GST fraud of Rs 940 cr busted, 340 bogus firms under lens
At least six people were arrested after Delhi Police's Cyber Crime Unit (CyPAD) busted a GST refund scam, involving fake business transactions worth Rs 940 crore. As many as 340 bogus companies suspected to be involved in fake business transactions are under the scanner, according to the CyPAD. Commenting on the case, police said the fraudsters used fake or stolen PAN and Aadhaar cards in order to generate the GST number. They have registered fake firms on the GST portal and also procured multiple SIM cards on fake documents.
Subsequently, the details of the bogus firms were sold to business entities or individuals who then used those to show fake sale and purchase transactions through bogus GST returns for evading tax and transferring the tax liability or claiming refunds.
"Once a fake firm has been registered and GST number was allotted, bogus business transactions are conducted with another fake firm and likewise the transaction steps are repeated up to 4 layers for the purpose of avoiding suspicion of GST department because the business transactions of previous two to three levels are checked by the department before sanctioning the GST refunds," said Anyesh Roy, DCP Cyber Crime.
The accused have also opened bank accounts on the basis of forged IDs including PAN numbers. Using these firms, fake sale and purchase transactions are shown from one another by filing bogus GST returns and claiming a difference in GST as a refund.
All the six accused persons have worked as data entry operators in the VAT and GST departments on a contract basis and were well conversant with the vulnerabilities of the taxation system and the ways to take advantage of the existing GST slabs to claim a fake refund.
"During the investigation, 340 companies suspected to be involved in fake reimbursement of GST have so far been identified," the officer added.
A total of 25 bank accounts used for claiming GST returns have been freezed. A total of Rs 48 lakh has been found to be frozen as fraudulently obtained refunds in these bank accounts. More such fraudulently obtained refunds are likely to be identified.
(With IANS inputs)
