#FactCheck - Viral Graphic Falsely Attributes Statement on UGC to CM Yogi Adityanath

Introduction 

In the digital era, where technology is growing rapidly,  the role of Artificial Intelligence (AI) has been making its way to different corners of the world. Where nothing seems to be impossible, technology and innovation have been moving conjointly and once again, and such innovation is in the limelight with its groundbreaking initiative known as “Project Groot”, which has been announced by the AI chip leader “Nvidia”. The core of this project is the fusion of technology with AI and robotics, where a humanoid can be produced with the capability to understand the natural language and interact with it to further learn from the physical environment by observing human actions and skills. Project Groot aims to assist humans in diverse sectors such as Healthcare and so on. 

Humanoid robots are based on NVIDIA’s thor system-on-chip (SoC). The thor powers the intelligence of these robots, and the chip has been designed to handle complex tasks and ensure a safe and natural interaction between humans and robots. However, a big question arises about the ethical considerations of privacy, autonomy and the possible replacement of human workers. 

Brief Analysis 

Nvidia has announced Project GR00T, or Generalist Robot 00 Technology, which aims to create AI-powered humanoid robots with human-like understanding and movement. The project is part of Nvidia's efforts to drive breakthroughs in robotics and embodied AI, which can interact with and learn from a physical environment. The robots built on this platform are designed to understand natural language and emulate movements by observing human actions, such as coordination, dexterity, and other skills.

The model has been trained on NVIDIA GPU-accelerated simulation, enabling the robots to learn from human demonstrations with imitation learning and from the robotics platform NVIDIA Isaac Lab for reinforcement learning. This multimodal AI system acts as the mind for humanoid robots, allowing them to learn new skills and interact with the real world. Leading names in robotics, such as Figure, Boston Dynamics, Apptronik, Agility Robotics, Sanctuary AI, and Unitree, are reported to have collaborated with Nvidia to leverage GR00T.

Nvidia has also updated Isaac with Isaac Manipulator and Isaac Perceptor, which add multi-camera 3D vision. The company also unveiled a new computer, Jetson Thor, to aid humanoid robots based on NVIDIA's SoC, which is designed to handle complex tasks and ensure a safe and natural interaction between humans and robots.

Despite the potential job loss associated with humanoid robots potentially handling hazardous and repetitive tasks, many argue that they can aid humans and make their lives more comfortable rather than replacing them.

Policy Recommendations 

The Nvidia project highlights a significant development in AI Robotics, presenting a brimming potential and ethical challenges critical for the overall development and smooth assimilation of AI-driven tech in society. To ensure its smooth assimilation, a comprehensive policy framework must be put in place. This includes:

• Human First Policy - Emphasis should be on better augmentation rather than replacement. The authorities must focus on better research and development (R&D) of applications that aid in modifying human capabilities, enhancing working conditions, and playing a role in societal growth. 
• Proper Ethical Guidelines - Guidelines stressing human safety, autonomy and privacy should be established. These norms must include consent for data collection, fair use of AI in decision making and proper protocols for data security. 
• Deployment of Inclusive Technology - Access to AI Driven Robotics tech should be made available to diverse sectors of society. It is imperative to address potential algorithm bias and design flaws to avoid discrimination and promote inclusivity.
• Proper Regulatory Frameworks - It is crucial to establish regulatory frameworks to govern the smooth deployment and operation of AI-driven tech. The framework must include certification for safety and standards, frequent audits and liability protocols to address accidents. 
• Training Initiatives - Educational programs should be introduced to train the workforce for integrating AI driven robotics and their proper handling. Upskilling of the workforce should be the top priority of corporations to ensure effective integration of AI Robotics. 
• Collaborative Research Initiatives - AI and emerging technologies have a profound impact on the trajectory of human development. It is imperative to foster collaboration among governments, industry and academia to drive innovation in AI robotics responsibly and undertake collaborative initiatives to mitigate and address technical, societal, legal and ethical issues posed by AI Robots. 

Conclusion 

On the whole, Project GROOT is a significant quantum leap in the advancement of robotic technology and indeed paves the way for a future where robots can integrate seamlessly into various aspects of human lives. 

