#FactCheck - Viral Video Claiming to Show Kashmir Avalanche Is AI-Generated
Executive Summary
A video is being shared on social media claiming to show an avalanche in Kashmir. The caption of the post alleges that the incident occurred on February 6. Several users sharing the video are also urging people to avoid unnecessary travel to hilly regions. CyberPeace’s research found that the video being shared as footage of a Kashmir avalanche is not real. The research revealed that the viral video is AI-generated.
Claim
The video is circulating widely on social media platforms, particularly Instagram, with users claiming it shows an avalanche in Kashmir on February 6. The archived version of the post can be accessed here. Similar posts were also found online. (Links and archived links provided)

Fact Check:
To verify the claim, we searched relevant keywords on Google. During this process, we found a video posted on the official Instagram account of the BBC. The BBC post reported that an avalanche occurred near a resort in Sonamarg, Kashmir, on January 27. However, the BBC post does not contain the viral video that is being shared on social media, indicating that the circulating clip is unrelated to the real incident.

A close examination of the viral video revealed several inconsistencies. For instance, during the alleged avalanche, people present at the site are not seen panicking, running for cover, or moving toward safer locations. Additionally, the movement and flow of the falling snow appear unnatural. Such visual anomalies are commonly observed in videos generated using artificial intelligence. As part of the research , the video was analyzed using the AI detection tool Hive Moderation. The tool indicated a 99.9% probability that the video was AI-generated.

