#FactCheck: Old Moscow fire video falsely shared as Houthi attack on Saudi Arabia’s Riyadh airport

Introduction

Attacks by cybercriminals targeting national critical infrastructure are increasing at an unsettling rate. Such attacks have the potential to do severe damage by upsetting transportation networks, utilities, financial services, and other vital infrastructure. The physical and digital systems that underpin a nation's economy are known as critical infrastructure thus if they were to be disrupted, there would be serious risks to the economy and public health and safety. Establishing proper cybersecurity measures and protecting those digital systems from possible threats or cyberattacks is necessary. Both public and private sector assets are included in these essential infrastructure categories.

Nationwide alert:

Recently one of the biggest hacker organizations has warned of an upcoming cyberattack on the critical infrastructure and websites in India, causing a countrywide alert. A gang of hackers from Indonesia and Pakistan, celebrating 4,000 members, announced a planned “Cyber Party” on 11 December 2023. The event’s claimed goal is to compromise and disrupt India's digital infrastructure. They disclosed this information on their Telegram channel.

This hacker organization holds a record of launching extensive cyberattacks; in the past, it sent out a "red notice" that was intended to target 12,000 websites run by the Indian government. They have previously attacked other nations, such as Israel, Sweden, and the United States. Their reasons are varied and might include anything from assaults on certain groups to religious disagreements.

The gang has also been acclaimed for hacking into a New York City police agency, obtaining health and social media data from Israel, and exposing information from Swedish social media users. These alarming events show how urgently strong and all-encompassing cybersecurity measures are needed, not only in India but throughout the world.

Effect(s) on India

1.  Central Agencies Are Alert, Expect Health Sector Attacks: The cyberinfrastructure of the health sector has been a common target of assaults, particularly in the aftermath of the COVID-19 epidemic, which has authorities particularly concerned. Relevant ministries have received notifications from central authorities advising them to take precautions against unwanted access. The security of digital infrastructure is seriously challenged by the constantly changing panorama of cyber-attacks, according to those who are aware of the warning and threat.

2. National security concerns: Because of the interconnectedness of critical national infrastructure, a cyberattack may have an impact on national security. Attacks against defense networks, intelligence organizations health infrastructure, or military systems, for instance, might make it more difficult for the nation to respond to threats from outside.

3.    Concerns for Public Safety and Health: Cyberattacks on healthcare systems run the risk of compromising patient data, stopping medical procedures, and even endangering the general public's health. This might have potentially fatal results in urgent circumstances.

4.  Data Breach and Privacy Issues: Stealing confidential data is a common component of cybersecurity assaults. A breach of critical infrastructure systems might result in sensitive data, including personal information, being misused and accessed without authorization, raising privacy issues.

Preventive and protective measures

1.    The plan for responding to incidents: Make sure a clear incident response strategy is in place, with a focus on healthcare systems, and that it is especially designed to handle cyber-attacks on critical infrastructure.

2.  Better Tracking: Observing vital networks, systems, and data flows more closely, especially in the healthcare industry. Using cutting-edge threat detection technologies to spot odd or questionable activity.

3.   Critical System Isolation: Cutting off vital healthcare systems from the wider network to reduce the chance of attackers moving laterally.

4.   Continual Backups: Make sure that backup copies of important data and systems are kept in a safe, isolated location by regularly backing them up. In the event of a ransomware attack or data breach, this makes recovery easier.

5.    Update and patch systems: Make sure that all operating systems and apps utilized in the infrastructure of the healthcare industry are updated with the most recent security updates.

6. Protocols for Communication: In the case of a cyber-incident, establishing explicit communication mechanisms to guarantee that pertinent parties are notified as soon as possible. This covers correspondence with law enforcement, the public, and other members of the healthcare industry as needed.

