Achive.php June 23, 2025 - The Cyber Shark
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Archives for June 23, 2025

5 arrested in Delhi operations targeting Chinese cyber scam networks

5 arrested in Delhi operations targeting Chinese cyber scam networks

Delhi Police arrested five people linked to Chinese-operated cyber scam networks involving fake investment and online job frauds. In a major crackdown, Delhi Police arrested five individuals this week involved in separate cyber fraud networks linked to Chinese handlers, operating via Telegram and WhatsApp. The accused reportedly laundered over ₹36 lakh using fake investment platforms, cryptocurrency, and money mules across India and Nepal. In North-West Delhi, Cyber Police arrested Pawan and Mankiraat Dhillon for cheating a victim of ₹21 lakh through a fake share market investment app. The app mimicked legitimate brokerage platforms to display fake returns, while transactions were made into bank accounts tied to cybercriminals. The accused maintained contact via Telegram and allegedly supplied Indian bank accounts to Chinese nationals. The fraudsters were traced and arrested in Mohali, Punjab, with police recovering SIM cards, cheque books, ATM cards, mobile phones, and evidence of travel to Nepal, where some of the scammed funds were received. In a separate operation, the Cyber Police Station of the South-West District busted an interstate fraud syndicate. Three accused—Mahender Singh Rajawat, Ariph Khan, and Laxmi Narayan Vaishy—from Jaipur were arrested after duping a man of ₹15.8 lakh through a fake online review job scam. Initially paid small amounts for tasks, the victim was later lured into paying large sums under pretexts like “welfare tasks” and “credit improvement.” The investigation revealed that the gang used USDT (cryptocurrency) to route money out of India within 20 minutes of receipt, evading traceability. “The fraud network had direct links to a Chinese national operating via Telegram from abroad,” stated the police press release. Security Advice: These arrests highlight how foreign-linked cyber scams exploit Telegram, fake apps, and cryptocurrency to defraud Indian citizens. Protect Yourself from Cyber Fraud: Refrain from downloading unknown apps or opening dubious links. Never invest based on WhatsApp/Telegram promotions Be cautious of too-good-to-be-true online job offers Enable 2FA and monitor financial transactions Report scams at: www.cybercrime.gov.in

Shoplifters are apprehended by this AI technology before they even steal anything

Shoplifters are apprehended by this AI technology before they even steal anything

A Paris-based start-up, Veesion, has created an AI surveillance system that can detect suspicious gestures before shoplifting occurs. Launched in 2018, the tech is now used in over 5,000 stores across Europe, the US, and Canada, helping retailers prevent theft before it happens. Without keeping personal information or utilising biometrics, Veesion’s gesture-recognition AI examines body movement to identify questionable behaviour.  The solution delivers personnel real-time notifications through a mobile app and connects with current CCTV setups. “The algorithm is indifferent to people’s appearance.  As stated by Benoit Koenig, a co-founder of Veesion, “It only cares about how your body parts move over time.” It detects actions like concealing items or irregular handling of products, and immediately alerts the security team with video evidence. Within three months, a shop in the United States reduced losses in the health and beauty department by fifty per cent. The startup recently raised ₹373 crore ($43 million) in Series B funding to expand globally. The tech also helps detect employee theft, which accounts for similar losses as customer shoplifting. “It acts as a deterrent. Staff know AI is watching,” Koenig added. Advice: Veesion’s AI shows how gesture-based surveillance could revolutionise theft prevention in physical stores, without invading privacy. Security Insights for Retailers: Upgrade to AI-enhanced CCTV systems Train staff to respond to real-time alerts Use non-biometric solutions to respect privacy laws Regularly audit security footage for internal theft

Lucknow police bust ₹80 lakh crypto fraud racket, eight arrested

Lucknow police bust ₹80 lakh crypto fraud racket, eight arrested

Lucknow Police uncovered a ₹80 lakh crypto fraud and arrested 8 people involved in illegal USDT trading via Telegram. In a breakthrough against digital fraud, Lucknow Police arrested eight individuals on June 21, 2025, for siphoning off nearly ₹80 lakh through fake USDT (Tether) crypto trading. The racket operated from Lucknow and nearby districts, exploiting loopholes in crypto laws and bank verification systems, as revealed by the Cyber Crime Police. The accused were part of a well-organised cyber racket that transferred illicit money via anonymous Telegram channels operated by Chinese handlers, according to a press release by the Cyber Crime Police Station, Lucknow. They used TRC-20 blockchain network wallets, bypassing Indian legal scrutiny by avoiding KYC. Local “mule” accounts were created to receive money via NEFT, RTGS, and IMPS, withdraw the same day and convert into USDT through peer-to-peer crypto brokers. “These criminals exploited P2P wallets that function without verification, making it nearly impossible to trace funds,” said Inspector Brijesh Kumar Yadav, Cyber Crime Police. During raids, police recovered: ₹1.85 lakh in cash 16 mobile phones 2 laptops and a tablet 4 cars Cheque books and bank passbooks The arrested include youth aged 21–40 years from Lucknow, Basti, Rae Bareli, Gonda, and Barabanki. The accused failed to present any valid crypto exchange records or KYC documents, which confirmed the illegitimacy of their operations. Police booked them under BNS Sections 317(2), 318(4), 61(2), and 111(2) (B) and IT Act Sections 66C and 66D, commonly used for cyber and identity-related fraud. Security Advice: This case exposes how cross-border digital scams are being run under the cover of “crypto trading,” exploiting unregulated platforms and mule accounts in India. Stay protected with these tips: Avoid P2P crypto deals without KYC Do not share bank details or receive suspicious deposits Always verify apps and trading platforms Enable two-factor authentication Report fraud at: www.cybercrime.gov.in