#FactCheck -Fake Viral Poster Falsely Attributes Political Endorsement of Rahul Gandhi to Sachin Tendulkar
Executive Summary
A post claiming that former Indian cricketer Sachin Tendulkar praised Congress leader Rahul Gandhi and urged people to elect him as Prime Minister is being widely circulated on social media.The viral poster falsely attributes a political statement to Sachin Tendulkar, suggesting that he has endorsed Rahul Gandhi for the post of Prime Minister. However, CyberPeace Research Wing research found the claim to be fake. Sachin Tendulkar has not made any such appeal or statement supporting Rahul Gandhi for Prime Minister.
Claim
On X (formerly Twitter), a verified user “Queen” shared a viral poster claiming:“Sachin Tendulkar has always supported education and never promoted superstition. Rahul Gandhi always predicts what Narendra Modi will do next. It is time to choose Rahul Gandhi again.”
Fact Check
To verify the claim, we first searched for any news reports, interviews, or credible references linking Sachin Tendulkar to such a political statement. However, we found no evidence in any reliable media source or public record suggesting that he made any such remark about Rahul Gandhi or the Prime Ministership. We also reviewed Sachin Tendulkar’s official social media accounts, but found no post, video, or statement endorsing any political leader in this manner.
Finally, the viral poster was analysed using the AI detection tool Hive Moderation. The analysis indicated a 96.8% probability that the poster was digitally created or manipulated, suggesting possible AI-generated or edited content.
Conclusion
CyberPeace Research Wing research found the claim to be fake. Sachin Tendulkar has not made any appeal to elect Rahul Gandhi as Prime Minister. The viral poster appears to be digitally fabricated and is being shared to spread misinformation.
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Executive Summary
A video is being shared on social media showing a group of people dancing on a road while carrying saffron flags. A mosque can also be seen nearby in the video Sharing this clip, some users are claiming that it is from Uttam Nagar in Delhi, where members of the Hindu community celebrated Holi on the occasion of Eid on March 21. Research by the CyberPeace found the viral claim to be misleading. Our probe revealed that the video is not related to Holi celebrations on Eid in Uttam Nagar, Delhi. In fact, the video has been available on the internet since 2024 and is said to be from Raichur district in Karnataka. Several users have shared it claiming that it was recorded during Ganesh Chaturthi celebrations.
Claim:
A social media user shared the viral video on March 21, 2026, with a misleading claim. The link and archive link of the post are given below.
Fact Check:
To verify the viral claim, we first conducted a keyword search on Google. However, we did not find any credible media report supporting the claim. In the next step, we extracted keyframes from the video and performed a reverse search using Google Lens. During this process, we found the same video on an Instagram account, which was posted on September 23, 2024.
The user had captioned the video as “Ganesh Chaturthi 2024,” suggesting that the clip is related to the festival. Further, upon closely analyzing the video, we noticed that the mosque visible in the background had “Usmania Masjid” written on it. We then searched for this location on Google Maps and found that the mosque is located on Teen Khandil Road in Raichur, Karnataka, which matches the visuals seen in the viral clip.
Conclusion:
Our research found that the video is not from Uttam Nagar, Delhi, nor is it related to Holi celebrations on Eid. The clip has been available online since 2024 and is from Raichur, Karnataka. It has been shared with a misleading claim and is actually linked to Ganesh Chaturthi celebrations.
Introduction
The digital landscape of the nation has reached a critical point in its evolution. The rapid adoption of technologies such as cloud computing, mobile payment systems, artificial intelligence, and smart infrastructure has led to a high degree of integration between digital systems and governance, commercial activity, and everyday life. As dependence on these systems continues to grow, a wide range of cyber threats has emerged that are complex, multi-layered, and closely interconnected. By 2026, cyber security threats directed at India are expected to include an increasing number of targeted, well-organised, and strategic cyber attacks. These attacks are likely to focus on exploiting the trust placed in technology, institutions, automation, and the fast pace of technological change.
1. Social Engineering 2.0: Hyper-Personalised AI Phishing & Mobile Banking Malware
Cybercriminals have moved from generalised methods to hyper-targeted attacks through AI-based psychological manipulation. In addition to social media profiles, data breaches, and digital/tracking footprints, the latest types of cybercrimes expected in 2026 will involve AI-based analysis of this information to create and increase the use of hyper-targeted phishing emails.
Phishing emails are capable of impersonating banks, employers, and even family members, with all the same regionally or culturally relevant tone, language, and context as would be done if these persons were sending the emails in person.
With malicious applications disguised as legitimate service apps, cybercriminals have the ability to intercept and capture One-Time Passwords (OTPs), hijack user sessions, and steal money from user accounts in a matter of minutes.
These types of attempts or attacks are successful not only because of their technical sophistication, but because they take advantage of human trust at scale, giving them an almost limitless reach into the financial systems of people around the world through their computers and mobile devices.