Conclusion

Urgent preventative actions are essential in response to an impending cyber threat revealed by a large hacker organization that is targeting India's key infrastructure, specifically the healthcare sector. The interconnectedness of this infrastructure puts public safety, privacy, and national security in danger. A crucial defensive approach is formed by the proactive measures mentioned, which include communication protocols, system isolation, improved monitoring, incident response preparation, and frequent backups. The dangers underline the necessity of international collaboration in tackling cybersecurity issues and the requirement for shared responsibility of everyone to safeguard digital networks. To reduce risks and guarantee the resilience of vital national infrastructure in the face of changing cyber threats, authorities must continue to develop and adapt their cybersecurity tactics.

References:

• https://www.cnbctv18.com/technology/exclusive--nationwide-alert-sounded-as-hacker-group-plans-cyber-party-to-attack-indias-critical-digital-infra-18520021.htm
• https://www.the420.in/ndian-authorities-high-alert-hacker-groups-threaten-cyber-assault/
• https://www.cnbctv18.com/technology/exclusive--nationwide-alert-sounded-as-hacker-group-plans-cyber-party-to-attack-indias-critical-digital-infra-18520021.htm#:~:text=By%20News18.com%20Dec%208,%3A58%20AM%20IST%20(Published)&text=A%20nationwide%20alert%20has%20been,Indian%20websites%20and%20critical%20infrastructure
• https://verveindustrial.com/resources/blog/critical-infrastructure-cyber-security/

As AI language models become more powerful, they are also becoming more prone to errors. One increasingly prominent issue is AI hallucinations, instances where models generate outputs that are factually incorrect, nonsensical, or entirely fabricated, yet present them with complete confidence. Recently, ChatGPT released two new models—o3 and o4-mini, which differ from earlier versions as they focus more on step-by-step reasoning rather than simple text prediction. With the growing reliance on chatbots and generative models for everything from news summaries to legal advice, this phenomenon poses a serious threat to public trust, information accuracy, and decision-making.

What Are AI Hallucinations?

AI hallucinations occur when a model invents facts, misattributes quotes, or cites nonexistent sources. This is not a bug but a side effect of how Large Language Models (LLMs) work, and it is only the probability that can be reduced, not their occurrence altogether. Trained on vast internet data, these models predict what word is likely to come next in a sequence. They have no true understanding of the world or facts, they simulate reasoning based on statistical patterns in text. What is alarming is that the newer and more advanced models are producing more hallucinations, not fewer. seemingly counterintuitive. This has been prevalent reasoning-based models, which generate answers step-by-step in a chain-of-thought style. While this can improve performance on complex tasks, it also opens more room for errors at each step, especially when no factual retrieval or grounding is involved.

As per reports shared on TechCrunch, it mentioned that when users asked AI models for short answers, hallucinations increased by up to 30%. And a study published in eWeek found that ChatGPT hallucinated in 40% of tests involving domain-specific queries, such as medical and legal questions. This was not, however, limited to this particular Large Language Model, but also similar ones like DeepSeek. Even more concerning are hallucinations in multimodal models like those used for deepfakes. Forbes reports that some of these models produce synthetic media that not only look real but are also capable of contributing to fabricated narratives, raising the stakes for the spread of misinformation during elections, crises, and other instances.

It is also notable that AI models are continually improving with each version, focusing on reducing hallucinations and enhancing accuracy. New features, such as providing source links and citations, are being implemented to increase transparency and reliability in responses.

The Misinformation Dilemma

The rise of AI-generated hallucinations exacerbates the already severe problem of online misinformation. Hallucinated content can quickly spread across social platforms, get scraped into training datasets, and re-emerge in new generations of models, creating a dangerous feedback loop. However, it helps that the developers are already aware of such instances and are actively charting out ways in which we can reduce the probability of this error. Some of them are:

1. Retrieval-Augmented Generation (RAG): Instead of relying purely on a model’s internal knowledge, RAG allows the model to “look up” information from external databases or trusted sources during the generation process. This can significantly reduce hallucination rates by anchoring responses in verifiable data.
2. Use of smaller, more specialised language models: Lightweight models fine-tuned on specific domains, such as medical records or legal texts. They tend to hallucinate less because their scope is limited and better curated.

