#FactCheck - Stunning 'Mount Kailash' Video Exposed as AI-Generated Illusion!

Introduction

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Cyber-attacks are another threat in this digital world, not exclusive to a single country, that could significantly disrupt global movements, commerce, and international relations all of which experienced first-hand when a cyber-attack occurred at Heathrow, the busiest airport in Europe, which threw their electronic check-in and baggage systems into a state of chaos. Not only were there chaos and delays at Heathrow, airports across Europe including Brussels, Berlin, and Dublin experienced delay and had to conduct manual check-ins for some flights further indicating just how interconnected the world of aviation is in today's world. Though Heathrow assured passengers that the "vast majority of flights" would operate, hundreds were delayed or postponed for hours as those passengers stood in a queue while nearly every European airport's flying schedule was also negatively impacted.

The Anatomy of the Attack

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The attack specifically targeted Muse software by Collins Aerospace, a software built to allow various airlines to share check-in desks and boarding gates. The disruption initially perceived to be technical issues soon turned into a logistical nightmare, with airlines relying on Muse having to engage in horror-movie-worthy manual steps hand-tagging luggage, verifying boarding passes over the phone, and manually boarding passengers. While British Airways managed to revert to a backup system, most other carriers across Heathrow and partner airports elsewhere in Europe had to resort to improvised manual solutions.

The trauma was largely borne by the passengers. Stories emerged about travelers stranded on the tarmac, old folks left barely able to walk without assistance, and even families missing important connections. It served to remind everyone that the aviation world, with its schedules interlocked tightly across borders, can see even a localized system failure snowball into a continental-level crisis.

Cybersecurity Meets Aviation Infrastructure

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In the last two decades, aviation has become one of the more digitally dependent industries in the world. From booking systems and baggage handling issues to navigation and air traffic control, digital systems are the invisible scaffold on which flight operations are supported. Though this digitalization has increased the scale of operations and enhanced efficiency, it must have also created many avenues for cyber threats. Cyber attackers increasingly realize that to target aviation is not just about money but about leverage. Just interfering with the check-in system of a major hub like Heathrow is more than just financial disruption; it causes panic and hits the headlines, making it much more attractive for criminal gangs and state-sponsored threat actors.

The Heathrow incident is like the worldwide IT crash in July 2024-thwarting activities of flights caused by a botched Crowdstrike update. Both prove the brittleness of digital dependencies in aviation, where one failure point triggering uncontrollable ripple effects spanning multiple countries. Unlike conventional cyber incidents contained within corporate networks, cyber-attacks in aviation spill on to the public sphere in real time, disturbing millions of lives.

Response and Coordination

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Heathrow Airport first added extra employees to assist with manual check-in and told passengers to check flight statuses before traveling. The UK's National Cyber Security Centre (NCSC) collaborated with Collins Aerospace, the Department for Transport, and law enforcement agencies to investigate the extent and source of the breach. Meanwhile, the European Commission published a statement that they are "closely following the development" of the cyber incident while assuring passengers that no evidence of a "widespread or serious" breach has been observed.

According to passengers, the reality was quite different. Massive passenger queues, bewildering announcements, and departure time confirmations cultivated an atmosphere of chaos. The wrenching dissonance between the reassurances from official channel and Kirby needs to be resolved about what really happens in passenger experiences. During such incidents, technical restoration and communication flow are strategies for retaining public trust in incidents.

Attribution and the Shadow of Ransomware

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As with many cyber-attacks, questions on its attribution arose quite promptly. Rumours of hackers allegedly working for the Kremlin escaped into the air quite possibly inside seconds of the realization, Cybersecurity experts justifiably advise against making conclusions hastily. Extortion ransomware gangs stand the last chance to hold the culprits, whereas state actors cannot be ruled out, especially considering Russian military activity under European airspace. Meanwhile, Collins Aerospace has refused to comment on the attack, its precise nature, or where it originated, emphasizing an inherent difficulty in cyberattribution.

What is clear is the way these attacks bestow criminal leverage and dollars. In previous ransomware attacks against critical infrastructure, cybercriminal gangs have extorted millions of dollars from their victims. In aviation terms, the stakes grow exponentially, not only in terms of money but national security and diplomatic relations as well as human safety.

Broader Implications for Aviation Cybersecurity

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This incident brings to consideration several core resilience issues within aviation systems. Traditionally, the airports and airlines had placed premium on physical security, but today, the equally important concept of digital resilience has come into being. Systems such as Muse, which bind multiple airlines into shared infrastructure, offer efficiency but, at the same time, also concentrate that risk. A cyber disruption in one place will cascade across dozens of carriers and multiple airports, thereby amplifying the scale of that disruption. 

