#FactCheck: Beware of Fake Emails Distributing Fraudulent e-PAN Cards
Executive Summary:
We have identified a post addressing a scam email that falsely claims to offer a download link for an e-PAN Card. This deceptive email is designed to mislead recipients into disclosing sensitive financial information by impersonating official communication from Income Tax Department authorities. Our report aims to raise awareness about this fraudulent scheme and emphasize the importance of safeguarding personal data against such cyber threats.

Claim:
Scammers are sending fake emails, asking people to download their e-PAN cards. These emails pretend to be from government authorities like the Income Tax Department and contain harmful links that can steal personal information or infect devices with malware.
Fact Check:
Through our research, we have found that scammers are sending fake emails, posing as the Income Tax Department, to trick users into downloading e-PAN cards from unofficial links. These emails contain malicious links that can lead to phishing attacks or malware infections. Genuine e-PAN services are only available through official platforms such as the Income Tax Department's website (www.incometaxindia.gov.in) and the NSDL/UTIITSL portals. Despite repeated warnings, many individuals still fall victim to such scams. To combat this, the Income Tax Department has a dedicated page for reporting phishing attempts: Report Phishing - Income Tax India. It is crucial for users to stay cautious, verify email authenticity, and avoid clicking on suspicious links to protect their personal information.

Conclusion:
The emails currently in circulation claiming to provide e-PAN card downloads are fraudulent and should not be trusted. These deceptive messages often impersonate government authorities and contain malicious links that can result in identity theft or financial fraud. Clicking on such links may compromise sensitive personal information, putting individuals at serious risk. To ensure security, users are strongly advised to verify any such communication directly through official government websites and avoid engaging with unverified sources. Additionally, any phishing attempts should be reported to the Income Tax Department and also to the National Cyber Crime Reporting Portal to help prevent the spread of such scams. Staying vigilant and exercising caution when handling unsolicited emails is crucial in safeguarding personal and financial data.
- Claim: Fake emails claim to offer e-PAN card downloads.
- Claimed On: Social Media
- Fact Check: False and Misleading
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Introduction
In 2019 India got its bill on Data protection in the form of the Personal Data Protection Bill 2019. This bill focused on digital rights and duties pertaining to data privacy. However, the bill was scrapped by the Govt in mid-2022, and a new bill was drafted, Successor bill was introduced as the Digital Personal Data Protection Bill, 2022 on 18th November 2022, which was made open for public comments and consultations and now the bill is expected to be tabled at the parliament in the Monsoon session.
What is DPDP, 2022?
Digital Personal Data Protection Bill, is the lasted draft regulation for data privacy in India. The bill has been essentially focused towards data protection by companies and the keep aspect of Puttaswamy judgement of data privacy as a fundamental right has been upheld under the scope of the bill. The bill comes after nearly 150 recommendations which the parliamentary committee made when the PDP, 2019 was scrapped.
The bill highlights the following keen aspects-
- Data Fiduciary- The entity (an individual, company, firm, state, etc.) which decides the purpose and means of processing an individual’s personal data.
- Data Principle- The individual to whom personal data is related.
- Processing- The entire cycle of operations that can be carried out concerning personal data.
- Gender Neutrality- For the first time in India’s legislative history, “her” and “she” have been used to refer to individuals irrespective of gender.
- Right to Erase Data- Data principals will have the right to demand the erasure and correction of data collected by the data fiduciary.
- Cross-border data transfer- The bill allows cross-border data after an assessment of relevant factors by the Central Government.
- Children’s Rights- The bill guarantees the right to digital privacy under the protection of parents/guardians.
- Heavy Penalties- The bill enforces heavy penalties for non-compliance with the provisions, not exceeding Rs 500 crore.
Data Protection Board
The bill lays down provisions for setting up a Data Protection Board. This board will be an independent body acting solely on the factors of data privacy and protection of the data principles and maintaining compliance by data fiduciaries. The board will be headed by a chairperson of essential and relevant qualifications, and members and various other officials shall assist him/her under the board. The board will serve grievance redressal to the data principles and can conduct investigation, inquiry, proceeding, and pass orders equivalent to a Civil court. The proceeding will be undertaken on the principle of natural justice, and the aggrieved can file an appeal to the High Court of appropriate jurisdiction.
Global Comparison
Many countries have data protection laws that regulate the processing of personal data. Some of the notable examples include:
- European Union: The EU’s General Data Protection Regulation (GDPR) is one of the world’s most comprehensive data protection laws. It regulates public and private entities’ processing of personal data and gives individuals a wide range of rights over their personal data.
- United States: The US has several data protection laws that apply to specific sectors or types of data, such as health data (HIPAA) or financial data (Gramm-Leach-Bliley Act). However, there is no comprehensive federal data protection law in the US.
- Japan: Japan’s Personal Information Protection Act (PIPA) regulates the handling of personal data by private entities and gives individuals certain rights over their personal data.
- Australia: Australia’s Privacy Act 1988 regulates the handling of personal data by public and private entities and gives individuals certain rights over their personal data.
- Brazil: Brazil’s General Data Protection Law (LGPD) regulates the processing of personal data by public and private entities and gives individuals certain rights over their personal data. It also imposes heavy fines and penalties on entities that violate the provisions of the law.
Overall, while there are some similarities in data protection laws across countries, there are also significant differences in scope, applicability, and enforcement. It is important for organisations to understand the data protection laws that apply to their operations and take appropriate steps to comply with these laws.
Parliamentary Asscent
The case of violation of the privacy policy by WhatsApp at the Hon’ble Supreme Court resulted in a significant advocacy for Data privacy as a fundamental right, and it was held that, as suggested otherwise in the privacy policy, Whatsapp was sharing its user’s data with Meta. This massive breach of trust could have led to data mismanagement affecting thousands of Indian users. The Hon’ble Supreme Court has taken due consideration of data privacy and its challenges in India and asked the Govt to table the bill in Parliament. The bill will be tabled for discussion in the monsoon session. The Supreme Court has set up a constitutional bench to check the bill’s scope, extent and applications and provide its judicial oversight. The constitution bench of Justices KM Joseph, Ajay Rastogi, Aniruddha Bose, Hrishikesh Roy and CT Ravikumar has fixed the matter for hearing in August in order to enforce the potential changes and amendments in the act post the parliamentary discussion.
Conclusion
India is the world’s largest democracy, so the crucial aspects of passing laws and amendments have always been followed by the government and kept under check by the judiciary. The discussion over bills is a crucial part of the democratic process, and bills as important as Digital Personal Data Protection need to be discussed and analysed thoroughly in both houses of Parliament to ensure the govt passes a sustainable and efficient law.

