#FactCheck -AI-Generated Video Falsely Shared as Leopard Dragging Passenger From Moving Train
Executive Summary
A video is being widely shared on social media claiming that a leopard dragged away a passenger from a moving train. Several users are circulating the clip as a real incident. However, CyberPeace Research Wing research found the claim to be false. Our research revealed that the viral video is not real and was generated using Artificial Intelligence (AI).
Claim
An X user (formerly Twitter) shared the viral clip with the caption:“A leopard snatched a man from a moving train.”The link, archived version, and screenshot of the post are provided below.
Fact Check
On closely examining the video, several visual inconsistencies were noticed. The leopard’s body appears distorted at multiple points in the clip. In some frames, parts of the animal’s body seem to merge into the background, while in others, sections appear incomplete or disappear entirely — something not typically seen in authentic footage. In the final part of the video, where the leopard is allegedly shown attacking a passenger, the person’s hands, limbs, and body also appear blurred and distorted. Additionally, unusual and selective blurring can be observed throughout the video, indicating possible editing or AI manipulation.
To further verify the clip, we scanned the viral video using the AI detection tool Sightengine. According to the results, the video showed an 86 percent probability of being AI-generated.
As part of the research , we also analysed the clip using another AI detection platform, UndetectableTM AI, which likewise indicated that the viral video was AI-generated.
Conclusion
Our research found that the viral video claiming to show a leopard dragging away a passenger from a moving train is fake. The clip is AI-generated and does not depict a real incident.
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Introduction
The advent of AI-driven deepfake technology has facilitated the creation of explicit counterfeit videos for sextortion purposes. There has been an alarming increase in the use of Artificial Intelligence to create fake explicit images or videos for sextortion.
What is AI Sextortion and Deepfake Technology
AI sextortion refers to the use of artificial intelligence (AI) technology, particularly deepfake algorithms, to create counterfeit explicit videos or images for the purpose of harassing, extorting, or blackmailing individuals. Deepfake technology utilises AI algorithms to manipulate or replace faces and bodies in videos, making them appear realistic and often indistinguishable from genuine footage. This enables malicious actors to create explicit content that falsely portrays individuals engaging in sexual activities, even if they never participated in such actions.
Background on the Alarming Increase in AI Sextortion Cases
Recently there has been a significant increase in AI sextortion cases. Advancements in AI and deepfake technology have made it easier for perpetrators to create highly convincing fake explicit videos or images. The algorithms behind these technologies have become more sophisticated, allowing for more seamless and realistic manipulations. And the accessibility of AI tools and resources has increased, with open-source software and cloud-based services readily available to anyone. This accessibility has lowered the barrier to entry, enabling individuals with malicious intent to exploit these technologies for sextortion purposes.
The proliferation of sharing content on social media
The proliferation of social media platforms and the widespread sharing of personal content online have provided perpetrators with a vast pool of potential victims’ images and videos. By utilising these readily available resources, perpetrators can create deepfake explicit content that closely resembles the victims, increasing the likelihood of success in their extortion schemes.
Furthermore, the anonymity and wide reach of the internet and social media platforms allow perpetrators to distribute manipulated content quickly and easily. They can target individuals specifically or upload the content to public forums and pornographic websites, amplifying the impact and humiliation experienced by victims.
What are law agencies doing?
The alarming increase in AI sextortion cases has prompted concern among law enforcement agencies, advocacy groups, and technology companies. This is high time to make strong Efforts to raise awareness about the risks of AI sextortion, develop detection and prevention tools, and strengthen legal frameworks to address these emerging threats to individuals’ privacy, safety, and well-being.
There is a need for Technological Solutions, which develops and deploys advanced AI-based detection tools to identify and flag AI-generated deepfake content on platforms and services. And collaboration with technology companies to integrate such solutions.
Collaboration with Social Media Platforms is also needed. Social media platforms and technology companies can reframe and enforce community guidelines and policies against disseminating AI-generated explicit content. And can ensure foster cooperation in developing robust content moderation systems and reporting mechanisms.
There is a need to strengthen the legal frameworks to address AI sextortion, including laws that specifically criminalise the creation, distribution, and possession of AI-generated explicit content. Ensure adequate penalties for offenders and provisions for cross-border cooperation.
Proactive measures to combat AI-driven sextortion
Prevention and Awareness: Proactive measures raise awareness about AI sextortion, helping individuals recognise risks and take precautions.
Early Detection and Reporting: Proactive measures employ advanced detection tools to identify AI-generated deepfake content early, enabling prompt intervention and support for victims.
