#FactCheck - AI-Generated Video Falsely Shared as ‘Multi-Hooded Snake’ Sighting in Vrindavan
A video is being widely shared on social media showing devotees seated in a boat appearing stunned as a massive, multi-hooded snake—resembling the mythical Sheshnag—suddenly emerges from the middle of a water body.
The video captures visible panic and astonishment among the devotees. Social media users are sharing the clip claiming that it is from Vrindavan, with some portraying the sight as a divine or supernatural event. However, research conducted by the Cyber Peace Foundation found the viral claim to be false. Our research revealed that the video is not authentic and has been generated using artificial intelligence (AI).
Claim
On January 17, 2026, a user shared the viral video on Instagram with the caption suggesting that God had appeared again in the age of Kalyug. The post claims that a terrifying video from Vrindavan has surfaced in which devotees sitting in a boat were shocked to see a massive multi-hooded snake emerge from the water. The caption further states that devotees are hailing the creature as an incarnation of Sheshnag or Vasuki Nag, raising religious slogans and questioning whether the sight represents a divine sign. (The link to the post, its archive link, and screenshots are available.)
- https://www.instagram.com/reel/DTngN9FkoX0/?igsh=MTZvdTN1enI2NnFydA%3D%3D
- https://archive.ph/UuAqB
Fact Check:
Upon closely examining the viral video, we suspected that it might be AI-generated. To verify this, the video was scanned using the AI detection tool SIGHTENGINE, which indicated that the visual is 99 per cent AI-generated.
In the next step of the research , the video was analysed using another AI detection tool, HIVE Moderation. According to the results obtained, the video was found to be 62 per cent AI-generated.
Conclusion
Our research clearly establishes that the viral video claiming to show a multi-hooded snake in Vrindavan is not real. The clip has been created using artificial intelligence and is being falsely shared on social media with religious and sensational claims.
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Introduction
On June 2, 2026, U.S. President Donald Trump signed an executive order called "Promoting Artificial Intelligence Innovation and Security." The order tells federal agencies to improve cyber defences against AI-based threats and creates a system where AI companies can choose to let the government access powerful new models before they are released to the public. This happens as the U.S. and China are in a heated competition to lead the next generation of AI. While the order only affects the United States, its impact could reach the global AI industry, including India.
What Does the Executive Order Do?
The White House order focuses on three areas: First, it aims to upgrade government cyber security. Federal agencies must strengthen their information systems with AI-enabled defences within 30 days. Cyber Security and Infrastructure Agency (CISA) will issue new guidelines for civilian agencies, and an AI Cyber security Clearinghouse will be established for the government and private companies to share and resolve software vulnerabilities.
Second, the order introduces a voluntary pre-release review process for advanced AI models. Before a new model is publicly available, AI companies can give the government up to 30 days to evaluate it for cyber security risks. An earlier draft proposed a 90-day review period, but this was cut back due to feedback from the technology industry. The government will also create classified benchmarks to figure out which models qualify as a “covered frontier model” and are therefore subject to this review process.
Finally, the order emphasises criminal enforcement. It prioritises legal action against those who use AI tools to commit cybercrimes.
According to the White House, the aim is to promote AI innovation and security by collaborating with the private sector to modernise government and private information systems and protect them from external threats.
Why Does This Matter Globally?
- AI Is Now a National Security Issue Until recently, most governments viewed AI as an economic or scientific issue. This order officially changes that for the United States, placing advanced AI alongside other sensitive technologies that need government oversight before deployment. When the world's largest military makes this change, other governments pay attention. Countries allied with or partnering with the U.S. will likely revisit their own AI governance frameworks in the months ahead.
- Two Competing Models for the World The U.S. and EU represent two different approaches to AI governance. The EU AI Act lays down strict rules, is focused on ethics, and requires heavy compliance. The US approach is lighter on ethics, promoting voluntary cooperation, prioritising security, and encouraging innovation. Countries developing their own AI policies will either continue to align with one of these models or take ideas from both. The Atlantic Council has pointed out that if the U.S. model is successful, it could influence international security standards for AI development, even without formal global agreements.
