#FactCheck- Old 2019 Video Falsely Shared as Iran Seizing US Ship in Hormuz
Executive Summary:
Amid the ongoing tensions in West Asia, a video is being widely circulated on social media with the claim that Iran has seized a US ship in the Strait of Hormuz. However, a research by the CyberPeace found that the claim is false. The video is from 2019 and is unrelated to the current situation. It actually shows Iran’s Islamic Revolutionary Guard Corps (IRGC) seizing a British-flagged tanker, Stena Impero. The ongoing conflict involving the United States, Israel and Iran since late February has raised concerns over global energy supply. The Strait of Hormuz, located between Iran and Oman, is a key route for global oil and maritime trade. Rising tensions in the region have impacted this route, although Iran has stated that it has not been completely closed.
Claim:
Users on X (formerly Twitter) are sharing the video as breaking news, claiming that Iran has captured a US ship in the Strait of Hormuz. The posts suggest that the move is a direct warning to the United States.
Fact Check:
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. This led us to the same video posted on the X handle of Iran’s Press TV on July 20, 2019.
Link:
- https://x.com/PressTV/status/1152597789362262016?s=20
- https://x.com/PressTV/status/1152597789362262016?s=20
The caption of the post stated that the footage showed the moment when IRGC forces seized the British oil tanker Stena Impero in the Strait of Hormuz. Further, we found a July 2019 report by Al Jazeera that included visuals matching the viral video. According to the report, Iran’s IRGC had intercepted the British-flagged tanker on July 19, 2019, after which the footage was released.
https://www.aljazeera.com/news/2019/7/20/iran-releases-video-showing-capture-of-british-oil-tanker
Conclusion:
The viral claim is misleading. The video is not recent and does not show Iran capturing a US ship. It is from 2019 and depicts the seizure of the British tanker Stena Impero by Iran’s IRGC.
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Introduction
The recent investigation of Patan Cyber Crime Police as part of Operation Mule Hunt 2.0 reveals the sheer scale and intricacy of India's burgeoning cyber fraud economy. Police found that a total of 13 current accounts were being operated at a cooperative bank in the Patan district of Gujarat and used for siphoning 398.43 crore of cyber fraud transaction data on 228 cybercrime cases across states. Further investigations against 14 current account holders and intermediaries show the indispensability of mule accounts in laundering criminal money. The recent incident cannot be taken as isolated; the story points at a formalised and industrialised fraud economy with a robust banking infrastructure, a growing payment gateway, and complex networks.
What Is a Mule Account and Why Should You Care?
The term "mule account" is benign but plays a critical role in modern cybercrime networks. The Reserve Bank of India defines a mule account as a bank account that serves as a vehicle to transfer money proceeds from unlawful transactions and can be operated by people coerced by the prospect of high earnings or by way of inducement.
This mechanism can be witnessed through the investigation of the Patan cybercrime incident, where an investor can be defrauded by a fake investment website, employment fraud, or a digital arrest scheme. After transactions from the victim account, funds would quickly flow into the mule account, which would be held by a legitimate KYC customer. These transactions would then be passed on, between 1 lakh and 5 lakh transactions within hours, to multiple accounts as alleged by the Indian Cyber Crime Coordination Centre (I4C) before they get difficult to trace by being passed through informal channels or converted to cryptocurrency.
In the Patan case, it is alleged that the middlemen enticed locals and offered commissions to open firms and current accounts at Harij Nagrik Sahakari Bank and subsequently gave up their ATM cards, checkbooks, SIMs, and net banking facilities to the operators of the account. It is estimated that such accounts channeled an amount of 398.43 crore to 228 Indian cybercrime cases.
The Scale of India's Mule Account Crisis
The scale of the mule account ecosystem is reflected in India's rapidly worsening cybercrime statistics. As of data from the National Cyber Crime Reporting Portal (NCCRP), a total of 22.68 lakh complaints were registered in 2024, a jump by 42% from 2023. This was not even half the rate of financial loss, which jumped by 206% in 2023 (22,845 crore) and stood at 22,495 crore in 2025 (complaints jumped to 28.15 lakh). The increase in fraudulent transactions therefore outweighs the stability in financial losses significantly.
Mule accounts are the backbone of this crime network. To curb this phenomenon, the Indian Cyber Crime Coordination Centre (I4C) launched a Suspect Registry along with Indian banks and financial institutions in September 2024. 24.67 lakh accounts of suspected mules were identified in this, preventing over 8,031 crore in fraudulent transactions. Despite these efforts, a recent statement from the ED found over 12,000 crore being routed via mule accounts, shell firms, and cryptocurrency.
