Who Controls Encrypted Conversations? The Battle Over Telegram and Digital Rights
Introduction
In June 2026, the Government of India temporarily restricted access to Telegram amid concerns that the platform had been used to facilitate examination related malpractice, including the alleged circulation of leaked question papers during the NEET UG re examination. The move reignited a familiar debate about the responsibility of digital platforms for unlawful activities carried out through them.
Critics of such restrictions raise a fundamental question: if a traffic accident occurs on a road, do we shut down the road? If theft takes place inside a shopping mall, do we close the entire mall? By the same logic, is it reasonable to block a communication platform because some individuals misuse it? These questions lie at the heart of a broader conflict between state interests in maintaining public order and the protection of digital rights, privacy, and freedom of communication in an increasingly interconnected world.
The controversy surrounding Telegram therefore extends beyond a single examination or messaging application. It raises a deeper and more pressing question: who should bear responsibility for illegal acts committed through encrypted digital platforms, and where should the law draw the line between effective enforcement and the preservation of fundamental digital freedoms?
Beyond mere communication for millions of students in India, Telegram is a classroom in the digital sense, an archive for their notes, practice papers, lecture recordings, and community groups that hundreds of millions of candidates refer to every single day. Therefore, why on a routine day in June 2026 did the messaging app top every other channel? Temporary internet restriction on the platform had become necessary to stop examination-related malpractice like leakage of question papers and was temporarily suspended, with reports suggesting that this move by the government was on the occasion of the NEET-UG re-examination.
This ban once again brings up a bigger question that cannot be contained within one particular examination. When has it become okay to hold a communication platform responsible and accountable for illegal acts committed over it? Or are the perpetrators solely to blame, and the service can be prohibited? Ultimately, where is the line drawn between public interest, law enforcement, and digital rights and privacy?
End-to-End Encryption: Architecture and Benefits
At the heart of these discussions of Telegram and other apps lies a technology referred to as "end-to-end encryption" or "E2EE." Quite literally, it means a message is locked with cryptography on the sender's device and can only be unlocked by the intended recipient. Not even the tech platform running the communication app can decipher it for everyone else; it just looks like random gibberish.
The Process
This kind of modern communication relies on public key cryptography. Each person has a public key they can share with anyone and a private key that stays only on their devices. When they send you a message, it is scrambled with crypto that can be unlocked by only your private key. WhatsApp and Signal, for example, use the Signal Protocol, which features "perfect forward secrecy" and is designed to protect communications from ever being unlocked even if one key is compromised. Telegram's approach is a bit unique. By default, Telegram messages aren't encrypted with end-to-end crypto; this only comes via an optional feature called "Secret Chats," a key difference in the regulatory debate.
The Dark Side: Crime, Misuse, and the Moderation Dilemma
The very features that make end-to-end messaging popular among everyday people are privacy, speed, anonymity, and mass reach which also make end-to-end messaging popular among criminals. That, unfortunately, is the catch for policymakers globally: The technology designed to protect innocent users is also the technology that facilitates criminal activity.
3.1 Criminal Abuse
Telegram, in particular, has frequently come under fire for its role in hosting a spectrum of criminal activities, most notably in the recent controversy in India regarding NEET-UG 2026 examination papers where channels allegedly advertised leaked question papers for enormous sums, convincing desperate candidates. In these instances, messages could be altered or deleted using Telegram’s message editing feature, fabricating evidence of prior leaks. However, this extends to illicit marketplaces, drug trafficking, financial fraud, money laundering, and distributing other prohibited content. Telegram's usage in disseminating extremist propaganda and aiding criminal organizations is also frequently cited, leading to bans or restrictions in countries ranging from Brazil to Nepal to Somalia to Vietnam.
3.2 The Moderation Dilemma
But the difficulty is not just with misuse; it’s also about effective moderation. Moderation, however, requires content transparency. Strong encryption is built to obscure just that. Many end-to-end messaging services like Signal and WhatsApp emphasize that even if they wanted to, they would have been able to decipher the content of a user’s message due to their architecture. Telegram has been in scrutiny for years due to its limited cooperation with law enforcement agencies because its default chats are not completely end-to-end encrypted, though there has been an attempt by Pavel Durov, the platform’s founder, to increase cooperation following his 2024 arrest in France.
