#FactCheck -AI-Generated Image Falsely Shows Kavya Maran Hugging Young Cricketer Vaibhav Suryavanshi

Executive Summary

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Following the official launch of E85 petrol in India on June 5, 2026, several videos have surfaced on social media claiming unusual side effects of ethanol-blended fuel. One such viral clip alleges that a swarm of bees gathers on a motorcycle fuel tank due to the use of ethanol mixed petrol. CyberPeace Research Wing research found the claim to be false and misleading. The viral video has been identified as AI-generated and does not depict any real-world incident related to ethanol-blended fuel.

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Claim:

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An X user shared an 11-second video on June 13, 2026, claiming that bees are being attracted to vehicles using ethanol-blended petrol. The post sarcastically suggested that E20 fuel is causing such unusual effects and questioned the impact of E85 petrol. https://x.com/khan_tahkeek/status/2065751435451437185?s=20, https://archive.ph/bMsL7 

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Fact Check:

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A Google search using relevant keywords did not return any credible media reports supporting the claim, raising initial doubts about its authenticity. Closer inspection of the viral video revealed multiple visual inconsistencies suggesting digital manipulation. The video was further analysed using AI detection tools. Hive Moderation flagged the content as having a 98% probability of being AI-generated, indicating strong likelihood of synthetic creation.

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In addition, analysis using the AI detection tool “WasItAI” also confirmed that the video is AI-generated.

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Further verification found an official post by Bharat Petroleum Corporation Limited (BPCL) dated June 17, 2026, debunking similar misinformation circulating around ethanol-blended petrol https://x.com/BPCLimited/status/2067167037710020929?s=20

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Conclusion:

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The research confirms that the viral video showing bees swarming on a motorcycle fuel tank is AI-generated. The claim linking it to ethanol-blended petrol (E85/E20) is false and misleading, with no real-world basis.

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As Generative AI continues to make strides by creating content through user prompts, the increasing sophistication of language models widens the scope of the services they can deliver. However, they have their own limitations. Recently, alerts by Apple Intelligence on the iPhone’s latest version have come under fire for misrepresenting news by news agencies.

The new feature was introduced with the aim of presenting an effective way to group and summarise app notifications in a single alert on a user’s lock screen. This was to enable an easier scan for important details amongst a large number of notifications, doing away with overwhelming updates for the user. This, however, resulted in the misrepresentation of news channels and reporting of fake news such as the arrest of Israeli Prime Minister Benjamin Netanyahu, Luke Litter winning the PDC World Darts Championship even before the competition, tennis Player Rafael Nadal coming out as gay, among other news alerts. Following false alerts, BBC had complained about its journalism being misrepresented. In response, Apple’s proposed solution was to clarify to the user that when the text summary is displayed in the notifications, it is clearly stated to be a product of notification Apple Intelligence and not of the news agency. It also claimed the complexity of having to compress content into short summaries which resulted in fallacious alerts. Further comments revealed that the AI alert feature was in beta and is continuously being worked on depending on the user’s feedback. Owing to the backlash, Apple has suspended this service and announced that an improved version of the feature is set to be released in the near future, however, no dates have been set.

CyberPeace Insights

The rush to release new features often exacerbates the problem, especially when AI-generated alerts are responsible for summarising news reports. This can significantly damage the credibility and trust that brands have worked hard to build. The premature release of features that affect the dissemination, content, and public comprehension of information carries substantial risks, particularly in the current environment where misinformation is widespread. Timely action and software updates, which typically require weeks to implement, are crucial in mitigating these risks. The desire to be ahead in the game and bring out competitive features must not resolve the responsibility of providing services that are secure and reliable. This aforementioned incident highlights the inherent nature of generative AI, which operates by analysing the data it was trained on to deliver the best possible responses based on user prompts. However, these responses are not always accurate or reliable. When faced with prompts beyond its scope, AI systems often produce untrustworthy information, underlining the need for careful oversight and verification. A question to deliberate on is whether we require such services at all, which in practice, do save our time, but do so at the risk of the spread of false tidbits.

References

• https://www.theguardian.com/technology/2025/jan/07/apple-update-ai-inaccurate-news-alerts-bbc-apple-intelligence-iphone
• https://www.firstpost.com/tech/apple-intelligence-hallucinates-falsely-credits-bbc-for-fake-news-broadcaster-lodges-complaint-13845214.html
• https://www.cnbc.com/2025/01/08/apple-ai-fake-news-alerts-highlight-the-techs-misinformation-problem.html
• https://news.sky.com/story/apple-ai-feature-must-be-revoked-over-notifications-misleading-users-say-journalists-13288716
• https://www.hindustantimes.com/world-news/apple-to-pay-95-million-in-user-privacy-violation-lawsuit-on-siri-101735835058198.html
• https://www.hindustantimes.com/business/apple-denies-claims-of-siri-violating-user-privacy-after-95-million-class-action-suit-settlement-101736445941497.html#:~:text=Apple%20denies%20claims%20of%20Siri,action%20suit%20settlement%20%2D%20Hindustan%20Times
• https://www.google.com/search?q=apple+AI+alerts+misinformation&oq=apple+AI+alerts+misinformation+&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQIRigATIHCAIQIRigATIHCAMQIRigATIHCAQQIRigAdIBCTEyMzUxajBqN6gCALACAA&sourceid=chrome&ie=UTF-8
• https://www.fastcompany.com/91261727/apple-intelligence-news-summaries-mistakes
• https://timesofindia.indiatimes.com/technology/tech-news/siris-secret-listening-costs-apple-95m/articleshow/116906209.cms
• https://www.theguardian.com/technology/2025/jan/17/apple-suspends-ai-generated-news-alert-service-after-bbc-complaint 

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‍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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