Ahmedabad police bust Re-NEET Paper scam, 2 arrested in ₹1.5 crore cyber fraud case

Ahmedabad Cyber Crime Branch has busted an interstate cyber fraud racket involving fake claims of access to Re-NEET examination question papers and arrested two accused from Rajasthan, police said on Monday.
Police clarified that no actual examination paper leak was involved and the case pertains to a cyber fraud operation targeting students and parents by exploiting concerns around the NEET re-examination.
According to officials, the accused used Telegram, Instagram and other social media platforms to circulate fake advertisements claiming access to the Re-NEET question paper and confidential exam material. Victims were allegedly asked to pay advance amounts for “premium access”.
The arrested accused have been identified as Sumer Singh Bharat Lal Meena, an ITI graduate from Jaipur, and Akash Pappulal Meena, a resident of Kota.
Police said investigators identified at least eight Telegram channels linked to the operation, where the accused allegedly built fake credibility by posing as successful students and claiming access to exam material.
Authorities stated that once a channel gained a large number of members, coordinated messages were posted to mislead victims into believing the claims were genuine.
Investigators also found that the network ran parallel investment scams through Telegram channels, further expanding its cyber fraud operations.
According to police, money collected from victims was routed through accounts linked to gaming platforms to obscure financial trails. Transactions worth around ₹1.5 crore have been traced so far, with multiple complaints from different states linked to the racket.
Preliminary findings suggest that over 1,000 individuals may have been targeted, with more than 70 confirmed victims in the examination-related scam. Police are continuing investigations to identify additional members of the network.
Officials confirmed that no NEET question papers were recovered, and reiterated that the case involves cyber fraud based on false claims and online deception.