This gives policymakers the following challenge: How can governments require increased access to fight crime without forcing tech companies to weaken security for everyone? As cryptographers point out, a specific "backdoor" intended to allow access to law enforcement officials can be easily exploited by hackers, foreign governments, and any other actor with nefarious intent.
Comparison of Regulatory Approaches Worldwide
4.1 Authoritarian Countries' Responses
China, for instance, has had the app blocked as part of its strategy to control access to the internet since 2015, and Iran did so in 2018 when the app was used to help organize protests against the government. An infamous Russian bid to block Telegram in 2018 turned into a cautionary story. Trying to censor the service disrupted the IPs of millions of computers, including significant services like those run by Amazon and Google. The move was met by a surge of users turning to VPNs to get access. It’s an expensive, disruptive, and incomplete form of censorship.
4.2 Democratic Countries' Approaches
Democratic jurisdictions generally prefer targeted interventions. Telegram was suspended in Brazil in 2022 and 2023, though again, only in response to a judge’s order in relation to particular investigations, and was lifted when it came into compliance. The EU’s approach has been to build on an established approach of regulation by use of a broader legislative framework, including the Digital Services Act and the Digital Markets Act, aimed at platform liability rather than outlawing encryption outright.
Meanwhile, the proposed scanning of encrypted communications has run into strong judicial headwinds, with the European courts stressing the danger of backdoors to privacy.
4.3 The United Kingdom Approach
The UK offers a middle way. With its Investigatory Powers Act, the government can oblige tech companies to collaborate in legitimate investigations. But this came to a head earlier this year with the case of Apple and the government's attempts to force it to unlock encrypted iCloud backups. Apple not only refused to reduce its encryption but also decided instead to disable some of its features for British users. This has created a problem for democracies across the world: how to balance access for investigators against the need to maintain the security that makes our systems safer.
Judicial and Legislative Perspectives: India and Beyond
In the Indian context, to have a perspective about the legal frameworks concerning content moderation, let’s explore some of the foundational decisions from the Supreme Court. Three decisions have laid the building block for digital rights laws: the first being Shreya Singhal v. Union of India (2015), where Section 69A of the IT Act, 2000, was upheld, but only by laying rigorous conditions on the review process and chance of challenging the said decision. Another important decision in this sphere is Justice K.S. Puttaswamy v. Union of India (2017) which stated that the right to privacy is fundamental in nature under Article 21 of the Constitution and stipulated the constitutional requirements of legality, legitimacy, and proportionality against the state’s interventions in fundamental rights. The most recent important case law to consider, in this context, would be Anuradha Bhasin v. Union of India (2020) which set certain limitations, such as any internet shut-downs or orders have to be temporary, proportional, and have scope for appeal. Further, the Supreme Court demanded transparency around any and all orders of blocking.
These principles of proportionality and legal limitations are highly pertinent to the Telegram issue, especially since Section 69A confers powers to block information in case of concerns about public order, national security, etc., but activists often cite this power to target specific content rather than entire platforms like Telegram. The ban on Telegram in June 2026 and disabling of message editing will force authorities to justify not only their statutory authority but also the need for proportionate means.
These aspects are amplified by IT Rules, 2021, which mandate that some instant messaging platforms may require identification of the ‘first originator’ of messages, and the Digital Personal Data Protection Act, 2023, to protect digital personal data by ensuring it does not undermine national security exceptions to this end.
Moreover, the use of encryption to ensure secure and private communications is becoming an important point of legal discourse globally. Recently, the European Court of Human Rights in Podchasov v. Russia (2024) held that mandating decryption on devices as a tool of investigative power constituted a disproportionate interference with an individual's right to privacy implying that while states may indeed have authority to regulate communication and digital services, any such measures limiting the scope of encryption will have to meet strict requirements of legality, necessity, and proportionality to be legally justifiable.
Constitutional Validity of the Ban
The government's case for a constitutional ban on Telegram rests upon its ability to satisfy the proportionality framework established by Puttaswamy and Anuradha Bhasin.
- Legitimate aim: The state's strong suit. This is the government's best argument. Protection of the integrity of NEET-UG, a high-stakes test with close to 2.4 million students, can indeed be a legitimate state objective. Given that there is evidence of channels that allegedly were involved in selling leaked question papers, the action is presumably justifiable under section 69A for preventing the incitement or occurrence of public disorder or preventing cognizable offenses.