This isn't isolated to certain banks. 2024 alone saw over 65,000 mule accounts detected in Karnataka. By analyzing the Citizen Financial Cyber Frauds Reporting and Management System, about 40,000 such accounts were detected in SBI branches, and thousands more were detected across the PNB, Canara Bank, Kotak Mahindra Bank, and Airtel Payments Bank. The Patan case also clearly highlights that cooperative banks' lack of compliance and lower levels of transaction-monitoring systems contribute to easily creating and using mule accounts.
Operation Mule Hunt: Gujarat's Coordinated Offensive
This bust in Patan is just one manifestation of a much wider coordinated effort by the state government. Operation Mule Hunt 1.0, which ran from November to December 2025 across the state of Gujarat, was a month-long campaign by Gujarat Police's Cyber Centre of Excellence (CCOE) that unearthed 2,289 crore of fraudulent transactions, led to the registration of 565 FIRs, arrest of 638 accused, and impounding of 913 mule accounts with connections to over 4,000 cases of cybercrime nationwide.
This was followed up with the second installment of the operation, which was kicked off in all districts of Gujarat in 2026. The two-week campaign, which began across the state on January 8 this year, resulted in the Surat City Police alone arresting 77 people and uncovering close to 23.85 crore in fraudulent transactions. In what looks like one of the single largest single-district bust-ups in the operation, the Patan incident itself, with a staggering 398.43 crore routed through only 13 accounts, is remarkable.
The extraordinary nature of the operation is seen in the intelligence capabilities that drove it. It wasn't that police accidentally stumbled upon the Patan network; they worked back on it. After using data from the union government’s inter-agency platform, SAMANVAYA, a coordination platform for data on cybercrimes and the NCCRP, they traced suspicious clusters of transactions in the Harij Nagrik Sahakari Bank accounts to build a chain of evidence connecting the accountholders to the middlemen and, from the middlemen, to the whole ring of fraud. Twenty accused have been chargesheeted under the Bharatiya Nyaya Sanhita (BNS), and fourteen have been arrested, while six are still absconding.
The Human Cost Nobody Talks About
Behind every crore of scam money lies a real person who actually lost the real money. Of the 75%+ fraud losses incurred in 2025, 75% are from investment scams alone. Victims of stock trading scams lost ₹4,636 crore, spread across 2.28 lakh complaints filed in 2024. "Digital arrest" scams, in which fraudsters posing as law enforcement officials psychologically blackmail the victims to transfer money, claimed ₹2,576 crore between 2022 and the first quarter of 2025.
For the victims it's never about the money: it's the retired teacher's lifetime savings from Chhattisgarh, the small trader's capital from Rajkot, the emergency money of the Bhopal family, or just savings from an ordinary person. And the mule accounts' networks are why most of it is never retrieved. Once the money is thrown into the layering chain, it's exponentially more difficult to trace it after every jump.
Then there's another category of victims that often gets overlooked, and they are the mule account holders themselves, many being semi-literate people from semi-urban or rural backgrounds approached with ₹10,000 in commission and with no awareness about the legalities of lending their bank details. With the BNS now they stand to get convicted for grave crimes, but the awareness of this trap is very low.
Recommendations and Suggestions
This isn't something India is facing passively. I4C, along with RBI, has developed Mule Account Hunter software. This software can be used by banks for the detection of suspect accounts through the use of behavioral analysis, device intel, and transaction pattern recognition. The Union Home Minister has directly asked all cooperative banks across the country to adopt this software at the earliest. Failure to do so, he warned, would make consumer safety from cyber fraud incomplete.
Apart from technology, three other areas need to go hand in hand: stringent KYC enforcement for cooperative and small finance banks; the prime locations of the mule recruitment network; greater awareness for the masses regarding the criminal liability one takes up when lending their accounts; and efficient inter-agency coordination so that the intelligence gathered on platforms like SAMANVAYA is converted into arrests before the accounts are dumped and the network reforms in another location.
Operation Mule Hunt 2.0 proves that this is feasible. 13 accounts in a small district of Gujarat. 398 crore. 228 victims. 14 arrested. The pipeline did exist, and it has been broken.
Yet, even as one network is broken, another is forming, somewhere right now. The accounts will appear legitimate. The holders of these accounts may not even realize what they have got into. That is the true danger of the mule accounts and work that cannot stop.
Conclusion
The Patan investigation has clearly shown that mule accounts have now moved from being a subsidiary tool of financial crime to becoming the infrastructure that underpins the economy of cyber-fraud in India. Every financial fraud, including investment fraud, digital arrest fraud, and phishing scams, is backed by a string of real bank accounts where the proceeds of crime are transferred and the trail is obscured. Though attempts such as the I4C Suspect Registry have made attempts to break down this network, it remains an overwhelming task. Robust KYC norms, real-time monitoring of transactions, and coordination between banks, police, and regulators are the key in preventing further industrialisation of cyber financial fraud in India.
