#FactCheck: AI Video made by Pakistan which says they launched a cross-border airstrike on India's Udhampur Airbase

Introduction

A disturbing trend of courier-related cyber scams has emerged, targeting unsuspecting individuals across India. In these scams, fraudsters pose as officials from reputable organisations, such as courier companies or government departments like the narcotics bureau. Using sophisticated social engineering tactics, they deceive victims into divulging personal information and transferring money under false pretences. Recently, a woman IT professional from Mumbai fell victim to such a scam, losing Rs 1.97 lakh.

Instances of courier-related cyber scams

Recently, two significant cases of courier-related cyber scams have surfaced, illustrating the alarming prevalence of such fraudulent activities.

1. Case in Delhi: A doctor in Delhi fell victim to an online scam, resulting in a staggering loss of approximately Rs 4.47 crore. The scam involved fraudsters posing as representatives of a courier company. They informed the doctor about a seized package and requested substantial money for verification purposes. Tragically, the doctor trusted the callers and lost substantial money.
2. Case in Mumbai: In a strikingly similar incident, an IT professional from Mumbai, Maharashtra, lost Rs 1.97 lakh to cyber fraudsters pretending to be officials from the narcotics department. The fraudsters contacted the victim, claiming her Aadhaar number was linked to the criminals’ bank accounts. They coerced the victim into transferring money for verification through deceptive tactics and false evidence, resulting in a significant financial loss.

These recent cases highlight the growing threat of courier-related cyber scams and the devastating impact they can have on unsuspecting individuals. It emphasises the urgent need for increased awareness, vigilance, and preventive measures to protect oneself from falling victim to such fraudulent schemes.

Nature of the Attack

The cyber scam typically begins with a fraudulent call from someone claiming to be associated with a courier company. They inform the victim that their package is stuck or has been seized, escalating the situation by involving law enforcement agencies, such as the narcotics department. The fraudsters manipulate victims by creating a sense of urgency and fear, convincing them to download communication apps like Skype to establish credibility. Fabricated evidence and false claims trick victims into sharing personal information, including Aadhaar numbers, and coercing them to make financial transactions for verification purposes.

‍Best Practices to Stay Safe

To protect oneself from courier-related cyber scams and similar frauds, individuals should follow these best practices:

• Verify Calls and Identity: Be cautious when receiving calls from unknown numbers. Verify the caller’s identity by cross-checking with relevant authorities or organisations before sharing personal information.
• Exercise Caution with Personal Information: Avoid sharing sensitive personal information, such as Aadhaar numbers, bank account details, or passwords, over the phone or through messaging apps unless necessary and with trusted sources.
• Beware of Urgency and Threats: Scammers often create a sense of urgency or threaten legal consequences to manipulate victims. Remain vigilant and question any unexpected demands for money or personal information.
• Double-Check Suspicious Claims: If contacted by someone claiming to be from a government department or law enforcement agency, independently verify their credentials by contacting the official helpline or visiting the department’s official website.
• Educate and Spread Awareness: Share information about these scams with friends, family, and colleagues to raise awareness and collectively prevent others from falling victim to such frauds.

Legal Remedies

In case of falling victim to a courier-related cyber scam, individuals can sort to take the following legal actions:

