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

Debian vs Ubuntu Server: Which Linux Server OS Wins?

Choosing between Debian vs Ubuntu is one of the most common decisions Linux administrators face…

49 minutes ago

Check Ubuntu Version Using Simple Linux Commands

Knowing how to Check Ubuntu Version details is essential for system administration, troubleshooting, and software…

4 hours ago

Create Sudo User on Ubuntu for Secure Admin Access

Managing a Linux server becomes much safer when you Create Sudo User accounts instead of…

7 hours ago

List Installed Packages on Ubuntu Like a Pro

Managing software on Linux becomes much easier when you know how to List Installed Packages…

8 hours ago

How To Use Variables In Bash Scripts

Introduction Variables are one of the most important basics of Bash scripting. A variable is…

1 day ago

How To Run A Bash Script In Linux Step By Step

Introduction Running a Bash script in Linux is a basic but important skill for anyone…

1 day ago