#FactCheck- AI-Generated Train Video Falsely Shows Muslims Praying in Japan A video purportedly showing
Executive Summary
Muslims offering prayers inside a crowded train in Japan is being widely shared on social media, amid ongoing discussions around the country’s alleged rise in anti-immigration sentiment. The clip is being presented as a recent and real incident. However, an research reveals that the video is not authentic. Experts noted that the prayer postures shown in the clip do not align with standard Islamic practices, raising doubts about its credibility. Further analysis indicates that the video has been generated using artificial intelligence (AI).
Claim
A user shared the viral video on YouTube, showing a group of men—mostly dressed in long tunics and skullcaps—appearing to offer prayers inside a moving subway train. Passengers can be seen seated on both sides of the carriage. In the clip, two men are kneeling on the floor and bowing their heads onto a small mat placed in front of them, with their heads coming very close to the knees of seated passengers. Another man is seen bending forward at the waist while standing, and a fourth appears to be standing upright with his eyes closed.
- Link: https://www.youtube.com/shorts/cZHMCUgbDIA
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Fact Check
A closer examination of the video reveals several visual inconsistencies. One passenger appears to be fused with the seat rails, creating a distorted overlap. Others seem to be seated in areas where seats do not normally exist, such as directly in front of a door. Additionally, an advertisement visible in the background appears blurred and oddly shaped—another common indicator of AI-generated content. An analysis conducted using the Hive Moderation tool found that the video is “likely to contain AI-generated or deepfake content.”
Conclusion
The viral claim is misleading. The video does not depict a real incident in Japan. Instead, it is likely AI-generated content being circulated with a false narrative, misrepresenting both the context and religious practices shown in the clip.
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India’s Rapid Digital Expansion
Over the past decade, India has experienced a rapid digitalisation process. The rise of digital financial services, affordable internet costs, and the penetration of smartphones have transformed the way people communicate, transact and do business online.
Online payment systems, including Unified Payments Interface (UPI), have enabled real-time transactions between banks and financial systems. As much as these systems have enhanced access to finance and efficiency, they have also created new opportunities for cybercriminals.
Cybercrime has evolved alongside the shift of financial and social interactions to digital platforms. The fraud attacks on online payments, online banking, and personal information have become common and increasingly costly.
To analyse the scale and trend of cybercrime in India, this analysis will use the datasets released by the National Crime Records Bureau (NCRB) and financial fraud data released by the Indian Cyber Crime Coordination Centre (I4C) under the Ministry of Home Affairs.
The Rise of Cybercrime in India
The Rise of Cybercrime in India
Source: National Crime Records Bureau – Crime in India Reports
The data released by the NCRB documents cybercrime incidents registered by the police at the national level under the Information Technology Act, 2000 (IT Act) and criminal provisions covering offences such as cheating, impersonation, and digital fraud. In the past, the offences were listed in the provisions of the Indian Penal Code (IPC). Following criminal law reforms in India, on 1 July 2024, the Bharatiya Nyaya Sanhita (BNS), which replaced the IPC, came into force. Section 419 (cheating by impersonation), IPC, would be related to BNS Section 319 and Section 420 (cheating and dishonestly inducing delivery of property), which would be related to BNS Section 318(4). Similarly, crimes involving forgery and use of forged documents or electronic documents, which were previously contained in the IPC Sections 465-471, are dealt with in BNS Sections 335-340.
The data published by the NCRB represent the number of crimes that reached the point of the First Information Report (FIR) registration, meaning they reflect only cybercrime cases that were formally presented to the law enforcement system to investigate, rather than all complaints reported. The data shows that cybercrime cases increased from 27,248 in 2018 to 86,420 in 2023, a 3.17-fold increase in 5 years.
Two structural shifts are visible: the post-pandemic jump and subsequent acceleration.
However, these figures likely underestimate the true scale of cybercrime because many incidents are reported only through online complaint portals and may not result in FIR registration.
The Financial Scale of Digital Fraud
The Financial Scale of Digital Fraud
This dataset tracks financial fraud complaints reported through the National Cyber Crime Reporting Portal (NCRP) and the estimated financial losses associated with those complaints.
The financial losses reported between 2021 and 2024 increased by 41 times over four years, compared to 2021, from 551 crore to 22,848 crore. At the same time, the number of complaints rose from 262,846 to over 1.9 million, an increase of ~623%, indicating both rising victimisation and greater public awareness of reporting mechanisms.