Conclusion
Based on the evidence gathered during our research , it is clear that the video being shared as footage of a Kashmir avalanche is not genuine. The clip is AI-generated and misleading. The viral claim is therefore false.
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Introduction
In an era when misinformation spreads like wildfire across the digital landscape, the need for effective strategies to counteract these challenges has grown exponentially in a very short period. Prebunking and Debunking are two approaches for countering the growing spread of misinformation online. Prebunking empowers individuals by teaching them to discern between true and false information and acts as a protective layer that comes into play even before people encounter malicious content. Debunking is the correction of false or misleading claims after exposure, aiming to undo or reverse the effects of a particular piece of misinformation. Debunking includes methods such as fact-checking, algorithmic correction on a platform, social correction by an individual or group of online peers, or fact-checking reports by expert organisations or journalists. An integrated approach which involves both strategies can be effective in countering the rapid spread of misinformation online.
Brief Analysis of Prebunking
Prebunking is a proactive practice that seeks to rebut erroneous information before it spreads. The goal is to train people to critically analyse information and develop ‘cognitive immunity’ so that they are less likely to be misled when they do encounter misinformation.
The Prebunking approach, grounded in Inoculation theory, teaches people to recognise, analyse and avoid manipulation and misleading content so that they build resilience against the same. Inoculation theory, a social psychology framework, suggests that pre-emptively conferring psychological resistance against malicious persuasion attempts can reduce susceptibility to misinformation across cultures. As the term suggests, the MO is to help the mind in the present develop resistance to influence that it may encounter in the future. Just as medical vaccines or inoculations help the body build resistance to future infections by administering weakened doses of the harm agent, inoculation theory seeks to teach people fact from fiction through exposure to examples of weak, dichotomous arguments, manipulation tactics like emotionally charged language, case studies that draw parallels between truths and distortions, and so on. In showing people the difference, inoculation theory teaches them to be on the lookout for misinformation and manipulation even, or especially, when they least expect it.
The core difference between Prebunking and Debunking is that while the former is preventative and seeks to provide a broad-spectrum cover against misinformation, the latter is reactive and focuses on specific instances of misinformation. While Debunking is closely tied to fact-checking, Prebunking is tied to a wider range of specific interventions, some of which increase motivation to be vigilant against misinformation and others increase the ability to engage in vigilance with success.
There is much to be said in favour of the Prebunking approach because these interventions build the capacity to identify misinformation and recognise red flags However, their success in practice may vary. It might be difficult to scale up Prebunking efforts and ensure their reach to a larger audience. Sustainability is critical in ensuring that Prebunking measures maintain their impact over time. Continuous reinforcement and reminders may be required to ensure that individuals retain the skills and information they gained from the Prebunking training activities. Misinformation tactics and strategies are always evolving, so it is critical that Prebunking interventions are also flexible and agile and respond promptly to developing challenges. This may be easier said than done, but with new misinformation and cyber threats developing frequently, it is a challenge that has to be addressed for Prebunking to be a successful long-term solution.
Encouraging people to be actively cautious while interacting with information, acquire critical thinking abilities, and reject the effect of misinformation requires a significant behavioural change over a relatively short period of time. Overcoming ingrained habits and prejudices, and countering a natural reluctance to change is no mean feat. Developing a widespread culture of information literacy requires years of social conditioning and unlearning and may pose a significant challenge to the effectiveness of Prebunking interventions.
Brief Analysis of Debunking
Debunking is a technique for identifying and informing people that certain news items or information are incorrect or misleading. It seeks to lessen the impact of misinformation that has already spread. The most popular kind of Debunking occurs through collaboration between fact-checking organisations and social media businesses. Journalists or other fact-checkers discover inaccurate or misleading material, and social media platforms flag or label it. Debunking is an important strategy for curtailing the spread of misinformation and promoting accuracy in the digital information ecosystem.
Debunking interventions are crucial in combating misinformation. However, there are certain challenges associated with the same. Debunking misinformation entails critically verifying facts and promoting corrected information. However, this is difficult owing to the rising complexity of modern tools used to generate narratives that combine truth and untruth, views and facts. These advanced approaches, which include emotional spectrum elements, deepfakes, audiovisual material, and pervasive trolling, necessitate a sophisticated reaction at all levels: technological, organisational, and cultural.
Furthermore, It is impossible to debunk all misinformation at any given time, which effectively means that it is impossible to protect everyone at all times, which means that at least some innocent netizens will fall victim to manipulation despite our best efforts. Debunking is inherently reactive in nature, addressing misinformation after it has grown extensively. This reactionary method may be less successful than proactive strategies such as Prebunking from the perspective of total harm done. Misinformation producers operate swiftly and unexpectedly, making it difficult for fact-checkers to keep up with the rapid dissemination of erroneous or misleading information. Debunking may need continuous exposure to fact-check to prevent erroneous beliefs from forming, implying that a single Debunking may not be enough to rectify misinformation. Debunking requires time and resources, and it is not possible to disprove every piece of misinformation that circulates at any particular moment. This constraint may cause certain misinformation to go unchecked, perhaps leading to unexpected effects. The misinformation on social media can be quickly spread and may become viral faster than Debunking pieces or articles. This leads to a situation in which misinformation spreads like a virus, while the antidote to debunked facts struggles to catch up.
Prebunking vs Debunking: Comparative Analysis
Prebunking interventions seek to educate people to recognise and reject misinformation before they are exposed to actual manipulation. Prebunking offers tactics for critical examination, lessening the individuals' susceptibility to misinformation in a variety of contexts. On the other hand, Debunking interventions involve correcting specific false claims after they have been circulated. While Debunking can address individual instances of misinformation, its impact on reducing overall reliance on misinformation may be limited by the reactive nature of the approach.
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CyberPeace Policy Recommendations for Tech/Social Media Platforms
With the rising threat of online misinformation, tech/social media platforms can adopt an integrated strategy that includes both Prebunking and Debunking initiatives to be deployed and supported on all platforms to empower users to recognise the manipulative messaging through Prebunking and be aware of the accuracy of misinformation through Debunking interventions.
- Gamified Inoculation: Tech/social media companies can encourage gamified inoculation campaigns, which is a competence-oriented approach to Prebunking misinformation. This can be effective in helping people immunise the receiver against subsequent exposures. It can empower people to build competencies to detect misinformation through gamified interventions.
- Promotion of Prebunking and Debunking Campaigns through Algorithm Mechanisms: Tech/social media platforms may promote and guarantee that algorithms prioritise the distribution of Prebunking materials to users, boosting educational content that strengthens resistance to misinformation. Platform operators should incorporate algorithms that prioritise the visibility of Debunking content in order to combat the spread of erroneous information and deliver proper corrections; this can eventually address and aid in Prebunking and Debunking methods to reach a bigger or targeted audience.
- User Empowerment to Counter Misinformation: Tech/social media platforms can design user-friendly interfaces that allow people to access Prebunking materials, quizzes, and instructional information to help them improve their critical thinking abilities. Furthermore, they can incorporate simple reporting tools for flagging misinformation, as well as links to fact-checking resources and corrections.
- Partnership with Fact-Checking/Expert Organizations: Tech/social media platforms can facilitate Prebunking and Debunking initiatives/campaigns by collaborating with fact-checking/expert organisations and promoting such initiatives at a larger scale and ultimately fighting misinformation with joint hands initiatives.
Conclusion
The threat of online misinformation is only growing with every passing day and so, deploying effective countermeasures is essential. Prebunking and Debunking are the two such interventions. To sum up: Prebunking interventions try to increase resilience to misinformation, proactively lowering susceptibility to erroneous or misleading information and addressing broader patterns of misinformation consumption, while Debunking is effective in correcting a particular piece of misinformation and having a targeted impact on belief in individual false claims. An integrated approach involving both the methods and joint initiatives by tech/social media platforms and expert organizations can ultimately help in fighting the rising tide of online misinformation and establishing a resilient online information landscape.
References
- https://mark-hurlstone.github.io/THKE.22.BJP.pdf
- https://futurefreespeech.org/wp-content/uploads/2024/01/Empowering-Audiences-Through-%E2%80%98Prebunking-Michael-Bang-Petersen-Background-Report_formatted.pdf
- https://newsreel.pte.hu/news/unprecedented_challenges_Debunking_disinformation
- https://misinforeview.hks.harvard.edu/article/global-vaccination-badnews/

