Four team members #Behnama 2 -Iran exposed

We found new information on Gitlab that was referenced in a file on Github. Here are the four team member of the Behnama2.

Same member as on Github.
The more seen being Hossein Daneshvar.

 

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• Behnama II
• Group members

• Members4

Hossein Daneshvar@daneshvar.ho

Direct member

Owner

User created: Oct 21, 2018

Access granted: May 27, 2020

Last activity: Apr 23, 2023

Behnama Explained – Iran Exposed

Mohsen Hatami@mohsenhatami

Direct member by Hossein Daneshvar

Maintainer

User created: Apr 14, 2017

Access granted: Jun 01, 2020

Last activity: Jul 30, 2022

Soheil Aghayan@sidg105

Direct member by Hossein Daneshvar

Maintainer

User created: Jun 02, 2020

Access granted: Jun 06, 2020

Last activity: Jun 05, 2020

sepehr rafiei🙂@sep_

Direct member by Hossein Daneshvar

Maintainer

User created: Aug 11, 2019

Access granted: Jun 06, 2020

Last activity: Apr 25, 2021

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UPDATE

The domain ficld.ir is affiliated to the Behnama software.

https://www.shodan.io/domain/ficld.ir

UPDATE

One of the protocols use by Behnama, the MQTT, for the Fanap network, is hosted in USA.

Fanap – Passargad Arian Information & communication Tehchnology

https://www.shodan.io/search?query=country%3A%22IR%22+port%3A1883+product%3A%22MQTT%22+org%3A%22Fanap+-+Passargad+Arian+Information+%26+communication+Tehchnology%22


In a video surveillance system using facial recognition, MQTT (Message Queuing Telemetry Transport) on the server is generally responsible for handling real-time messaging between different components of the system.

Here are some specific tasks:

• Data Ingestion: Collects data from various edge devices like cameras and sensors.

• Event Notification: Sends alerts or notifications based on facial recognition results. For example, if an unauthorized face is detected, MQTT can trigger an alert.

• Command and Control: Allows for remote commands to be sent to edge devices. For instance, you could change the angle of a camera or initiate a lockdown.

• Data Forwarding: Sends the facial recognition data to other systems like databases, analytics engines, or user interfaces.

• Scalability and Load Balancing: Distributes messages across multiple consumers/subscribers to ensure the system scales efficiently.

• Secure Communication: Provides options for secure transmission of data using SSL/TLS.