#FactCheck - Viral image circulating on social media depicts a natural optical illusion from Epirus, Greece.
Executive Summary:
A viral image circulating on social media claims it to be a natural optical illusion from Epirus, Greece. However, upon fact-checking, it was found that the image is an AI-generated artwork created by Iranian artist Hamidreza Edalatnia using the Stable Diffusion AI tool. CyberPeace Research Team found it through reverse image search and analysis with an AI content detection tool named HIVE Detection, which indicated a 100% likelihood of AI generation. The claim of the image being a natural phenomenon from Epirus, Greece, is false, as no evidence of such optical illusions in the region was found.
Claims:
The viral image circulating on social media depicts a natural optical illusion from Epirus, Greece. Users share on X (formerly known as Twitter), YouTube Video, and Facebook. It’s spreading very fast across Social Media.
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Fact Check:
Upon receiving the Posts, the CyberPeace Research Team first checked for any Synthetic Media detection, and the Hive AI Detection tool found it to be 100% AI generated, which is proof that the Image is AI Generated. Then, we checked for the source of the image and did a reverse image search for it. We landed on similar Posts from where an Instagram account is linked, and the account of similar visuals was made by the creator named hamidreza.edalatnia. The account we landed posted a photo of similar types of visuals.
We searched for the viral image in his account, and it was confirmed that the viral image was created by this person.
The Photo was posted on 10th December, 2023 and he mentioned using AI Stable Diffusion the image was generated . Hence, the Claim made in the Viral image of the optical illusion from Epirus, Greece is Misleading.
Conclusion:
The image claiming to show a natural optical illusion in Epirus, Greece, is not genuine, and it's False. It is an artificial artwork created by Hamidreza Edalatnia, an artist from Iran, using the artificial intelligence tool Stable Diffusion. Hence the claim is false.
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Introduction
Children today are growing up amidst technology, and the internet has become an important part of their lives. The internet provides a wealth of recreational and educational options and learning environments to children, but it also presents extensively unseen difficulties, particularly in the context of deepfakes and misinformation. AI is capable of performing complex tasks in a fast time. However, misuse of AI technologies led to increasing cyber crimes. The growing nature of cyber threats can have a negative impact on children wellbeing and safety while using the Internet.
India's Digital Environment
India has one of the world's fastest-growing internet user bases, and young netizens here are getting online every passing day. The internet has now become an inseparable part of their everyday lives, be it social media or online courses. But the speed at which the digital world is evolving has raised many privacy and safety concerns increasing the chance of exposure to potentially dangerous content.
Misinformation: The raising Concern
Today, the internet is filled with various types of misinformation, and youngsters are especially vulnerable to its adverse effects. With the diversity in the language and culture in India, the spread of misinformation can have a vast negative impact on society. In particular, misinformation in education has the power to divulge young brains and create hindrances in their cognitive development.
To address this issue, it is important that parents, academia, government, industry and civil society start working together to promote digital literacy initiatives that educate children to critically analyse online material which can ease navigation in the digital realm.
DeepFakes: The Deceptive Mirage:
Deepfakes, or digitally altered videos and/or images made with the use of artificial intelligence, pose a huge internet threat. The possible ramifications of deepfake technology are concerning in India, since there is a high level of dependence on the media. Deepfakes can have far-reaching repercussions, from altering political narratives to disseminating misleading information.
Addressing the deepfake problem demands a multifaceted strategy. Media literacy programs should be integrated into the educational curriculum to assist youngsters in distinguishing between legitimate and distorted content. Furthermore, strict laws as well as technology developments are required to detect and limit the negative impact of deepfakes.
Safeguarding Children in Cyberspace
● Parental Guidance and Open Communication: Open communication and parental guidance are essential for protecting children's internet safety. It's a necessity to have open discussions about the possible consequences and appropriate internet use. Understanding the platforms and material children are consuming online, parents should actively participate in their children's online activities.
● Educational Initiatives: Comprehensive programs for digital literacy must be implemented in educational settings. Critical thinking abilities, internet etiquette, and knowledge of the risks associated with deepfakes and misinformation should all be included in these programs. Fostering a secure online environment requires giving young netizens the tools they need to question and examine digital content.
● Policies and Rules: Admitting the threats or risks posed by misuse of advanced technologies such as AI and deepfake, the Indian government is on its way to coming up with dedicated legislation to tackle the issues arising from misuse of deepfake technology by the bad actors. The government has recently come up with an advisory to social media intermediaries to identify misinformation and deepfakes and to make sure of the compliance of Information Technology (IT) Rules 2021. It is the legal obligation of online platforms to prevent the spread of misinformation and exercise due diligence or reasonable efforts are made to identify misinformation and deepfakes. Legal frameworks need to be equipped to handle the challenges posed by AI. Accountability in AI is a complex issue that requires comprehensive legal reforms. In light of various cases reported about the misuse of deepfakes and spreading such deepfake content on social media, It is advocated that there is a need to adopt and enforce strong laws to address the challenges posed by misinformation and deepfakes. Working with technological companies to implement advanced content detection tools and ensuring that law enforcement takes swift action against those who misuse technology will act as a deterrent among cyber crooks.
