shot-button
Subscription Subscription
Home > Mumbai > Mumbai News > Article > Mumbai Crime Seven arrested from Navghar for duping US citizens

Mumbai Crime: Seven arrested from Navghar for duping US citizens

Updated on: 26 August,2018 06:28 AM IST  |  Mumbai
A Correspondent |

Acting on a tip-off the Navghar police arrested seven people who threatened the US citizens to shell out loan tax or face legal consequences

Mumbai Crime: Seven arrested from Navghar for duping US citizens

The seven who operated from a flat in Harkesh

Seven persons have been arrested by the Navghar police for targetting US citizens and cheating them on the pretext of paying tax on loans. Bhayandar SP Atul Kulkarni said based on a tip-off, they raided a flat at Hariya Dreampark in Harkesh. There the police found the accused running an office from where they targetted victims.


Kulkarni said the accused had got in touch with an agent-based outside Mumbai, who sold loan account data of US citizens. From the data, they would pick mobile numbers and make internet-based calls. They would then threaten the victims saying they would have to shell out loan tax or else face legal consequences. They would then share details of an account with them and once the amount was transferred, they would convert it into bitcoin and later into Indian currency. The seven were arrested under various sections of the Indian Penal Code and under the IT Act.


Also Read: Navghar Police Arrests Two Burglars For Stealing Goods Worth Rupees Two Lakhs


Catch up on all the latest Mumbai news, crime news, current affairs, and also a complete guide on Mumbai from food to things to do and events across the city here. Also download the new mid-day Android and iOS apps to get latest updates

"Exciting news! Mid-day is now on WhatsApp Channels Subscribe today by clicking the link and stay updated with the latest news!" Click here!


Mid-Day Web Stories

Mid-Day Web Stories

This website uses cookie or similar technologies, to enhance your browsing experience and provide personalised recommendations. By continuing to use our website, you agree to our Privacy Policy and Cookie Policy. OK