- Necessity: The National Testing Agency (NTA) itself admitted that localized removal of suspicious accounts on Telegram had already mitigated the risks, while Telegram insisted that it had independently taken down numerous channels. The fact that the block affected more than 150 million users in India, where the medium is widely used for personal communication and is also utilized on other platforms like WhatsApp, Discord, and Instagram to a similar or higher extent, raises the responsibility to justify a strict platform-wide ban. Moreover, there is a significant legal question regarding the state’s authority under section 69A to direct Telegram to disable its message-editing capability.
- Proportionality and process: The block, even though it was temporary and intended to ensure fairness in the examination system, severely undermined legitimate uses of the platform by students who used it to share educational materials and organize study groups. Moreover, the opaqueness around the section 69A order is itself hard to reconcile with the transparency requirements set out in Anuradha Bhasin.
Thus, while the objectives of preventing exam fraud may be legitimate, the necessity and proportionality of single platform-wide bans remain highly suspect under Indian constitutional law.
Policy Recommendations and the Path Forward
The Telegram controversy points to the need for a better balancing act in platform governance in India. Firstly, instead of blanket platform shutdowns, action should target specific channels, bots, or URLs, as may be the case. Secondly, any attempt to dictate changes to features, such as disabling message editing, should be based on specific statutory provisions, not an expansive reading of Section 69A. Furthermore, there is a dire need for increased transparency; blocking orders must state the justification for the order, what is being blocked, and for how long, as far as possible. In the long run, stricter cross-border cooperation via streamlined MLATs, or through the appointment of local legal representatives by foreign platforms, would facilitate easier enforcement. Ultimately, all major blocking decisions must be accompanied by proportionality assessments. Lastly, India must resist pressure to provide access to encryption backdoors; while this might ease investigative burdens, doing so would severely jeopardise the cybersecurity of India, its businesses, and citizens.
Conclusion
The Telegram ban is an example of the tricky equilibrium between protection of public interest and protection of digital liberties in our hyper-connected world. While the intent to counter exam fraud is justifiable, a blanket ban on any platform has much broader implications on questions of necessity, proportionality and transparency. India has a well-developed constitutional and legal framework to deal with this issue already, and the challenge will be to see if those powers are used appropriately.
References
Cases:
- Shreya Singhal v. Union of India (2015) 5 SCC 1 — Supreme Court of India
- Justice K.S. Puttaswamy v. Union of India (2017) 10 SCC 1 — Supreme Court of India (Nine-Judge Bench)
- Anuradha Bhasin v. Union of India (2020) 3 SCC 637 — Supreme Court of India
- Podchasov v. Russia, European Court of Human Rights (Application No. 33696/19, February 2024)
- Apple Inc. v. United States (In re Search of an Apple iPhone, C.D. Cal. 2016)
- Telegram Messenger Inc. v. Union of India & Anr., Delhi High Court (June 2026) — Sub judice
Legislation & Rules:
- Information Technology Act, 2000 (India) — Sections 69A, 79
- IT (Procedure and Safeguards for Blocking Access to Information by Public) Rules, 2009
- IT (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021
- Digital Personal Data Protection Act, 2023 (India) & DPDP Rules, 2025
- EU Digital Services Act, 2022 (Regulation 2022/2065)
- EU Digital Markets Act, 2022 (Regulation 2022/1925)
- EU Child Sexual Abuse Regulation (CSAR) Proposal — In Trilogue, June 2026
- UK Investigatory Powers Act, 2016
Policy Sources:
- Internet Freedom Foundation, Statement on Telegram Block, 16 June 2026
- European Commission, ProtectEU Security Strategy, June 2025
- MeitY Section 69A Blocking Order re: Telegram (June 2026)
- NTA Press Release on NEET-UG 2026 Re-Examination, 16 June 2026
Related Blogs
.webp)
Introduction
Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration. India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres.
AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.
AI Technologies Bridging Language Gaps
AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.
AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:
- Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide.
- Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations.
- AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.
Challenges and Limitations of AI Translation
While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:
- AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions.
- These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations.
- Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others.
- Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising.
- Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.
AI’s Future in Language Translation
AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity.
AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries.
Conclusion
We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.
Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.
