#FactCheck- AI-Generated Train Video Falsely Shows Muslims Praying in Japan A video purportedly showing

Executive Summary:

A viral video of the Argentina football team dancing in the dressing room to a Bhojpuri song is being circulated in social media. After analyzing the originality, CyberPeace Research Team discovered that this video was altered and the music was edited. The original footage was posted by former Argentine footballer Sergio Leonel Aguero in his official Instagram page on 19th December 2022. Lionel Messi and his teammates were shown celebrating their win at the 2022 FIFA World Cup. Contrary to viral video, the song in this real-life video is not from Bhojpuri language. The viral video is cropped from a part of Aguero’s upload and the audio of the clip has been changed to incorporate the Bhojpuri song. Therefore, it is concluded that the Argentinian team dancing to Bhojpuri song is misleading.

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Claims:

A video of the Argentina football team dancing to a Bhojpuri song after victory.

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Fact Check:

On receiving these posts, we split the video into frames, performed the reverse image search on one of these frames and found a video uploaded to the SKY SPORTS website on 19 December 2022.

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We found that this is the same clip as in the viral video but the celebration differs. Upon further analysis, We also found a live video uploaded by Argentinian footballer Sergio Leonel Aguero on his Instagram account on 19th December 2022. The viral video was a clip from his live video and the song or music that’s playing is not a Bhojpuri song. 

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Thus this proves that the news that circulates in the social media in regards to the viral video of Argentina football team dancing Bhojpuri is false and misleading. People should always ensure to check its authenticity before sharing.

Conclusion:

In conclusion, the video that appears to show Argentina’s football team dancing to a Bhojpuri song is fake. It is a manipulated version of an original clip celebrating their 2022 FIFA World Cup victory, with the song altered to include a Bhojpuri song. This confirms that the claim circulating on social media is false and misleading.

• Claim: A viral video of the Argentina football team dancing to a Bhojpuri song after victory.
• Claimed on: Instagram, YouTube
• Fact Check: Fake & Misleading

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Introduction

In the labyrinthine world of digital currencies, a new chapter unfolds as India intensifies its scrutiny over the ethereal realm of offshore cryptocurrency exchanges. With nuance and determination that virtually mirrors the Byzantine complexities of the very currencies they seek to regulate, Indian authorities embark on a course of stringent oversight, bringing to the fore an ever-evolving narrative of control and compliance in the fintech sector. The government's latest manoeuvre—a directive to Apple Inc. to excise the apps of certain platforms, including the colossus Binance, from its App Store in India—signals a crescendo in the nation's efforts to rein in the unbridled digital bazaar that had hitherto thrived in a semi-autonomous expanse of cyberspace.

The directive, with ramifications as significant and intricate as the cryptographic algorithms that underpin the blockchain, stems from the Ministry of Electronics and Information Technology, which has cast eight exchanges, including Bitfinex, HTX, and Kucoin, into the shadows, rendering their apps as elusive as the Higgs boson in the vast App Store universe. The movement of these exchanges from visibility to obscurity in the digital storefront is cloaked in secrecy, with sources privy to this development remaining cloaked in anonymity, their identities as guarded as the cryptographic keys that secure blockchain transactions.

The Contention 

This escalation, however, did not manifest from the vacuum of the ether; it is the culmination of a series of precipitating actions that began unfolding on December 28th, when the Indian authorities unfurled a net over nine exchanges, ensnaring them with suspicions of malfeasance. The spectre of inaccessible funds, a byproduct of this entanglement, has since haunted Indian crypto traders, prompting a migration of deposits to local exchanges that operate within the nation's regulatory framework—a fortress against the uncertainties of the offshore crypto tempest.

