#FactCheck: Viral AI video being shared online claiming Iran has destroyed Tel Aviv Ben Gurion Airport in an Iranian missile strike

Introduction

Given the era of digital trust and technological innovation, the age of artificial intelligence has provided a new dimension to how people communicate and how they create and consume content. However, like all borrowed powers, the misuse of AI can lead to terrible consequences. One recent dark example was a cybercrime in Brazil: a sophisticated online scam using deepfake technology to impersonate celebrities of global stature, including supermodel Gisele Bündchen, in misleading Instagram ads. Luring in millions of reais in revenue, this crime clearly brings forth the concern of AI-generative content having rightfully set on the side of criminals. 

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Scam in Motion

Lately, the federal police of Brazil have stated that this scheme has been in circulation since 2024, when the ads were already being touted as apparently very genuine, using AI-generated video and images. The ads showed Gisele Bündchen and other celebrities endorsing skincare products, promotional giveaways, or time-limited discounts. The victims were tricked into making petty payments, mostly under 100 reais (about $19) for these fake products or were lured into paying "shipping costs" for prizes that never actually arrived.

The criminals leveraged their approach by scaling it up and focusing on minor losses accumulated from every victim, thus christening it "statistical immunity" by investigators. Victims being pocketed only a couple of dollars made most of them stay on their heels in terms of filing a complaint, thereby allowing these crooks extra limbs to shove on. Over time, authorities estimated that the group had gathered over 20 million reais ($3.9 million) in this elaborate con.

The scam was detected when a victim came forth with the information that an Instagram advertisement portraying a deepfake video of Gisele Bündchen was indeed false. With Anna looking to be Gisele and on the recommendation of a skincare company, the deepfake video was the most well-produced fake video. On going further into the matter, it became apparent that the investigations uncovered a whole network of deceptive social media pages, payment gateways, and laundering channels spread over five states in Brazil.

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The Role of AI and Deepfakes in Modern Fraud

It is one of the first few large-scale cases in Brazil where AI-generated deepfakes have been used to perpetrate financial fraud. Deepfake technology, aided by machine learning algorithms, can realistically mimic human appearance and speech and has become increasingly accessible and sophisticated. Whereas before a level of expertise and computer resources were needed, one now only requires an online tool or app. 

With criminals gaining a psychological advantage through deepfakes, the audiences would be more willing to accept the ad as being genuine as they saw a familiar and trusted face, a celebrity known for integrity and success. The human brain is wired to trust certain visual cues, making deepfakes an exploitation of this cognitive bias. Unlike phishing emails brimming with spelling and grammatical errors, deepfake videos are immersive, emotional, and visually convincing. 

This is the growing terrain: AI-enabled misinformation. From financial scams to political propaganda, manipulated media is killing trust in the digital ecosystem.

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Legalities and Platform Accountability

The Brazilian government had taken a proactive stance on the issue. In June 2025, the country's Supreme Court held that social media platforms could be held liable for failure to expeditiously remove criminal content, even in the absence of a formal order from a court. The icing on the cake is that that judgment would go a long way in architecting platform accountability in Brazil and potentially worldwide as jurisdictions adopt processes to deal with AI-generated fraud.

Meta, the parent company of Instagram, had said its policies forbid "ads that deceptively use public figures to scam people." Meta claims to use advanced detection mechanisms, trained review teams, and user tools to report violations. The persistence of such scams shows that the enforcement mechanisms still lag the pace and scale of AI-based deception.

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Why These Scams Succeed

There are many reasons for the success of these AI-powered scams.

1. Trust Due to Familiarity: Human beings tend to believe anything put forth by a known individual.
2. Micro-Fraud: Keeping the money laundered from victims small prevents any increase in the number of complaints about these crimes.
3. Speed To Create Content: New ads are being generated by criminals faster than ads can be checked for and removed by platforms via AI tools.
4. Cross-Platform Propagation: A deepfake ad is then reshared onto various other social networking platforms once it starts gaining some traction, thereby worsening the problem.
5. Absence of Public Awareness: Most users still cannot discern manipulated media, especially when high-quality deepfakes come into play.