Legal Frameworks and Regulations: Proactive measures strengthen legal frameworks to criminalise AI sextortion, facilitate cross-border cooperation, and impose offender penalties.
Technological Solutions: Proactive measures focus on developing tools and algorithms to detect and remove AI-generated explicit content, making it harder for perpetrators to carry out their schemes.
International Cooperation: Proactive measures foster collaboration among law enforcement agencies, governments, and technology companies to combat AI sextortion globally.
Support for Victims: Proactive measures provide comprehensive support services, including counselling and legal assistance, to help victims recover from emotional and psychological trauma.
Implementing these proactive measures will help create a safer digital environment for all.
Misuse of Technology
Misusing technology, particularly AI-driven deepfake technology, in the context of sextortion raises serious concerns.
Exploitation of Personal Data: Perpetrators exploit personal data and images available online, such as social media posts or captured video chats, to create AI- manipulation violates privacy rights and exploits the vulnerability of individuals who trust that their personal information will be used responsibly.
Facilitation of Extortion: AI sextortion often involves perpetrators demanding monetary payments, sexually themed images or videos, or other favours under the threat of releasing manipulated content to the public or to the victims’ friends and family. The realistic nature of deepfake technology increases the effectiveness of these extortion attempts, placing victims under significant emotional and financial pressure.
Amplification of Harm: Perpetrators use deepfake technology to create explicit videos or images that appear realistic, thereby increasing the potential for humiliation, harassment, and psychological trauma suffered by victims. The wide distribution of such content on social media platforms and pornographic websites can perpetuate victimisation and cause lasting damage to their reputation and well-being.
Targeting teenagers– Targeting teenagers and extortion demands in AI sextortion cases is a particularly alarming aspect of this issue. Teenagers are particularly vulnerable to AI sextortion due to their increased use of social media platforms for sharing personal information and images. Perpetrators exploit to manipulate and coerce them.
Erosion of Trust: Misusing AI-driven deepfake technology erodes trust in digital media and online interactions. As deepfake content becomes more convincing, it becomes increasingly challenging to distinguish between real and manipulated videos or images.
Proliferation of Pornographic Content: The misuse of AI technology in sextortion contributes to the proliferation of non-consensual pornography (also known as “revenge porn”) and the availability of explicit content featuring unsuspecting individuals. This perpetuates a culture of objectification, exploitation, and non-consensual sharing of intimate material.
Conclusion
Addressing the concern of AI sextortion requires a multi-faceted approach, including technological advancements in detection and prevention, legal frameworks to hold offenders accountable, awareness about the risks, and collaboration between technology companies, law enforcement agencies, and advocacy groups to combat this emerging threat and protect the well-being of individuals online.
Introduction
In the digital landscape, there is a rapid advancement of technologies such as generative AI(Artificial Intelligence), deepfake, machine learning, etc. Such technologies offer convenience to users in performing several tasks and are capable of assisting individuals and business entities. Certain regulatory mechanisms are also established for the ethical and reasonable use of such advanced technologies. However, these technologies are easily accessible; hence, cyber-criminals leverage AI tools and technologies for malicious activities or for committing various cyber frauds. By such misuse of advanced technologies, new cyber threats have emerged.
Deepfake Scams
Deepfake is an AI-based technology. Deepfake is capable of creating realistic images or videos which in actuality are created by machine algorithms. Deepfake technology, since easily accessible, is misused by fraudsters to commit various cyber crimes or deceive and scam people through fake images or videos that look realistic. By using the Deepfake technology, cybercriminals manipulate audio and video content, which looks very realistic but, in actuality, is fake.
Voice cloning
To create a voice clone of anyone's, audio can be deepfaked too, which closely resembles a real one but, in actuality, is a fake voice created through deepfake technology. Recently, in Kerala, a man fell victim to an AI-based video call on WhatsApp. He received a video call from a person claiming to be his former colleague. The scammer, using AI deepfake technology, impersonated the face of his former colleague and asked for financial help of 40,000.
Uttarakhand Police issues warning admitting the rising trend of AI-based scams
Recently, Uttarakhand police’s Special Task Force (STF) has issued a warning admitting the widespread of AI technology-based scams such as deepfake or voice cloning scams targeting innocent people. Police expressed concern that several incidents have been reported where innocent people are lured by cybercriminals. Cybercriminals exploit advanced technologies and manipulate innocent people to believe that they are talking to their close ones or friends, but in actuality, they are fake voice clones or deepfake video calls. In this way, cybercriminals ask for immediate financial help, which ultimately leads to financial losses for victims of such scams.
