#FactCheck -2018 Baba Ramdev Video on Cheap Petrol Resurfaces Amid Fuel Price Hike, Shared Out of Context

Introduction

With the ever-growing technology where cyber-crimes are increasing, a new cyber-attack is on the rise, but it’s not in your inbox or your computer- it's targeting your phone, especially your smartphone. Cybercriminals are expanding their reach in India, with a new text-messaging fraud targeting individuals. The Indian Computer Emergency Response Team (CERT-In) has warned against "smishing," or SMS phishing. 

Understanding Smishing

Smishing is a combination of the terms "SMS" and "phishing." It entails sending false text messages that appear to be from reputable sources such as banks, government organizations, or well-known companies. These communications frequently generate a feeling of urgency in their readers, prompting them to click on harmful links, expose personal information, or conduct financial transactions.

When hackers "phish," they send out phony emails in the hopes of tricking the receiver into clicking on a dangerous link. Smishing is just the use of text messaging rather than email. In essence, these hackers are out to steal your personal information to commit fraud or other cybercrimes. This generally entails stealing money – usually your own, but occasionally also the money of your firm.

The cybercriminals typically use these tactics to lure victims and steal the information.

Malware- The cyber crooks send the smishing URL link that might tick you into downloading malicious software on your phone itself. This SMS malware may appear as legitimate software, deceiving you into putting in sensitive information and transmitting it to crooks.

Malicious website- The URL in the smishing message may direct you to a bogus website that seeks sensitive personal information. Cybercriminals employ custom-made rogue sites meant to seem like legitimate ones, making it simpler to steal your information.

Smishing text messages often appear to be from your bank, asking you to share personal sensitive information, ATM numbers, or account details. Mobile device cybercrime is increasing, as is mobile device usage. Aside from the fact that texting is the most prevalent usage of cell phones, a few additional aspects make this an especially pernicious security issue. Let's go over how smishing attacks operate.

Modus Operandi

The cyber crooks commit the fraud via SMS. As attackers assume an identity that might be of someone trusted, Smishing attackers can use social engineering techniques to sway a victim's decision-making. Three things are causing this deception:

• Trust- Cyber crooks target individuals, by posing to someone from a legitimate individual and organization, this naturally lowers a person’s defense against threats. 

• Context- Using a circumstance that might be relevant to targets helps an attacker to create an effective disguise. The message feels personalized, which helps it overcome any assumption that it is spam.
• Emotion- The nature of the SMS is critical; it makes the victim think that is urgent and requires rapid action. Using these tactics, attackers craft communications that compel the receiver to act.
• Typically, attackers want the victim to click on a URL link within the text message, which takes them to a phishing tool that asks them for sensitive information. This phishing tool is frequently in the form of a website or app that also assumes a phony identity.

How does Smishing Spread?

As we have revealed earlier smishing attacks are delivered through both traditional texts. However, SMS phishing attacks primarily appear to be from known sources People are less careful while they are on their phones. Many people believe that their cell phones are more secure than their desktops. However, smartphone security has limits and cannot always guard against smishing directly.

Considering the fact phones are the target While Android smartphones dominate the market and are a perfect target for malware text messages, iOS devices are as vulnerable. Although Apple's iOS mobile technology has a high reputation for security, no mobile operating system can protect you from phishing-style assaults on its own. A false feeling of security, regardless of platform, might leave users especially exposed.

Kinds of smishing attacks

Some common types of smishing attacks that occurred are;

•  COVID-19 Smishing: The Better Business Bureau observed an increase in reports of US government impersonators sending text messages requesting consumers to take an obligatory COVID-19 test via a connected website in April 2020. The concept of these smishing assaults may readily develop, as feeding on pandemic concerns is a successful technique of victimizing the public.

• Gift Smishing: Give away, shopping rewards, or any number of other free offers, this kind of smishing includes free services or products, from a reputable or other company. attackers plan in such a way that the offer is for a limited time or is an exclusive offer and the offers are so lucrative that one gets excited and falls into the trap. 

CERT Guidelines

 CERT-In shared some steps to avoid falling victim to smishing. 

