#FactCheck – Elephant Falls From Truck? No, This Elephant Fall Video Is AI-Manipulated
Executive Summary:
A video circulating on social media claims to show a live elephant falling from a moving truck due to improper transportation, followed by the animal quickly standing up and reacting on a public road. The content may raise concerns related to animal cruelty, public safety, and improper transport practices. A detailed examination using AI content detection tools, visual anomaly analysis indicates that the video is not authentic and is likely AI generated or digitally manipulated.
Claim:
The viral video (archive link) shows a disturbing scene where a large elephant is allegedly being transported in an open blue truck with barriers for support. As the truck moves along the road, the elephant shifts its weight and the weak side barrier breaks. This causes the elephant to fall onto the road, where it lands heavily on its side. Shortly after, the animal is seen getting back on its feet and reacting in distress, facing the vehicle that is recording the incident. The footage may raise serious concerns about safety, as elephants are normally transported in reinforced containers, and such an incident on a public road could endanger both the animal and people nearby.
Fact Check:
After receiving the video, we closely examined the visuals and noticed some inconsistencies that raised doubts about its authenticity. In particular, the elephant is seen recovering and standing up unnaturally quickly after a severe fall, which does not align with realistic animal behavior or physical response to such impact.
To further verify our observations, the video was analyzed using the Hive Moderation AI Detection tool, which indicated that the content is likely AI generated or digitally manipulated.
Additionally, no credible news reports or official sources were found to corroborate the incident, reinforcing the conclusion that the video is misleading.
Conclusion:
The claim that the video shows a real elephant transport accident is false and misleading. Based on AI detection results, observable visual anomalies, and the absence of credible reporting, the video is highly likely to be AI generated or digitally manipulated. Viewers are advised to exercise caution and verify such sensational content through trusted and authoritative sources before sharing.
- Claim: The viral video shows an elephant allegedly being transported, where a barrier breaks as it moves, causing the animal to fall onto the road before quickly getting back on its feet.
- Claimed On: X (Formally Twitter)
- Fact Check: False and Misleading
Related Blogs
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
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Introduction
In July 2025, the Digital Defence Report prepared by Microsoft raised an alarm that India is part of the top target countries in AI-powered nation-state cyberattacks with malicious agents automating phishing, creating convincing deepfakes, and influencing opinion with the help of generative AI (Microsoft Digital Defence Report, 2025). Most of the attention in the world has continued to be on the United States and Europe, but Asia-Pacific and especially India have become a major target in terms of AI-based cyber activities. This blog discusses the role of AI in espionage, redefining the threat environment of India, the reaction of the government, and what India can learn by looking at the example of cyber giants worldwide.
Understanding AI-Powered Cyber Espionage
Conventional cyber-espionage intends to hack systems, steal information or bring down networks. With the emergence of generative AI, these strategies have changed completely. It is now possible to automate reconnaissance, create fake voices and videos of authorities and create highly advanced phishing campaigns which can pass off as genuine even to a trained expert. According to the report made by Microsoft, AI is being used by state-sponsored groups to expand their activities and increase accuracy in victims (Microsoft Digital Defence Report, 2025). Based on SQ Magazine, almost 42 percent of state-based cyber campaigns in 2025 had AIs like adaptive malware or intelligent vulnerability scanners (SQ Magazine, 2025).
AI is altering the power dynamic of cyberspace. The tools previously needing significant technical expertise or substantial investments have become ubiquitous, and smaller countries can conduct sophisticated cyber operations as well as non-state actors. The outcome is the speeding up of the arms race with AI serving as the weapon and the armour.
India’s Exposure and Response
The weakness of the threat landscape lies in the growing online infrastructure and geopolitical location. The attack surface has expanded the magnitude of hundreds of millions of citizens with the integration of platforms like DigiLocker and CoWIN. Financial institutions, government portals and defence networks are increasingly becoming targets of cyber attacks that are more sophisticated. Faking videos of prominent figures, phishing letters with the official templates, and manipulation of the social media are currently all being a part of disinformation campaigns (Microsoft Digital Defence Report, 2025).
According to the Data Security Council of India (DSCI), the India Cyber Threat Report 2025 reported that attacks using AI are growing exponentially, particularly in the shape of malicious behaviour and social engineering (DSCI, 2025). The nodal cyber-response agency of India, CERT-In, has made several warnings regarding scams related to AI and AI-generated fake content that is aimed at stealing personal information or deceiving the population. Meanwhile, enforcement and red-teaming actions have been intensified, but the communication between central agencies and state police and the private platforms is not even. There is also an acute shortage of cybersecurity talents in India, as less than 20 percent of cyber defence jobs are occupied by qualified specialists (DSCI, 2025).