The contrast between these two trends is striking:
While complaints increased by around 7 times, financial losses increased by over 40 times.
Distribution of Cyber-Fraud Complaints and Financial Losses by Fraud Type
This divergence implies an uneven relationship between the number of incidents and the financial damage that they inflict. Most cyber fraud incidents involve relatively small transaction values; however, a smaller group of fraud categories result in disproportionate numbers of financial losses.
Distribution of Financial Losses Across Major Cyber-Fraud Categories in India
As reported by The Indian Express, based on the data compiled by the I4C, investment-related scams alone account for roughly 77% of reported cyber-fraud losses, followed by smaller shares from “digital arrest” scams (8%), credit card fraud (7%), sextortion (4%), e-commerce fraud (3%), and malware or app-based fraud (1%). This distribution means that even though scams with lower values, like phishing, OTP fraud, and small payment fraud, produce a high proportion of complaints, few categories of fraud produce most of the financial losses.
Analysis
1. Cybercrime is expanding faster than most traditional crimes: The fact that cybercrime cases have tripled in five years shows that cyber offences are presently becoming a significant element of Indian crime. Unlike conventional crimes that require physical proximity, cybercrime can be conducted remotely and at scale, enabling perpetrators to target large numbers of victims simultaneously.
2. Financial losses are concentrated in a small set of fraud categories: As cases of cybercrimes have been on the increase, the monetary losses of digital fraud cases have been increasing at a higher rate. The fact that the number of reported financial losses has increased 40 times in 4 years indicates that cybercrime has a very high economic impact.
3. Complaint volumes and financial damage follow different patterns: When comparing complaints and financial losses, it is evident that cyber fraud losses are unevenly distributed across types of incidents. Most of the prevalent scams reported, including phishing or OTP fraud, involve relatively small transaction values but yield a high portion of complaints. Conversely, fewer categories of fraud, especially investment-based schemes, contribute a significantly higher percentage of total financial losses.
4. Digital financial infrastructure has expanded the attack surface: India’s rapid adoption of digital payment systems, mobile banking and digital financial systems has dramatically increased the number of potential victims of cybercriminals. The scale of online transactions creates new vulnerabilities that organised cybercrime networks take advantage of.
5. Reporting improvements reveal previously hidden crime: The expansion of national reporting systems has enhanced the transparency in the trends of cybercrime. The increase in the number of complaints recorded is partially due to improved reporting systems and not necessarily to the increased criminal activity, meaning that previous data might have understated the magnitude of cyber fraud.
Recommendations
1. Move from reactive policing to proactive cyber-risk monitoring: The conventional models of policing focus on investigation of crimes that have already taken place. With such a magnitude and pace of cyber fraud, India should have systems that are designed to detect and prevent the fraud at its early stages, such as real-time observation of suspicious patterns in transactions by financial institutions.
2. Strengthen financial intelligence sharing across institutions: There are a lot of instances of cyber fraud that use more than one bank, payment system, and telecommunication provider. To detect new networks of fraud sooner, it can be suggested to establish more information-sharing measures between the financial institution and law enforcement agencies.
3. Target organised cyber fraud networks rather than individual incidents: Many digital scams operate through organised networks that coordinate phishing, mule accounts, and fake payment channels. The solution in regard to this involves dismantling these networks through investigative procedures instead of treating incidents on a case-by-case basis.
4. Improve recovery mechanisms for stolen funds: The recovery of the funds lost is one of the most difficult issues in cases of cyber fraud. Expanding systems such as the Citizen Financial Cyber Fraud Reporting and Management System (CFCFRMS) can improve the speed at which fraudulent transactions are frozen or reversed.
5. Strengthen digital financial literacy: A significant percentage of cyber frauds are based on social engineering methods that take advantage of user behaviour as opposed to technical weaknesses. Victimisation can be greatly reduced through specific public awareness efforts on typical scam schemes.
Conclusion
India’s experience illustrates a broader global trend: as economies digitise, crime increasingly follows the flow of digital money. While cybercrime incidents are rising steadily, the much faster growth in financial losses suggests that cybercriminals are becoming more organised, technologically sophisticated, and economically motivated.
