#FactCheck: Fake Claim that US has used Indian Airspace to attack Iran

Executive Summary:

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Recently, we came upon some AI-generated deep fake videos that have gone viral on social media, purporting to show Indian political figures Prime Minister Narendra Modi, Home Minister Amit Shah, and External Affairs Minister Dr. S. Jaishankar apologizing in public for initiating "Operation Sindoor." The videos are fake and use artificial intelligence tools to mimic the leaders' voices and appearances, as concluded by our research. The purpose of this report is to provide a clear understanding of the facts and to reveal the truth behind these viral videos.

Claim:

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Multiple videos circulating on social media claim to show Prime Minister Narendra Modi, Central Home Minister Amit Shah, and External Affairs Minister Dr. S. Jaishankar publicly apologised for launching "Operation Sindoor." The videos, which are being circulated to suggest a political and diplomatic failure, feature the leaders speaking passionately and expressing regret over the operation.

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Fact Check:

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Our research revealed that the widely shared videos were deepfakes made with artificial intelligence tools. Following the 22 April 2025 Pahalgam terror attack, after “Operation Sindoor”, which was held by the Indian Armed Forces, this video emerged, intending to spread false propaganda and misinformation. 

Finding important frames and visual clues from the videos that seemed suspicious, such as strange lip movements, misaligned audio, and facial distortions, was the first step in the fact-checking process. By putting audio samples and video frames in Hive AI Content Moderation, a program for detecting AI-generated content. After examining audio, facial, and visual cues, Hive's deepfake detection system verified that all three of the videos were artificial intelligence (AI) produced.

Below are three Hive Moderator result screenshots that clearly flag the videos as synthetic content, confirming that none of them are authentic or released by any official government source.

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Conclusion:

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The artificial intelligence-generated videos that claim Prime Minister Narendra Modi, Home Minister Amit Shah, and External Affairs Minister Dr. S. Jaishankar apologized for the start of "Operation Sindoor" are completely untrue. A purposeful disinformation campaign to mislead the public and incite political unrest includes these deepfake videos. No such apology has been made by the Indian government, and the operation in question does not exist in any official or verified capacity. The public must exercise caution, avoid disseminating videos that have not been verified, and rely on reliable fact-checking websites. Such disinformation can seriously affect national discourse and security in addition to eroding public trust.

• Claim: India's top executives apologize publicly for Operation Sindoor blunder.
• Claimed On: Social Media
• ‍Fact Check: AI Misleads

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Artificial Intelligence (AI) provides a varied range of services and continues to catch intrigue and experimentation. It has altered how we create and consume content. Specific prompts can now be used to create desired images enhancing experiences of storytelling and even education. However, as this content can influence public perception, its potential to cause misinformation must be noted as well. The realistic nature of the images can make it hard to discern as artificially generated by the untrained eye. As AI operates by analysing the data it was trained on previously to deliver, the lack of contextual knowledge and human biases (while framing prompts) also come into play. The stakes are higher whilst dabbling with subjects such as history, as there is a fine line between the creation of content with the intent of mere entertainment and the spread of misinformation owing to biases and lack of veracity left unchecked. AI-generated images enhance storytelling but can also spread misinformation, especially in historical contexts. For instance, an AI-generated image of London during the Black Death might include inaccurate details, misleading viewers about the past.

The Rise of AI-Generated Historical Images as Entertainment

Recently, generated images and videos of various historical instances along with the point of view of the people present have been floating all over the internet. Some of them include the streets of London during the Black Death in the 1300s in England, the eruption of Mount Vesuvius at Pompeii etc. Hogne and Dan, two creators who operate accounts named POV Lab and Time Traveller POV on TikTok state that they create such videos as they feel that seeing the past through a first-person perspective is an interesting way to bring history back to life while highlighting the cool parts, helping the audience learn something new. Mostly sensationalised for visual impact and storytelling, such content has been called out by historians for inconsistencies with respect to details particular of the time. Presently, artists admit to their creations being inaccurate, reasoning them to be more of an artistic interpretation than fact-checked documentaries. 

It is important to note that AI models may inaccurately depict objects (issues with lateral inversion), people(anatomical implausibilities), or scenes due to "present-ist" bias. As noted by Lauren Tilton, an associate professor of digital humanities at the University of Richmond, many AI models primarily rely on data from the last 15 years, making them prone to modern-day distortions especially when analysing and creating historical content. The idea is to spark interest rather than replace genuine historical facts while it is assumed that engagement with these images and videos is partly a product of the fascination with upcoming AI tools. Apart from this, there are also chatbots like Hello History and Charater.ai which enable simulations of interacting with historical figures that have piqued curiosity.