● Digital parenting: It is important for parents to keep up with the latest trends and digital technologies. Digital parenting includes understanding privacy settings, monitoring online activity, and using parental control tools to create a safe online environment for children.
Conclusion
As India continues to move forward digitally, protecting children in cyberspace has become a shared responsibility. By promoting digital literacy, encouraging open communication and enforcing strong laws, we can create a safer online environment for younger generations. Knowledge, understanding, and active efforts to combat misinformation and deeply entrenched myths are the keys to unlocking the safety net in the online age. Social media Intermediaries or platforms must ensure compliance under IT Rules 2021, IT Act, 2000 and the newly enacted Digital Personal Data Protection Act, 2023. It is the shared responsibility of the government, parents & teachers, users and organisations to establish safe online space for children.
References:
Introduction
On June 11, 2026, the Ministry of Home Affairs (MHA) India released one of the most critical Indian government advisories concerning cybersecurity by the Indian Cyber Crime Coordination Centre (I4C) under the National Cybercrime Threat Analytics Unit (NCTAU) concerning the immediate and escalating threat posed by the weaponization of generative artificial intelligence to forge synthetic biometric identities capable of bypassing the existing facial verification mechanisms in India. This advisory is arguably one of the most explicit Indian government recognitions of the deep-seated threats associated with AI-generated deepfakes in the country’s digital financial infrastructure. As many Indian financial service providers embrace facial recognition and biometric verification systems for customer onboarding and authentications, the myth that biometric traits are in themselves secure is slowly unraveling.
The advisory states that cybercriminals are deploying sophisticated AI tools to forge such credible digital simulacrums that exhibit such a precise similarity of facial expressions, eye movements, eye blinks, head movements, and voice patterns that they are virtually indistinguishable from the originals for identity verification mechanisms. Such a confluence of easy AI technology, mass onboarding of digital identities, and underdeveloped infrastructure to detect these synthetics requires urgent regulatory, institutional, and technological intervention.
The I4C Advisory: Core Findings and Threat Architecture
In its advisory, NCTAU describes a complex, multi-step attack chain used by scammers to capture biometric information and perpetrate fraud using everyday social interactions. The attackers typically use social media accounts, chat messengers, online job applications, dating applications, or direct phone calls to reach their targets. These interactions are presented as innocuous, such as for video calls, job interviews, identity checks, or just normal conversation with the intention of recording facial and vocal data.
During these interactions, victims may be asked to perform gestures commonly seen in legitimate video calls, such as look directly at the camera, blink, turn their head, or say specific phrases. However, the perpetrators record this video feed without the victim's knowledge and then use deep learning generative AI technologies to process it. Through methods such as Generative Adversarial Networks (GANs) and diffusion models, the scammers create photorealistic synthetic duplicates of the target, capable of mirroring all physical and vocal attributes, such as facial expressions, blinking patterns, head movements, and even voice tones.
The advisory explicitly states that these synthetic identities can be used for a variety of fraudulent activities, such as spoofing face authentication systems, circumventing liveness detection checks, successfully completing video KYC, enabling fraudulent account recovery processes, and illegally accessing bank and financial services. NCTAU also cautions that these voice deepfakes may be paired with facial deepfakes in an attempt to undermine multi-modal authentication methods, and the occurrence of related SIM-swap attacks can eliminate the last layer of security in OTP verification and facilitate a complete account compromise.
The scale of India's Digital Financial Ecosystem
The scale of I4C's detected threat can be better understood by considering India's entire digital financial landscape. In 2025 India has witnessed over 228 billion UPI transactions, with 21.63 billion in December alone, an annual growth rate of 29% from 2024, and an active user base of over 500 million by the beginning of 2026. Furthermore, total e-KYC transactions by April 2025 have exceeded 2,393 crore, and thus, it can be seen the extent to which these aspects of finance (banking, insurance, and credit) are now conducted via remote digital verification. The transformation, although instrumental in increasing financial inclusion, has, according to some analysts, created an attack surface of historic scale. As hundreds of millions more become financially integrated via the very same channels that now form the country's infrastructure and systems of identity, the threat from identity-based fraud becomes astronomically large.
Indian government data further illustrates the extent to which such frauds are a growing concern. Cybercrime cases jumped 42% year-on-year to 2.27 million in 2024, resulting in losses amounting to nearly 228.45 billion. Within that, 1.34 million UPI cases, worth 1,087 crore, occurred in FY2024 alone, while cybercrimes in general soared from 260,000 cases in 2021 to nearly 2.8 million by 2025, totaling cybercrime losses of 22,931 crore.
