#Fact Check: Viral Video Falsely Claims Israel Launched Nuclear Attack on Iran
Executive Summary:
A viral video circulating on social media inaccurately suggests that it shows Israel moving nuclear weapons in preparation for an assault on Iran, but a detailed research has established that it instead shows a SpaceX Starship rocket (Starship 36) being towed for a pre-planned test in Texas, USA, and the footage does not provide any evidence to back-up the claim of an Israeli action or a nuclear missile.
Claim:
Multiple posts on social media sharing a video clip of what appeared to be a large, missile-like object being towed to an unknown location by a very large vehicle and stated it is Israel preparing for a nuclear attack on Iran.
The caption of the video said: "Israel is going to launch a nuclear attack on Iran! #Israel”. The viral post received lots of engagement, helpingClaim: to spread misinformation and unfounded fear about the rising conflicts in the Middle East.
Fact check:
By doing reverse image search using the key frames of the viral footage, this landed us at a Facebook post dated June 16, 2025.
A YouTube livestream from NASASpaceflight is dated 15th June 2025. Both sources make it clear that the object was clearly identified as SpaceX Starship 36. This rocket was being towed at SpaceX's Texas facility in advance of a static fire test and as part of the overall preparation for the 10th test flight. In the video, there is clearly no military ordinance or personnel, or Israel’s nuclear attack on Iran markings.
More support for our conclusions came from several articles from SPACE.com, which briefly reported on the Starship's explosion shortly thereafter during various testing iterations.
Also, there was no mention of any Israeli nuclear mobilization by any reputable media or defence agencies. The resemblance between a large rocket and a missile likely added some confusion. Below is a video describing the difference, but the context and upload location have no relation to the State of Israel or Iran.
Conclusion:
The viral video alleging that the actual video showed Israel getting ready to launch a nuclear attack on Iran is false and misleading. In fact, the video was from Texas, showing the civilian transport of SpaceX’s Starship 36. This highlighted how easily unrelated videos can be used to create panic and spread misinformation. If you plan on sharing claims like this, verify them instead using trusted websites and tools.
- Claim: Misleading video on Israel is ready to go nuclear on Iran
- Claimed On: Social Media
- Fact Check: False and Misleading
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Introduction
In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.
Incident Response and Crisis Management
Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.
How Automation Reinvents Response
Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.
Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.
The Intelligence Layer: AI in Action
If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.
AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement.
Real-World Applications and Case Studies
Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.
Challenges and Limitations
While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.
Creating a Human-AI Collaboration
The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.
Conclusion
Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.
References
- https://www.sisainfosec.com/blogs/incident-response-automation/
- https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
- https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
- https://www.motadata.com/blog/role-of-automation-in-incident-management/
Executive Summary
A shocking video claiming to show snakes raining down from the sky is going viral on social media. The clip shows what appear to be cobras and pythons falling in large numbers instead of rain, while people are seen running in panic through a marketplace. The video is being shared with the claim that it is the result of “tampering with nature” and that sudden snake rainfall occurred in an unidentified country. (Links and archived versions provided)
CyberPeace researched the viral claim and found it to be false. The video does not depict a real incident. Instead, it has been generated using artificial intelligence (AI).
Fact Check
To verify the authenticity of the video, we extracted keyframes and conducted a reverse image search using Google Lens. However, we did not find any credible media report linked to the viral footage. We also searched relevant keywords on Google but found no reliable national or international news coverage supporting the claim. If snakes had genuinely rained from the sky in any country, the incident would have received widespread media attention globally. A frame-by-frame analysis of the video revealed multiple inconsistencies and visual anomalies:
In the first two seconds, a massive snake appears to fall onto electric wires, yet its body passes unrealistically through the wires — something that is physically impossible. The snakes falling from the sky and crawling on the ground move in an unnatural manner. Instead of falling under gravity, they appear to float mid-air. Around the 9–10 second mark, a person lying on the ground has a visibly distorted hand structure, a common artifact seen in AI-generated videos.
Such irregularities are typical indicators of AI-generated content. The viral video was further analyzed using the AI detection tool Hive Moderation, which indicated a 96.5% probability that the video was AI-generated.