The extent of the authorities' reach manifests further, beckoning Alphabet Inc.'s Google to follow in Apple's footsteps. Yet, in a display of the unpredictable nature of enforcement, the Google Play Store in India still played host to the very apps that Apple's digital Eden had forsaken as of a nondescript Wednesday afternoon, marked by the relentless march of time. The triad of power-brokers—Apple, Google, and India's technology ministry—has maintained a stance as enigmatic as the Sphinx, their communications as impenetrable as the vaults that secure the nation's precious monetary reserves.

Compounding the tightening of this digital noose, the Financial Intelligence Unit of India, a sentinel ever vigilant at the gates of financial propriety, unfurled a compliance show-cause notice to the nine offshore platforms, an ultimatum demanding they justify their elusive presence in Indian cyberspace. The FIU's decree echoed with clarity amidst the cacophony of regulatory overtures: these digital entities were tethered to operations sequestered in the shadows, skirting the reach of India's anti-money laundering edicts, their websites lingering in cyberspace like forbidden fruit, tantalisingly within reach yet potentially laced with the cyanide of non-compliance.

In this chaotic tableau of constraint and control, a glimmer of presence remains—only Bitstamp has managed to brave the regulatory storm, maintaining its presence on the Indian App Store, a lone beacon amid the turbulent sea of regimentation. Kraken, another leviathan of crypto depths, presented only its Pro version to the Indian connoisseurs of the digital marketplace. An aura of silence envelops industry giants such as Binance, Bitfinex, and KuCoin, their absence forming a void as profound as the dark side of the moon in the consciousness of Indian users. HTX, formerly known as Huobi, has announced a departure from Indian operations with the detached finality of a distant celestial body, cold and indifferent to the gravitational pull of India's regulatory orbit.

Compliances

In compliance with the provisions of the Money Laundering Act (PMLA) 2002 and the recent uproar on crypto assessment apps, Apple store finally removed these apps namely Binance and Kucoin from the store after receiving show cause notice. The alleged illegal operation and failure to comply with existing money laundering laws are major reasons for their removal. 

The Indian Narrative 

The overarching narrative of India's embrace of rigid oversight aligns with a broader global paradigm shift, where digital financial assets are increasingly subjected to the same degree of scrutiny as their physical analogues. The persistence in imposing anti-money laundering provisions upon the crypto sector reflects this shift, with India positioning its regulatory lens in alignment with the stars of international accountability. The preceding year bore witness to seismic shifts as Indian authorities imposed a tax upon crypto transactions, a move that precipitated a downfall in trading volumes, reminiscent of Icarus's fateful flight—hubris personified as his waxen appendages succumbed to the unrelenting kiss of the sun.

On a local scale, trading powerhouses lament the imposition of a 1% levy, colloquially known as Tax Deducted at Source. This fiscal shackle drove an exodus of Indian crypto traders into the waiting, seemingly benevolent arms of offshore financial Edens, absolved of such taxational rites. As Sumit Gupta, CEO of CoinDCX, recounted, this fiscal migration witnessed the haemorrhaging of revenue. His estimation that a staggering 95% of trading volume abandoned local shores for the tranquil harbours of offshore havens punctuates the magnitude of this phenomenon.

Conclusion 

Ultimately, the story of India's proactive clampdown on offshore crypto exchanges resembles a meticulously woven tapestry of regulatory ardour, financial prudence, and the inexorable progression towards a future where digital incarnations mirror the scrutinised tangibility of physical assets. It is a saga delineating a nation's valiant navigation through the tempestuous, cryptic waters of cryptocurrency, helming its ship with unwavering determination, with eyes keenly trained on the farthest reaches of the horizon. Here, amidst the fusion of digital and corporeal realms, India charts its destiny, setting its sails towards an inextricably linked future that promises to shape the contour of the global financial landscape.

