#FactCheck- AI-Generated Video Falsely Claims Iran Shot Down US F-35 Fighter Jet

Introduction
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" सर्वे भवन्तु सुखिनः, सर्वे सन्तु निरामयाः " May all be happy, may all be free from suffering. This timeless invocation reflects a vision of collective well-being, where progress is meaningful only when shared, and protection extends to every individual in society. This very philosophy lies at the heart of Corporate Social Responsibility, which seeks to ensure that growth is not isolated or unequal, but inclusive, ethical, and mindful of the broader social good.  

At its core, Corporate Social Responsibility is not merely a statutory obligation, it is a reflection of a deeper ethical commitment, an acknowledgement that growth must carry with it a sense of duty towards society. In many ways, CSR embodies the idea that progress without responsibility is incomplete, and that corporations, as key actors shaping modern life, must help safeguard the very communities they engage with.
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Reframing Digital Literacy Through Cyber Safety in CSR Frameworks
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In India, this moral vision has been given a legal structure under the Companies Act, 2013, CSR Schedule VII, which mandates certain classes of companies to allocate a portion of their profits towards socially beneficial activities. Section 135 of the Act requires companies meeting specified financial thresholds to undertake CSR initiatives, guided by principles of inclusivity, sustainability, and social welfare. The underlying values are clear, CSR is intended not as charity, but as a strategic and accountable contribution to societal development.

Schedule VII of the Act further outlines the broad areas that qualify as CSR, including “Education and Digital Literacy”, gender equality, rural development, and measures for reducing inequalities. Within this framework, promoting “digital literacy” has increasingly been recognised as a legitimate and necessary CSR activity, especially in the context of a rapidly digitising society like India.

However, the current understanding of digital literacy within CSR remains incomplete. It often emphasises access and usage, teaching individuals how to navigate digital platforms, use devices, and engage with online services. What remains insufficiently addressed is the question of safety. In an environment where cyber fraud, data breaches, online harassment, and identity theft are becoming increasingly common, digital literacy without cyber awareness risks becoming a partial and potentially harmful intervention.

Embedding cyber awareness and capacity building within ‘digital literacy’ in explicit form is therefore not optional, it is essential. This includes equipping individuals with the ability to recognise online threats, protect personal data, understand digital consent, and respond effectively to cyber risks. It also requires recognising that vulnerable populations, including first-time internet users, women, and marginalised communities, often face disproportionate exposure to cyber harm.

“It is pertinent to note that Cybersecurity awareness training is relevant to CSR but is not yet consistently implemented as an explicit CSR activity. It is often included indirectly within digital literacy programs, highlighting the need for a more structured, progressive and integrated approach.”

Given this reality, there is a strong case for explicitly recognising cyber awareness as a distinct and integral component of CSR activities, rather than treating it as an implicit subset of digital literacy. Doing so would not only align CSR with contemporary societal risks but also ensure that corporate interventions move beyond enabling access to actively ensuring safety.

In a digital society, empowerment without protection is incomplete. If CSR is to truly reflect its foundational values, it must evolve to address not just the opportunities of the digital age, but also its risks.
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Why Cyber Safety Must Be Central to CSR
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The current state of digital ecosystems, which used to operate as secondary systems, now functions as essential systems that support government operations, banking systems, educational institutions, and social communication. The digital environment has its vulnerabilities, which create direct dangers for people in society. The elderly, first-time internet users, and rural communities face higher cyber threat risks because they often lack knowledge and protective resources on responsible use. The implementation of CSR initiatives that provide digital access to these groups, along with how to handle risks, will create greater benefit for their safety. Organisations must encourage the implementation of cyber safety training in their CSR programs because doing so will create value while fulfilling their ethical obligations. The empowerment process needs to achieve complete success, which protects people from any potential dangers according to the "do no harm" principle.
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Key Components of CyberPeace-Aligned Digital Literacy
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To make CSR initiatives more effective and future-ready, organisations should incorporate the following elements into their digital literacy programs:

1. Cyber Awareness and Risk Recognition: The training program teaches participants how to recognise typical security threats, which include phishing attacks and scams, deepfake technology and misinformation.
2. Data Protection and Privacy Literacy: The program teaches users how to protect their personal information, together with the process of giving consent and the methods used to handle their online presence. 
3. Responsible Digital Behaviour: The program teaches people how to use the internet responsibly by showing them how to make ethical decisions that require both respect and accountability while understanding the legal consequences of their actions. 
4. Incident Response and Reporting Mechanisms: The program teaches users about cyber incident response, which includes all reporting methods and available support resources. 
5. Inclusion-Focused Design: The program develops specific solutions which protect various demographic groups from their particular vulnerabilities while maintaining accessibility and essential programmatic relevance.

Policy and Institutional Alignment
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The integration of cyber safety into corporate social responsibility lets organisations achieve their national objectives, which include:

• Strengthening digital trust and resilience
• Supporting safe digital inclusion initiatives
• Complementing the efforts of institutions working on cybersecurity awareness and capacity building

The structured approach requires organisations to execute three specific steps, which include:

• Partnering with cybersecurity organisations and civil society
• Developing standardised cyber awareness modules
• The organisation will use behavioural change indicators to evaluate its impact instead of relying on access metrics.

The Way Forward
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Digital-era Corporate Social Responsibility needs to transition from its present state of providing access to digital resources toward establishing secure online platforms for users. The understanding of digital literacy needs to shift from its current status as a technical ability toward its new definition as a social competency that encompasses safety, responsibility and resilience training.

Companies need to understand their digital transformation obligations because their digital transformation efforts require them to handle all associated risks. The implementation of cyber safety within corporate social responsibility frameworks will enable organisations to develop a secure and trustworthy digital environment that includes all users.

