Kamerka GUI – Advanced Reconnaissance For IoT And ICS

Kamerka GUI stands as the ultimate reconnaissance tool for the Internet of Things (IoT) and Industrial Control Systems (ICS).

Developed with support from powerful platforms like Shodan and enhanced by resources from Binary Edge and WhoisXMLAPI, this tool offers an unparalleled view into the security posture of critical infrastructures worldwide.

Explore how Kamerka GUI leverages open-source information and exploits to pinpoint and analyze vulnerable connected devices across various sectors.

NSA And CISA Recommend Immediate Actions To Reduce Exposure Across Operational Technologies And Control Systems

Shodan, Kamerka, are creating a “perfect storm” of

easy access to unsecured assets,
use of common, open-source information about devices, and
an extensive list of exploits deployable via common exploit frameworks (e.g., Metasploit, Core Impact, and Immunity Canvas).

Usage

1. Scan for Internet facing Industrial Control Systems, Medical and Internet of Things devices based on country or coordinates.

2. Gather passive intelligence from WHOISXML, BinaryEdge and Shodan or active by scanning target directly.

3. Thanks to indicators from devices and google maps, pinpoit device to specific place or facility (hospital, wastewater treatment plant, gas station, university, etc.)

4. (Optional, not recommended) 4. Guess/Bruteforce or use default password to gain access to the device. Some exploits are implemented for couple specific IoTs.

5. Report devices in critical infrastructure to your local CERT.

Features

More than 100 ICS devices
Gallery section shows every gathered screenshot in one place
Interactive Google maps
Google street view support
Possibility to implement own exploits or scanning techiques
Support for NMAP scan in xml format as an input
Find the route and change location of device
Statistics for each search
Search Flick photos nearby your device
Position for vessels is scraped from device directly, rather than IP based
Some devices return hints or location in the response. It’s parsed and displayed as an indicator that helps to geolocate device.

Installation

Requirements

beautiful soup
python3
django
pynmea2
celery
redis
Shodan paid account
BinaryEdge (Optional)
WHOISXMLAPI (Optional)
Flickr (Optional)
Google Maps API
Pastebin PRO (Optional)
xmltodict
python-libnmap

Make sure your API keys are correct and put them in keys.json in main directory.

Run

git clone https://github.com/woj-ciech/Kamerka-GUI/
pip3 install -r requirements.txt
python3 manage.py makemigrations
python3 manage.py migrate
python3 manage.py runserver

In a new window (in main directory) run celery worker celery worker -A kamerka --loglevel=info

For new version of Celery celery --app kamerka worker

In a new window fire up redis apt-get install redis redis-server

And server should be available on http://localhost:8000/

For more information click here.

Varshini

Tamil has a great interest in the fields of Cyber Security, OSINT, and CTF projects. Currently, he is deeply involved in researching and publishing various security tools with Kali Linux Tutorials, which is quite fascinating.