Furthermore, transparency mechanisms such as source citation, model disclaimers, and user feedback loops can help mitigate the impact of hallucinations. For instance, when a model generates a response, linking back to its source allows users to verify the claims made.

Conclusion

AI hallucinations are an intrinsic part of how generative models function today, and such a side-effect would continue to occur until foundational changes are made in how models are trained and deployed. For the time being, developers, companies, and users must approach AI-generated content with caution. LLMs are, fundamentally, word predictors, brilliant but fallible. Recognising their limitations is the first step in navigating the misinformation dilemma they pose.

References

• https://www.eweek.com/news/ai-hallucinations-increase/
• https://www.resilience.org/stories/2025-05-11/better-ai-has-more-hallucinations/ 
• https://www.ekathimerini.com/nytimes/1269076/ai-is-getting-more-powerful-but-its-hallucinations-are-getting-worse/ 
• https://techcrunch.com/2025/05/08/asking-chatbots-for-short-answers-can-increase-hallucinations-study-finds/ 
• https://en.as.com/latest_news/is-chatgpt-having-robot-dreams-ai-is-hallucinating-and-producing-incorrect-information-and-experts-dont-know-why-n/
• https://www.newscientist.com/article/2479545-ai-hallucinations-are-getting-worse-and-theyre-here-to-stay/
• https://www.forbes.com/sites/conormurray/2025/05/06/why-ai-hallucinations-are-worse-than-ever/ 
• https://towardsdatascience.com/how-i-deal-with-hallucinations-at-an-ai-startup-9fc4121295cc/ 
• https://www.informationweek.com/machine-learning-ai/getting-a-handle-on-ai-hallucinations 

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Executive Summary:
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A video circulating on social media claims that people in Balochistan, Pakistan, hoisted the Indian national flag and declared independence from Pakistan. The claim has gone viral, sparking strong reactions and spreading misinformation about the geopolitical scenario in South Asia. Our research reveals that the video is misrepresented and actually shows a celebration in Surat, Gujarat, India.

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Claim:

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A viral video shows people hoisting the Indian flag and allegedly declaring independence from Pakistan in Balochistan. The claim implies that Baloch nationals are revolting against Pakistan and aligning with India.

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Fact Check:

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After researching the viral video, it became clear that the claim was misleading. We took key screenshots from the video and performed a reverse image search to trace its origin. This search led us to one of the social media posts from the past, which clearly shows the event taking place in Surat, Gujarat, not Balochistan.

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In the original clip, a music band is performing in the middle of a crowd, with people holding Indian flags and enjoying the event. The environment, language on signboards, and festive atmosphere all confirm that this is an Indian Independence Day celebration. From a different angle, another photo we found further proves our claim.

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However, some individuals with the intention of spreading false information shared this video out of context, claiming it showed people in Balochistan raising the Indian flag and declaring independence from Pakistan. The video was taken out of context and shared with a fake narrative, turning a local celebration into a political stunt. This is a classic example of misinformation designed to mislead and stir public emotions.

To add further clarity, The Indian Express published a report on May 15 titled ‘Slogans hailing Indian Army ring out in Surat as Tiranga Yatra held’. According to the article, “A highlight of the event was music bands of Saifee Scout Surat, which belongs to the Dawoodi Bohra community, seen leading the yatra from Bhagal crossroads.” This confirms that the video was from an event in Surat, completely unrelated to Balochistan, and was falsely portrayed by some to spread misleading claims online.

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Conclusion:

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The claim that people in Balochistan hoisted the Indian national flag and declared independence from Pakistan is false and misleading. The video used to support this narrative is actually from Surat, Gujarat, India, during “The Tiranga Yatra”. Social media users are urged to verify the authenticity and source of content before sharing, to avoid spreading misinformation that may escalate geopolitical tensions.
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• ‍Claim: Mass uprising in Balochistan as citizens reject Pakistan and honor India.
• ‍Claimed On: Social Media
• ‍Fact Check: False and Misleading