References

• https://indianexpress.com/article/explained/explained-sci-tech/what-is-nvidias-project-gr00t-impact-robotics-9225089/
• https://medium.com/paper-explanation/understanding-nvidias-project-groot-762d4246b76d
• https://www.techradar.com/pro/nvidias-project-groot-brings-the-human-robot-future-a-significant-step-closer
• https://www.barrons.com/livecoverage/nvidia-gtc-ai-conference/card/nvidia-announces-ai-model-for-humanoid-robot-development-BwT9fewMyD6XbuBrEDSp

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Disclaimer:

The information is based on claims made by threat actors and does not imply confirmation of the breach, by CyberPeace. CyberPeace includes this detail solely to provide factual transparency and does not condone any unlawful activities. This information is shared only for research purposes and to spread awareness. CyberPeace encourages individuals and organizations to adopt proactive cybersecurity measures to protect against potential threats.

🚨 Data Breach Alert ⚠️: 

Recently The Research Wing of CyberPeace and Autobot Infosec have come across a claim on a threat actor’s dark web website alleging a data breach involving 637k+ records from Federal Bank. According to the threat actor’s claim, the data allegedly includes sensitive details such as-

• 🧑‍Customer Name
• 🆔Customer ID
• 🏠 Customer Address
• 🎂 Date of Birth
• 🔢 Age
• 🚻 Gender
• 📞Mobile Number
• 🪪 PAN Number
• 🚘 Driving License Number
• 🛂 Passport Number
• 🔑 UID Number
• 🗳️ Voter ID Information

The alleged data was initially discovered on a dark web website, where the threat actors allegedly claimed to be offering the breached information for sale. Following their announcement of the breach, a portion of the data was reportedly published on December 27, 2024. A few days later, the full dataset was allegedly released on the same forum.

About the Threat Actor Group:

Bashe, a ransomware group that emerged in 2024, is claimed to have evolved from the LockBit ransomware group, previously operating under the names APT73 and Eraleig. The group employs data encryption combined with extortion tactics, threatening to release sensitive information if ransom demands are unmet. Their operations primarily target critical industries, including technology, healthcare, and finance, demonstrating a strategic focus on high-value sectors.

Breakdown of the Alleged Post by the Threat Actor:

• Target: Allegedly involves Customer’s Data of Federal Bank.
• Data Volume: Claimed breach includes 637,894 records.
• Data Fields: Threat actor claims the data contains sensitive information, including Customer name, Customer ID, Date of Birth, PAN Number, Age, Gender, Father Name, Spouse Name, Driving Licence, Passport Number, UID Number, Voter ID, District, Zip Code, Home Address, Mailing Address, State etc.

Analysis:

The analysis of the alleged data breach highlights the states purportedly most impacted, along with insights into the affected age groups, gender distribution, and other key insights associated with the compromised data. This evaluation aims to provide a clearer understanding of the claimed breach's scope and its potential demographic and geographic impact.

Top States Impacted: 

As per the alleged breached data, Tamil Nadu has the highest number of affected customers, accounting for a significant 34.49% of the total breach. Karnataka follows closely with 26.89%, indicating a substantial number of individuals affected in the state. In contrast states such as Uttar Pradesh, Haryana, Delhi, and Rajasthan report minimal impact, with each state having less than 1% of affected customers. Gujarat records 3.70% of the breach, with a sharp drop in affected numbers from other states, highlighting a significant disparity in the extent of the breach across regions.

Impacted Age Range Statistics:

The alleged data breach has predominantly impacted customers in the 31-40 years age group, which constitutes the largest segment at 35.80% of the affected individuals. Following this, the 21-30 years age group also shows significant impact, comprising 27.72% of those affected. The 41-50 years age group accounts for 20.55% of the impacted population, while individuals aged 50 and above represent 12.68%. In contrast, the 0-20 years age group is the least affected, with only 3.24% of customers falling into this category.

Gender Wise Statistics:

The alleged data breach has predominantly impacted male customers, who constitute the majority at 74.05% of the affected individuals. Female customers account for 23.18%, while a smaller segment, categorized as "Others," constitutes 2.77%.

The alleged dataset from the threat actors indicated that a significant portion of customers' personal identification data was compromised. This includes sensitive information such as driving licenses, passport numbers, UID numbers, voter IDs, and PAN numbers.

Significance of the Allegations:

Though the claims have not been independently verified at our end it underscores the rising risks of cyberattacks and data breaches, especially in the financial and banking sectors. If true, the exposure of such sensitive information could lead to financial fraud, identity theft, and severe reputational damage for individuals and organizations alike.