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Wider Implications on Cybersecurity and Society

The Brazilian case is but a microcosm of a much bigger problem. With deepfake technology evolving, AI-generated deception threatens not only individuals but also institutions, markets, and democratic systems. From investment scams and fake charters to synthetic IDs for corporate fraud, the possibilities for abuse are endless.

Moreover, with generative AIs being adopted by cybercriminals, law enforcement faces obstructions to properly attributing, validating evidence, and conducting digital forensics. Determining what is actual and what is manipulated has now given rise to the need for a forensic AI model that has triggered the deployment of the opposite on the other side, the attacker, thus initiating a rising tech arms race between the two parties.

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Protecting Citizens from AI-Powered Scams

Public awareness has remained the best defence for people in such scams. Gisele Bündchen's squad encouraged members of the public to verify any advertisement through official brand or celebrity channels before engaging with said advertisements. Consumers need to be wary of offers that appear "too good to be true" and double-check the URL for authenticity before sharing any kind of personal information

Individually though, just a few acts go so far in lessening some of the risk factors:

• Verify an advertisement's origin before clicking or sharing it
• Never share any monetary or sensitive personal information through an unverifiable link
• Enable two-factor authentication on all your social accounts
• Periodically check transaction history for any unusual activity
• Report any deepfake or fraudulent advertisement immediately to the platform or cybercrime authorities

Collaboration will be the way ahead for governments and technology companies. Investing in AI-based detection systems, cooperating on international law enforcement, and building capacity for digital literacy programs will enable us to stem this rising tide of synthetic media scams.

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Conclusion

The deepfake case in Brazil with Gisele Bündchen acts as a clarion for citizens and legislators alike. This shows the evolution of cybercrime that profited off the very AI technologies that were once hailed for innovation and creativity. In this new digital frontier that society is now embracing, authenticity stands closer to manipulation, disappearing faster with each dawn.

While keeping public safety will certainly still require great cybersecurity measures in this new environment, it will demand equal contributions on vigilance, awareness, and ethical responsibility. Deepfakes are not only a technology problem but a societal one-crossing into global cooperation, media literacy, and accountability at every level throughout the entire digital ecosystem.

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Introduction

Google is committed to supporting the upcoming elections in India by providing high-quality information to voters, safeguarding platforms from abuse, and helping people navigate AI-generated content. Google will connect voters to helpful information through enhanced features, collaborating with the Election Commission of India (ECI) to provide voting information in both English and Hindi. Emphasis is also placed on showcasing authoritative information on YouTube. YouTube will highlight authoritative news sources and offer context on topics prone to misinformation. YouTube also appends information panels directing viewers to the Election Commission of India's FAQs. This support will help millions of eligible voters navigate the electoral process and ensure a fair and transparent election process.

Key Highlights of Google’s Approach

The step taken by Google will support the democratic process during the upcoming General Election in India. The initiative focuses on three main pillars: disseminating information, tackling misinformation, and navigating AI-generated content.  Google is enhancing its Search and YouTube features to provide essential election-related information, including voter registration, polling guidelines, and candidate profiles. Google is also addressing the challenges posed by AI-generated content by offering clarity on content origins, particularly for election-related ads and YouTube videos. Google has strict policies and restrictions regarding who can run election-related advertising on its platforms, including identity verification, pre-certificates, and in-ad disclosures. Additionally, Google is utilising tools and policies like Ads disclosures, content labels on YouTube, and digital watermarking to help users to identify AI-generated content.

Google has joined hands with ECI

The tech giant Google is partnering with the Election Commission of India (ECI) to provide voting information on Google Search in both English and Hindi. YouTube will feature election information panels, including candidate profiles and registration guidelines, ensuring users have access to authoritative sources. Google's recommendation system will display content from trusted publishers on election-related topics. Protecting the integrity of elections is a top priority, and the company is employing advanced AI models and machine learning techniques to identify and remove content that violates its policies at scale. A dedicated team of local experts across major Indian languages is assigned to provide relevant context and ensure swift action against emerging threats. Google is also tightening up who can advertise on its platforms, requiring advertisers to undergo an identity verification process and obtain a pre-certificate from the ECI or authorised entities for each election ad they wish to run.

