#FactCheck! Viral Image Claiming Virat Kohli and Rohit Sharma Visited Kedarnath Is AI-Generated
A photo featuring Indian cricketers Virat Kohli and Rohit Sharma is being widely shared on social media. In the image, both players are seen holding a Shivling, with the Kedarnath temple visible in the background. Users sharing the image claim that Virat Kohli and Rohit Sharma recently visited Kedarnath.
However, CyberPeace Foundation’s investigation found the claim to be false. Our verification established that the viral image is not real but has been created using Artificial Intelligence (AI) and is being circulated with a misleading narrative.
The Claim
An Instagram user shared the viral image on December 22, 2025, with the caption stating that Rohit Sharma and Virat Kohli are in Kedarnath. The post has since been widely reshared by other users, who assumed the image to be authentic. Link, archive link, screenshot:
Fact Check
On closely examining the viral image, the Desk noticed visual inconsistencies suggesting that it may be AI-generated. To verify this, the image was scanned using the AI detection tool HIVE Moderation. According to the results, the image was found to be 99 per cent AI-generated.
Further verification was conducted using another AI detection tool, Sightengine. The analysis revealed that the image was 93 per cent likely to be AI-generated, reinforcing the findings from the previous tool.
Conclusion
CyberPeace Foundation’s research confirms that the viral image claiming Virat Kohli and Rohit Sharma visited Kedarnath is fabricated. The image has been generated using AI technology and is being falsely shared on social media as a real photograph.
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Introduction
Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.
What isQuantum computing?
Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.
Interconnected Future
Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.
- Enhancing AI Capabilities:
Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.
- Solving Complex Problems:
The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.
- Advancements in Finance and Optimisation:
The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.
- Strengthening Cybersecurity:
Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.
- Quantum-Inspired AI:
Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.
How Quantum Computing and AI Should be Regulated-
As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.
- Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
- Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
- Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
- International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
- Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:
- Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
- Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
- Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
- Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
- Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.
Conclusion:
Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.
Introduction
Devices and interconnectivity are the pipelines which drive the data into cyberspace, and in turn, the users consume this data to perform different tasks in the digital age. The security of devices and networks is essential as they are the first defenders of cyberspace. Bad actors often target systems and networks with malware and ransomware, these attacks are differently motivated, but all wreak havoc upon the system and can impact individuals and organisations alike. Mobile users worldwide prefer iOS or Android, but both operating systems are vulnerable to cyberattacks these days. Some of these attacks go undetected for a long time.
Op Triangulation
As reported by Kaspersky, While monitoring the network traffic of their own corporate Wi-Fi network dedicated to mobile devices using the Kaspersky Unified Monitoring and Analysis Platform (KUMA), Kaspersky noticed suspicious activity that originated from several iOS-based phones. Since it is impossible to inspect modern iOS devices from the inside, they created offline backups of the devices in question, inspected them using the Mobile Verification Toolkit’s mvt-ios and discovered traces of compromise. This is known as Operation Triangulation and has been in action since 2019 and got detected in 2023.
The Malware
A portion of the filesystem, including some of the user data and service databases, is included in mobile device backups. The files, directories, and database entries’ timestamps make it possible to reconstruct the events that happened to the device roughly. The “timeline.csv” file created by the mvt-ios software contains a sorted timeline of events that is comparable to the super-timeline utilised by traditional digital forensic tools. Pinpointing particular artefacts that show the compromise using this timeframe. This made it possible to advance the research and reassemble the broad infection sequence:
Through the iMessage service, a message with an attachment containing an exploit is delivered to the target iOS device.
The message initiates a vulnerability that results in code execution without any user input.
The exploit’s code downloads multiple additional stages, including additional exploits for privilege escalation, from the C&C server.
After successful exploitation, a fully functional APT platform is downloaded as the final payload from the C&C server.
The first message and the attachment’s exploit are removed
The lack of persistence support in the harmful toolset is most likely a result of OS restrictions. Multiple devices’ timeframes suggest that after rebooting, they might get infected again. The earliest signs of infection that we found date to 2019. The most recent version of the devices that have been successfully attacked as of the time of writing in June 2023 is iOS 15.7.
The final payload analysis is still ongoing. The programme executes with root rights, implements a set of commands for gathering user and system data, and can run any code downloaded as plugin modules from the C&C server.