The case also brings forth redundancy and contingency planning as an urgent concern. While BA systems were able to stand on backups, most other airlines could not claim that advantage. It is about time that digital redundancies, be it in the form of parallel systems or isolated backups or even AI-driven incident response frameworks, are built into aviation as standard practice and soon. 

On the policy plane, this incident draws attention to the necessity for international collaboration. Aviation is therefore transnational, and cyber incidents standing on this domain cannot possibly be handled by national agencies only. Eurocontrol, the European Commission, and cross-border cybersecurity task forces must spearhead this initiative to ensure aviation-wide resilience.

Human Stories Amid a Digital Crisis

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Beyond technical jargon and policy response, the human stories had perhaps the greatest impact coming from Heathrow. Passengers spoke of hours spent queuing, heading to funerals, and being hungry and exhausted as they waited for their flights. For many, the cyber-attack was no mere headline; instead, it was ¬ a living reality of disruption.

These stories reflect the fact that cybersecurity is no hunger strike; it touches people's lives. In critical sectors such as aviation, one hour of disruption means missed connections for passengers, lost revenue for airlines, and inculcates immense emotional stress. Crisis management must therefore entail technical recovery and passenger care, communication, and support on the ground.

Conclusion

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The cybersecurity crisis of Heathrow and other European airports emphasizes the threat of cyber disruption on the modern legitimacy of aviation. The use of increased connectivity for airport processes means that any cyber disruption present, no matter how small, can affect scheduling issues regionally or on other continents, even threatening lives. The occurrences confirm a few things: a resilient solution should provide redundancy not efficiency; international networking and collaboration is paramount; and communicating with the traveling public is just as important (if not more) as the technical recovery process. 

As governments, airlines, and technology providers analyse the disruption, the question is longer if aviation can withstand cyber threats, but to what extent it will be prepared to defend itself against those attacks. The Heathrow crisis is a reminder that the stake of cybersecurity is not just about a data breach or outright stealing of money but also about stealing the very systems that keep global mobility in motion. Now, the aviation industry is tested to make this disruption an opportunity to fortify the digital defences and start preparing for the next inevitable production.

References

• https://www.bbc.com/news/articles/c3drpgv33pxo
• https://www.theguardian.com/business/2025/sep/21/delays-continue-at-heathrow-brussels-and-berlin-airports-after-alleged-cyber-attack
• https://www.reuters.com/business/aerospace-defense/eu-agency-says-third-party-ransomware-behind-airport-disruptions-2025-09-22/

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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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Executive Summary

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Following recent escalations between Iran and Israel, where both countries reportedly exchanged missile strikes over the weekend, a video is now circulating on social media claiming to show the latest attacks between the two nations. However, CyberPeace Research Wing  research found that the viral video is not related to the recent developments. The footage is actually from a March incident involving reported US-Israeli strikes in Tehran’s Jannat Abad area.

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Claim

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An X (formerly Twitter) user shared the viral video with the caption:“Israel, ignoring Trump’s advice, has carried out a major retaliatory strike on Tehran, Karaj, Tabriz, and Kermanshah.” 

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https://x.com/ocjain4/status/2063844698138239357?s=20 

https://archive.ph/wip/j52oD 

The video is being widely shared with claims that it shows recent Iran–Israel missile exchanges following Sunday’s reported attacks. 

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Fact Check

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To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. The research led us to a post from BBC Persian journalist Ghoncheh Habibiazad’s X account dated 3 March. The video was shared with a caption describing it as showing a strike in Tehran attributed to US-Israeli action.

https://x.com/GhonchehAzad/status/2028632595156598874?s=20

https://archive.ph/j52oD 

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Further verification found the same footage published by Sky News and uploaded on Al Arabiya’s YouTube channel on 3 March 2026. The accompanying descriptions referred to smoke rising from Tehran’s District 5 and near the Hemmat Expressway following the strike.

https://news.sky.com/video/smoke-seen-rising-after-strike-in-tehran-13514731 

https://www.youtube.com/shorts/AceFmYiBkuA 

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Additionally, a comparison using Google Satellite View confirmed that the location seen in the viral video matches the same area shown in the earlier March footage shared by BBC-affiliated reporting.

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Conclusion

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Our research confirms that the viral video has no connection to the recent Iran–Israel missile exchanges. The footage is from a March incident showing reported strikes in Tehran’s Jannat Abad area, and is being misleadingly shared as a recent escalation between the two countries.

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