1. File a First Information Report (FIR): In case of falling victim to a courier-related cyber scam or any similar online fraud, individuals have legal options available to seek justice and potentially recover their losses. One of the primary legal actions that can be taken is to file a First Information Report (FIR) with the local police. The following sections of Indian law may be applicable in such cases:
2. Section 419 of the Indian Penal Code (IPC): This section deals with the offence of cheating by impersonation. It states that whoever cheats by impersonating another person shall be punished with imprisonment of either description for a term which may extend to three years, or with a fine, or both.
3. Section 420 of the IPC: This section covers the offence of cheating and dishonestly inducing delivery of property. It states that whoever cheats and thereby dishonestly induces the person deceived to deliver any property shall be punished with imprisonment of either description for a term which may extend to seven years and shall also be liable to pay a fine.
4. Section 66(C) of the Information Technology (IT) Act, 2000: This section deals with the offence of identity theft. It states that whoever, fraudulently or dishonestly, makes use of the electronic signature, password, or any other unique identification feature of any other person shall be punished with imprisonment of either description for a term which may extend to three years and shall also be liable to pay a fine.
5. Section 66(D) of the IT Act, 2000 pertains to the offence of cheating by personation by using a computer resource. It states that whoever, by means of any communication device or computer resource, cheats by personating shall be punished with imprisonment of either description for a term which may extend to three years and shall also be liable to pay a fine.
6. National Cyber Crime Reporting Portal- One powerful resource available to victims is the National Cyber Crime Reporting Portal, equipped with a 24×7 helpline number, 1930. This portal serves as a centralised platform for reporting cybercrimes, including financial fraud.

Conclusion:

The rise of courier-related cyber scams demands increased vigilance from individuals to protect themselves against fraud. Heightened awareness, caution, and scepticism when dealing with unknown callers or suspicious requests are crucial. By following best practices, such as verifying identities, avoiding sharing sensitive information, and staying updated on emerging scams, individuals can minimise the risk of falling victim to these fraudulent schemes. Furthermore, spreading awareness about such scams and promoting cybersecurity education will play a vital role in creating a safer digital environment for everyone.

Executive Summary

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A video showing a massive fire in a high-rise building is being widely shared on social media. The footage shows a tall building engulfed in flames with thick smoke rising from it. Users are circulating the video with multiple claims. Some social media users claim that the video is from Tehran, Iran, where Israel allegedly carried out an attack on the headquarters of the Islamic Revolutionary Guard Corps (IRGC). Others are sharing the same video as an alleged strike by the United States Air Force on the IRGC headquarters. CyberPeace Research Wing’s research found the claim to be misleading. The video is not related to any Israeli or U.S. military strike on Iran’s IRGC. In reality, it shows a massive fire that broke out in a skyscraper in Changsha, China, in 2022.

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Claim

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On Facebook, a user shared the viral video on 3 July 2026, claiming: “Israel has carried out a massive attack on IRGC headquarters in Tehran, Iran. The headquarters has been destroyed in the strike.” The post link, archive link, and screenshots are provided below.

https://archive.ph/7BknH
https://www.facebook.com/watch/?v=1530020795436530

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Fact Check

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During verification, we extracted keyframes from the viral video and performed a reverse image search using Google Lens. The research led us to the same footage uploaded on the official YouTube channel of Hindustan Times on 16 September 2022. According to the video description, the incident shows a massive fire at a high-rise building in Changsha, China, not any military strike in Iran.

https://www.youtube.com/watch?v=Cphle9wkjCE 

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The video description states that the incident took place in a 42-storey building in Changsha, which housed the offices of the state-owned telecommunications company China Telecom. Authorities had initially confirmed that no casualties were reported. Further research led us to a report published on The Guardian website three years ago, which also contained visuals matching the viral footage.

https://www.theguardian.com/world/2022/sep/16/major-fire-breaks-out-at-skyscraper-in-changsha-china 

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According to The Guardian report, the 42-storey, 218-metre-high building was constructed in 2000 and is located near a major ring road. The report also confirmed that there were no reported fatalities in the incident.

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Conclusion

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The research clearly found that the viral video does not show an Israeli or U.S. attack on Iran’s IRGC headquarters. The footage is from a massive fire that broke out in a skyscraper in Changsha, China, in 2022. Therefore, the claim being circulated on social media is false and misleading.

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AI and other technologies are advancing rapidly. This has ensured the rapid spread of information, and even misinformation. LLMs have their advantages, but they also come with drawbacks, such as confident but inaccurate responses due to limitations in their training data. The evidence-driven retrieval systems aim to address this issue by using and incorporating factual information during response generation to prevent hallucination and retrieve accurate responses.

