#FactCheck: Viral AI image shown as AI -171 caught fire after collision

Executive Summary:

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A video circulating on Social media has claimed that Iran has launched a missile strike destroying Ben Gurion Airport in Tel Aviv. With rising tensions in geopolitics, the video quickly became popular. However, our research has detailed inspections through digital verification tools and visual analysis showed that the video is AI-generated. No incident or damage ever occurred. 

Claim:

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A viral video circulating on social media platforms claims to show Tel Aviv’s Ben Gurion Airport destroyed following an Iranian missile strike. The video is being shared with captions suggesting it is the last recorded visuals from the attack, with some users asserting it as evidence of escalating conflict between Iran and Israel.

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Fact Check:

After looking into the video that purported to show the destruction of Tel Aviv's Ben Gurion Airport in an Iranian missile strike, we researched the topic whether the claim is accurate or not. The video depicts a damaged airport terminal, with debris and fires, but a visual analysis determined that there were a number of suspicious characteristics: asymmetrical layout, artificial-looking smoke patterns, and the absence of activity or humans—those are all typical indications of AI generation. Our research traced the origins of the video to an Instagram post, with a date of May 27, 2025, made by what seems to be a user who frequently shares AI-generated images. 

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In order to verify our conclusions, we used Hive Moderation, an AI content detection tool, which produced a result of an 80% probability that the video is altered, and this level of probability strongly supports the idea that the footage is not real. Additionally, reports from popular organizations like India Today and Reuters supported these results. All findings resulting from our research established that the video is synthetic and unrelated to any event occurring at Ben Gurion Airport, and therefore debunked a false narrative propagated on social media. 

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To confirm, we also compared the visuals with a real aerial image of Tel Aviv’s Ben Gurion Airport available on aviation stock sites.

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Fig: Google Maps image of Tel Aviv’s Ben Gurion Airport

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The visuals from the viral video are not real locations or scenes of Aviv’s Ben Gurion Airport's true location and configuration therefore it is fake and misleading.

Conclusion:

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After thorough research it is concluded that the viral video is fake and it is not an actual missile strike at Ben Gurion Airport. The video is made with AI, and posted by a content creator of synthetic content well before any conflict update. There is no official confirmation or credible news coverage to substantiate the claim, with a high probability of AI-detection, and it has been proven to be digitally manipulated. Therefore, the claim is untrue and misleading.

• Claim: A video shows Iran's missile strike destroying Tel Aviv’s Ben Gurion Airport.
• Claimed On: Social Media
• Fact Check: False and Misleading

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Introduction:

Welcome to the second edition of our blog on Digital forensics series. In our previous blog we discussed what digital forensics is,  the process followed by the tools, and the subsequent challenges faced in the field. Further, we looked at how the future of Digital Forensics will hold in the current scenario.  Today, we will explore differences between 3 particular similar sounding terms that vary significantly in functionality when implemented: Copying, Cloning and Imaging.

In Digital Forensics, the preservation and analysis of electronic evidence are important for investigations and legal proceedings. Replication of the data and devices is one of the fundamental tasks in this domain, without compromising the integrity of the original evidence. 

Three primary techniques -- copying, cloning, and imaging -- are used for this purpose. Each technique has its own strengths and is applied according to the needs of the investigation.

In this blog, we will examine the differences between copying, cloning and imaging. We will talk about the importance of each technique, their applications and why imaging  is considered the best for forensic investigations.

Copying

Copying means duplicating data or files from one location to another. When one does copying, it implies that one is using standard copy commands. However, when dealing with evidence, it might be hard to use copy only. It is because the standard copy can alter the metadata and change the hidden or deleted data .

 The characteristics of copying include: 

• Speed: copying is simpler and faster,compared to cloning or imaging.
•  Risk: The risk involved in copying is that the metadata might be altered and all the data might be captured.

Cloning

It is the process where the transfer of the entire contents of a hard drive or a storage device is done  on another storage device. This process is known as cloning . This way, the cloning process captures both the active data and the unallocated space and hidden partitions, thus containing the whole structure of the original device. Cloning is generally used at the sector level of the device. Clones can be used as the working copy of a device .

Characteristics of cloning: 

•  bit-for-bit replication: cloning keeps the exact content and the whole structure of the original device. 
• Use cases: cloning is used when it is needed to keep the original device intact for further examination or a legal affair. 
•  Time consuming: Cloning is usually longer in comparison to simple copying since it involves the whole detailed replication. Though it depends on various factors like the size of the storage device, the speed of the devices involved, and the method of cloning.

Imaging:

It is the process of creating a forensic image of a storage device. A forensic image is a replica copy of every bit of data that was on the source device, this including the allocated, unallocated, and the available slack space .

 The image is then used for analysis and investigation, and the original evidence is left untouched. Images can’t be used as the working copies of a device.  Unlike cloning, which produces working copies, forensic images are typically used for analysis and investigation purposes and are not intended for regular use as working copies.

