#FactCheck - The video of Virat Kohli promoting online casino mobile app is a deep fake.
Executive Summary:
A viral clip where the Indian batsman Virat Kohli is shown endorsing an online casino and declaring a Rs 50,000 jackpot in three days as a guarantee has been proved a fake. In the clip that is accompanied by manipulated captions, Kohli is said to have admitted to being involved in the launch of an online casino during the interview with Graham Bensinger but this is not true. Nevertheless, an investigation showed that the original interview, which was published on YouTube in the last quarter of 2023 by Bensinger, did not have the mentioned words spoken by Kohli. Besides, another AI deepfake analysis tool called Deepware labelled the viral video as a deepfake.
Claims:
The viral video states that cricket star Virat Kohli gets involved in the promotion of an online casino and ensures that the users of the site can make a profit of Rs 50,000 within three days. Conversely, the CyberPeace Research Team has just revealed that the video is a deepfake and not the original and there is no credible evidence suggesting Kohli's participation in such endorsements. A lot of the users are sharing the videos with the wrong info title over different Social Media platforms.
Fact Check:
As soon as we were informed about the news, we made use of Keyword Search to see any news report that could be considered credible about Virat Kohli promoting any Casino app and we found nothing. Therefore, we also used Reverse Image Search for Virat Kohli wearing a Black T-shirt as seen in the video to find out more about the subject. We landed on a YouTube Video by Graham Bensinger, an American Journalist. The clip of the viral video was taken from this original video.
In this video, he discussed his childhood, his diet, his cricket training, his marriage, etc. but did not mention anything regarding a newly launched Casino app by the cricketer.
Through close scrutiny of the viral video we have noticed some inconsistencies in the lip-sync and voice. Subsequently, we executed Deepfake Detection in Deepware tool and identified it to be Deepfake Detected.
Finally, we affirm that the Viral Video Is Deepfakes Video and the statement made is False.
Conclusion:
The video has gone viral and claims that cricketer Virat Kohli is the one endorsing an online casino and assuring you that in three days time you will be a guaranteed winner of Rs 50,000. This is all a fake story. This incident demonstrates the necessity of checking facts and a source before believing any information, as well as remaining sceptical about deepfakes and AI (artificial intelligence), which is a new technology used nowadays for spreading misinformation.
Related Blogs
Executive Summary
A video is being shared on social media with the claim that a Dalit woman was raped inside the Ram Temple in Ayodhya. In the video, two women can be seen crying, while some people around them appear to be consoling them. CyberPeace Research Wing’s research found the viral claim to be false. Our research found that the viral video has been created by combining two separate clips. In the first part of the video, a woman can be seen staging a protest at Buddha Park in Haldwani and raising issues related to her in-laws. The second part shows a girl expressing her anger. Our research found that this clip has been available on the internet since December 27, 2025. Neither of the two videos is related to the alleged rape of a Dalit woman inside the Ram Temple in Ayodhya.
Claim:
A Facebook user shared the viral video on September 21, 2026, with the caption, “Dalit woman raped inside the Ram Temple.”The post link, archive link and screenshot are provided below.
https://www.facebook.com/watch/?v=1420442086956519
Fact Check
To verify the authenticity of the viral image, we conducted a Google search using relevant keywords. However, we did not find any credible media report related to the viral image during the search. To verify the claim, we conducted a reverse image search of the keyframes from the video. During the search, we found the same video on the Facebook page of Punjab Kesari - Uttarakhand, where it was published on March 6, 2026. According to the post, the woman staged a protest at Buddha Park in Haldwani and raised issues related to her in-laws. The link and screenshot of the relevant post are provided below.
https://www.facebook.com/watch/?v=897776589732940
Meanwhile, we found the second part of the viral video on LinkedIn, where the video was published on December 27, 2025.
Our research makes it clear that two old and unrelated videos are being shared with a misleading claim linking them to the Ram Temple in Ayodhya. The videos have no connection with the alleged incident on the temple premises, and based on the available evidence, there is no confirmation of any such incident taking place at the Ram Temple. Our research found that the viral video was created by combining two separate clips. In the first part of the video, a woman can be seen staging a protest at Buddha Park in Haldwani and raising issues related to her in-laws. In the second part, a girl can be seen expressing her anger. Our research found that this clip has been available on the internet since December 27, 2025. Neither of the two videos is related to the alleged rape of a Dalit woman inside the Ram Temple in Ayodhya.
