Thiruvananthapuram cyber crime police have arrested a 47-year-old man in connection with a large-scale online investment fraud case in which a victim was allegedly cheated of over ₹1.19 crore through fake stock trading schemes and digital manipulation.
Modus operandi: fake apps and social proof
Police identified the accused as Ramesh, a resident of Kannadi in Palakkad district, who is suspected to be the key operator behind the scam. The victim, a resident of Kadakampally, was allegedly targeted through social media platforms and convinced to invest money in a fraudulent trading setup.
According to police officials, the fraudsters initially contacted the complainant through social media and posed as representatives of a reputed United Kingdom-based investment company. They assured the victim that investments in their trading platform would yield unusually high returns, often more than double the invested amount.
To gain the victim’s trust, the accused allegedly used mobile applications and WhatsApp groups designed to closely resemble legitimate stock market trading platforms. These platforms displayed fabricated charts, profit margins, and account balances to create a false impression of real trading activity.
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Funds flow and digital deception
Believing the scheme to be genuine, the victim transferred large sums of money through multiple bank transactions into accounts provided by the accused. However, when the victim attempted to withdraw the funds or receive promised profits, he was repeatedly denied access.
Officials said that the fraudsters either stopped communication or provided excuses such as technical issues, account verification delays, or additional processing requirements, ultimately preventing any withdrawal of money.
Investigation, arrest and seizures
Realizing he had been cheated, the victim approached the police and lodged a complaint. Based on the complaint, a special investigation team was formed under the supervision of Thiruvananthapuram City Police, and a detailed cyber probe was initiated.
Investigators tracked digital footprints, including bank transaction records, mobile tower locations, and online communication trails, which eventually led to the identification and arrest of the accused. Police also seized several mobile phones, electronic gadgets, and documents allegedly used in the execution of the fraud.
Officials believe that the accused played a central role in orchestrating the scam and may have used multiple digital identities and accounts to avoid detection. Preliminary findings suggest that the operation was carefully structured to mimic legitimate financial trading systems and lure victims with unrealistic profit promises.
Police further stated that the accused and his network used social engineering techniques to build trust with victims, often engaging them in WhatsApp groups where fake “success stories” and fabricated profit screenshots were shared to encourage further investments.
Warnings and next steps
Authorities have warned the public against falling for such investment schemes promoted through social media platforms, especially those guaranteeing high or fixed returns. They emphasized that legitimate trading platforms are regulated by SEBI and do not offer guaranteed profits.
The police also reiterated that individuals should verify the authenticity of investment companies before transferring money and avoid joining unknown WhatsApp or Telegram investment groups.
Officials added that cyber fraud cases involving fake trading platforms have been increasing rapidly, with criminals exploiting digital tools and online anonymity to target unsuspecting investors.
The accused is currently in custody and is being interrogated to determine the full extent of the fraud, including the total number of victims and the amount of money involved. Investigators are also examining whether the scam is part of a larger interstate or organized cybercrime network.
Further investigation is underway, and police expect more details to emerge as digital evidence and financial trails are analyzed in depth.