References:
- https://indianexpress.com/article/india/indians-lost-rs-53000-crore-fraud-cheating-cases-six-years-maharashtra-2025-10452185/
- https://www.pib.gov.in/PressReleasePage.aspx?PRID=2226441®=3&lang=2 -
- https://www.ncrb.gov.in/crime-in-india.html
- https://i4c.mha.gov.in/index.aspx
- https://i4c.mha.gov.in/index.aspx
Introduction
The G7 nations, a group of the most powerful economies, have recently turned their attention to the critical issue of cybercrimes and (AI) Artificial Intelligence. G7 summit has provided an essential platform for discussing the threats and crimes occurring from AI and lack of cybersecurity. These nations have united to share their expertise, resources, diplomatic efforts and strategies to fight against cybercrimes. In this blog, we shall investigate the recent development and initiatives undertaken by G7 nations, exploring their joint efforts to combat cybercrime and navigate the evolving landscape of artificial intelligence. We shall also explore the new and emerging trends in cybersecurity, providing insights into ongoing challenges and innovative approaches adopted by the G7 nations and the wider international community.
G7 Nations and AI
Each of these nations have launched cooperative efforts and measures to combat cybercrime successfully. They intend to increase their collective capacities in detecting, preventing, and responding to cyber assaults by exchanging intelligence, best practices, and experience. G7 nations are attempting to develop a strong cybersecurity architecture capable of countering increasingly complex cyber-attacks through information-sharing platforms, collaborative training programs, and joint exercises.
The G7 Summit provided an important forum for in-depth debates on the role of artificial intelligence (AI) in cybersecurity. Recognising AI’s transformational potential, the G7 nations have participated in extensive discussions to investigate its advantages and address the related concerns, guaranteeing responsible research and use. The nation also recognises the ethical, legal, and security considerations of deploying AI cybersecurity.
Worldwide Rise of Ransomware
High-profile ransomware attacks have drawn global attention, emphasising the need to combat this expanding threat. These attacks have harmed organisations of all sizes and industries, leading to data breaches, operational outages, and, in some circumstances, the loss of sensitive information. The implications of such assaults go beyond financial loss, frequently resulting in reputational harm, legal penalties, and service delays that affect consumers, clients, and the public. The increase in high-profile ransomware incidents has garnered attention worldwide, Cybercriminals have adopted a multi-faceted approach to ransomware attacks, combining techniques such as phishing, exploit kits, and supply chain Using spear-phishing, exploit kits, and supply chain hacks to obtain unauthorised access to networks and spread the ransomware. This degree of expertise and flexibility presents a substantial challenge to organisations attempting to protect against such attacks.
Focusing On AI and Upcoming Threats
During the G7 summit, one of the key topics for discussion on the role of AI (Artificial Intelligence) in shaping the future, Leaders and policymakers discuss the benefits and dangers of AI adoption in cybersecurity. Recognising AI’s revolutionary capacity, they investigate its potential to improve defence capabilities, predict future threats, and secure vital infrastructure. Furthermore, the G7 countries emphasise the necessity of international collaboration in reaping the advantages of AI while reducing the hazards. They recognise that cyber dangers transcend national borders and must be combated together. Collaboration in areas such as exchanging threat intelligence, developing shared standards, and promoting best practices is emphasised to boost global cybersecurity defences. The G7 conference hopes to set a global agenda that encourages responsible AI research and deployment by emphasising the role of AI in cybersecurity. The summit’s sessions present a path for maximising AI’s promise while tackling the problems and dangers connected with its implementation.
As the G7 countries traverse the complicated convergence of AI and cybersecurity, their emphasis on collaboration, responsible practices, and innovation lays the groundwork for international collaboration in confronting growing cyber threats. The G7 countries aspire to establish robust and secure digital environments that defend essential infrastructure, protect individuals’ privacy, and encourage trust in the digital sphere by collaboratively leveraging the potential of AI.
Promoting Responsible Al development and usage
The G7 conference will focus on developing frameworks that encourage ethical AI development. This includes fostering openness, accountability, and justice in AI systems. The emphasis is on eliminating biases in data and algorithms and ensuring that AI technologies are inclusive and do not perpetuate or magnify existing societal imbalances.