Introduction
Meta's bet that smart glasses will succeed the smartphone as the dominant personal computing device is, commercially, already paying off. EssilorLuxottica, the eyewear manufacturer that builds the Ray-Ban and Oakley Meta product lines, reported selling more than seven million pairs of AI-enabled glasses in 2025 alone, more than tripling the previous year's sales. Chief Executive Mark Zuckerberg has framed the shift as inevitable, comparing it in a recent interview to the transition from flip phones to smartphones and predicting that within a few years, eyewear without embedded AI will put its wearer at a disadvantage.
Yet as adoption accelerates, two features in various stages of internal testing have pulled Meta back into a familiar and uncomfortable position: at the centre of a privacy controversy over exactly how much a camera- and microphone-equipped wearable can quietly learn about the people around it.
NameTag and the return of facial recognition
In June 2026, the technology publication Wired reported that it had found dormant code for a facial-recognition system, internally called NameTag, embedded inside the Meta AI companion app that pairs with the company's smart glasses – an app that had by then been downloaded more than 50 million times. According to that reporting, the system relies on a pipeline of on-device AI models that detect a face, store it locally on the wearer's phone, and match it against previously saved "faceprints", alerting the wearer when it recognises someone they met before. Meta's Chief Technology Officer, Andrew Bosworth, has described the intended design as privacy-conscious: identification data would be encrypted locally, accessible only while the glasses are being worn, and would not populate a centralised company database. He has pitched the feature as a solution to the everyday difficulty of recalling names and past conversations.
Privacy researchers and advocacy groups have been considerably less reassured. One technologist with the Electronic Frontier Foundation’s Threat Lab who analysed the code concluded that despite having been deactivated, it appeared to be near-complete, and more recent reporting connected a portion of Meta’s facial recognition software licensing to Rank One Computing, a vendor that has also licensed similar tech to both U.S. law enforcement and military groups. Meta took the code down immediately after the story’s publication and claims no decision has been made regarding a public rollout.
"Super sensing" and always-on capture
A second, less publicised effort has drawn similar concern. The Financial Times reported in July 2026 that Meta is internally prototyping glasses, under the working concept "super-sensing", designed to capture ambient audio continuously and take still images every few seconds throughout the day, building a searchable log that a wearer's AI assistant could later query to recall where an item was left or what was discussed earlier. Notably, that reporting indicated Meta had discussed shipping the feature without activating the small LED indicator that currently signals when the glasses' camera is capturing photos or video the very light Meta had just reinforced against tampering on its existing hardware. Critics point out that the indicator is already a limited safeguard, since it is easily missed and unfamiliar to most bystanders; removing it during continuous, always-on capture would eliminate the one visible cue currently available to people nearby.
A pattern regulators are watching closely
Both features have emerged against a backdrop of substantial legal exposure. Meta has previously paid roughly two billion dollars combined in biometric-privacy settlements tied to earlier facial-recognition systems on Facebook, including $650 million under Illinois's Biometric Information Privacy Act and $1.4 billion to the state of Texas.
A separate class action filed in early 2026 alleges that footage captured by smart-glasses users, including intimate recordings from inside private homes, was reviewed by outside contractors in Kenya for AI-training purposes, a claim that prompted an inquiry from the United Kingdom's Information Commissioner's Office. The Texas Attorney General has opened its own civil investigation into the glasses' data practices. Because U.S. federal privacy law remains fragmented, enforcement of claims like these is likely to continue playing out state by state through statutes such as BIPA, which allow individuals to sue directly, even as the European Union's AI Act imposes separate restrictions on biometric processing within Europe.
Why this matters beyond Meta
For readers focused on cybersecurity and digital privacy, the common thread running through NameTag and super sensing is consent architecture. The smart glasses take in not just what you’re up to but also the location, face, clothes and conversation patterns of anyone within the glasses’ field of vision – all without their consent. Where raising a smartphone to take a photo leaves no ambiguity to nearby observers, glasses made to look like normal eyewear leaves fewer visual and verbal tells of what is actually occurring behind a set of seemingly average lenses. According to security experts and law professors, wiretap laws and the patchwork of existing statutes addressing biometric data aren't prepared for the kind of invisible monitoring that AI-enabled eyeglasses from Meta, and eventually others, are capable of. It's that imbalance between a technology’s unseen power and the limitations of the average person’s awareness that is sure to be the main source of conflict.
