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Md. Arman Hossain, 22, has been arrested. He is a student of Computer Science and Engineering (CSE) at a private university. He was caught in a raid in the Manikdi area near the Cantonment Police Station on Tuesday (May 5). The CID’s Cyber Police Center (CPC) shared this news on Thursday (May 7).
According to the CID, In October last year, the Cyber Monitoring Cell found out that NID data, SMS lists, and bank and MFS account info were being sold in a Facebook ad. Because of this, two people were arrested: Siam Hawlader from Laxmipur and later Al-Amin from Koyra, Khulna. With their help, they found out that the main person behind this was Arman.
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The officials involved in the investigation said that Arman is a skilled programmer. He used this skill to make an Android app and website called ‘Sab Ekhna’. While other gang members did the marketing, Arman took care of the technical part. The gang gathered information illegally from secret databases nationwide and sold it through this app for money.
Three mobile phones, six SIM cards (three were bKash Merchant SIMs), and a laptop were taken from Arman when he was arrested. In the first questioning, Arman said he got this sensitive information via WhatsApp with help from a certain group.
CID Special Superintendent of Police (Media) Jasim Uddin Khan said that the arrested accused has been sent to the court with a remand application.
Investigations are underway to reveal who else is involved in this gang and where the source of the information leak is. CID has advised the general public to be awere of such online offers.
CID officials said they are still investigating to find the whole network involved in the illegal data trade and to trace where the leak started. Authorities think more people might be part of this operation, raising big questions about how private national information is accessed and shared. This incident shows again the increasing dangers of cybersecurity and the safety of personal data in Bangladesh. Experts advise that people should be careful when using unknown apps, websites, or online deals that might collect or misuse sensitive information.