Malicious Domains
Using the forensic artefacts, it was possible to identify the domain name set used by the exploits and further malicious stages. They can be used to check the DNS logs for historical information and to identify the devices currently running the malware:
addatamarket[.]net
backuprabbit[.]com
businessvideonews[.]com
cloudsponcer[.]com
datamarketplace[.]net
mobilegamerstats[.]com
snoweeanalytics[.]com
tagclick-cdn[.]com
topographyupdates[.]com
unlimitedteacup[.]com
virtuallaughing[.]com
web-trackers[.]com
growthtransport[.]com
anstv[.]netAns7tv[.]net
Safeguards for iOS users
Despite its world-class safety and privacy architecture, iOS is vulnerable to a few attacks; the following steps can be undertaken to safeguard iOS users –
Keeping Device updated
Security patches
Disabling iMessage would prevent Zero clicks exploits or the Triangulation attacks
Paying zero attention to unwanted, unsolicited messages
The user should make sure that any application they are downloading or installing; it should be from a trusted source ( This Zero click attack does not occur by any other means, It exploits / it targets software vulnerabilities in operating systems networks and applications)
Being cautious with the messaging app and emails
Implement device restrictions (management features like parental control and restrictions over using necessary applications)
Conclusion
Operation Triangulation is one of the recent operations combating cyber attacks, but such operations are launched nearly daily. This is also due to a rapid rise in internet and technology penetration across the world. Cyberattacks have taken a new face as they have evolved with the new and emerging technology. The influence of the Darknet has allowed many hackers to remain on the black hat side due to easy accessibility to illegal tools and material over the dark net, which facilitates such crimes.
Introduction
The misinformation crisis has evolved from being merely an abstract risk to a clear-cut and measurable danger to individuals, families, institutions and the whole information ecosystem. The recent death hoax with the famous actor Dharmendra is a perfect illustration of how the monster of falsehoods rises, conquers the world and does damage before the mechanisms of correction have a chance to operate. The first week of November 2025 saw the first wave of reports from different social media accounts and even some online news outlets that claimed Dharmendra had died at the age of 89. The news travelled like wildfire, causing confusion, grief and emotional suffering in large circles of fans, one could say the whole world. But then, the family came to the scene with the loudest, clearest, and most conclusive denial of them all. This case is not a one-time event. It is part of a cycle of misinformation that goes through the stages from one unverified claim to the next due to the emotional value, the virality of platforms, and the accelerating online engagement.
How One Wrong Post Can Create Worry and Fear
This kind of false news spreads fast on social media because people share emotional posts without checking the source, and automated accounts often repeat the same claim which makes it look true. Such hoaxes create fear, sadness and stress for fans, and they place sudden pressure on the family who must deal with public worry at a time when they need calm and privacy. The message shared by Hema Malini who is the wife of the actor shows how hurtful and careless misinformation can be, and it reminds everyone that even one false post can create real emotional damage for many people.
Why This Hoax Spread So Quickly
- Sensationalism Drives Engagement: Rumours regarding the passing of a public figure, particularly someone who is universally loved, cause an immediate outburst of feelings. Such news is practically taken for granted by the online public, who are very likely to share it, most of the time without checking its authenticity, which, in turn, leads to viral spread.
- Very Fast Weaving-in on social media: Social media networks are very much made for swift sharing. Long before the official sources were able to either confirm or dismiss the matter, posts, reels, and messages ripped through the networks.
- Digital Users Not Verifying Source: A large part of the audience depends on screenshots, forwards, and unverified posts for keeping up with the news. This opens a very nice environment for the spreading of hoaxes.
- Weak Verification Protocols: Although there have been measures to inform the public about misinformation, most news companies still give priority to the speed of reporting rather than its correctness, though not all the time, especially for the more entertaining and attractive topics like the health or death of famous people.
- Algorithmic Amplification Risks: The engagement is mainly driven by algorithms that bring to the surface the posts that evoke strong emotions. In a way, it is very unfair because the false or sensational claims are getting in front at the same time as the corrective updates, hence, the public is getting misled. In the absence of algorithmic safeguards, misinformation is on the rise and becoming stronger.
Best Practices For Users:
- Make sure to verify before sharing, especially if the topic is about health or death.
- Get updates by following official accounts rather than through sharing of viral forwards.
- Be aware of the emotional manipulation tactics used in misleading information.
Conclusion
The rumour surrounding Dharmendra's death is yet another example that misinformation, whether promptly corrected or not, can still inflict distress, cause loss of trust and damage to reputation. It also emphasises the need for stronger information governance, responsible digital journalism, and platform intervention mechanisms as a matter of urgency. This incident, from clicks to consequences, points to a basic truth: misinformation in the digital age is quicker to spread than facts, and the responsibility of putting a stop to it falls on all the stakeholders’ platforms, media, and users.
References
- https://timesofindia.indiatimes.com/entertainment/hindi/bollywood/news/esha-deol-and-hema-malini-dismiss-dharmendras-fake-death-news-relieved-fans-pray-for-actors-speedy-recovery-aap-jld-se-jld-apne-ghar-aye/articleshow/125242843.cms
- https://www.altnews.in/media-misreport-bollywood-actor-dharmendra-hasnt-passed-away-yet/
- https://economictimes.indiatimes.com/news/india/dharmendra-death-news-bollywoods-veeru-and-he-man-passes-away-at-89/articleshow/125238900.cms