Although it makes for an interesting perspective, one cannot ignore that our inherent biases play a role in how we perceive the information presented. Dangerous consequences include feeding into conspiracy theories and the erasure of facts as information is geared particularly toward garnering attention and providing entertainment. Furthermore, exposure of such content to an impressionable audience with a lesser attention span increases the gravity of the matter. In such cases, information regarding the sources used for creation becomes an important factor.

Acknowledging the risks posed by AI-generated images and their susceptibility to create misinformation, the Government of Spain has taken a step in regulating the AI content created. It has passed a bill (for regulating AI-Generated content) that mandates the labelling of AI-generated images and failure to do so would warrant massive fines (up to $38 million or 7% of turnover on companies). The idea is to ensure that content creators label their content which would help to spot images that are artificially created from those that are not.

The Way Forward: Navigating AI and Misinformation

While AI-generated images make for exciting possibilities for storytelling and enabling intrigue, their potential to spread misinformation should not be overlooked. To address these challenges, certain measures should be encouraged.

1. Media Literacy and Awareness – In this day and age critical thinking and media literacy among consumers of content is imperative. Awareness, understanding, and access to tools that aid in detecting AI-generated content can prove to be helpful.
2. AI Transparency and Labeling – Implementing regulations similar to Spain’s bill on labelling content could be a guiding crutch for people who have yet to learn to tell apart AI-generated content from others.
3. Ethical AI Development – AI developers must prioritize ethical considerations in training using diverse and historically accurate datasets and sources which would minimise biases.

As AI continues to evolve, balancing innovation with responsibility is essential. By taking proactive measures in the early stages, we can harness AI's potential while safeguarding the integrity and trust of the sources while generating images.

References:

• https://www.npr.org/2023/06/07/1180768459/how-to-identify-ai-generated-deepfake-images
• https://www.nbcnews.com/tech/tech-news/ai-image-misinformation-surged-google-research-finds-rcna154333
• https://www.bbc.com/news/articles/cy87076pdw3o
• https://newskarnataka.com/technology/government-releases-guide-to-help-citizens-identify-ai-generated-images/21052024/
• https://www.technologyreview.com/2023/04/11/1071104/ai-helping-historians-analyze-past/
• https://www.psypost.org/ai-models-struggle-with-expert-level-global-history-knowledge/
• https://www.youtube.com/watch?v=M65IYIWlqes&t=2597s
• https://www.vice.com/en/article/people-are-creating-records-of-fake-historical-events-using-ai/?utm_source=chatgpt.com
• https://www.reuters.com/technology/artificial-intelligence/spain-impose-massive-fines-not-labelling-ai-generated-content-2025-03-11/?utm_source=chatgpt.com
• https://www.theguardian.com/film/2024/sep/13/documentary-ai-guidelines?utm_source=chatgpt.com

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Introduction

You must have heard of several techniques of cybercrime up to this point. Many of which we could never have anticipated. Some of these reports are coming from different parts of the country. Where video calls are being utilised to cheat. Through video calls, cybercriminals are making individuals victims of fraud. During this incident, fraudsters film pornographic recordings of both the victims using a screen recorder, then blackmail them by emailing these videos and demanding money. However, cybercriminals are improving their strategies to defraud more people. In this blog post, we will explore the tactics involved in this case, the psychological impact, and ways to combat it. Before we know more about the case, let’s have a look at deep fake, AI, and Sextortion and how fraudsters use technology to commit crimes.

Understanding Deepfake

Deepfake technology is the manipulation or fabrication of multimedia information such as videos, photos, or audio recordings using artificial intelligence (AI) algorithms, and profound learning models. These algorithms process massive quantities of data to learn and imitate human-like behaviour, allowing for very realistic synthetic media development.

Individuals with malicious intent may change facial expressions, bodily movements, and even voices in recordings using deepfake technology, basically replacing a person’s appearance with someone else’s. The produced film can be practically indistinguishable from authentic footage, making it difficult for viewers to distinguish between the two.

Sextortion and technology

Sextortion is a sort of internet blackmail in which offenders use graphic or compromising content to compel others into offering money, sexual favours, or other concessions. This information is usually gained by hacking, social engineering, or tricking people into providing sensitive information.