Introduction
On 27 July 2026, Bank of Baroda admitted to experiencing a cybersecurity attack, officially confirming many hours of chatter and speculation amongst Bank of Baroda customers and information security professionals. According to a statement by the bank issued through regulatory filing, the breach came about due to unauthorised access into some of its data via compromise of an employee’s email account; however, not much beyond these details was disclosed. In the meantime, allegations of a major large-scale data leak flooded into various platforms and forums of the cybersecurity world along with mainstream news outlets and, eventually, mainstream social networks. It’s now critically important for us to attempt to differentiate factual from unverified details about Bank of Baroda’s recent cybersecurity incident.
We will analyse and list what the bank has released, what our community research has discovered and also what questions are still left unanswered.
The bank's version
Bank of Baroda said the breach traced back to a single compromised employee email account, which gave an unknown party unauthorised access to "certain data". Crucially, the bank maintains that its core banking systems, that is, the infrastructure that actually moves customer money, were never touched. It says the incident was detected and contained quickly and that it is working with law enforcement and regulators while a forensic investigation continues. That's a fairly narrow admission compared with what had already surfaced on the dark web.
What the hackers claim
Days before the bank's statement, a relatively new ransomware and data-extortion group calling itself ‘TripleX’ listed Bank of Baroda on its dark web leak site, dated July 24. The group claimed to have pulled roughly 1 terabyte of data and, unusually, released the entire cache for free rather than holding it for ransom, framing the move on its leak page as punishment for the bank's weak passwords and security lapses.
Independent researcher Srikanth Lakshmanan, founder of the digital-rights group 'CashlessConsumer', examined samples of the leaked material before alerting the bank and authorities. He told India Today Tech that what he reviewed included internal branch audit files, loan appraisal documents, vigilance investigation records, audit reports tied to the bank's bob World mobile app, and customer account-opening forms.
Several outlets also reported that sample files appeared to contain Aadhaar numbers, customer photographs, and NetBanking details, alongside corporate and NRI banking records. It's worth being precise here, though: Reuters and other outlets have emphasised that the exact contents and true scale of the leak haven't been independently verified, and Bank of Baroda itself hasn't confirmed which specific data categories were exposed. Estimates of the dataset's size have also varied anywhere from around 700 gigabytes to a full terabyte, depending on the source.
A repeat offender
TripleX isn't new to targeting state-owned banks. The gang first appeared in May 2026, and only weeks before targeting Bank of Baroda, it claimed responsibility for hacking PT Bank Negara Indonesia – the largest of Indonesia's state-owned banks, which stole nearly 2 terabytes of documents, including contracts, IDs and transaction histories. Both compromises follow a familiar pattern. Identify one point of entry, extract widely, and instead of working in the background to negotiate for a ransom, publish everything for the largest damage possible.
This represents a notable break from typical ransomware attacks. Groups such as TripleX forego encryption, simply relying solely on the public pressure of (or actuality of) imminent disclosure to extort victims. It is the extortion component of "double extortion" with little incentive to pursue payment.
The regulatory clock
India's banking sector doesn't get much slack when something like this happens. The Reserve Bank of India's Cyber Security Framework for Banks requires an initial incident report within two to six hours of detection, and India's Computer Emergency Response Team (CERT-In) mandates reporting of specified incidents within six hours. Bank of Baroda has also reportedly filed a preliminary notice under a cyber-insurance programme arranged through National Insurance, offering total coverage of roughly $78 million, though it's far too early to know whether it will actually be paid out or how much will actually be paid out.
Looking ahead, India's Digital Personal Data Protection Rules are due to take effect in May 2027, which will tighten breach-notification obligations further. This incident lands right at the edge of that regulatory transition, arguably a preview of what's at stake for the next bank that gets hit.
A History of Data Security Missteps
This is not the first time banks’ technology has raised a red flag. In 2023, an investigation by The Reporters’ Collective and Al Jazeera discovered that bank employees had inserted the mobile numbers of unauthorised agents (including those belonging to staff and security guards) and other businesses into their customers' profiles to drive enrolment on the bank’s app – BoB World. Several of the bank's customers were later victims of fraud due to the unauthorised association of mobile numbers, and the bank had its own internally reported data issues that later led to the RBI mandating an audit and then prohibiting the bank from onboarding new Bob World users temporarily. Even though the two issues are not related, it serves as context; in the case of banks handling more than $300 billion in their global operations through over 8,400 domestic locations, room for security errors is marginal, and the damage, both public and regulatory, escalates from there on.
What it means for customers
For those who bank with the Bank of Baroda, the common-sense approach is checking statements for any unfamiliar transactions; beware unsolicited calls/messages referencing account details (which typically follow after identity document leaks are being used as a basis for secondary scams); and as a security precaution, change your NetBanking password and app PIN while no core systems of the bank are reported to have been breached; even so, it is advisable to apply. Because Aadhaar, if it has been really compromised, cannot be reset like a password, which is why a compromised identity document is typically of longer-term risk than a stolen password.
Conclusion
The bigger story here isn't just one bank's bad week. It's a reminder that in a system where a single compromised employee inbox can cascade into hundreds of gigabytes of exposed customer data, "our core systems weren't affected" is true and reassuring and, for anyone whose loan documents or ID numbers may now be sitting on a dark web forum, somewhat beside the point.
Sources
- Bank of Baroda confirms cyber incident after hackers claim data theft — The Record (Recorded Future News): https://therecord.media/india-bank-of-baroda-reports-cybersecurity-incident
- Bank of Baroda Data Leak: What We Know So Far — Gulf News: https://gulfnews.com/business/banking/bank-of-baroda-data-leak-what-we-know-so-far-about-alleged-cyber-breach-1.500621898
- Bank of Baroda Breach Tests Disclosure Readiness — GovInfoSecurity (ISMG): https://www.govinfosecurity.com/bank-baroda-breach-tests-disclosure-readiness-a-32335
- India's Bank of Baroda Faces Alleged 1TB Data Leak on Dark Web — Yahoo Finance / India Today Tech: https://finance.yahoo.com/technology/ai/articles/india-bank-baroda-faces-alleged-113047992.html
- Bank of Baroda Data Breach Exposes Customer Records — The Asian Banker: https://www.theasianbanker.com/updates-and-articles/india-s-bank-of-baroda-data-breach-exposes-customer-records-after-employee-email-compromise
- India's Bank of Baroda Expose Worsens: Agents Steal Money From Accounts (2023 background) — Al Jazeera: https://www.aljazeera.com/economy/2023/10/12/indias-bank-of-baroda-expose-worsens-agents-steal-money-from-accounts
- 'Immediate Containment Measures Implemented': Bank of Baroda Issues Clarity on Alleged 1TB Data Leak — Republic World: https://www.republicworld.com/business/immediate-containment-measures-implemented-bank-of-baroda-issues-clarity-on-1tb-data-leak-2026-07-27-133590