2. Cloud and Supply Chain Vulnerabilities
As Indian organisations increasingly migrate to cloud infrastructure, cloud misconfigurations are emerging as a major cybersecurity risk. Weak identity controls, exposed storage, and improper access management can allow attackers to bypass traditional network defences. Alongside this, supply chain attacks are expected to intensify in 2026.
In supply chain attacks, cybercriminals compromise a trusted software vendor or service provider to infiltrate multiple downstream organisations. Even entities with strong internal security can be affected through third-party dependencies. For India’s startup ecosystem, government digital platforms, and IT service providers, this presents a systemic risk. Strengthening vendor risk management and visibility across digital supply chains will be essential.
3. Threats to IoT and Critical Infrastructure
By implementing smart cities, digital utilities, and connected public services, IoT has opened itself up to increased levels of operational technology (OT) through India’s initiative. However, there is currently a lack of adequate security in the form of strong authentication, encryption, and update methods available on many IoT devices. By the year 2026, attackers are going to be able to exploit these vulnerabilities much more than they already are.
Cyberattacks on critical infrastructure such as energy, transportation, healthcare, and telecom systems have far-reaching consequences that extend well beyond data loss; they directly affect the provision of essential services, can damage public safety, and raise concerns over national security. Effectively securing critical infrastructure needs to involve dedicated security solutions to deal with the specific needs of critical infrastructure, in contrast to conventional IT security.
4. Hidden File Vectors and Stealth Payload Delivery
SVG File Abuse in Stealth Attacks
Cybercriminals are continually searching for ways to bypass security filters, and hidden file vectors are emerging as a preferred tactic. One such method involves the abuse of SVG (Scalable Vector Graphics) files. Although commonly perceived as harmless image files, SVGs can contain embedded scripts capable of executing malicious actions.
By 2026, SVG-based attacks are expected to be used in phishing emails, cloud file sharing, and messaging platforms. Because these files often bypass traditional antivirus and email security systems, they provide an effective stealth delivery mechanism. Indian organisations will need to rethink assumptions about “safe” file formats and strengthen deep content inspection capabilities.
5. Quantum-Era Cyber Risks and “Harvest Now, Decrypt Later” Attacks
Although practical quantum computers are still emerging, quantum-era cyber risks are already a present-day concern. Adversaries are believed to be intercepting and storing encrypted data now with the intention of decrypting it in the future once quantum capabilities mature—a strategy known as “harvest now, decrypt later.” This poses serious long-term confidentiality risks.
Recognising this threat, the United States took early action during the Biden administration through National Security Memorandum 10, which directed federal agencies to prepare for the transition to quantum-resistant cryptography. For India, similar foresight is essential, as sensitive government communications, financial data, health records, and intellectual property could otherwise be exposed retrospectively. Preparing for quantum-safe cryptography will therefore become a strategic priority in the coming years.
6. AI Trust Manipulation and Model Exploitation
Poisoning the Well – Direct Attacks on AI Models
As artificial intelligence systems are increasingly used for decision-making—ranging from fraud detection and credit scoring to surveillance and cybersecurity—attackers are shifting focus from systems to models themselves. “Poisoning the well” refers to attacks that manipulate training data, feedback mechanisms, or input environments to distort AI outputs.
In the context of India's rapidly growing digital ecosystem, compromised AI models can result in biased decisions, false security alerts or denying legitimate services. The big problem with these types of attacks is they may occur without triggering conventional security measures. Transparency, integrity and continuous monitoring of AI systems will be key to creating and maintaining stakeholder confidence in the decision-making process of the automated systems.
Recommendations
Despite the increasing sophistication of malicious cyber actors, India is entering this phase with a growing level of preparedness and institutional capacity. The country has strengthened its cyber security posture through dedicated mechanisms and relevant agencies such as the Indian Cyber Crime Coordination Centre, which play a central role in coordination, threat response, and capacity building. At the same time, sustained collaboration among government bodies, non-governmental organisations, technology companies, and academic institutions has expanded cyber security awareness, skill development, and research. These collective efforts have improved detection capabilities, response readiness, and public resilience, placing India in a stronger position to manage emerging cyber threats and adapt to the evolving digital environment.
Conclusion
By 2026, complexity, intelligence, and strategic intent will increasingly define cyber threats to the digital ecosystem. Cyber criminals are expected to use advanced methods of attack, including artificial intelligence assisted social engineering and the exploitation of cloud supply chain risks. As these threats evolve, adversaries may also experiment with quantum computing techniques and the manipulation of AI models to create new ways of influencing and disrupting digital systems. In response, the focus of cybersecurity is shifting from merely preventing breaches to actively protecting and restoring digital trust. While technical controls remain essential, they must be complemented by strong cybersecurity governance, adherence to regulatory standards, and sustained user education. As India continues its digital transformation, this period presents a valuable opportunity to invest proactively in cybersecurity resilience, enabling the country to safeguard citizens, institutions, and national interests with confidence in an increasingly complex and dynamic digital future.