References
- https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
- https://pubmed.ncbi.nlm.nih.gov/38099504/
- https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
- https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education
In the vast, uncharted territories of the digital world, a sinister phenomenon is proliferating at an alarming rate. It's a world where artificial intelligence (AI) and human vulnerability intertwine in a disturbing combination, creating a shadowy realm of non-consensual pornography. This is the world of deepfake pornography, a burgeoning industry that is as lucrative as it is unsettling.
According to a recent assessment, at least 100,000 deepfake porn videos are readily available on the internet, with hundreds, if not thousands, being uploaded daily. This staggering statistic prompts a chilling question: what is driving the creation of such a vast number of fakes? Is it merely for amusement, or is there a more sinister motive at play?
Recent Trends and Developments
An investigation by India Today’s Open-Source Intelligence (OSINT) team reveals that deepfake pornography is rapidly morphing into a thriving business. AI enthusiasts, creators, and experts are extending their expertise, investors are injecting money, and even small financial companies to tech giants like Google, VISA, Mastercard, and PayPal are being misused in this dark trade. Synthetic porn has existed for years, but advances in AI and the increasing availability of technology have made it easier—and more profitable—to create and distribute non-consensual sexually explicit material. The 2023 State of Deepfake report by Home Security Heroes reveals a staggering 550% increase in the number of deepfakes compared to 2019.
What’s the Matter with Fakes?
But why should we be concerned about these fakes? The answer lies in the real-world harm they cause. India has already seen cases of extortion carried out by exploiting deepfake technology. An elderly man in UP’s Ghaziabad, for instance, was tricked into paying Rs 74,000 after receiving a deep fake video of a police officer. The situation could have been even more serious if the perpetrators had decided to create deepfake porn of the victim.
The danger is particularly severe for women. The 2023 State of Deepfake Report estimates that at least 98 percent of all deepfakes is porn and 99 percent of its victims are women. A study by Harvard University refrained from using the term “pornography” for creating, sharing, or threatening to create/share sexually explicit images and videos of a person without their consent. “It is abuse and should be understood as such,” it states.
Based on interviews of victims of deepfake porn last year, the study said 63 percent of participants talked about experiences of “sexual deepfake abuse” and reported that their sexual deepfakes had been monetised online. It also found “sexual deepfake abuse to be particularly harmful because of the fluidity and co-occurrence of online offline experiences of abuse, resulting in endless reverberations of abuse in which every aspect of the victim’s life is permanently disrupted”.
Creating deepfake porn is disturbingly easy. There are largely two types of deepfakes: one featuring faces of humans and another featuring computer-generated hyper-realistic faces of non-existing people. The first category is particularly concerning and is created by superimposing faces of real people on existing pornographic images and videos—a task made simple and easy by AI tools.
During the investigation, platforms hosting deepfake porn of stars like Jennifer Lawrence, Emma Stone, Jennifer Aniston, Aishwarya Rai, Rashmika Mandanna to TV actors and influencers like Aanchal Khurana, Ahsaas Channa, and Sonam Bajwa and Anveshi Jain were encountered. It takes a few minutes and as little as Rs 40 for a user to create a high-quality fake porn video of 15 seconds on platforms like FakeApp and FaceSwap.
The Modus Operandi
These platforms brazenly flaunt their business association and hide behind frivolous declarations such as: the content is “meant solely for entertainment” and “not intended to harm or humiliate anyone”. However, the irony of these disclaimers is not lost on anyone, especially when they host thousands of non-consensual deepfake pornography.
As fake porn content and its consumers surge, deepfake porn sites are rushing to forge collaborations with generative AI service providers and have integrated their interfaces for enhanced interoperability. The promise and potential of making quick bucks have given birth to step-by-step guides, video tutorials, and websites that offer tools and programs, recommendations, and ratings.
Nearly 90 per cent of all deepfake porn is hosted by dedicated platforms that charge for long-duration premium fake content and for creating porn—of whoever a user wants, and take requests for celebrities. To encourage them further, they enable creators to monetize their content.
One such website, Civitai, has a system in place that pays “rewards” to creators of AI models that generate “images of real people'', including ordinary people. It also enables users to post AI images, prompts, model data, and LoRA (low-rank adaptation of large language models) files used in generating the images. Model data designed for adult content is gaining great popularity on the platform, and they are not only targeting celebrities. Common people are equally susceptible.