How Do Deepfakes Defeat Biometric Systems?
Deepfake fraud, in particular, is extremely difficult to counteract due to the direct attack it poses on the assumptions underlying traditional verification systems. Passive techniques for verifying a live person from a static photo or video existed that primarily looked for similarities in textures, lighting, and geometrical properties or challenged subjects to perform an action in real-time. But the generation of real-time face swapping that contains blinks, head motion, and speaking can now be produced on even cheap machines. Cybercriminals can exploit these by using virtual camera drivers to "inject" the false image feed into the live verification session, nullifying any passive liveness checks. Data from the industry clearly shows the extent of this problem: iProov, a leading authenticator, documented a 7.8-fold rise in injection attacks in 2024; Jumio noted an 88% increase in deepfake-induced fraud in 2025; and voice-deepfake attacks on financial call centres saw a 6.8-fold increase in 2024.
Gartner had also predicted that 30% of organizations would have lost trust in facial verification alone by 2026, and work by Kubam (2024) confirmed a lack of multi-factor authentication such as cross-validation of biometric, document, and device integrity signals used within KYC platforms. Such fears have been corroborated by FATF's 2025 Horizon Scan, which classified deepfakes as an emerging threat to the AML/CDD framework and digital identity verification.
Recommendations by I4C
I4C's advisory goes beyond merely warning about threats and lists actionable recommendations to both institutions and citizens. Banks, NBFCs, fintech companies, and onboarding platforms have been advised to incorporate advanced deepfake and synthetic content detection techniques into their verification flows, given that first-generation liveness checks are not enough. They should employ a multi-modal strategy that considers face features along with the device, network signals, behavioral biometrics, and alignment of face and voice. They also have been advised to make a more robust upgrade of their onboarding and verification platforms, as much of the current remote verification architecture was built in a less sophisticated threat context. This aligns with the KYC Master Direction of the RBI that specifies end-to-end encryption, IP-based access controls, geotagging, and technology platforms and systems are to be upgraded frequently. Citizens are advised by I4C to keep their biometric information secure; be careful of unsolicited video calls and online interviews; keep an eye on transaction-related SMS and emails; and report suspicious instances through the National Cybercrime Reporting Portal and through the telephone number 1930. It is clarified that this advisory aims to create awareness of developing AI-based identity fraud schemes, and it is not a declaration that any specific organization, platform, or service is vulnerable.
The Legislative Dimension: India's Evolving Response to Synthetic Media
The problem highlighted by I4C is evolving in a heavily legislated environment, not a legal void. The first-ever legal definition of "synthetic media" in India came into force in the Information Technology Amendment Rules 2026 on February 20, 2026. These rules oblige significant platforms to remove deepfakes and non-consensual intimate media within three hours and two hours, respectively, or lose their safe harbor protection under Section 79 of the IT Act. While the provision focuses on harm stemming from content, this creates a new legal and normative precedent on dealing with AI-induced deception. However, financial frauds facilitated through deepfakes are not content but involve the use of remote identity verification and customer onboarding systems, which require specific technical standards. The overall policy environment when viewed in light of the FATF Horizon Scan, RBI KYC rules, and recent I4C advisory already offers significant scope to define and introduce mandatory deepfake detection and identity assurance standards even before these are explicitly legislated.
Institutional and Technical Recommendations
- For Financial Institutions and Fintech platforms: The existing verification systems (liveness detection) must be replaced with multi-layered deep-fake detection processes, including injection attack detection, behavioral biometrics, cross-modal facial and voice verification, device integrity check, and hardware attestation during onboarding itself.
- For Regulators: The RBI and Ministry of Home Affairs should work together to release technical standards that specify minimum deepfake-detection requirements for video-KYC and remote onboarding systems in line with FATF digital identity guidance and the upcoming EU AI Act.
- For researchers and academia: Dedicated studies on deepfake detection performance across varied demographic, linguistic, and regional populations of India should be prioritized. Current models are mostly trained on Western data.
- For citizens: Face recordings and other biometric information should be treated with the same caution as sensitive financial details. Be wary of unsolicited video calls, remote interviews, or verification requests from unknown people, and report suspicious activities on any account immediately via the National Cybercrime Helpline (1930) or cybercrime.gov.in.
Conclusion
The I4C advisory of June 2026 marks a critical recognition that advances in generative AI have fundamentally challenged the reliability of facial biometric authentication. For a country whose digital financial ecosystem relies heavily on remote identity verification, the implications are significant. The integrity of India's financial inclusion framework now depends on rapidly strengthening identity assurance mechanisms. Addressing this threat will require coordinated action by regulators, financial institutions, technology developers, researchers, and citizens to develop robust technical standards, enhance detection capabilities, and build public awareness at a pace matching the evolution of AI-enabled fraud.