References
- https://www.seqrite.com/india-cyber-threat-report-2026/
- https://www.uscsinstitute.org/cybersecurity-insights/blog/ai-powered-phishing-detection-and-prevention-strategies-for-2026
- https://www.expresscomputer.in/guest-blogs/cloud-security-risks-that-should-guide-leadership-in-2026/130849/
- https://www.hakunamatatatech.com/our-resources/blog/top-iot-challenges
- https://csrc.nist.gov/csrc/media/Presentations/2024/u-s-government-s-transition-to-pqc/images-media/presman-govt-transition-pqc2024.pdf
- https://www.cyber.nj.gov/Home/Components/News/News/1721/214
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Introduction
A Pew Research Center survey conducted in September 2023, found that among 1,453 age group of 13-17 year olds projected that the majority of the age group uses TikTok (63%), Snapchat (60%) and Instagram (59%) in the U.S. Further, in India the 13-19 year-olds age group makes up 31% of social media users in India, according to a report by Statista from 2021. This has been the leading cause of young users inadvertently or deliberately accessing adult content on social media platforms.
Brief Analysis of Meta’s Proposed AI Age Classifier
It can be seen as a step towards safer and moderated content for teen users, by placing age restrictions on teen social media users as sometimes they do not have enough cognitive skills to understand what content can be shared and consumed on these platforms and what can not as per their age. Moreover, there needs to be an understanding of platform policies and they need to understand that nothing can be completely erased from the internet.
Unrestricted access to social media exposes teens to potentially harmful or inappropriate online content, raising concerns about their safety and mental well-being. Meta's recent measures aim to address this, however striking a balance between engagement, protection, and privacy is also an essential part.
The AI-based Age Classifier proposed by Meta classifies users based on their age and places them in the ‘Teen Account’ category which has built-in limits on who can contact them, the content they see and more ways to connect and explore their interests. According to Meta, teens under 16 years of age will need parental permission to change these settings.
Meta's Proposed Solution: AI-Powered Age Classifier
This tool uses Artificial Intelligence (AI) to analyze users’ online behaviours and other profile information to estimate their age. It analyses different factors such as who follows the user, what kind of content they interact with, and even comments like birthday posts from friends. If the classifier detects that a user is likely under 18 years old, it will automatically switch them to a “Teen Account.” These accounts have more restricted privacy settings, such as limiting who can message the user and filtering the type of content they can see.
The adult classifier is anticipated to be deployed by next year and will start scanning for such users who may have lied about their age. All users found to be under 18 years old will be placed in the category of teen accounts, but 16-17 year olds will be able to adjust these settings if they want more flexibility, while younger teens will need parental permission. The effort is part of a broader strategy to protect teens from potentially harmful content on social media. This is especially important in today’s time as the invasion of privacy for anyone, particularly, can be penalised due to legal instruments like GDPR, DPDP Act, COPPA and many more.
Policy Implications and Compliances
Meta's AI Age Classifier addresses the growing concerns over teen safety on social media by categorizing users based on age, restricting minors' access to adult content, and enforcing parental controls. However, reliance on behavioural tracking might potentially impact the online privacy of teen users. Hence the approach of Meta needs to be aligned with applicable jurisdictional laws. In India, the recently enacted DPDP Act, of 2023 prohibits behavioural tracking and targeted advertising to children. Accuracy and privacy are the two main concerns that Meta should anticipate when they roll out the classifier.
Meta emphasises transparency to build user trust, and customizable parental controls empower families to manage teens' online experiences. This initiative reflects Meta's commitment to creating a safer, regulated digital space for young users worldwide, it must also align its policies properly with the regional policy and law standards. Meta’s proposed AI Age Classifier aims to protect teens from adult content, reassure parents by allowing them to curate acceptable content, and enhance platform integrity by ensuring a safer environment for teen users on Instagram.
Conclusion
Meta’s AI Age Classifier while promising to enhance teen safety and putting certain restrictions and parental controls on accounts categorised as ‘teen accounts’, must also properly align with global regulations like GDPR, and the DPDP Act with reference to India. This tool offers reassurance to parents and aims to foster a safer social media environment for teens. To support accurate age estimation and transparency, policy should focus on refining AI methods to minimise errors and ensure clear disclosures about data handling. Collaborative international standards are essential as privacy laws evolve. Meta’s initiative is intended to prioritise youth protection and build public trust in AI-driven moderation across social platforms, while it must also balance the online privacy of users while utilising these advanced tech measures on the platforms.
References
- https://familycenter.meta.com/in/our-products/instagram/
- https://www.indiatoday.in/technology/news/story/instagram-will-now-take-help-of-ai-to-check-if-kids-are-lying-about-their-age-on-app-2628464-2024-11-05
- https://www.bloomberg.com/news/articles/2024-11-04/instagram-plans-to-use-ai-to-catch-teens-lying-about-age
- https://tech.facebook.com/artificial-intelligence/2022/6/adult-classifier/
- https://indianexpress.com/article/technology/artificial-intelligence/too-young-to-use-instagram-metas-ai-classifier-could-help-catch-teens-lying-about-their-age-9658555/
