

Below are some examples of possible commands:

Bundle ID Lookup

# command
digkit lookup bundleid -s apple com.toyopagroup.picaboo

# output
Snapchat

ICCID Lookup

# command
digkit lookup iccid 8981100022152967705

# output
Your SIM Card number, 8981100022152967705, uses ICCID format:

Major Industry Identifier (MII): 89 - Telecom - Private agency
International Calling Region: 81 - Japan
Issuer: 10 - NTT DOCOMO, INC.
Account Number: 002215296770
Checksum: 5

Parsing NoteStore.sqlite

# command
digkit parse database -d notestore -i NoteStore.sqlite -o . -f txt

# output
Saved TXT: ./notestore.txt

File Hashing

# command
digkit hash -a md5 -i file.txt

# output
MD5 (file.txt): 3e924496fd0105e8bbbb872030465995

Notes

I plan to add the following features:

• IMEI lookup
• Cache.sqlite and knowledgeC.db parsers
• Apple warrant return parser
• comparitive hashing features