Access to premium fake porn, like any other content, requires payment. But how can a gateway process payment for sexual content that lacks consent? It seems financial institutes and banks are not paying much attention to this legal question. During the investigation, many such websites accepting payments through services like VISA, Mastercard, and Stripe were found.
Those who have failed to register/partner with these fintech giants have found a way out. While some direct users to third-party sites, others use personal PayPal accounts to manually collect money in the personal accounts of their employees/stakeholders, which potentially violates the platform's terms of use that ban the sale of “sexually oriented digital goods or content delivered through a digital medium.”
Among others, the MakeNude.ai web app – which lets users “view any girl without clothing” in “just a single click” – has an interesting method of circumventing restrictions around the sale of non-consensual pornography. The platform has partnered with Ukraine-based Monobank and Dublin’s BetaTransfer Kassa which operates in “high-risk markets”.
BetaTransfer Kassa admits to serving “clients who have already contacted payment aggregators and received a refusal to accept payments, or aggregators stopped payments altogether after the resource was approved or completely freeze your funds”. To make payment processing easy, MakeNude.ai seems to be exploiting the donation ‘jar’ facility of Monobank, which is often used by people to donate money to Ukraine to support it in the war against Russia.
The Indian Scenario
India currently is on its way to design dedicated legislation to address issues arising out of deepfakes. Though existing general laws requiring such platforms to remove offensive content also apply to deepfake porn. However, persecution of the offender and their conviction is extremely difficult for law enforcement agencies as it is a boundaryless crime and sometimes involves several countries in the process.
A victim can register a police complaint under provisions of Section 66E and Section 66D of the IT Act, 2000. Recently enacted Digital Personal Data Protection Act, 2023 aims to protect the digital personal data of users. Recently Union Government issued an advisory to social media intermediaries to identify misinformation and deepfakes. Comprehensive law promised by Union IT minister Ashwini Vaishnav will be able to address these challenges.
Conclusion
In the end, the unsettling dance of AI and human vulnerability continues in the dark web of deepfake pornography. It's a dance that is as disturbing as it is fascinating, a dance that raises questions about the ethical use of technology, the protection of individual rights, and the responsibility of financial institutions. It's a dance that we must all be aware of, for it is a dance that affects us all.
References
- https://www.indiatoday.in/india/story/deepfake-porn-artificial-intelligence-women-fake-photos-2471855-2023-12-04
- https://www.hindustantimes.com/opinion/the-legal-net-to-trap-peddlers-of-deepfakes-101701520933515.html
- https://indianexpress.com/article/opinion/columns/with-deepfakes-getting-better-and-more-alarming-seeing-is-no-longer-believing/
Executive Summary:
A viral post currently circulating on various social media platforms claims that Reliance Jio is offering a ₹700 Holi gift to its users, accompanied by a link for individuals to claim the offer. This post has gained significant traction, with many users engaging in it in good faith, believing it to be a legitimate promotional offer. However, after careful investigation, it has been confirmed that this post is, in fact, a phishing scam designed to steal personal and financial information from unsuspecting users. This report seeks to examine the facts surrounding the viral claim, confirm its fraudulent nature, and provide recommendations to minimize the risk of falling victim to such scams.
Claim:
Reliance Jio is offering a ₹700 reward as part of a Holi promotional campaign, accessible through a shared link.
Fact Check:
Upon review, it has been verified that this claim is misleading. Reliance Jio has not provided any promo deal for Holi at this time. The Link being forwarded is considered a phishing scam to steal personal and financial user details. There are no reports of this promo offer on Jio’s official website or verified social media accounts. The URL included in the message does not end in the official Jio domain, indicating a fake website. The website requests for the personal information of individuals so that it could be used for unethical cyber crime activities. Additionally, we checked the link with the ScamAdviser website, which flagged it as suspicious and unsafe.
Conclusion:
The viral post claiming that Reliance Jio is offering a ₹700 Holi gift is a phishing scam. There is no legitimate offer from Jio, and the link provided leads to a fraudulent website designed to steal personal and financial information. Users are advised not to click on the link and to report any suspicious content. Always verify promotions through official channels to protect personal data from cybercriminal activities.
- Claim: Users can claim ₹700 by participating in Jio's Holi offer.
- Claimed On: Social Media
- Fact Check: False and Misleading