Deepfake technology combined with sextortion techniques has increased the impact on victims. Deepfakes may now be used by perpetrators to make and distribute pornographic or compromising movies or photographs that seem genuine but are completely fake. As the prospect of discovery grows increasingly credible and tougher to rebut, the stakes for victims rise.

Cyber crooks Deceive

In this present case, cyber thugs first make video calls to people and capture the footage. They then twist the footage and merge it with a distorted naked video. As a result, the victim is obliged to conceal the case. Following that, “they demand money as a ransom to stop releasing the doctored video on the victim’s contacts and social media platforms.” In this case, a video has emerged in which a lady who was supposedly featured in the first film is depicted committing herself because of the shame caused by the video’s release. These extra threats are merely intended to inflict psychological pressure and coercion on the victims.

Sextortionists have reached a new low by profiting from the misfortunes of others, notably targeting deceased victims. The offenders want to maximise emotional pain and persuade the victim into acquiescence by generating deep fake films depicting these persons. They use the inherent compassion and emotion connected with tragedy to exact bigger ransoms from their victims.

This distressing exploitation not only adds urgency to the extortion demands but also preys on the victim’s sensitivity and emotional instability. They even pressurize the victim by impersonating them, and if the demands are fulfilled, the victims may land up in jail.

Tactics used

The morphed death videos are precisely constructed to heighten emotional discomfort and instil terror in the targeted individual. By editing photographs or videos of the deceased, the offenders create unsettling circumstances that heighten the victim’s emotional response.

The psychological manipulation seeks to instil guilt, regret, and a sense of responsibility in the victim. The notion that they are somehow linked to the catastrophe increases their emotional weakness, making them more vulnerable to the demands of sextortionists. The offenders take use of these emotions, coercing victims into cooperation out of fear of being involved in the apparent tragedy.

The impact on the victim’s mental well-being cannot be overstated. They may experience intense psychological trauma, including anxiety, depression, and post-traumatic stress disorder (PTSD). The guilt and shame associated with the false belief of being linked to someone’s death can have long-lasting effects on their emotional health and overall quality of life, others may have trust issues.

Law enforcement agencies advised

Law enforcement organisations were concerned about the growing annoyance of these illegal acts. The use of deep fake methods or other AI technologies to make convincing morphing films demonstrates scammers’ improved ability. These tools are fully capable of modifying digital information in ways that are radically different from the genuine film, making it difficult for victims to detect the fake nature of the video.

Defence strategies to fight back: To combat sextortion, a proactive approach that empowers individuals and utilizes resources is required. This section delves into crucial anti-sextortion techniques such as reporting events, preserving evidence, raising awareness, and implementing digital security measures.

• Report the Incident: Sextortion victims should immediately notify law enforcement. Contact your local police or cybercrime department and supply them with any important information, including specifics of the extortion attempt, communication logs, and any other evidence that can assist in the investigation. Reporting the occurrence is critical for keeping criminals responsible and averting additional harm to others.
• Preserve Evidence: Preserving evidence is critical in creating a solid case against sextortionists. Save and document any types of contact connected to the extortion, including text messages, emails, and social media conversations. Take screenshots, record phone calls (if legal), and save any other digital material or papers that might be used as evidence. This evidence can be useful in investigations and judicial processes.

Digital security: Implementing comprehensive digital security measures can considerably lower the vulnerability to sextortion assaults. Some important measures that one can use:

• Use unique, complicated passwords for all online accounts, and avoid reusing passwords across platforms. Consider utilising password managers to securely store and create strong passwords.
• Enable two-factor authentication (2FA) whenever possible, which adds an extra layer of protection by requiring a second verification step, such as a code delivered to your phone or email, in addition to the password.
• Regular software updates: Keep your operating system, antivirus software, and programmes up to date. Security patches are frequently included in software upgrades to defend against known vulnerabilities.
• Adjust your privacy settings on social networking platforms and other online accounts to limit the availability of personal information and restrict access to your content.
• Be cautious when clicking on links or downloading files from unfamiliar or suspect sources. When exchanging personal information online, only use trusted websites.

Conclusion:

Combating sextortion demands a collaborative effort that combines proactive tactics and resources to confront this damaging practice. Individuals may actively fight back against sextortion by reporting incidences, preserving evidence, raising awareness, and implementing digital security measures. It is critical to empower victims, encourage their rehabilitation, and collaborate to build a safer online environment where sextortionists are held accountable and everyone can navigate the digital environment with confidence.