#FactCheck - "Deep fake Falsely Claimed as a photo of Arvind Kejriwal welcoming Elon Musk when he visited India to discuss Delhi’s administrative policies.”

Introduction

With mobile phones at the centre of our working and personal lives, the SIM card, which was once just a plain chip that links phones with networks, has turned into a vital component of our online identity, SIM cloning has become a sneaky but powerful cyber-attack, where attackers are able to subvert multi-factor authentication (MFA), intercept sensitive messages, and empty bank accounts, frequently without the victim's immediate awareness. As threat actors are becoming more sophisticated, knowing the process, effects, and prevention of SIM cloning is essential for security professionals, telecom operators, and individuals alike.

Understanding SIM Cloning

SIM cloning is the act of making an exact copy of a victim's original SIM card. After cloning, the attacker's phone acts like the victim's, receiving calls, messages, and OTPs. This allows for a variety of cybercrimes, ranging from unauthorised financial transactions to social media account hijacking. The attacker virtually impersonates the victim, often leading to disastrous outcomes.

The cloning can be executed through various means:

● Phishing or Social Engineering: The attack compels the victim or a mobile carrier into divulging personal information or requesting a replacement SIM.

● SIM Swap Requests: Attackers use fake IDs or stolen credentials to make telecom providers port the victim's number to a new SIM.

● SS7 Protocol Exploitation: Certain sophisticated attacks target weaknesses in the Signalling System No. 7 (SS7) protocol employed by cellular networks to communicate.

● Hardware based SIM Cloning: Although uncommon, experienced attackers will clone SIMs through the use of specialized hardware and malware that steals authentication keys.

The Real-World Consequences

The harm inflicted by SIM cloning is systemic as well as personal. The victims are deprived of their phones and online accounts, realising the breach only when improper dealings or login attempts have occurred. The FBI reported over $50 million loss in 2023 from crimes associated with SIM, most of which involved cryptocurrency account and high net-worth persons.

Closer to home, Indian entrepreneurs, journalists, and fintech users have reported losing access to their numbers, only to have their WhatsApp, UPI, and banking apps taken over. In a few instances, the attackers even contacted contacts, posing as the victim to scam others.

Why the Threat Is Growing

Dependence on SMS-based OTPs is still a core vulnerability. Even as there are attempts to move towards app-based two-factor authentication (2FA), most banking, government, and e-commerce websites continue to employ SMS as their main authentication method. This reliance provides an entry point for attackers who can replicate a SIM and obtain OTPs without detection.

Vulnerabilities in telecom infrastructure are also a part of the issue. Insider attacks at telecom operators, where malicious employees handle fraud SIM swap requests, also keep cropping up. On top of that, most users are not even aware of what exactly SIM cloning is or how to identify it, leaving attackers with a head start.

Very often, the victims are only aware that their SIM has been cloned when they lose mobile service or notice unusual activity on their accounts. Red flags include loss of signal, failure to send or receive messages, and inability to receive OTPs. Alerts on password changes or unusual login attempts must never be taken lightly, particularly if this is coupled with loss of mobile service.

How Users Can Protect Themselves

● Use A Strong SIM Pin: This protects your SIM from access by unauthorized users should your phone be lost or stolen.

● Secure Personal Information: Don't post sensitive personal information online that can have a place in social engineering.

● Notify your Carrier of Suspicious Activity: If your phone suddenly has lost service or is behaving strangely, contact your mobile operator immediately.

● Register for Telecom Alerts: Many providers offer alerts to SIM swap or porting requests that are useful to preliminarily detect a possible takeover.

● Verify SIM card status using Sanchar Saathi: Visit [https://sancharsaathi.gov.in](https://sancharsaathi.gov.in) to check how many mobile numbers are issued using your ID. This government portal allows you to identify unauthorized or unknown SIM cards, helping prevent SIM swapping fraud. You can also request to block suspicious numbers linked to your identity.