CyberPeace Advisory:

CyberPeace emphasizes the importance of vigilance and proactive measures to address cybersecurity risks:

• Monitor Your Accounts: Keep a close eye on financial and email accounts for any suspicious activity.
• Update Passwords: Change your passwords immediately and enable Multi Factor Authentication(MFA) wherever possible.
• Beware of Phishing Attacks: Threat actors may exploit the leaked data to craft targeted phishing scams. Do not click on unsolicited links or share sensitive details over email or phone.
• For Organizations: Strengthen data protection mechanisms, regularly audit security infrastructure, and respond swiftly to emerging threats.
• Report: For more assistance or to report cyber incidents, visit https://cybercrime.gov.in or contact our helpline team at helpline@cyberpeace.net.

We advise affected parties and the broader public to stay alert and take necessary precautions. CyberPeace remains committed to raising awareness about cybersecurity threats and advocating for better protection mechanisms. We urge all stakeholders to investigate the claims and ensure appropriate steps are taken to protect the impacted data, if the breach is confirmed. Our Research Wing is actively observing the situation and we aim to collaborate with the stakeholders and relevant agencies to mitigate the impact.

Stay Vigilant! Stay CyberPeaceful.

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‍Introduction 

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In September 2025, social media feeds were flooded with strikingly vintage saree-type portraits. These images were not taken by professional photographers, but AI-generated images. More than a million people turned to the "Nano Banana" AI tool of Google Gemini, uploading their ordinary selfies and watching them transform into Bollywood-style, cinematic, 1990s posters. The popularity of this trend is evident, as are the concerns of law enforcement agencies and cybersecurity experts regarding risks of infringement of privacy, unauthorised data sharing, and threats related to deepfake misuse.

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What is the Trend?

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This trend in AI sarees is created using Google Geminis' Nano Banana image-editing tool, editing and morphing uploaded selfies into glitzy vintage portraits in traditional Indian attire. A user would upload a clear photograph of a solo subject and enter prompts to generate images of cinematic backgrounds, flowing chiffon sarees, golden-hour ambience, and grainy film texture, reminiscent of classic Bollywood imagery. Since its launch, the tool has processed over 500 million images, with the saree trend marking one of its most popular uses. Photographs are uploaded to an AI system, which uses machine learning to alter the pictures according to the description specified. The transformed AI portraits are then shared by users on their Instagram, WhatsApp, and other social media platforms, thereby contributing to the viral nature of the trend.

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Law Enforcement Agency Warnings

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1. A few Indian police agencies have issued strong advisories against participation in such trends. IPS Officer VC Sajjanar warned the public: "The uploading of just one personal photograph can make greedy operators go from clicking their fingers to joining hands with criminals and emptying one's bank account." His advisory had further warned that sharing personal information through trending apps can lead to many scams and fraud.
2. Jalandhar Rural Police issued a comprehensive warning stating that such applications put the user at risk of identity theft and online fraud when personal pictures are uploaded. A senior police officer stated: "Once sensitive facial data is uploaded, it can be stored, analysed, and even potentially misused to open the way for cyber fraud, impersonation, and digital identity crimes.

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The Cyber Crime Police also put out warnings on social media platforms regarding how photo applications appear entertaining but can pose serious risks to user privacy. They specifically warned that selfies uploaded can lead to data misuse, deepfake creation, and the generation of fake profiles, which are punishable under Sections 66C and 66D of the IT Act 2000.

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Consequences of Such Trends

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The massification of AI photo trends has several severe effects on private users and society as a whole. Identity fraud and theft are the main issues, as uploaded biometric information can be used by hackers to generate imitated identities, evading security measures or committing financial fraud. The facial recognition information shared by means of these trends remains a digital asset that could be abused years after the trend has passed. ‘Deepfake’ production is another tremendous threat because personal images shared on AI platforms can be utilised to create non-consensual artificial media. Studies have found that more than 95,000 deepfake videos circulated online in 2023 alone, a 550% increase from 2019. The images uploaded can be leveraged to produce embarrassing or harmful content that can cause damage to personal reputation, relationships, and career prospects.

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Financial exploitation is also when fake applications in the guise of genuine AI tools strip users of their personal data and financial details. Such malicious platforms tend to look like well-known services so as to trick users into divulging sensitive information. Long-term privacy infringement also comes about due to the permanent retention and possible commercial exploitation of personal biometric information by AI firms, even when users close down their accounts.