Characteristics of Imaging:

•  Integrity: Imaging ensures the integrity and authenticity of the evidence produced
•  Flexibility: Forensic image replicas can be mounted as a virtual drive to create image-specific mode for analysis of data without affecting the original evidence . 
• Metadata: Imaging captures metadata associated with the data, thus promoting forensic analysis.

Key Differences

• Purpose: Copying is for everyday use but not good for forensic investigations requiring data integrity. Cloning and imaging are made for forensic preservation.
• Depth of Replication: Cloning and imaging captures the entire storage device including hidden, unallocated, and deleted data  whereas copying may miss crucial forensic data.
• Data Integrity: Imaging and cloning keep the integrity of the original evidence thus making them suitable for legal and forensic use. Which is a critical aspect of forensic investigations.
• Forensic Soundness: Imaging is considered the best in digital forensics due to its comprehensive and non-invasive nature.
• Cloning is generally from one hard disk to another, where as imaging creates a compressed file that contains a snapshot of the entire hard drive or a specific partitions

Conclusion

Therefore, copying, cloning, and imaging all deal with duplication of data or storage devices with significant variations, especially in digital forensic. However, for forensic investigations, imaging is the most selected approach due to the correct preservation of the evidence state for any analysis or legal use . Therefore, it is essential for forensic investigators to understand these rigorous differences to avail of real and uncontaminated digital evidence for their investigation and legal argument.

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Introduction

The recent inauguration of the Google Safety Engineering Centre (GSEC) in Hyderabad on 18th June, 2025, marks a pivotal moment not just for India, but for the entire Asia-Pacific region’s digital future. As only the fourth such centre in the world after Munich, Dublin, and Málaga, its presence signals a shift in how AI safety, cybersecurity, and digital trust are being decentralised, leading to a more globalised and inclusive tech ecosystem. India’s digitisation over the years has grown at a rapid scale, introducing millions of first-time internet users, who, depending on their awareness, are susceptible to online scams, phishing, deepfakes, and AI-driven fraud. The establishment of GSEC is not just about launching a facility but a step towards addressing AI readiness, user protection, and ecosystem resilience.

Building a Safer Digital Future in the Global South

The GSEC is set to operationalise the Google Safety Charter, designed around three core pillars: empowering users by protecting them from online fraud, strengthening government cybersecurity and enterprise, and advancing responsible AI in the platform design and execution. This represents a shift from the standard reactive safety responses to proactive, AI-driven risk mitigation. The goal is to make safety tools not only effective, but tailored to threats unique to the Global South, from multilingual phishing to financial fraud via unofficial lending apps. This centre is expected to stimulate regional cybersecurity ecosystems by creating jobs, fostering public-private partnerships, and enabling collaboration across academia, law enforcement, civil society, and startups. In doing so, it positions Asia-Pacific not as a consumer of the standard Western safety solutions but as an active contributor to the next generation of digital safeguards and customised solutions.

Previous piloted solutions by Google include DigiKavach, a real-time fraud detection framework, and tools like spam protection in mobile operating systems and app vetting mechanisms. What GSEC might aid with is the scaling and integration of these efforts into systems-level responses, where threat detection, safety warnings, and reporting mechanisms, etc., would ensure seamless coordination and response across platforms. This reimagines safety as a core design principle in India’s digital public infrastructure rather than focusing on attack-based response. 

CyberPeace Insights

The launch aligns with events such as the AI Readiness Methodology Conference recently held in New Delhi, which brought together researchers, policymakers, and industry leaders to discuss ethical, secure, and inclusive AI implementation. As the world grapples with how to deal with AI technologies ranging from generative content to algorithmic decisions, centres like GSEC can play a critical role in defining the safeguards and governance structures that can support rapid innovation without compromising public trust and safety. The region’s experiences and innovations in AI governance must shape global norms, and the role of Tech firms in doing so is significant. Apart from this, efforts with respect to creating digital infrastructure and safety centres addressing their protection resonate with India’s vision of becoming a global leader in AI. 

References

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• https://www.thehindu.com/news/cities/Hyderabad/google-safety-engineering-centre-india-inaugurated-in-hyderabad/article69708279.ece 
• https://www.businesstoday.in/technology/news/story/google-launches-safety-charter-to-secure-indias-ai-future-flags-online-fraud-and-cyber-threats-480718-2025-06-17?utm_source=recengine&utm_medium=web&referral=yes&utm_content=footerstrip-1&t_source=recengine&t_medium=web&t_content=footerstrip-1&t_psl=False
• https://blog.google/intl/en-in/partnering-indias-success-in-a-new-digital-paradigm/ 
• https://blog.google/intl/en-in/company-news/googles-safety-charter-for-indias-ai-led-transformation/
• https://economictimes.indiatimes.com/magazines/panache/google-rolls-out-hyderabad-hub-for-online-safety-launches-first-indian-google-safety-engineering-centre/articleshow/121928037.cms?from=mdr

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