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

How OpenClaw Works

Imagine if you had a super-powered assistant who could automatically handle all the boring, repetitive…

5 hours ago

How to Use the Linux find Command to Locate Files Like a Pro

Managing files efficiently is a core skill for anyone working in Linux, whether you're a…

2 days ago

How to Check Open Ports in Linux Using netstat, ss, and lsof

Open ports act as communication endpoints between your Linux system and the outside world. Every…

2 days ago

Best Endpoint Monitoring Tools for 2026

Introduction In today’s cyber threat landscape, protecting endpoints such as computers, smartphones, and tablets from…

5 days ago

Best 9 Incident Response Automation Tools

Introduction In today's fast-paced cybersecurity landscape, incident response is critical to protecting businesses from cyberattacks.…

5 days ago

How AI Puts Data Security at Risk

Artificial Intelligence (AI) is changing how industries operate, automating processes, and driving new innovations. However,…

2 months ago