Government and Policy Evolution
The government response to AI-enabled threats is taking three forms, namely regulation, institutional enhancing, and capacity building. The Digital Personal Data Protection Act 2023 saw a major move in defining digital responsibility (Government of India, 2023). Nonetheless, threats that involve AI-specific issues like data poisoning, model manipulation, or automated disinformation remain grey areas. The following National Cybersecurity Strategy will attempt to remedy them by establishing AI-government guidelines and responsibility standards to major sectors.
At the institutional level, the efforts of such organisations as the National Critical Information Infrastructure Protection Centre (NCIIPC) and the Defence Cyber Agency are also being incorporated into their processes with the help of AI-based monitoring. There is also an emerging public-private initiative. As an example, the CyberPeace Foundation and national universities have signed a memorandum of understanding that currently facilitates the specialised training in AI-driven threat analysis and digital forensics (Times of India, August 2025). Even after these positive indications, India does not have any cohesive system of reporting cases of AI. The publication on arXiv in September 2025 underlines the importance of the fact that legal approaches to AI-failure reporting need to be developed by countries to approach AI-initiated failures in such fields as national security with accountability (arXiv, 2025).
Global Implications and Lessons for India
Major economies all over the world are increasing rapidly to integrate AI innovation with cybersecurity preparedness. The United States and United Kingdom are spending big on AI-enhanced military systems, performing machine learning in security operations hubs and organising AI-based “red team” exercises (Microsoft Digital Defence Report, 2025). Japan is testing cross-ministry threat-sharing platforms that utilise AI analytics and real-time decision-making (Microsoft Digital Defence Report, 2025).
Four lessons can be distinguished as far as India is concerned.
- To begin with, the cyber defence should shift to proactive intelligence in place of reactive investigation. It is not only possible to detect the adversary behaviour after the attacks, but to simulate them in advance using AI.
- Second, teamwork is essential. The issue of cybersecurity cannot be entrusted to government enforcement. The private sector that maintains the majority of the digital infrastructure in India must be actively involved in providing information and knowledge.
- Third, there is the issue of AI sovereignty. Building or hosting its own defensive AI tools in India will diminish dependence on foreign vendors, and minimise the possible vulnerabilities of the supply-chain.
- Lastly, the initial defence is digital literacy. The citizens should be trained on how to detect deepfakes, phishing, and other manipulated information. The importance of creating human awareness cannot be underestimated as much as technical defences (SQ Magazine, 2025).
Conclusion
AI has altered the reasoning behind cyber warfare. There are quicker attacks, more difficult to trace and scalable as never before. In the case of India, it is no longer about developing better firewalls but rather the ability to develop anticipatory intelligence to counter AI-powered threats. This requires a national policy that incorporates technology, policy and education.
India can transform its vulnerability to strength with the sustained investment, ethical AI governance, and healthy cooperation between the government and the business sector. The following step in cybersecurity does not concern who possesses more firewalls than the other but aims to learn and adjust more quickly and successfully in a world where machines already belong to the battlefield (Microsoft Digital Defence Report, 2025).
References:
- Microsoft Digital Defense Report 2025
- India Cyber Threat Report 2025, DSCI
- Lucknow based organisations to help strengthen cybercrime research training policy ecosystem
- AI Cyber Attacks Statistics 2025: How Attacks, Deepfakes & Ransomware Have Escalated, SQ Magazine
- Incorporating AI Incident Reporting into Telecommunications Law and Policy: Insights from India.
- The Digital Personal Data Protection Act, 2023
Executive Summary
A video circulating on social media claims that Iran’s new Supreme Leader Mojtaba Khamenei has passed away, with users attributing the claim to American sources. However, research by the CyberPeace found the claim to be false. Our research confirms that Mojtaba Khamenei is alive and in good health.
Claim
A Facebook user shared the viral video, claiming that Iran’s new Supreme Leader Mojtaba Khamenei had died.
Fact Check
To verify the claim, we conducted keyword searches on Google but found no credible media reports confirming his death. Further research led us to a report published on April 10, 2026, by ABP News. According to the report, amid discussions around a ceasefire, Mojtaba Khamenei issued a statement saying that Iran does not seek war with the United States or Israel, but as a nation, it must defend its rights.
Additionally, the image used in the viral video was analyzed using the AI detection tool HIVE Moderation. The results indicated a 99% probability that the image is AI-generated.
Conclusion
The viral claim is false and misleading. There is no credible evidence to suggest that Mojtaba Khamenei has died. On the contrary, recent verified reports confirm that he is alive and has even issued public statements on ongoing geopolitical developments. The widespread circulation of this claim appears to be driven by misinformation, amplified through social media without verification. The use of AI-generated visuals further adds to the confusion, making the content appear authentic at first glance.