• Never click on any suspicious link in SMS/social media charts or posts.
• Use online resources to validate shortened URLs.
• Always check the link before clicking.
• Use updated antivirus and antimalware tools.
• If you receive any suspicious message pretending to be from a bank or institution, immediately contact the bank or institution.
• Use a separate email account for personal online transactions.
• Enforce multi-factor authentication (MFA) for emails and bank accounts.
• Keep your operating system and software updated with the latest patches.

Conclusion

Smishing uses fraudulent mobile text messages to trick people into downloading malware, sharing sensitive data, or paying cybercriminals money. With the latest technological developments, it has become really important to stay vigilant in the digital era not only protecting your computers but safeguarding the devices that fit in the palm of your hand, CERT warning plays a vital role in this. Awareness and best practices play a pivotal role in safeguarding yourself from evolving threats.

Reference

• https://www.ndtv.com/india-news/government-warns-of-smishing-attacks-heres-how-to-stay-safe-4709458
• https://zeenews.india.com/technology/govt-warns-citizens-about-smishing-scam-how-to-protect-against-this-online-threat-2654285.html
• https://www.the420.in/protect-against-smishing-scams-cert-in-advice-online-safety/

The World Economic Forum reported that AI-generated misinformation and disinformation are the second most likely threat to present a material crisis on a global scale in 2024 at 53% (Sept. 2023). Artificial intelligence is automating the creation of fake news at a rate disproportionate to its fact-checking. It is spurring an explosion of web content mimicking factual articles that instead disseminate false information about grave themes such as elections, wars and natural disasters. 

According to a report by the Centre for the Study of Democratic Institutions, a Canadian think tank, the most prevalent effect of Generative AI is the ability to flood the information ecosystem with misleading and factually-incorrect content. As reported by Democracy Reporting International during the 2024 elections of the European Union, Google's Gemini, OpenAI’s ChatGPT 3.5 and 4.0, and Microsoft’s AI interface ‘CoPilot’ were inaccurate one-third of the time when engaged for any queries regarding the election data.   Therefore, a need for an innovative regulatory approach like regulatory sandboxes which can address these challenges while encouraging responsible AI innovation is desired.

What Is AI-driven Misinformation?

False or misleading information created, amplified, or spread using artificial intelligence technologies is AI-driven misinformation. Machine learning models are leveraged to automate and scale the creation of false and deceptive content. Some examples are deep fakes, AI-generated news articles, and bots that amplify false narratives on social media.

The biggest challenge is in the detection and management of AI-driven misinformation. It is difficult to distinguish AI-generated content from authentic content, especially as these technologies advance rapidly. 

AI-driven misinformation can influence elections, public health, and social stability by spreading false or misleading information. While public adoption of the technology has undoubtedly been rapid, it is yet to achieve true acceptance and actually fulfill its potential in a positive manner because there is widespread cynicism about the technology - and rightly so. The general public sentiment about AI is laced with concern and doubt regarding the technology’s trustworthiness, mainly due to the absence of a regulatory framework maturing on par with the technological development. 

Regulatory Sandboxes: An Overview

Regulatory sandboxes refer to regulatory tools that allow businesses to test and experiment with innovative products, services or businesses under the supervision of a regulator for a limited period. They engage by creating a controlled environment where regulators allow businesses to test new technologies or business models with relaxed regulations.

Regulatory sandboxes have been in use for many industries and the most recent example is their use in sectors like fintech, such as the UK’s Financial Conduct Authority sandbox. These models have been known to encourage innovation while allowing regulators to understand emerging risks. Lessons from the fintech sector show that the benefits of regulatory sandboxes include facilitating firm financing and market entry and increasing speed-to-market by reducing administrative and transaction costs. For regulators, testing in sandboxes informs policy-making and regulatory processes. Looking at the success in the fintech industry, regulatory sandboxes could be adapted to AI, particularly for overseeing technologies that have the potential to generate or spread misinformation.

The Role of Regulatory Sandboxes in Addressing AI Misinformation

Regulatory sandboxes can be used to test AI tools designed to identify or flag misinformation without the risks associated with immediate, wide-scale implementation. Stakeholders like AI developers, social media platforms, and regulators work in collaboration within the sandbox to refine the detection algorithms and evaluate their effectiveness as content moderation tools.

