Headlines
Loan app scam: Rs 500 cr sent to China; 22 Indians arrested
New Delhi, Aug 20
The Intelligence Fusion and Strategic Operations (IFSO) Unit of Delhi Police's Special Cell has busted various modules of instant loan applications having Chinese connection, and arrested 22 people in the last two months for allegedly siphoning off Rs 500 crore to China by the hawala route or by investing in crypto-currency, an official said on Saturday.
The arrested individuals were working on behest of Chinese nationals. Deputy Commissioner of Police KPS Malhotra said that hundreds of complaints were received by Delhi Police that instant loan applications are disbursing loans at higher rates and even after payment of loan, they are extorting money using the morphed nude pictures.
"The IFSO took cognizance of the same and started analysing the complaints during which it was found that more than 100 such apps are involved in the loan and extortion racket," Malhotra said.
The police carried out extensive technical analysis after which it was learnt that all the apps were seeking "malicious permissions" from the user.
After obtaining the access permissions, the contacts, chats, messages and images of the user were being uploaded to the servers based in China and Hong Kong. The analysis of the money route also revealed that the money was being routed to China through Hawala and crypto-currencies.
"Applications were developed in the garb of loan providing apps. These applications were malicious in nature and seek all permissions from the user. Applications were hosted on Google Play and websites. Users in need of loan downloaded the applications by granting all the permission. Soon after this, the application started uploading the contact lists, chats, images of the user to the servers hosted in China and other parts," the police officer said.
This data was also sold to different private firms.
The customers were receiving calls from different numbers (procured on fake IDs) forcing them to pay more and more by threatening them using the morphed pictures. Due to fear and stigma, the users began paying them money in different bank accounts opened against fake IDs.
The money collected was diverted to specific bank accounts and then sent to China through Hawala or after purchasing cryptocurrencies.
"People who were in dire need of a small loan ranging from Rs 5,000 to 10,000 is being forced to pay even in lakhs," the official claimed.
The financial trial revealed that multiple accounts are being used for getting the amount. In each of the account, transactions of more than Rs 1 crore was being credited daily.
Identities of few Chinese nationals have been confirmed and efforts are being made to trace and arrest them.
"From the analysis of the financial trail and other technical analysis, it was also revealed that Chinese nationals are actively involved in these loan applications scams. Further, after police crackdown, they are shifting their recovery call centres to Pakistan, Nepal and Bangladesh," the police said.
16 minutes ago
Adani investors lost no money in securities, says US DoJ
17 minutes ago
Adani case: US DoJ says courts can't second-guess prosecutors
1 hour ago
Huma Qureshi says 'my biggest strength was taken away from me' on 'Baby Do Die Do'
1 hour ago
David Beckham on 27 years of marital bliss with Victoria: Our proudest achievement is our family
2 hours ago
Shruti Haasan reveals Sridevi is her all-time favourite Tamil actress
2 hours ago
When Vidya Balan revealed how her mother reacted to her doing 'Hum Paanch'
2 hours ago
'Cape Verde proved they're a great team': Scaloni after FIFA WC thriller
4 hours ago
Pakistan serving as China's strategic defence gateway to Middle East, wider region: Report
4 hours ago
Trump praises Usha Vance on children's podcast
4 hours ago
Khamenei's farewell: Iranian Speaker Ghalibaf, FM Araghchi break down in tears
4 hours ago
Trump honours Rushmore's four Presidents during 250 years of independence speech
4 hours ago
Trump defines 'what it means to be an American'
4 hours ago
Trump says US culture and national identity under attack