CyberPeace Insights
Wearable AI holds real promise for accessibility and everyday convenience, and Meta's continued investment reflects where personal computing is headed. At the same time, features like NameTag and "super-sensing" show why privacy-by-design must stay foundational, not incidental, as this space matures. The core issue isn't innovation itself but consent — ensuring bystanders retain visible, reliable cues when a device is active. Meta's stated moves toward on-device processing and encryption are worth acknowledging as steps in the right direction. CyberPeace believes continued dialogue between industry, regulators, and researchers, rather than adversarial scrutiny alone, is the surest path to public trust.
Conclusion
Meta maintains that both NameTag and Super Sensing remain unreleased and unconfirmed for commercial launch and are subject to further internal review. Executives have publicly disputed characterisations suggesting either feature is further along than the company has described. Even so, the recurring pattern of infrastructure for sensitive capabilities surfacing through independent reporting rather than company disclosure is what has kept privacy advocates, journalists, and regulators paying close attention. It suggests that as smart glasses move from novelty item to mass-market device, the terms of that transition will be shaped as much by courts, regulators, and public pressure as by Meta's own product roadmap.
References
- https://www.magzter.com/stories/newspaper/Mint-Mumbai/METAS-FLOOD-OF-SMARTGLASSES-HAS-PRIVACY-ADVOCATES-UP-IN-ARMS
- Engadget — Wired found code for an unreleased facial recognition feature in Meta's AI app
- Malwarebytes Labs — Meta's face-recognition code raises new concerns about smart glasses
- Kaspersky Daily — What's wrong with Meta's NameTag feature and why you should be wary of it
- Biometric Update — AI glasses reveal widening gap between Meta's privacy safeguards and AI ambitions
- Fortune — Meta added a privacy-safety feature to its AI glasses but is reportedly testing a 'super-sensing' prototype
- MacRumors — Meta's 'Super Sensing' Prototype Glasses Quietly Record Everything
- TechCrunch — Meta sued over AI smart glasses' privacy concerns, after workers reviewed nudity, sex, and other footage
Introduction
The digital landscape of the nation has reached a critical point in its evolution. The rapid adoption of technologies such as cloud computing, mobile payment systems, artificial intelligence, and smart infrastructure has led to a high degree of integration between digital systems and governance, commercial activity, and everyday life. As dependence on these systems continues to grow, a wide range of cyber threats has emerged that are complex, multi-layered, and closely interconnected. By 2026, cyber security threats directed at India are expected to include an increasing number of targeted, well-organised, and strategic cyber attacks. These attacks are likely to focus on exploiting the trust placed in technology, institutions, automation, and the fast pace of technological change.
1. Social Engineering 2.0: Hyper-Personalised AI Phishing & Mobile Banking Malware
Cybercriminals have moved from generalised methods to hyper-targeted attacks through AI-based psychological manipulation. In addition to social media profiles, data breaches, and digital/tracking footprints, the latest types of cybercrimes expected in 2026 will involve AI-based analysis of this information to create and increase the use of hyper-targeted phishing emails.
Phishing emails are capable of impersonating banks, employers, and even family members, with all the same regionally or culturally relevant tone, language, and context as would be done if these persons were sending the emails in person.
With malicious applications disguised as legitimate service apps, cybercriminals have the ability to intercept and capture One-Time Passwords (OTPs), hijack user sessions, and steal money from user accounts in a matter of minutes.
These types of attempts or attacks are successful not only because of their technical sophistication, but because they take advantage of human trust at scale, giving them an almost limitless reach into the financial systems of people around the world through their computers and mobile devices.
2. Cloud and Supply Chain Vulnerabilities
As Indian organisations increasingly migrate to cloud infrastructure, cloud misconfigurations are emerging as a major cybersecurity risk. Weak identity controls, exposed storage, and improper access management can allow attackers to bypass traditional network defences. Alongside this, supply chain attacks are expected to intensify in 2026.
In supply chain attacks, cybercriminals compromise a trusted software vendor or service provider to infiltrate multiple downstream organisations. Even entities with strong internal security can be affected through third-party dependencies. For India’s startup ecosystem, government digital platforms, and IT service providers, this presents a systemic risk. Strengthening vendor risk management and visibility across digital supply chains will be essential.
3. Threats to IoT and Critical Infrastructure
By implementing smart cities, digital utilities, and connected public services, IoT has opened itself up to increased levels of operational technology (OT) through India’s initiative. However, there is currently a lack of adequate security in the form of strong authentication, encryption, and update methods available on many IoT devices. By the year 2026, attackers are going to be able to exploit these vulnerabilities much more than they already are.