Conclusion

SIM cloning is not a retrograde nod to vintage cybercrime; it's an effective method of exploitation, especially where there's a strong presence of SMS-based authentication. The attack vector is simple, but the damage it causes can be profound, both financial and reputational. With telecommunication networks forming the backbone of digital identity, users, regulators, and telecom service providers have to move in tandem. For the users, awareness is the best protection. For Telecoms, security must be a baseline requirement, not a value-add option. It's time to redefine mobile security, before your identity is in anyone else's hands.

References

● https://www.trai.gov.in/faqcategory/mobile-number-portability

● https://www.cert-in.org.in/PDF/Digital_Threat_Report_2024.pdf

● https://www.ic3.gov/PSA/2022/PSA220208/

● https://www.hdfcbank.com/personal/useful-links/security/beware-of-fraud/sim-swap

● https://security-gen.com/SecurityGen-Article-Cloning-SimCard.pdf

● https://www.p1sec.com/blog/understanding-ss7-attacks-vulnerabilities-impacts-and-protection-measures

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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

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A video featuring Union Defence Minister Rajnath Singh is being widely circulated on social media with the claim that he issued a strict warning against student protesters. In the viral clip, Singh is allegedly heard saying that the government would not tolerate “anarchy” and that strict action would be taken against those blocking roads, disturbing public order, or damaging government property. CyberPeace Research Wing’s research found the claim to be false. The research revealed that the original video available on Rajnath Singh’s official YouTube channel was digitally altered by adding AI-generated audio. The statement heard in the viral video is not genuine and was created using artificial intelligence.

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Claim:

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An account on social media platform X (formerly Twitter), with the username @ForumDefence, shared a video on July 22, 2026, claiming that Union Defence Minister Rajnath Singh had issued a warning regarding the ongoing student protest. The video features an AI-generated voice attributed to Rajnath Singh, in which he is allegedly heard saying: “Taking advantage of the student movement, the unrest and violence being spread over the past few days are strongly condemned by the government. Expressing one’s views is a democratic right, but breaking the law and creating difficulties for the public in its name will not be tolerated. The government will not tolerate such anarchy. Anyone attempting to block roads, disturb peace, or damage government property will face strict action.”

The link, archive link and screenshot of the post are provided below:

https://x.com/ForumDefence/status/2079960247888756775

https://archive.ph/2DkSj

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Fact Check:

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To verify the viral claim, the Desk conducted a keyword search on Google. However, no credible news report or official statement was found confirming that Rajnath Singh had made such remarks regarding the student protest.

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During further research, the Desk found the original video on the official YouTube channel of Union Defence Minister Rajnath Singh. A comparison between the viral clip and the original video showed that the statements attributed to Singh in the viral video did not match his actual remarks. In the original video, Rajnath Singh was speaking about the ongoing protests in Delhi. He said that the protests were a matter of serious concern and expressed that it was unfortunate that some people were attempting to use students and youth as a political tool for their own interests.

He further stated that the government was committed to addressing the concerns of students and youth, and that dialogue and discussion were the appropriate ways to resolve issues in a democracy.

The original video from Rajnath Singh’s official YouTube channel can be accessed here:

https://www.youtube.com/watch?v=w73iPTEfKCA

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Further analysis of the viral video’s audio was conducted using the AI detection tool Resemble AI. The analysis indicated that the audio had a 99.10 per cent probability of being AI-generated.

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The Desk also examined the viral video using the AI detection tool HIVE Moderation. The analysis suggested that the speech used in the video had an 88.1 per cent probability of being AI-generated.

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Conclusion:

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The research established that the viral video featuring Union Defence Minister Rajnath Singh has been digitally manipulated by adding AI-generated audio. The statement attributed to Singh regarding strict action against student protesters is not genuine. The original video available on Rajnath Singh’s official YouTube channel contains different remarks, and the viral clip has been circulated with a false and misleading claim.

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