References
- https://timesofindia.indiatimes.com/city/ahmedabad/operation-mule-hunt-2-0-gujarat-
- police-bust-rs-398-43-crore-cyber-fraud-14-held/articleshow/131594240.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst
- https://the420.in/india-cybercrime-2024-42-percent-spike-sims-imei-mule-accounts/
- https://www.thehansindia.com/news/national/ed-explains-how-mule-accounts-and-crypto-networks-enabled-12000-crore-cyber-fraud-1047606
- https://www.zigram.tech/article/mule-accounts-tier-1-tier-2-cities-india/
- https://risk.lexisnexis.com/global/en/insights-resources/article/stopping-money-mules-in-india
- https://timesofindia.indiatimes.com/city/ahmedabad/operation-mule-hunt-2-0-gujarat-police-bust-rs-398-43-crore-cyber-fraud-14-held/articleshow/131594240.cms
Artificial Intelligence (AI) continues to grow in importance in today’s world not just as technological advancement but also becoming the backbone of economic growth, national security, scientific research, and digital governance. However, AI innovations of such a sophisticated kind require significant computing power that is currently only within the reach of a few countries. Against this backdrop, India and the United Arab Emirates (UAE) have taken a significant step by partnering to build one of India's most powerful AI supercomputing infrastructures. What began as a discussion about digital infrastructure under the ambit of the new found India-UAE tech relationship, has come to a stage that is likely to usher in new AI-centric developments in the country, while bolstering the partnership between India and UAE.
From Vision to Concrete Action
This collaboration stemmed from the strengthening relationship between India and the UAE. The goal is to focus more on digital cooperation after the 2023 G20 Summit held in India. During this period, Artificial Intelligence, digital public infrastructure, and strong digital ecosystems became key topics of discussion between the two countries. This partnership received formal recognition with the India-UAE Digital Infrastructure Memorandum of Understanding (MoU) signed in 2024. This agreement identified Artificial Intelligence, high-performance computing (HPC), cloud infrastructure, and digital innovation as priority areas for cooperation.
The initiative has now moved from policy talks to actual implementation. In February 2026, the UAE announced plans to deploy an 8-exaflop AI Super Computing Cluster in partnership between CDAC and in May 2026, when our Hon’ble Prime Minister visited UAE, both governments formalized the commercial framework for establishing the system, marking one of the largest AI infrastructure collaborations between the two countries. It was one the significant agendas discussed between the two countries among others.
What Does the Agreement Include?
The agreement between the countries is for the deployment of ‘Condor Galaxy India supercomputer’, which is an AI supercomputing cluster designed specifically for complex and advanced artificial intelligence workloads. Some of the major points of agreement include:
- Deployment of an 8 Exaflop Super Computing Cluster, meaning it can perform up to eight quintillion (8 × 10¹⁸) AI-related calculations per second. This would place it among the world's most powerful AI supercomputing systems.
- This project will be implemented by G42, which is an Abu Dhabi-based AI technology company, in partnership with India's Centre for Development of Advanced Computing (C-DAC).
- The computing infrastructure will utilise 64 Cerebras CS-3 AI systems, built using wafer-scale processor technology designed for large AI models.
- G42 and C-DAC will jointly oversee installation, deployment, operation, and maintenance of the infrastructure.
- The supercomputer will support India's IndiaAI Mission, strengthening domestic AI research and innovation. It is also a step in the direction of India’ AI mission through mindful collaboration.
- Notably, the system will be physically located within India and operate under Indian governance frameworks and laws ensuring that sensitive datasets remain under India’s jurisdiction.
While beyond the infrastructure, the partnership also aims for research efforts within fields like healthcare & genomics, climate change modeling & optimization of energy, geointelligence, research studies & government usages, as well as growing startups in AI. It is hoped that the computing infrastructure will be made accessible to researchers, academic bodies, government organizations & startups from both nations to foster collaborative research.
How Are India and the UAE Collaborating?
The partnership involves more than simply sharing the hardware, the two countries are entering into a multiyear technology partnership where each brings different but complementary expertise. On one hand India offers the knowledge and experience of C-DAC, a large number of AI engineers, startups, academics and researchers, and the IndiaAI Mission, a framework to enable access to the advanced computing infrastructure needed to use these researchers.
In return, the UAE offers investment in AI infrastructure and expertise in global AI cloud infrastructure, and sovereign AI platform development, from AI cloud infrastructure company G42, a company that has deployed large AI computing clusters as part of the Condor Galaxy network. Among the biggest names involved in the new initiative is also Cerebras Systems, the artificial intelligence (AI) computing company that will supply the AI chips for the supercomputer. The leading designer of AI compute technology, Cerebras develops the world's fastest AI hardware. In particular, the flagship Wafer Scale Engine (WSE-3), a revolutionary single chip that is the largest AI processor in the world, offers significant gains in speed and computational efficiency. This partnership will spur a joint R&D effort. That allows both India and the UAE to harness their respective knowledge and resources to accelerate better results for all stakeholders in various domains.