Tackling Electoral Misinformation

Google is enhancing its platform security measures to prevent misinformation. It is using AI models and human expertise to identify and address policy violations, while stringent verification processes and disclosures are being implemented to maintain user trust.

Collaborations to promote reliable information

Google is supporting the Shakti, India Election Fact-Checking Collective, a consortium of news publishers and fact checkers to detect online misinformation, including deepfakes. The project will provide news entities and fact checkers with essential training in fact-checking methodologies, deepfake detection, and the latest Google tools to streamline verification processes, as stated in Google’s blog post.

Conclusion

Google has taken proactive steps to ensure a secure electoral process during the upcoming general elections in India. These include preventing the misuse of false information by helping voters navigate AI-generated content and safeguarding its platforms from abuse. Google India has built faster and more adaptable enforcement systems with recent advances in its Large Language Models (LLMs), enabling the company to remain nimble and take action quickly when new threats emerge. Google is dedicated to collaborating with government, industry, and civil society to provide voters with reliable and trustworthy online information. Google is implementing a comprehensive strategy to empower voters, safeguard its platforms, and combat misinformation in India's upcoming general elections. Google’s step is commendable and aims to ensure a secure electoral process, empowering millions of citizens to exercise their democratic rights.

References:

• https://blog.google/intl/en-in/company-news/outreach-initiatives/supporting-the-2024-indian-general-election/
• https://inc42.com/buzz/following-gemini-row-google-strengthens-checks-on-ai-generated-content-before-elections/#:~:text=In%20an%20effort%20to%20ensure,safeguarding%20its%20platforms%20from%20abuse
• https://www.indiatvnews.com/technology/news/google-introduces-enhanced-tools-for-supporting-elections-in-india-2024-03-12-921096
• https://economictimes.indiatimes.com/news/elections/lok-sabha/india/google-ties-up-with-eci-to-prevent-spread-of-false-information/articleshow/108431021.cms?from=mdr
• https://www.businesstoday.in/technology/news/story/google-joins-hands-with-election-commission-of-india-to-help-voters-via-search-youtube-421112-2024-03-12
• https://indianexpress.com/article/technology/tech-news-technology/google-2024-general-elections-support-9209588/

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Introduction

The advent of AI-driven deepfake technology has facilitated the creation of explicit counterfeit videos for sextortion purposes. There has been an alarming increase in the use of Artificial Intelligence to create fake explicit images or videos for sextortion.

What is AI Sextortion and Deepfake Technology

AI sextortion refers to the use of artificial intelligence (AI) technology, particularly deepfake algorithms, to create counterfeit explicit videos or images for the purpose of harassing, extorting, or blackmailing individuals. Deepfake technology utilises AI algorithms to manipulate or replace faces and bodies in videos, making them appear realistic and often indistinguishable from genuine footage. This enables malicious actors to create explicit content that falsely portrays individuals engaging in sexual activities, even if they never participated in such actions.

Background on the Alarming Increase in AI Sextortion Cases

Recently there has been a significant increase in AI sextortion cases. Advancements in AI and deepfake technology have made it easier for perpetrators to create highly convincing fake explicit videos or images. The algorithms behind these technologies have become more sophisticated, allowing for more seamless and realistic manipulations. And the accessibility of AI tools and resources has increased, with open-source software and cloud-based services readily available to anyone. This accessibility has lowered the barrier to entry, enabling individuals with malicious intent to exploit these technologies for sextortion purposes.

The proliferation of sharing content on social media

The proliferation of social media platforms and the widespread sharing of personal content online have provided perpetrators with a vast pool of potential victims’ images and videos. By utilising these readily available resources, perpetrators can create deepfake explicit content that closely resembles the victims, increasing the likelihood of success in their extortion schemes.

Furthermore, the anonymity and wide reach of the internet and social media platforms allow perpetrators to distribute manipulated content quickly and easily. They can target individuals specifically or upload the content to public forums and pornographic websites, amplifying the impact and humiliation experienced by victims.