References 

• https://www.business-standard.com/markets/cryptocurrency/govt-escalates-clampdown-on-offshore-crypto-venues-like-binance-report-124011000586_1.html
• https://www.cnbctv18.com/technology/india-escalates-clampdown-on-offshore-crypto-exchanges-like-binance-18763111.htm
• https://economictimes.indiatimes.com/tech/technology/centre-blocks-web-platforms-of-offshore-crypto-apps-binance-kucoin-and-others/articleshow/106783697.cms?from=mdr

‍Introduction 

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In September 2025, social media feeds were flooded with strikingly vintage saree-type portraits. These images were not taken by professional photographers, but AI-generated images. More than a million people turned to the "Nano Banana" AI tool of Google Gemini, uploading their ordinary selfies and watching them transform into Bollywood-style, cinematic, 1990s posters. The popularity of this trend is evident, as are the concerns of law enforcement agencies and cybersecurity experts regarding risks of infringement of privacy, unauthorised data sharing, and threats related to deepfake misuse.

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What is the Trend?

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This trend in AI sarees is created using Google Geminis' Nano Banana image-editing tool, editing and morphing uploaded selfies into glitzy vintage portraits in traditional Indian attire. A user would upload a clear photograph of a solo subject and enter prompts to generate images of cinematic backgrounds, flowing chiffon sarees, golden-hour ambience, and grainy film texture, reminiscent of classic Bollywood imagery. Since its launch, the tool has processed over 500 million images, with the saree trend marking one of its most popular uses. Photographs are uploaded to an AI system, which uses machine learning to alter the pictures according to the description specified. The transformed AI portraits are then shared by users on their Instagram, WhatsApp, and other social media platforms, thereby contributing to the viral nature of the trend.

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Law Enforcement Agency Warnings

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1. A few Indian police agencies have issued strong advisories against participation in such trends. IPS Officer VC Sajjanar warned the public: "The uploading of just one personal photograph can make greedy operators go from clicking their fingers to joining hands with criminals and emptying one's bank account." His advisory had further warned that sharing personal information through trending apps can lead to many scams and fraud.
2. Jalandhar Rural Police issued a comprehensive warning stating that such applications put the user at risk of identity theft and online fraud when personal pictures are uploaded. A senior police officer stated: "Once sensitive facial data is uploaded, it can be stored, analysed, and even potentially misused to open the way for cyber fraud, impersonation, and digital identity crimes.

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The Cyber Crime Police also put out warnings on social media platforms regarding how photo applications appear entertaining but can pose serious risks to user privacy. They specifically warned that selfies uploaded can lead to data misuse, deepfake creation, and the generation of fake profiles, which are punishable under Sections 66C and 66D of the IT Act 2000.

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Consequences of Such Trends

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The massification of AI photo trends has several severe effects on private users and society as a whole. Identity fraud and theft are the main issues, as uploaded biometric information can be used by hackers to generate imitated identities, evading security measures or committing financial fraud. The facial recognition information shared by means of these trends remains a digital asset that could be abused years after the trend has passed. ‘Deepfake’ production is another tremendous threat because personal images shared on AI platforms can be utilised to create non-consensual artificial media. Studies have found that more than 95,000 deepfake videos circulated online in 2023 alone, a 550% increase from 2019. The images uploaded can be leveraged to produce embarrassing or harmful content that can cause damage to personal reputation, relationships, and career prospects.

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Financial exploitation is also when fake applications in the guise of genuine AI tools strip users of their personal data and financial details. Such malicious platforms tend to look like well-known services so as to trick users into divulging sensitive information. Long-term privacy infringement also comes about due to the permanent retention and possible commercial exploitation of personal biometric information by AI firms, even when users close down their accounts.

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Privacy Risks

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A few months ago, the Ghibli trend went viral, and now this new trend has taken over. Such trends may subject users to several layers of privacy threats that go far beyond the instant gratification of taking pleasing images. Harvesting of biometric data is the most critical issue since facial recognition information posted on these sites becomes inextricably linked with user identities. Under Google's privacy policy for Gemini tools, uploaded images might be stored temporarily for processing and may be kept for longer periods if used for feedback purposes or feature development. 