Cyberattacks on critical infrastructure such as energy, transportation, healthcare, and telecom systems have far-reaching consequences that extend well beyond data loss; they directly affect the provision of essential services, can damage public safety, and raise concerns over national security. Effectively securing critical infrastructure needs to involve dedicated security solutions to deal with the specific needs of critical infrastructure, in contrast to conventional IT security.
4. Hidden File Vectors and Stealth Payload Delivery
SVG File Abuse in Stealth Attacks
Cybercriminals are continually searching for ways to bypass security filters, and hidden file vectors are emerging as a preferred tactic. One such method involves the abuse of SVG (Scalable Vector Graphics) files. Although commonly perceived as harmless image files, SVGs can contain embedded scripts capable of executing malicious actions.
By 2026, SVG-based attacks are expected to be used in phishing emails, cloud file sharing, and messaging platforms. Because these files often bypass traditional antivirus and email security systems, they provide an effective stealth delivery mechanism. Indian organisations will need to rethink assumptions about “safe” file formats and strengthen deep content inspection capabilities.
5. Quantum-Era Cyber Risks and “Harvest Now, Decrypt Later” Attacks
Although practical quantum computers are still emerging, quantum-era cyber risks are already a present-day concern. Adversaries are believed to be intercepting and storing encrypted data now with the intention of decrypting it in the future once quantum capabilities mature—a strategy known as “harvest now, decrypt later.” This poses serious long-term confidentiality risks.
Recognising this threat, the United States took early action during the Biden administration through National Security Memorandum 10, which directed federal agencies to prepare for the transition to quantum-resistant cryptography. For India, similar foresight is essential, as sensitive government communications, financial data, health records, and intellectual property could otherwise be exposed retrospectively. Preparing for quantum-safe cryptography will therefore become a strategic priority in the coming years.
6. AI Trust Manipulation and Model Exploitation
Poisoning the Well – Direct Attacks on AI Models
As artificial intelligence systems are increasingly used for decision-making—ranging from fraud detection and credit scoring to surveillance and cybersecurity—attackers are shifting focus from systems to models themselves. “Poisoning the well” refers to attacks that manipulate training data, feedback mechanisms, or input environments to distort AI outputs.
In the context of India's rapidly growing digital ecosystem, compromised AI models can result in biased decisions, false security alerts or denying legitimate services. The big problem with these types of attacks is they may occur without triggering conventional security measures. Transparency, integrity and continuous monitoring of AI systems will be key to creating and maintaining stakeholder confidence in the decision-making process of the automated systems.
Recommendations
Despite the increasing sophistication of malicious cyber actors, India is entering this phase with a growing level of preparedness and institutional capacity. The country has strengthened its cyber security posture through dedicated mechanisms and relevant agencies such as the Indian Cyber Crime Coordination Centre, which play a central role in coordination, threat response, and capacity building. At the same time, sustained collaboration among government bodies, non-governmental organisations, technology companies, and academic institutions has expanded cyber security awareness, skill development, and research. These collective efforts have improved detection capabilities, response readiness, and public resilience, placing India in a stronger position to manage emerging cyber threats and adapt to the evolving digital environment.
Conclusion
By 2026, complexity, intelligence, and strategic intent will increasingly define cyber threats to the digital ecosystem. Cyber criminals are expected to use advanced methods of attack, including artificial intelligence assisted social engineering and the exploitation of cloud supply chain risks. As these threats evolve, adversaries may also experiment with quantum computing techniques and the manipulation of AI models to create new ways of influencing and disrupting digital systems. In response, the focus of cybersecurity is shifting from merely preventing breaches to actively protecting and restoring digital trust. While technical controls remain essential, they must be complemented by strong cybersecurity governance, adherence to regulatory standards, and sustained user education. As India continues its digital transformation, this period presents a valuable opportunity to invest proactively in cybersecurity resilience, enabling the country to safeguard citizens, institutions, and national interests with confidence in an increasingly complex and dynamic digital future.
References
- https://www.seqrite.com/india-cyber-threat-report-2026/
- https://www.uscsinstitute.org/cybersecurity-insights/blog/ai-powered-phishing-detection-and-prevention-strategies-for-2026
- https://www.expresscomputer.in/guest-blogs/cloud-security-risks-that-should-guide-leadership-in-2026/130849/
- https://www.hakunamatatatech.com/our-resources/blog/top-iot-challenges
- https://csrc.nist.gov/csrc/media/Presentations/2024/u-s-government-s-transition-to-pqc/images-media/presman-govt-transition-pqc2024.pdf
- https://www.cyber.nj.gov/Home/Components/News/News/1721/214