What are law agencies doing?

The alarming increase in AI sextortion cases has prompted concern among law enforcement agencies, advocacy groups, and technology companies. This is high time to make strong Efforts to raise awareness about the risks of AI sextortion, develop detection and prevention tools, and strengthen legal frameworks to address these emerging threats to individuals’ privacy, safety, and well-being.

There is a need for Technological Solutions, which develops and deploys advanced AI-based detection tools to identify and flag AI-generated deepfake content on platforms and services. And collaboration with technology companies to integrate such solutions.

Collaboration with Social Media Platforms is also needed. Social media platforms and technology companies can reframe and enforce community guidelines and policies against disseminating AI-generated explicit content. And can ensure foster cooperation in developing robust content moderation systems and reporting mechanisms.

There is a need to strengthen the legal frameworks to address AI sextortion, including laws that specifically criminalise the creation, distribution, and possession of AI-generated explicit content. Ensure adequate penalties for offenders and provisions for cross-border cooperation.

Proactive measures to combat AI-driven sextortion

Prevention and Awareness: Proactive measures raise awareness about AI sextortion, helping individuals recognise risks and take precautions.

Early Detection and Reporting: Proactive measures employ advanced detection tools to identify AI-generated deepfake content early, enabling prompt intervention and support for victims.

Legal Frameworks and Regulations: Proactive measures strengthen legal frameworks to criminalise AI sextortion, facilitate cross-border cooperation, and impose offender penalties.

Technological Solutions: Proactive measures focus on developing tools and algorithms to detect and remove AI-generated explicit content, making it harder for perpetrators to carry out their schemes.

International Cooperation: Proactive measures foster collaboration among law enforcement agencies, governments, and technology companies to combat AI sextortion globally.

Support for Victims: Proactive measures provide comprehensive support services, including counselling and legal assistance, to help victims recover from emotional and psychological trauma.

Implementing these proactive measures will help create a safer digital environment for all.

Misuse of Technology

Misusing technology, particularly AI-driven deepfake technology, in the context of sextortion raises serious concerns.

Exploitation of Personal Data: Perpetrators exploit personal data and images available online, such as social media posts or captured video chats, to create AI- manipulation violates privacy rights and exploits the vulnerability of individuals who trust that their personal information will be used responsibly.

Facilitation of Extortion: AI sextortion often involves perpetrators demanding monetary payments, sexually themed images or videos, or other favours under the threat of releasing manipulated content to the public or to the victims’ friends and family. The realistic nature of deepfake technology increases the effectiveness of these extortion attempts, placing victims under significant emotional and financial pressure.

Amplification of Harm: Perpetrators use deepfake technology to create explicit videos or images that appear realistic, thereby increasing the potential for humiliation, harassment, and psychological trauma suffered by victims. The wide distribution of such content on social media platforms and pornographic websites can perpetuate victimisation and cause lasting damage to their reputation and well-being.

Targeting teenagers– Targeting teenagers and extortion demands in AI sextortion cases is a particularly alarming aspect of this issue. Teenagers are particularly vulnerable to AI sextortion due to their increased use of social media platforms for sharing personal information and images. Perpetrators exploit to manipulate and coerce them.

Erosion of Trust: Misusing AI-driven deepfake technology erodes trust in digital media and online interactions. As deepfake content becomes more convincing, it becomes increasingly challenging to distinguish between real and manipulated videos or images.

Proliferation of Pornographic Content: The misuse of AI technology in sextortion contributes to the proliferation of non-consensual pornography (also known as “revenge porn”) and the availability of explicit content featuring unsuspecting individuals. This perpetuates a culture of objectification, exploitation, and non-consensual sharing of intimate material.

Conclusion

Addressing the concern of AI sextortion requires a multi-faceted approach, including technological advancements in detection and prevention, legal frameworks to hold offenders accountable, awareness about the risks, and collaboration between technology companies, law enforcement agencies, and advocacy groups to combat this emerging threat and protect the well-being of individuals online.