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Privacy Risks

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A few months ago, the Ghibli trend went viral, and now this new trend has taken over. Such trends may subject users to several layers of privacy threats that go far beyond the instant gratification of taking pleasing images. Harvesting of biometric data is the most critical issue since facial recognition information posted on these sites becomes inextricably linked with user identities. Under Google's privacy policy for Gemini tools, uploaded images might be stored temporarily for processing and may be kept for longer periods if used for feedback purposes or feature development. 

Illegal data sharing happens when AI platforms provide user-uploaded content to third parties without user consent. A Mozilla Foundation study in 2023 discovered that 80% of popular AI apps had either non-transparent data policies or obscured the ability of users to opt out of data gathering. This opens up opportunities for personal photographs to be shared with anonymous entities for commercial use. Exploitation of training data includes the use of personal photos uploaded to enhance AI models without notifying or compensating users. Although Google provides users with options to turn off data sharing within privacy settings, most users are ignorant of these capabilities. Integration of cross-platform data increases privacy threats when AI applications use data from interlinked social media profiles, providing detailed user profiles that can be taken advantage of for purposeful manipulation or fraud. Inadequacy of informed consent continues to be a major problem, with users engaging in trends unaware of the entire context of sharing information. Studies show that 68% of individuals show concern regarding the misuse of AI app data, but 42% use these apps without going through the terms and conditions.

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CyberPeace Expert Recommendations

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While the Google Gemini image trend feature operates under its own terms and conditions, it is important to remember that many other tools and applications allow users to generate similar content. Not every platform can be trusted without scrutiny, so users who engage in such trends should do so only on trustworthy platforms and make reliable, informed choices. Above all, following cybersecurity best practices and digital security principles remains essential.

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Here are some best practices:-

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1.Immediate Protection Measures for User

In a nutshell, protection of personal information may begin by not uploading high-resolution personal photos into AI-based applications, especially those trained for facial recognition. Instead, a person can play with stock images or non-identifiable pictures to the degree that it satisfies the program's creative features without compromising biometric security. Strong privacy settings should exist on every social media platform and AI app by which a person can either limit access to their data, content, or anything else.

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2.Organisational Safeguards

AI governance frameworks within organisations should enumerate policies regarding the usage of AI tools by employees, particularly those concerning the upload of personal data. Companies should appropriately carry out due diligence before the adoption of an AI product made commercially available for their own use in order to ensure that such a product has its privacy and security levels as suitable as intended by the company. Training should instruct employees regarding deepfake technology.

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3.Technical Protection Strategies

Deepfake detection software should be used. These tools, which include Microsoft Video Authenticator, Intel FakeCatcher, and Sensity AI, allow real-time detection with an accuracy higher than 95%. Use blockchain-based concepts to verify content to create tamper-proof records of original digital assets so that the method of proposing deepfake content as original remains very difficult.

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4.Policy and Awareness Initiatives

For high-risk transactions, especially in banks and identity verification systems, authentication should include voice and face liveness checks to ensure the person is real and not using fake or manipulated media. Implement digital literacy programs to empower users with knowledge about AI threats, deepfake detection techniques, and safe digital practices. Companies should also liaise with law enforcement, reporting purported AI crimes, thus offering assistance in combating malicious applications of synthetic media technology.

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5.Addressing Data Transparency and Cross-Border AI Security

Regulatory systems need to be called for requiring the transparency of data policies in AI applications, along with providing the rights and choices to users regarding either Biometric data or any other data. Promotion must be given to the indigenous development of AI pertaining to India-centric privacy concerns, assuring the creation of AI models in a secure, transparent, and accountable manner. In respect of cross-border AI security concerns, there must be international cooperation for setting common standards of ethical design, production, and use of AI. With the virus-like contagiousness of AI phenomena such as saree editing trends, they portray the potential and hazards of the present-day generation of artificial intelligence. While such tools offer newer opportunities, they also pose grave privacy and security concerns, which should have been considered quite some time ago by users, organisations, and policy-makers. Through the setting up of all-around protection mechanisms and keeping an active eye on digital privacy, both individuals and institutions will reap the benefits of this AI innovation, and they shall not fall on the darker side of malicious exploitation. 

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References

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1. https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
2. https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
3. https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
4. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
5. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
6. https://socradar.io/top-10-ai-deepfake-detection-tools-2025/

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