Executive Summary:
The picture of a boy making sand art of Indian Cricketer Virat Kohli spreading in social media, claims to be false. The picture which was portrayed, revealed not to be a real sand art. The analyses using AI technology like 'Hive' and ‘Content at scale AI detection’ confirms that the images are entirely generated by artificial intelligence. The netizens are sharing these pictures in social media without knowing that it is computer generated by deep fake techniques.

Claims:
The collage of beautiful pictures displays a young boy creating sand art of Indian Cricketer Virat Kohli.




Fact Check:
When we checked on the posts, we found some anomalies in each photo. Those anomalies are common in AI-generated images.

The anomalies such as the abnormal shape of the child’s feet, blended logo with sand color in the second image, and the wrong spelling ‘spoot’ instead of ‘sport’n were seen in the picture. The cricket bat is straight which in the case of sand made portrait it’s odd. In the left hand of the child, there’s a tattoo imprinted while in other photos the child's left hand has no tattoo. Additionally, the face of the boy in the second image does not match the face in other images. These made us more suspicious of the images being a synthetic media.
We then checked on an AI-generated image detection tool named, ‘Hive’. Hive was found to be 99.99% AI-generated. We then checked from another detection tool named, “Content at scale”


Hence, we conclude that the viral collage of images is AI-generated but not sand art of any child. The Claim made is false and misleading.
Conclusion:
In conclusion, the claim that the pictures showing a sand art image of Indian cricket star Virat Kohli made by a child is false. Using an AI technology detection tool and analyzing the photos, it appears that they were probably created by an AI image-generated tool rather than by a real sand artist. Therefore, the images do not accurately represent the alleged claim and creator.
Claim: A young boy has created sand art of Indian Cricketer Virat Kohli
Claimed on: X, Facebook, Instagram
Fact Check: Fake & Misleading