References and Sources
- I4C / NCTAU Advisory, June 2026 — National Cybercrime Threat Analytics Unit, Indian Cyber Crime Coordination Centre, Ministry of Home Affairs, Government of India. Advisory on AI-Enabled Deepfake Identity Fraud. Issued 11 June 2026.
- shuftipro.com/blog/key-takeaways-from-fatf-horizon-scan-report-on-deepfakes
- https://timesofindia.indiatimes.com/india/fraudsters-creating-deepfakes-to-bypass-facial-authentication-i4c/articleshow/131668958.cms
- hyperverge.co/blog/what-is-a-deepfake
- iproov.com/reports/threat-intelligence-report-2026
- arxiv.org/pdf/2601.06241
The more ease and dependency the internet slithers into our lives, the more obscure parasites linger on with it, menacing our privacy and data. Among these digital parasites, cyber espionage, hacking, and ransom have never failed to grab the headlines. These hostilities carried out by cyber criminals, corporate juggernauts and several state and non-state actors lend them unlimited access to the customers’ data damaging the digital fabric and wellbeing of netizens.
As technology continues to evolve, so does the need for robust safety measures. To tackle these emerging challenges, Korea based Samsung Electronics has introduced a cutting-edge security tool called Auto Blocker. Introduced in the One UI 6 Update, Auto Blocker boasts an array of additional security features, granting users the ability to customize their device's security as per their requirements Also known as ‘advanced sandbox’ or ‘Virtual Quarantine’. Sandboxing is a safety measure for separating running programs to prevent spread of digital vulnerabilities. It prohibits automatic execution of malicious code embedded in images. This shield now extends to third-party apps like WhatsApp and Facebook messenger, providing better resilience against cyber-attacks in all Samsung devices.
Matter of Choice
Dr. Seungwon Shin, EVP & Head of Security Team, Mobile eXperience Business at Samsung Electronics, emphasizes the significance of user safety. He stated “At Samsung, we constantly strive to keep our users safe from security attacks, and with the introduction of Auto Blocker, users can continue to enjoy the benefits of our open ecosystem, knowing that their mobile experience is secured.”
Auto Blocker is a matter of choice. It's not a cookie cutter solution; instead, its USP is the ability to customize security measures of your device. The Auto Blocker can be accessed through device’s setting, and is activated via toggle.
Your personal Digital Armor
One of Auto Blocker's salient features is its ability to prevent bloatware (unnecessary apps) from installing in the devices from unknown sources which is called sideloading. While sideloading provides greater scope of control and better customization, it also exposes users to potential threats, such as malicious file downloads. The proactive approach of Auto Blocker disables sideloading by default. Auto Blocker serves as an extra line of defense, especially against gruesome social engineering attacks such as voice Phishing (Vhishing). The app has an essential tool called ‘Message Guard’, engineered to combat Zero Click attacks. These complicated attacks are executed when a message containing an image is viewed.
The Auto Blocker also offers a wide variety of new controls to enhance device’s safety, including security scans to detect malwares. Additionally, Auto Blocker prevents the installation of malwares via USB cable. This ensures the device's security even when someone gains physical access to it, such as when the device is being charged in a public place.
Raising the Bar for Cyber Security
Auto Blocker testifies Samsung's unwavering commitment to the safety and privacy of its users. It acts an essential part of Samsung's security suite and privacy innovations, improving overall mobile experience within the Galaxy’s ecosystem. It provides a safer mobile experience while allowing user superior control over their device's protection. In comparison. Apple offers a more standardized approach to privacy and security with emphasis on user friendly design and closed ecosystem. Samsung disables sideloading to combat threats, while Apple is more flexible in this regard on macOS.
In this dynamic digital space, the Auto Blocker offers a tool to maintain cyber peace and resilience. It protects from a broad spectrum of digital hostilities while allowing us to embrace the new digital ecosystem crafted by Galaxy. It's a security feature that puts you in control, allowing you to determine how you fortify your digital fort to safeguard your device against digital specters like zero clicks, voice phishing (Vishing) and malware downloads
Samsung’s new product emerges as impenetrable armor shielding users against cyber hostilities. With its new customizable security feature with Galaxy Ecosystem, it allows users to exercise greater control over their digital space, promoting more secure and peaceful cyberspace.
Reference:
HT News Desk. (2023, November 1). Samsung unveils new Auto Blocker feature to protect devices. How does it work? Hindustan Times. https://www.hindustantimes.com/technology/samsung-unveils-new auto-blocker-feature to-protect-devices-how-does-it-work 101698805574773.html