Additionally, image detection tool WasitAI also classified the visuals in the viral clip as highly likely to be AI-generated.
Conclusion
CyberPeace ’s research confirms that the viral video claiming to show snakes raining from the sky is not authentic. The footage has been created using artificial intelligence and does not depict a real event.
Introduction
The United Nations General Assembly (UNGA) has unanimously adopted the first global resolution on Artificial Intelligence (AI), encouraging countries to take into consideration human rights, keeping personal data safe, and further monitoring the threats associated with AI. This non-binding resolution proposed by the United States and co-sponsored by China and over 120 other nations advocates the strengthening of privacy policies. This step is crucial for governments across the world to shape how AI grows because of the dangers it carries that could undermine the protection, promotion, and right to human dignity and fundamental freedoms. The resolution emphasizes the importance of respecting human rights and fundamental freedoms throughout the life cycle of AI systems, highlighting the benefits of digital transformation and safe AI systems.
Key highlights
● This is indeed a landmark move by the UNGA, which adopted the first global resolution on AI. This resolution encourages member countries to safeguard human rights, protect personal data, and monitor AI for risks.
● Global leaders have shown their consensus for safe, secure, trustworthy AI systems that advance sustainable development and respect fundamental freedom.
● Resolution is the latest in a series of initiatives by governments around the world to shape AI. Therefore, AI will have to be created and deployed through the lens of humanity and dignity, Safety and Security, human rights and fundamental freedoms throughout the life cycle of AI systems.
● UN resolution encourages global cooperation, warns against improper AI use, and emphasizes the issues of human rights.
● The resolution aims to protect from potential harm and ensure that everyone can enjoy its benefits. The United States has worked with over 120 countries at the United Nations, including Russia, China, and Cuba, to negotiate the text of the resolution adopted.
Brief Analysis
AI has become increasingly prevalent in recent years, with chatbots such as the Chat GPT taking the world by storm. AI has been steadily attempting to replicate human-like thinking and solve problems. Furthermore, machine learning, a key aspect of AI, involves learning from experience and identifying patterns to solve problems autonomously. The contemporary emergence of AI has, however, raised questions about its ethical implications, potential negative impact on society, and whether it is too late to control it.
While AI is capable of solving problems quickly and performing various tasks with ease, it also has its own set of problems. As AI continues to grow, global leaders have called for regulations to prevent significant harm due to the unregulated AI landscape to the world and encourage the use of trustworthy AI. The European Union (EU) has come up with an AI act called the “European AI Act”. Recently, a Senate bill called “The AI Consent Bill” was introduced in the US. Similarly, India is also proactively working towards setting the stage for a more regulated Al landscape by fostering dialogues and taking significant measures. Recently, the Ministry of Electronics and Information Technology (MeitY) issued an advisory on AI, which requires explicit permission to deploy under-testing or unreliable AI models related to India's Internet. The following advisory also indicates measures advocating to combat deepfakes or misinformation.
AI has thus become a powerful tool that has raised concerns about its ethical implications and the potential negative influence on society. Governments worldwide are taking action to regulate AI and ensure that it remains safe and effective. Now, the groundbreaking move of the UNGA, which adopted the global resolution on AI, with the support of all 193 U.N. member nations, shows the true potential of efforts by countries to regulate AI and promote safe and responsible use globally.
New AI tools have emerged in the public sphere, which may threaten humanity in an unexpected direction. AI is able to learn by itself through machine learning to improve itself, and developers often are surprised by the emergent abilities and qualities of these tools. The ability to manipulate and generate language, whether with words, images, or sounds, is the most important aspect of the current phase of the ongoing AI Revolution. In the future, AI can have several implications. Hence, it is high time to regulate AI and promote the safe, secure and responsible use of it.
Conclusion
The UNGA has approved its global resolution on AI, marking significant progress towards creating global standards for the responsible development and employment of AI. The resolution underscores the critical need to protect human rights, safeguard personal data, and closely monitor AI technologies for potential hazards. It calls for more robust privacy regulations and recognises the dangers associated with improper AI systems. This profound resolution reflects a unified stance among UN member countries on overseeing AI to prevent possible negative effects and promote safe, secure and trustworthy AI.
References