This collaboration will enable joint research and development (R&D), allowing both countries to combine their expertise and resources to produce more effective outcomes that are mutually beneficial across multiple sectors.
Cyber and Digital Security Benefits
From a cybersecurity perspective, this partnership is particularly significant.
- Moving towards AI Sovereignty
Possessing the infrastructure within India can ensure that sensitive government, healthcare, research, and enterprise data remains within Indian jurisdiction. This will reduce dependence on foreign cloud infrastructure while improving regulatory control over sensitive and critical datasets.
- Modernising Cyber Defence
Having a high-performance computing system will improve our cyber defence through AI-based threat detection, malware flagging, vulnerability assessment and cyber testing of safeguarding critical infrastructure. These are necessary in current times considering the growing capabilities and mode of cyber attacks.
- Secure AI Development
Countries worldwide are moving toward "Sovereign AI" which is a goal of developing AI systems within nationally governed infrastructure to protect sensitive information. The India-UAE partnership directly supports this objective by combining national governance and world-class computing capability development.
- Economic Benefits for India
The project offers several long-term economic advantages. First, easing the entry barrier for startups and researchers in India as they are often reliant on expensive overseas cloud computing services. Second, enabling availability of more computing power that can accelerate innovation across sectors such as healthcare, agriculture, manufacturing, fintech, education, and logistics. Third, stronger AI computing infrastructure could foster the inflow of global capital into India’s tech ecosystem by provisioning requisite resources to run frontier AI computations. Finally, the initiative supports India's ambition of becoming a global AI innovation hub under the IndiaAI Mission by enabling domestic development of advanced AI models rather than relying solely on imported technologies that will in long-term make India a sought out destination as an AI-hub.
Why the UAE Benefits?
In the case of the UAE, the partnership further helps Abu Dhabi's vision to become a global leader in artificial intelligence by extending the reach of G42's AI capabilities internationally, while strengthening ties with one of the world’s leading digital economies as a trusted strategic technology partner. In harnessing India's extensive talent base, research communities, and growing AI capabilities, the UAE unlocks opportunities for scale and innovation, while also cementing its status as a dependable technological enabler across emerging economies. The project is a part of the UAE’s long-standing agenda to move away from hydrocarbons and towards growth in areas such as AI, digital infrastructure, and technologies of the future.
Conclusion
The India-UAE supercomputer collaboration is a step in the direction of being self-dependent in terms of having a strong computing infrastructure base in India. This also changes the outlook of international technology partnerships from traditional trade relationships to collaborations focused on AI, digital infrastructure, research, and strategic innovation. AI is becoming a defining factor in economic competitiveness and national resilience on a global scale and the access to sovereign computing infrastructure will increasingly shape our influence in world markets. By uniting UAE’s investment capacity and AI infrastructure expertise and India’s advantages. If successfully implemented, the collaboration could serve as a model of what cooperation toward sovereign and trusted AI can entail.
REFERENCES
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2006207®=48&lang=2
- https://www.pib.gov.in/PressReleaseDetail.aspx?PRID=2261385®=48&lang=1
- https://www.pib.gov.in/PressReleaseDetail.aspx?PRID=2261393®=48&lang=1
Executive Summary
Amid rising tensions between the United States, Israel, and Iran, a video is circulating on social media claiming that Burj Khalifa in Dubai has been attacked. The clip is being widely shared with users alleging that a strike took place near the iconic skyscraper. However, research by CyberPeace found the claim to be misleading. Our research revealed that the viral video is not real and was generated using artificial intelligence.
Claim
On March 1, 2026, a Facebook user shared the viral clip claiming that an attack had taken place in Dubai. The post was shared with the caption: “Dubai has been attacked.” The link to the post and its archive is provided below along with a screenshot.
Fact Check
To verify the claim, we first searched Google using relevant keywords. During this process, we found a report published on March 1, 2026, by the Indian news outlet Dainik Bhaskar.
According to the report, tensions in the Middle East escalated amid the Israel–Iran conflict, impacting several countries in the region. A drone incident reportedly occurred near Burj Khalifa, prompting authorities to evacuate the building as a precautionary measure and temporarily switch off its lights. However, the visuals seen in the viral video do not match the details or imagery described in the report. Upon closely examining the viral clip, we noticed several technical inconsistencies and unusual visual elements, raising suspicions that the video might have been generated using artificial intelligence. To verify this, we analyzed the video using the AI detection tool Sightengine. The results indicated a 99% probability that the video was AI-generated.
Conclusion
Our research found that the viral video circulating on social media is not authentic. The footage was created using artificial intelligence and does not depict a real attack on Burj Khalifa.
