imago Forensics : A Python Tool That Extract Digital Evidences From Images

Imago is a python tool that extract digital evidences from images recursively. This tool is useful throughout a digital forensic investigation. If you need to extract digital evidences and you have a lot of images, through this tool you will be able to compare them easily.

Imago allows to extract the evidences into a CSV file or in a sqlite database. If in a JPEG exif are present GPS coordinates, Imago can extract the longitude and latitude and it can convert them to degrees and to retrieve relevant information like city, nation, zip code…

It offers also the possibility to calculate Error Level Analysis, and to detect nudity these functionalities are in BETA.

Also Read – R3Con1Z3R : A Lightweight Web Information Gathering Tool With an Intuitive Features

Setup

Install imago:

$ pip install imago

Once installed, one new binary should be available: :

$ imago

And then it should output the imago’s banner

Requirements:

  • python 2.7
  • exifread 2.1.2
  • python-magic 0.4.15
  • argparse 1.4.0
  • pillow 5.2.0
  • nudepy 0.4
  • imagehash 4.0
  • geopy 1.16.0

Usage

usage: imago.py [-h] -i INPUT [-x] [-g] [-e] [-n] [-d {md5,sha256,sha512,all}]
[-p {ahash,phash,dhash,whash,all}] [-o OUTPUT] [-s]
[-t {jpeg,tiff}]
optional arguments:
-h, –help show this help message and exit
-i INPUT, –input INPUT
Input directory path
-x, –exif Extract exif metadata
-g, –gps Extract, parse and convert to coordinates, GPS exif
metadata from images (if any)It works only with JPEG.
-e, –ela Extract, Error Level Analysis image,It works only with
JPEG. BETA
-n, –nude Detect Nudity, It works only with JPEG, BETA
-d {md5,sha256,sha512,all}, –digest {md5,sha256,sha512,all}
Calculate perceptual image hashing
-p {ahash,phash,dhash,whash,all}, –percentualhash {ahash,phash,dhash,whash,all}
Calculate hash digest
-o OUTPUT, –output OUTPUT
Output directory path
-s, –sqli Keep SQLite file after the computation
-t {jpeg,tiff}, –type {jpeg,tiff}
Select the image, this flag can be JPEG or TIFF, if
this argument it is not provided, imago will process
all the image types(i.e. JPEG, TIFF)

The only required argument is -i which is the base directory from which imago will start to search for image file. You should also provide at least one type of extraction (i.e. exif, data, gps, digest).

Example:

$ imago -i /home/solvent/cases/c23/DCIM/ -o /home/solvent/cases/c23/ -x -s -t jpeg -d all

Where:

  • i path: is the base directory, where imago will search for file
  • o path: the output directory where imago will save the CSV file, with the extracted metadata
  • x : imago will extract EXIF metadata.
  • s: the temporary SQLite database will not be deleted after the processing.
  • t jpeg: imago will search only for jpeg images.
  • d all: imago will calculate md5, sha256, sha512 for the jpeg images.
R K

Recent Posts

GitButler : Revolutionizing Branch Management With Virtual Branches

GitButler is a git client that lets you work on multiple branches at the same…

14 hours ago

Minegrief : Unpacking A Crafty Minecraft Malware

Self-spreading to other Minecraft servers using an extendable, module-based lateral movement system. Crafty Controller Auth'd…

14 hours ago

ModTask – Task Scheduler Attack Tool

ModTask is an advanced C# tool designed for red teaming operations, focusing on manipulating scheduled…

3 days ago

HellBunny : Advanced Shellcode Loader For EDR Evasio

HellBunny is a malleable shellcode loader written in C and Assembly utilizing direct and indirect…

3 days ago

SharpRedirect : A Lightweight And Efficient .NET-Based TCP Redirector

SharpRedirect is a simple .NET Framework-based redirector from a specified local port to a destination…

3 days ago

Flyphish : Mastering Cloud-Based Phishing Simulations For Security Assessments

Flyphish is an Ansible playbook allowing cyber security consultants to deploy a phishing server in…

4 days ago