Executive Summary
A video has gone viral on social media claiming to show a fighter pilot climbing out of his aircraft mid-flight to repair its engine before crawling back into the cockpit and resuming the mission. The footage shows the pilot closing a compartment on the aircraft's fuselage, making his way back to the cockpit, and the canopy shutting as the aircraft continues flying. According to a study by the CyberPeace Research Wing , the viral video is not authentic but AI-generated.
Claim
On August 1, an X user named "Sarah for Trump" shared the clip, claiming it showed an Iranian fighter pilot repairing his aircraft in mid-air. The post alleged that the video had been released by Iran's Revolutionary Guards to intimidate the United States and Israel. Text overlaid on the video read: "A brave maneuver by an Iranian pilot that no pilot in the world has ever performed." (At the time of publishing this story, the video had garnered 2.6 million views)
At the time this story was published, the video had received more than 2.6 million views.
https://x.com/SarahAllisonFl/status/2083589225912402201
https://archive.ph/fkW32


FactCheck
To verify the claim, we first analysed the viral video using the InVid verification tool and extracted several keyframes. A reverse image search of these frames through Google Lens led us to multiple social media posts carrying the same video with similar claims. The search also led us to an Instagram account named "viralism.ai", where the identical video had been uploaded on June 14. A comparison confirmed that the visuals matched the viral clip exactly, indicating that the Instagram upload was the original source from which the video was later circulated with a false narrative.
https://www.instagram.com/reel/DZkIrEijc89/

A review of the Instagram account further revealed that it primarily publishes AI-generated content. The account's description clearly states "AI Viral Videos and Trends," indicating that the video was created using artificial intelligence rather than depicting a real event. To further confirm our findings, we analysed the clip using the AI detection tool Hive Moderation. The results showed a high probability that the video was AI-generated, with several portions of the footage being flagged as synthetic

Conclusion
The research found that the viral video does not depict a real-life incident. The footage showing a fighter pilot allegedly repairing an aircraft engine during flight was generated using artificial intelligence and later circulated online as genuine. The accompanying claim that the video was released by Iran's Revolutionary Guards to threaten the United States and Israel is also false.

Introduction
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.
What is the Trend?
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.
Law Enforcement Agency Warnings
- 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.
- 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.
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.
Consequences of Such Trends
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.
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.
Privacy Risks
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.
CyberPeace Expert Recommendations
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.
Here are some best practices:-
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.
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.
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.
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.
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.
References
- https://www.hindustantimes.com/trending/amid-google-gemini-nano-banana-ai-trend-ips-officer-warns-people-about-online-scams-101757980904282.html%202
- https://www.moneycontrol.com/news/india/viral-banana-ai-saree-selfies-may-risk-fraud-warn-jalandhar-rural-police-13549443.html
- https://www.parliament.nsw.gov.au/researchpapers/Documents/Sexually%20explicit%20deepfakes.pdf
- https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
- https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
- https://socradar.io/top-10-ai-deepfake-detection-tools-2025/