These sandboxes can help balance the need for innovation in AI and the necessity of protecting the public from harmful misinformation. They allow the creation of a flexible and adaptive framework capable of evolving with technological advancements and fostering transparency between AI developers and regulators. This would lead to more informed policymaking and building public trust in AI applications.

CyberPeace Policy Recommendations 

Regulatory sandboxes offer a mechanism to predict solutions that will help to regulate the misinformation that AI tech creates. Some policy recommendations are as follows: 

1. Create guidelines for a global standard for including regulatory sandboxes that can be adapted locally and are useful in ensuring consistency in tackling AI-driven misinformation.
2. Regulators can propose to offer incentives to companies that participate in sandboxes. This would encourage innovation in developing anti-misinformation tools, which could include tax breaks or grants.
3. Awareness campaigns can help in educating the public about the risks of AI-driven misinformation and the role of regulatory sandboxes can help manage public expectations.
4. Periodic and regular reviews and updates to the sandbox frameworks should be conducted to keep pace with advancements in AI technology and emerging forms of misinformation should be emphasized.

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Conclusion and the Challenges for Regulatory Frameworks

Regulatory sandboxes offer a promising pathway to counter the challenges that AI-driven misinformation poses while fostering innovation. By providing a controlled environment for testing new AI tools, these sandboxes can help refine technologies aimed at detecting and mitigating false information. This approach ensures that AI development aligns with societal needs and regulatory standards, fostering greater trust and transparency. With the right support and ongoing adaptations, regulatory sandboxes can become vital in countering the spread of AI-generated misinformation, paving the way for a more secure and informed digital ecosystem.

References

• https://www.thehindu.com/sci-tech/technology/on-the-importance-of-regulatory-sandboxes-in-artificial-intelligence/article68176084.ece
• https://www.oecd.org/en/publications/regulatory-sandboxes-in-artificial-intelligence_8f80a0e6-en.html
• https://www.weforum.org/publications/global-risks-report-2024/
• https://democracy-reporting.org/en/office/global/publications/chatbot-audit#Conclusions

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Executive Summary

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Following the tragic cruise accident at Bargi Dam in Jabalpur, a heartbreaking image of a woman lying unconscious in a river with a child resting on top of her has gone viral on social media. Users are claiming that the picture shows victims of the recent Bargi Dam accident. Research by CyberPeace Research Wing found that the viral claim is false. The circulating image was created using AI (Artificial Intelligence) and is now being misleadingly linked to the real tragedy. However, reports indicate that a similar real-life image of a mother and child did emerge after the accident.

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Claim

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An X user shared the viral image on May 1, 2026, claiming that despite wearing a life jacket, the mother lost her life while trying to save her child. The emotional post praised mothers’ sacrifice and linked the image directly to the Bargi Dam cruise mishap An X user shared the viral image on May 1, 2026, claiming that despite wearing a life jacket, the mother lost her life while trying to save her child. The emotional post praised mothers’ sacrifice and linked the image directly to the Bargi Dam cruise mishap

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• https://x.com/HindutvaNerve/status/2050178036214210626?s=20 
• https://perma.cc/BS95-KD4E 

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Fact Check

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To verify the claim, we searched relevant keywords on Google but found no credible news reports connecting the viral image to the Bargi Dam accident. A closer examination of the image revealed multiple visual inconsistencies. The hands of the woman and child appear unnaturally merged at one point, while the woman’s eyebrows seem split into two sections. Such distortions are common indicators of AI-generated imagery.

We then analyzed the picture using AI detection tool Hive Moderation, which estimated nearly a 90% probability that the image was AI-generated.

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During the research , we also found a clarification post from the official Facebook account of the Jabalpur District Collector, who stated that the viral image was AI-generated or sourced elsewhere and had no connection with the Bargi cruise accident.

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According to a report published by NDTV on May 2, 2026, the accident occurred on April 30 near Khamaria Island when an overloaded tourist cruise capsized amid strong winds, heavy rain, and rising waves. At least nine people died, while 28 others were rescued.

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https://ndtv.in/madhya-pradesh-chhattisgarh/jabalpur-bargi-dam-accident-little-girl-siya-story-who-lost-brother-mother-in-incident-11438231

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Conclusion

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Our research  confirms that the viral mother-child image being linked to the Bargi Dam tragedy is fake. The picture was created using AI and falsely circulated in connection with the real cruise accident.

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