- The China Factor Trump initially delayed signing the order, worried it would slow down American companies and give China an edge. The final version avoids mandatory licensing requirements but clearly indicates that the U.S. aims to lead, not only in building AI but also in securing it. China is likely to respond by speeding up its own evaluation systems, creating another global framework.
What Could This Mean for India?
India has taken a careful, non-mandatory approach to AI governance. MeitY's India AI Governance Guidelines, issued in November 2025, are based on principles and are not binding. India's AI Safety Institute has been announced but is not fully operational. Efforts to create binding regulation have been seen in actions like the Private Member's Bill, the AI Ethics and Accountability Bill, 2025, introduced in the Lok Sabha. This bill suggests mandatory reviews for high-risk AI systems but has not been passed yet. It's important to note that groups like the AI Governance Expert Group (AIGEG) and the Technology and Policy Expert Committee (TPEC) serve only in an advisory role; they do not have legislative power. As a result, nothing binding has been implemented so far. The Trump order puts additional pressure on India to pass measurable, binding AI-security-related measures. As AI use increases in banking, healthcare, telecommunications, and government services and frontier AI models continue to evolve without global oversight, stronger security evaluation methods are becoming necessary, especially in critical sectors.
Recent events prove this need. In June 2026, a Distributed Denial-of-Service (DDoS) attack hit the CBSE's On-Screen Marking portal. It saw 1.5 million requests in two minutes and over one lakh unauthorised file access attempts targeting a system used by millions of students. Similar attacks have impacted AIIMS Delhi and other public digital infrastructure. As AI tools make these attacks easier to carry out, security testing before deployment can no longer be seen as optional.
For Indian AI companies aiming at global markets, the U.S. framework is also important for business. Standards that are set voluntarily in Washington often become necessary for international partnerships and contracts.
Conclusion
Trump's AI cyber security order signals a shift. A government that resisted regulating AI has now recognised that powerful models need oversight before they reach the public. Its immediate impact affects U.S. agencies and developers. However, the broader message is that advanced AI is a national security concern. This will influence policy conversations around the world. For India, the priority is to develop its own security evaluation capacity now, rather than waiting to adopt frameworks created for other contexts.
References
- White House Executive Order, "Promoting Advanced Artificial Intelligence Innovation and Security," June 2, 2026
- Federal Register — Executive Order Publication, June 5, 2026
- Council on Foreign Relations — Assessing Trump's Executive Order on AI Oversight, June 4, 2026
- Atlantic Council — Reading Between the Lines of Trump's New Executive Order on AI, June 3, 2026
- Times of India — Donald Trump Passes AI Cyber security Order
- MeitY India AI Governance Guidelines, November 2025
- AI Ethics and Accountability Bill, 2025 — Explained
- NPR — Trump Signs EO Seeking Early Government Access to Powerful AI Models
Introduction:
Digital Forensics, as the term goes, “It is the process of collecting, preserving, identifying, analyzing, and presenting digital evidence in a way that the evidence is legally admitted.”
It is like a detective work in the digital realm, where investigators use various specific methods to find deleted files and to reveal destroyed messages.
The reason why Digital Forensics is an important field is because with the advancement of technology and the use of digital devices, the role of Digital Forensics in preserving the evidence and protecting our data from cybercrime is becoming more and more crucial.
Digital Forensics is used in various situations such as:
- Criminal Investigations: Digital Forensics enables investigators to trace back cyber threat actors and further identify victims of the crime to gather evidence needed to punish criminals.
- Legal issues: Digital Forensics might aid in legal matters involving intellectual property infringement and data breaches etc.
Types of Digital Data in Digital Forensics:
1.Persistent (Non-volatile) Data :-
- This type of Data Remains Intact When The Computer Is Turned Off.
- ex. Hard-disk, Flash-drives
2. Volatile Data :-
- These types of Data Would Be Lost When The Computer Is Turned Off.
- ex. Temp. Files, Unsaved OpenFiles, etc.
The Digital Forensics Process
The process is as follows
- Evidence Acquisition: This process involves making an exact copy (forensic image) of the storage devices such as hard drives, SSD or mobile devices. The goal is to preserve the original data without changing it.
- Data Recovery: After acquiring the forensic image, the analysts use tools to recover deleted, hidden or the encrypted data inside the device .