Tamil Nadu Police Issues advisory on deepfake scams
To deceive people, cyber criminals misuse deepfake technologies and target them for financial gain. Recently, Tamilnadu Police Cyberwing have issued an advisory on rising deepfake scams. Fraudsters are creating highly convincing images, videos or voice clones to defraud innocent people and make them victims of financial fraud. The advisory states that you limit the personal data you share you share online and adjust privacy settings. Advisory says to promptly report any suspicious activity or cyber crimes to 1930 or the National Cyber Crime Reporting portal.
Best practices
- Pay attention if you notice compromised video quality because deepfake videos often have compromised or poor video quality and unusual blur resolution, which poses a question to its genuineness. Deepfake videos often loop or unusually freeze, which indicates that the video content might be fabricated.
- Whenever you receive requests for any immediate financial help, act responsively and verify the situation by directly contacting the person on his primary contact number.
- You need to be vigilant and cautious, since scammers often possess a sense of urgency, leading to giving no time for the victim to think about it and deceiving them by making a quick decision. Scammers pose sudden emergencies and demand financial support on an urgent basis.
- Be aware of the recent scams and follow the best practices to stay protected from rising cyber frauds.
- Verify the identity of unknown callers.
- Utilise privacy settings on your social media.
- Pay attention if you notice any suspicious nature, and avoid sharing voice notes with unknown users because scammers might use them as voice samples and create your voice clone.
- If you fall victim to such frauds, one powerful resource available is the National Cyber Crime Reporting Portal (www.cybercrime.gov.in) and the 1930 toll-free helpline number where you can report cyber fraud, including any financial crimes.
Conclusion
AI-powered technologies are leveraged by cybercriminals to commit cyber crimes such as deepfake scams, voice clone scams, etc. Where innocent people are lured by scammers. Hence there is a need for awareness and caution among the people. We should be vigilant and aware of the growing incidents of AI-based cyber scams. Must follow the best practices to stay protected.
References:
- https://www.the420.in/ai-voice-cloning-cyber-crime-alert-uttarakhand-police/
- https://www.trendmicro.com/vinfo/us/security/news/cybercrime-and-digital-threats/exploiting-ai-how-cybercriminals-misuse-abuse-ai-and-ml#:~:text=AI%20and%20ML%20Misuses%20and%20Abuses%20in%20the%20Future&text=Through%20the%20use%20of%20AI,and%20business%20processes%20are%20compromised.
- https://www.ndtv.com/india-news/kerala-man-loses-rs-40-000-to-ai-based-deepfake-scam-heres-what-it-is-4217841
- https://news.bharattimes.co.in/t-n-cybercrime-police-issue-advisory-on-deepfake-scams/
Executive Summary:
A video of India’s Defence Minister Rajnath Singh is going viral on social media. The post claims that Rajnath Singh is openly supporting Israeli-American attacks against Iran. In the video, he can allegedly be heard saying that Prime Minister Narendra Modi had visited Israel before the war began and warned Tehran that disturbing peace would have serious consequences.
Research by CyberPeace found that the viral video is a deepfake created using Artificial Intelligence (AI). Rajnath Singh has not made any such statement about Iran or the Israel-US conflict.
Claim
A Facebook user “Sheikh Sadeque Ali” shared the video on March 2, 2026. The caption of the post reads, “Indian Defence Minister Rajnath Singh is supporting Israel’s attack on Iran. This clearly shows that India supports the killing of Muslims.”
In the viral video, Rajnath Singh appears to say in English: “Prime Minister Modi’s visit to Israel before the attack on Iran reflects India’s solidarity with its strategic partner… He warned Tehran that hostile actions would have serious consequences for regional peace.”
Fact Check:
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. During the research , we found the original video on Rajnath Singh’s official YouTube channel. The video was uploaded on November 23, 2025.In the original video, Rajnath Singh was addressing a Sindhi community conference in Delhi. During his speech, he was talking about Sindhi culture and the history of Partition. He did not mention Israel, Iran or any Middle East conflict during the entire program.
Upon closely examining the viral video, technical inconsistencies between the lip movements and the audio (lip-sync discrepancies) can be observed, which strongly indicate that the video may have been generated using AI. To verify this, we analysed the clip using several AI-detection tools. The AI detection tool Hive Moderation indicated that the video has a 99% probability of being AI-generated.
Conclusion:
Our research found that the viral video of Rajnath Singh is a deepfake. He has not made any statement supporting Israel or opposing Iran. The original video is from a Sindhi community event in Delhi, which has been digitally altered using AI to spread a misleading claim.
