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STF Exposes Multi-Crore Fake Government Recruitment Network Targeting Job Seekers

Two Arrested in Moradabad as Police Probe ₹5 Crore Job Fraud
July 4, 2026 by
STF Exposes Multi-Crore Fake Government Recruitment Network Targeting Job Seekers
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The Uttar Pradesh Special Task Force has busted an alleged fake government recruitment racket that reportedly cheated more than 50 job aspirants of over ₹5 crore by promising jobs in Indian Railways, the Indian Army and the Postal Department.

Two key accused were arrested from the Dilaari area of Moradabad and handed over to local police. Investigators are now tracing other members of the alleged network.

Accused Targeted Youth Preparing for Government Jobs

The arrested accused have been identified as Vivek Kumar of Bilari, Moradabad, and Ashraf Ali of Dhakia Peeru, Dilaari.

According to officials, the gang operated from Moradabad and Delhi and specifically targeted unemployed youth from coaching centres, colleges and competitive exam circles.

Victims were allegedly charged between ₹10 lakh and ₹15 lakh each in exchange for promised government employment.

Fake Appointment Letters and Email IDs Used

Investigators said the accused created fake email IDs using the names and logos of government departments.

Through these forged channels, candidates were allegedly sent fake appointment letters to make them believe they had been selected.

The gang also allegedly showed fabricated documents and official-looking recruitment material to gain trust.

Candidates Taken to Delhi for Fake Training

Police said several victims were taken to Delhi, where they were shown government department premises and introduced to another gang member posing as an official.

During the staged process, candidates were allegedly issued fake identity cards and made to undergo a short “training” routine.

After about a week, they were sent back home, only to later realise that the entire recruitment process was fake.

More Than 50 Victims Identified So Far

Police have identified victims from districts including Moradabad, Meerut and Baghpat.

Officials estimate that the gang collected more than ₹5 crore through the alleged scam.

The STF is now examining bank accounts, digital records, transaction trails and victim statements to trace the full money trail.

Wider Network Under Investigation

According to officials, Vivek Kumar works as a Shikshamitra and is a differently-abled individual.

Investigators allege that he formed the gang around two to three years ago with associates, including technically skilled members who prepared forged documents and handled digital operations.

Police are also probing possible links with similar job fraud networks in other states.

Job Seekers Advised to Verify Offers

Authorities have urged aspirants to verify every recruitment claim only through official government portals and notified selection procedures.

No legitimate government recruitment process requires payment to private agents for guaranteed selection.

Maintaining clear records through bookkeeping services in india can help victims preserve payment proof, track financial transactions and support legal action in fraud cases.

Conclusion

The alleged ₹5 crore recruitment racket highlights how fake appointment letters, staged training and forged digital communication can be used to exploit unemployed youth.

Job seekers should treat any demand for money in exchange for government employment as a major warning sign and immediately verify such claims through official channels.

Shunyatax Global Insight

Recruitment fraud often succeeds because it combines aspiration, urgency and forged documentation. When job seekers are shown fake emails, appointment letters and training processes, the deception appears highly convincing.

Shunyatax Global believes individuals must maintain proper payment records, communication proof and document trails during any recruitment process. Professional bookkeeping services in india can help organise financial evidence, track suspicious payments and strengthen recovery or legal proceedings when fraud is detected.

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