Furthermore, the G7 nations recognise the necessity of privacy protection in the context of AI. Because AI systems frequently rely on massive volumes of personal data, summit speakers emphasise the importance of stringent data privacy legislation and protections. Discussions centre around finding the correct balance between using data for AI innovation, respecting individuals’ privacy rights, and protecting data security. In addition to responsible development, the G7 meeting emphasises the importance of responsible AI use. Leaders emphasise the importance of transparent and responsible AI governance frameworks, which may include regulatory measures and standards to ensure AI technology’s ethical and legal application. The goal is to defend individuals’ rights, limit the potential exploitation of AI, and retain public trust in AI-driven solutions.
The G7 nations support collaboration among governments, businesses, academia, and civil society to foster responsible AI development and use. They stress the significance of sharing best practices, exchanging information, and developing international standards to promote ethical AI concepts and responsible practices across boundaries. The G7 nations hope to build the global AI environment in a way that prioritises human values, protects individual rights, and develops trust in AI technology by fostering responsible AI development and usage. They work together to guarantee that AI is a force for a good while reducing risks and resolving social issues related to its implementation.
Challenges on the way
During the summit, the nations, while the G7 countries are committed to combating cybercrime and developing responsible AI development, they confront several hurdles in their efforts. Some of them are:
A Rapidly Changing Cyber Threat Environment: Cybercriminals’ strategies and methods are always developing, as is the nature of cyber threats. The G7 countries must keep up with new threats and ensure their cybersecurity safeguards remain effective and adaptable.
Cross-Border Coordination: Cybercrime knows no borders, and successful cybersecurity necessitates international collaboration. On the other hand, coordinating activities among nations with various legal structures, regulatory environments, and agendas can be difficult. Harmonising rules, exchanging information, and developing confidence across states are crucial for effective collaboration.
Talent Shortage and Skills Gap: The field of cybersecurity and AI knowledge necessitates highly qualified personnel. However, skilled individuals in these fields need more supply. The G7 nations must attract and nurture people, provide training programs, and support research and innovation to narrow the skills gap.
Keeping Up with Technological Advancements: Technology changes at a rapid rate, and cyber-attacks become more complex. The G7 nations must ensure that their laws, legislation, and cybersecurity plans stay relevant and adaptive to keep up with future technologies such as AI, quantum computing, and IoT, which may both empower and challenge cybersecurity efforts.
Conclusion
To combat cyber threats effectively, support responsible AI development, and establish a robust cybersecurity ecosystem, the G7 nations must constantly analyse and adjust their strategy. By aggressively tackling these concerns, the G7 nations can improve their collective cybersecurity capabilities and defend their citizens’ and global stakeholders’ digital infrastructure and interests.
Executive Summary:
A video circulating online claims to show a man being assaulted by BSF personnel in India for selling Bangladesh flags at a football stadium. The footage has stirred strong reactions and cross border concerns. However, our research confirms that the video is neither recent nor related to the incident that occurred in India. The content has been wrongly framed and shared with misleading claims, misrepresenting the actual incident.
Claim:
It is being claimed through a viral post on social media that a Border Security Force (BSF) soldier physically attacked a man in India for allegedly selling the national flag of Bangladesh in West Bengal. The viral video further implies that the incident reflects political hostility towards Bangladesh within Indian territory.
Fact Check:
After conducting thorough research, including visual verification, reverse image searching, and confirming elements in the video background, we determined that the video was filmed outside of Bangabandhu National Stadium in Dhaka, Bangladesh, during the crowd buildup prior to the AFC Asian Cup. A match featuring Bangladesh against Singapore.
Second layer research confirmed that the man seen being assaulted is a local flag-seller named Hannan. There are eyewitness accounts and local news sources indicating that Bangladeshi Army officials were present to manage the crowd on the day under review. During the crowd control effort a soldier assaulted the vendor with excessive force. The incident created outrage to which the Army responded by identifying the officer responsible and taking disciplinary measures. The victim was reported to have been offered reparations for the misconduct.
Conclusion:
Our research confirms that the viral video does not depict any incident in India. The claim that a BSF officer assaulted a man for selling Bangladesh flags is completely false and misleading. The real incident occurred in Bangladesh, and involved a local army official during a football event crowd-control situation. This case highlights the importance of verifying viral content before sharing, as misinformation can lead to unnecessary panic, tension, and international misunderstanding.
- Claim: Viral video claims BSF personnel thrashing a person selling Bangladesh National Flag in West Bengal
- Claimed On: Social Media
- Fact Check: False and Misleading