Illegal data sharing happens when AI platforms provide user-uploaded content to third parties without user consent. A Mozilla Foundation study in 2023 discovered that 80% of popular AI apps had either non-transparent data policies or obscured the ability of users to opt out of data gathering. This opens up opportunities for personal photographs to be shared with anonymous entities for commercial use. Exploitation of training data includes the use of personal photos uploaded to enhance AI models without notifying or compensating users. Although Google provides users with options to turn off data sharing within privacy settings, most users are ignorant of these capabilities. Integration of cross-platform data increases privacy threats when AI applications use data from interlinked social media profiles, providing detailed user profiles that can be taken advantage of for purposeful manipulation or fraud. Inadequacy of informed consent continues to be a major problem, with users engaging in trends unaware of the entire context of sharing information. Studies show that 68% of individuals show concern regarding the misuse of AI app data, but 42% use these apps without going through the terms and conditions.

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CyberPeace Expert Recommendations

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While the Google Gemini image trend feature operates under its own terms and conditions, it is important to remember that many other tools and applications allow users to generate similar content. Not every platform can be trusted without scrutiny, so users who engage in such trends should do so only on trustworthy platforms and make reliable, informed choices. Above all, following cybersecurity best practices and digital security principles remains essential.

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Here are some best practices:-

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1.Immediate Protection Measures for User

In a nutshell, protection of personal information may begin by not uploading high-resolution personal photos into AI-based applications, especially those trained for facial recognition. Instead, a person can play with stock images or non-identifiable pictures to the degree that it satisfies the program's creative features without compromising biometric security. Strong privacy settings should exist on every social media platform and AI app by which a person can either limit access to their data, content, or anything else.

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2.Organisational Safeguards

AI governance frameworks within organisations should enumerate policies regarding the usage of AI tools by employees, particularly those concerning the upload of personal data. Companies should appropriately carry out due diligence before the adoption of an AI product made commercially available for their own use in order to ensure that such a product has its privacy and security levels as suitable as intended by the company. Training should instruct employees regarding deepfake technology.

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3.Technical Protection Strategies

Deepfake detection software should be used. These tools, which include Microsoft Video Authenticator, Intel FakeCatcher, and Sensity AI, allow real-time detection with an accuracy higher than 95%. Use blockchain-based concepts to verify content to create tamper-proof records of original digital assets so that the method of proposing deepfake content as original remains very difficult.

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4.Policy and Awareness Initiatives

For high-risk transactions, especially in banks and identity verification systems, authentication should include voice and face liveness checks to ensure the person is real and not using fake or manipulated media. Implement digital literacy programs to empower users with knowledge about AI threats, deepfake detection techniques, and safe digital practices. Companies should also liaise with law enforcement, reporting purported AI crimes, thus offering assistance in combating malicious applications of synthetic media technology.

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5.Addressing Data Transparency and Cross-Border AI Security

Regulatory systems need to be called for requiring the transparency of data policies in AI applications, along with providing the rights and choices to users regarding either Biometric data or any other data. Promotion must be given to the indigenous development of AI pertaining to India-centric privacy concerns, assuring the creation of AI models in a secure, transparent, and accountable manner. In respect of cross-border AI security concerns, there must be international cooperation for setting common standards of ethical design, production, and use of AI. With the virus-like contagiousness of AI phenomena such as saree editing trends, they portray the potential and hazards of the present-day generation of artificial intelligence. While such tools offer newer opportunities, they also pose grave privacy and security concerns, which should have been considered quite some time ago by users, organisations, and policy-makers. Through the setting up of all-around protection mechanisms and keeping an active eye on digital privacy, both individuals and institutions will reap the benefits of this AI innovation, and they shall not fall on the darker side of malicious exploitation. 

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References

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1. https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
2. https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
3. https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
4. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
5. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
6. https://socradar.io/top-10-ai-deepfake-detection-tools-2025/

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