What is Retrieval-Augmented Response Generation?

Evidence-driven Retrieval Augmented Generation (or RAG) is an AI framework that improves the accuracy and reliability of large language models (LLMs) by grounding them in external knowledge bases. RAG systems combine the generative power of LLMs with a dynamic information retrieval mechanism. The standard AI models rely solely on pre-trained knowledge and pattern recognition to generate text. RAG pulls in credible, up-to-date information from various sources during the response generation process. RAG integrates real-time evidence retrieval with AI-based responses, combining large-scale data with reliable sources to combat misinformation. It follows the pattern of:

• Query Identification: When misinformation is detected or a query is raised.
• Evidence Retrieval: The AI searches databases for relevant, credible evidence to support or refute the claim.
• Response Generation: Using the evidence, the system generates a fact-based response that addresses the claim.

How is Evidence-Driven RAG the key to Fighting Misinformation?

• RAG systems can integrate the latest data, providing information on recent scientific discoveries.
• The retrieval mechanism allows RAG systems to pull specific, relevant information for each query, tailoring the response to a particular user’s needs.
• RAG systems can provide sources for their information, enhancing accountability and allowing users to verify claims.
• Especially for those requiring specific or specialised knowledge, RAG systems can excel where traditional models might struggle.
• By accessing a diverse range of up-to-date sources, RAG systems may offer more balanced viewpoints, unlike traditional LLMs.

Policy Implications and the Role of Regulation

With its potential to enhance content accuracy, RAG also intersects with important regulatory considerations. India has one of the largest internet user bases globally, and the challenges of managing misinformation are particularly pronounced.

• Indian regulators, such as MeitY, play a key role in guiding technology regulation. Similar to the EU's Digital Services Act, the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, mandate platforms to publish compliance reports detailing actions against misinformation. Integrating RAG systems can help ensure accurate, legally accountable content moderation. 
• Collaboration among companies, policymakers, and academia is crucial for RAG adaptation, addressing local languages and cultural nuances while safeguarding free expression. 
• Ethical considerations are vital to prevent social unrest, requiring transparency in RAG operations, including evidence retrieval and content classification. This balance can create a safer online environment while curbing misinformation.

Challenges and Limitations of RAG

While RAG holds significant promise, it has its challenges and limitations.

• Ensuring that RAG systems retrieve evidence only from trusted and credible sources is a key challenge. 
• For RAG to be effective, users must trust the system. Sceptics of content moderation may show resistance to accepting the system’s responses. 
• Generating a response too quickly may compromise the quality of the evidence while taking too long can allow misinformation to spread unchecked.

Conclusion

Evidence-driven retrieval systems, such as Retrieval-Augmented Generation, represent a pivotal advancement in the ongoing battle against misinformation. By integrating real-time data and credible sources into AI-generated responses, RAG enhances the reliability and transparency of online content moderation. It addresses the limitations of traditional AI models and aligns with regulatory frameworks aimed at maintaining digital accountability, as seen in India and globally. However, the successful deployment of RAG requires overcoming challenges related to source credibility, user trust, and response efficiency. Collaboration between technology providers, policymakers, and academic experts can foster the navigation of these to create a safer and more accurate online environment. As digital landscapes evolve, RAG systems offer a promising path forward, ensuring that technological progress is matched by a commitment to truth and informed discourse.

References

• https://experts.illinois.edu/en/publications/evidence-driven-retrieval-augmented-response-generation-for-onlin 
• https://research.ibm.com/blog/retrieval-augmented-generation-RAG 
• https://medium.com/@mpuig/rag-systems-vs-traditional-language-models-a-new-era-of-ai-powered-information-retrieval-887ec31c15a0 
• https://www.researchgate.net/publication/383701402_Web_Retrieval_Agents_for_Evidence-Based_Misinformation_Detection 

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