- Timeline Analysis: Analysts use timestamp information from files, and system logs to reconstruct the timeline of activities on a device. This helps in understanding how an incident spanned out and who was involved in it.
- Malware Analysis: In cases involving security breaches, analysts analyze malware samples to understand their behavior, impact, and origins. various reverse engineering techniques are used to analyze the malicious code.
Types of tools:
- Faraday Bags: Faraday bags are generally the first step in digital evidence capture. These bags are generally made of conductive materials, which are used to shield our electronic devices from external waves such as WiFi, Bluetooth, and mobile cellular signals, which in turn protects the digital evidence from external tampering.
- Data recovery : These types of software are generally used for the recovery of deleted files and their associated data. Ex. Magnet Forensics, Access data, X-Ways
- Disk imaging and analysis :These types of softwares are Generally used to replicate the data storage devices and then perform further analysis on it ex. FTKImager, Autopsy, and, Sleuth Kit
- File carving tools: They are generally used to extract information from the embedded files in the image made. Ex.Foremost, Binwalk, Scalpel
Some common tools:
- EnCase: It is a tool for acquiring, analyzing, and reporting digital evidence.
- Autopsy: It is an open-source platform generally used for analyzing hard drives and smartphones.
- Volatility: It is a framework used generally for memory forensics to analyze volatile memory dumps and extract info.
- Sleuth Kit: It is a package of CLI tools for investigating disk images and its associated file systems.
- Cellebrite UFED: It is a tool generally used for mobile forensics.
Challenges in the Field:
- Encryption: Encryption plays a major challenge as the encrypted data requires specialized techniques and tools for decryption.
- Anti-Forensic Techniques: Anti-Forensics techniques play a major challenge as the criminals often use anti-forensic methods to cover their tracks, making it challenging to get the digital evidence.
- Data Volume and Complexity: The large volume of digital data and the diversity of various devices create challenges in evidence collection and analysis.
The Future of Digital Forensics: A Perspective
With the growth of technology and the vast presence of digital data, the challenges and opportunities in Digital Forensics keep on updating themselves. Due to the onset of new technology and the ever growing necessity of cloud storage, mobile devices, and the IoT (Internet of Things), investigators will have to develop new strategies and should be ready to adapt and learn from the new shaping of the tech world.
Conclusion:
Digital Forensics is an essential field in the recent era for ensuring fairness in the digital era. By collecting, inspecting, and analyzing the digital data, the Digital Forensics investigators can arrive lawfully at the prosecution of criminals and the settlement of civil disputes. Nowadays with technology on one hand progressing continuously, the discipline of Digital Forensics will certainly become even more pivotal in the case of investigations in the years to come.
Executive Summary
Amid the ongoing conflict involving the US-Israel and Iran in West Asia, a video showing destroyed aircraft at an airport is going viral on social media. The clip is being shared with the claim that it shows an Israeli military base destroyed in an Iranian attack. However, an research by the CyberPeacen found that the viral video is not real but AI-generated.
Claim:
An Instagram user “sakirali8064” shared the video on March 22, 2026, claiming that Iran had demonstrated its military strength by deploying advanced missiles capable of long-range precision strikes.The video also carries a “Breaking News” overlay stating:“Iran attack Israel military base… the entire base destroyed.
Post link and archive link:
Fact Check:
To verify the claim, we extracted keyframes from the viral clip and conducted a reverse image search using Google Lens. We found a longer version of the same video posted on March 5, 2026, by a Facebook user named “With INC,” where it was also falsely linked to an Iranian attack on Israel’s Ben Gurion Airport.
Upon closely examining the video, we observed inconsistencies such as fire changing positions unnaturally, which raised suspicion of AI manipulation. We then analyzed the video using Hive Moderation, which indicated a probability of over 99% that the content is AI-generated.
Additionally, analysis using Tencent’s “Zhuque AI” detection tool suggested more than 78% likelihood of the video being AI-generated.
Conclusion:
The viral video claiming that an Iranian attack destroyed an Israeli military base is AI-generated and misleading. While Iran has claimed to have targeted Israel’s Ben Gurion International Airport using drones, the viral footage does not depict a real event.
