New Delhi (PTI): The Delhi Police has busted a major international cyber fraud syndicate -- linked with over 2,000 complaints and scams worth over Rs 300 crore -- with the arrest of its alleged mastermind and 10 others, an official said on Sunday.
During the investigation, police uncovered a well-organised network operating across multiple states with links to international cyber fraud syndicates, particularly in Cambodia.
"We have so far identified over 260 bank accounts linked to more than 100 fictitious companies used to channel the proceeds of crime. The total number of complaints linked to the syndicate stands at 2,567," police said.
The key accused, Karan Kajaria, was apprehended at Kolkata airport on April 3 after a Look Out Circular was issued against him. He was brought to Delhi a day later for further investigation, Deputy Commissioner of Police (Crime Branch) Aditya Gautam said.
The case came to light following a complaint by a city resident, Sultan, who alleged that he was duped of Rs 31.45 lakh after being lured into an investment scheme.
Police said the victim was persuaded to download a fake trading application and invest money with promises of high returns. However, when he attempted to withdraw the profits, the application stopped functioning, and the group became inaccessible.
"An FIR was registered at the cyber police station in northeast and later transferred to the crime branch for a detailed probe," the officer said.
The syndicate created fake investment platforms and messaging groups to lure victims. They used mule bank accounts arranged through intermediaries and deployed malicious applications to capture sensitive banking details, including OTPs. Funds collected from victims were routed through a complex web of bank accounts and shell companies to conceal the trail, police said.
"Kajaria, who is believed to be the main coordinator, maintained direct links with foreign-based operators and facilitated the movement of funds through cryptocurrency channels,' the DCP said.
He acted as a bridge between Indian operatives and international cyber criminals. He was also involved in procuring mule bank accounts and sharing sensitive banking details via encrypted social media platforms, the DCP added.
Police said Kajaria frequently travelled abroad to establish and strengthen links with overseas fraud networks and had attempted to evade arrest by staying outside India.
Technical surveillance helped investigators trace the network to Kolkata, where several bank accounts and shell entities were found to be operating. Upon his arrival in India, Kajaria was intercepted at the airport and taken into custody.
During interrogation, he allegedly confessed to his involvement in the syndicate, police said, adding that accounts linked to his network were associated with more than 2,500 complaints registered on the National Cybercrime Reporting Portal and fraud of Rs 300 crore, the DCP said.
The investigation revealed that the syndicate had been active for the past four to five years and operated on a large scale across multiple states.
During the crackdown, police recovered 48 mobile phones, 258 SIM cards, multiple ATM cards and cheque books, four laptops, and several banking and KYC documents. Funds amounting to Rs 19 lakh have also been frozen. A total of 11 accused have been arrested in the case so far, police said, adding that further investigation is underway to identify other members of the syndicate.
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Bengaluru: The Vartha Bharati–Sankalp election analysis has shown a high level of accuracy in predicting the outcome of the recent Karnataka Assembly by-elections held in May 2026, correctly calling winners in both constituencies and closely estimating vote share trends.
The by-elections were held in Bagalkot and Davanagere South, drawing significant political attention as both seats were seen as key tests for the ruling Congress and opposition BJP.
According to the analysis, Vartha Bharati–Sankalp had made three major projections ahead of the results the winning party, vote share percentages, and margin of victory.
In both constituencies, the platform accurately predicted that the Congress would emerge victorious. The outcome matched the projections, with Congress candidates winning in Bagalkot and Davanagere South.
In terms of vote share, the predictions were largely in line with the final results. In Bagalkot, the BJP’s vote share was forecast in the range of 40 to 46 per cent, while the actual figure stood at 42.9 per cent. The Congress vote share, however, exceeded expectations, with the party securing 55.4 per cent against a projected range of 43 to 48 per cent.
The margin of victory in Bagalkot turned out to be significantly higher than anticipated. While the projection had placed the margin between 2,000 and 3,500 votes, the final margin was around 22,332 votes.
In Davanagere South, the predictions also remained largely accurate. The Congress vote share was projected between 43 and 51 per cent, and the final figure stood at 43.9 per cent. The BJP was expected to secure between 42 and 50 per cent but ended with 40.3 per cent.
The analysis had also identified the role of SDPI as a potential spoiler in the constituency. While its vote share was estimated around 6 per cent, the party eventually secured around 12 per cent of the vote.
The margin of victory in Davanagere South was predicted to be between 1,500 and 2,600 votes. The actual margin was higher at around 5,708 votes, though the contest remained relatively close as anticipated.
Overall, the performance of Vartha Bharati–Sankalp stood out for correctly identifying the winning parties in both seats and maintaining close accuracy in vote share estimates, with only limited deviations in specific cases.