Conclusion
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The implementation of corporate social responsibility needs to fulfil its core mission of creating societal benefits through inclusive practices that span all current digital possibilities and their associated security threats. The field of digital literacy requires a new framework that combines digital safety practices with its existing educational materials.

The digital safety practice ensures that people obtain essential knowledge and skills that enable them to use digital resources securely when they access online content. The process of accomplishing shared community prosperity needs to establish a framework that benefits every person through social advancement and the protection of their rights.
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References
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• https://upload.indiacode.nic.in/schedulefile?aid=AC_CEN_22_29_00008_201318_1517807327856&rid=79
• https://www.allresearchjournal.com/archives/2025/vol11issue4/PartF/11-5-60-511.pdf
• https://www.unesco.org/en/dtc-finance-toolkit-factsheets/corporate-social-responsibility-csr
• https://www.investopedia.com/terms/c/corp-social-responsibility.asp
• https://digitalmarketinginstitute.com/blog/corporate-16-brands-doing-corporate-social-responsibility-successfully
• https://www.imd.org/blog/sustainability/csr-strategy/

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Introduction

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Artificial Intelligence (AI) is fast transforming our future in the digital world, transforming healthcare, finance, education, and cybersecurity. But alongside this technology, bad actors are also weaponising it. More and more, state-sponsored cyber actors are misusing AI tools such as ChatGPT and other generative models to automate disinformation, enable cyberattacks, and speed up social engineering operations. This write-up explores why and how AI, in the form of large language models (LLMs), is being exploited in cyber operations associated with adversarial states, and the necessity for international vigilance, regulation, and AI safety guidelines.

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The Shift: AI as a Cyber Weapon

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State-sponsored threat actors are misusing tools such as ChatGPT to turbocharge their cyber arsenal.

• Phishing Campaigns using AI- Generative AI allows for highly convincing and grammatically correct phishing emails. Unlike the shoddily written scams of yesteryears, these AI-based messages are tailored according to the victim's location, language, and professional background, increasing the attack success rate considerably. Example: It has recently been reported by OpenAI and Microsoft that Russian and North Korean APTs have employed LLMs to create customised phishing baits and malware obfuscation notes.
  
  
• Malware Obfuscation and Script Generation- Big Language Models (LLMs) such as ChatGPT may be used by cyber attackers to help write, debug, and camouflage malicious scripts. While the majority of AI instruments contain safety mechanisms to guard against abuse, threat actors often exploit "jailbreaking" to evade these protections. Once such constraints are lifted, the model can be utilised to develop polymorphic malware that alters its code composition to avoid detection. It can also be used to obfuscate PowerShell or Python scripts to render them difficult for conventional antivirus software to identify. Also, LLMs have been employed to propose techniques for backdoor installation, additional facilitating stealthy access to hijacked systems.
  
  
• Disinformation and Narrative Manipulation
  State-sponsored cyber actors are increasingly employing AI to scale up and automate disinformation operations, especially on election, protest, and geopolitical dispute days. With LLMs' assistance, these actors can create massive amounts of ersatz news stories, deepfake interview transcripts, imitation social media posts, and bogus public remarks on online forums and petitions. The localisation of content makes this strategy especially perilous, as messages are written with cultural and linguistic specificity, making them credible and more difficult to detect. The ultimate aim is to seed societal unrest, manipulate public sentiments, and erode faith in democratic institutions.

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Disrupting Malicious Uses of AI – OpenAI Report (June 2025) 

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OpenAI released a comprehensive threat intelligence report called "Disrupting Malicious Uses of AI" and the “Staying ahead of threat actors in the age of AI”, which outlined how state-affiliated actors had been testing and misusing its language models for malicious intent. The report named few advanced persistent threat (APT) groups, each attributed to particular nation-states. OpenAI highlighted that the threat actors used the models mostly for enhancing linguistic quality, generating social engineering content, and expanding operations. Significantly, the report mentioned that the tools were not utilized to produce malware, but rather to support preparatory and communicative phases of larger cyber operations.

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AI Jailbreaking: Dodging Safety Measures

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One of the largest worries is how malicious users can "jailbreak" AI models, misleading them into generating banned content using adversarial input. Some methods employed are:

• Roleplay: Simulating the AI being a professional criminal advisor
• Obfuscation: Concealing requests with code or jargon
• Language Switching: Proposing sensitive inquiries in less frequently moderated languages
• Prompt Injection: Lacing dangerous requests within innocent-appearing questions

These methods have enabled attackers to bypass moderation tools, transforming otherwise moral tools into cybercrime instruments.

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Conclusion

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As AI generations evolve and become more accessible, its application by state-sponsored cyber actors is unprecedentedly threatening global cybersecurity. The distinction between nation-state intelligence collection and cybercrime is eroding, with AI serving as a multiplier of adversarial campaigns. AI tools such as ChatGPT, which were created for benevolent purposes, can be targeted to multiply phishing, propaganda, and social engineering attacks. The cross-border governance, ethical development practices, and cyber hygiene practices need to be encouraged.  AI needs to be shaped not only by innovation but by responsibility.

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References

• https://www.microsoft.com/en-us/security/blog/2024/02/14/staying-ahead-of-threat-actors-in-the-age-of-ai/
• https://www.bankinfosecurity.com/openais-chatgpt-hit-nation-state-hackers-a-28640
• https://oecd.ai/en/incidents/2025-06-13-b5e9
• https://www.microsoft.com/en-us/security/security-insider/meet-the-experts/emerging-AI-tactics-in-use-by-threat-actors
• https://www.wired.com/story/youre-not-ready-for-ai-hacker-agents/
• https://www.cert-in.org.in/PDF/Digital_Threat_Report_2024.pdf
• https://cdn.openai.com/threat-intelligence-reports/5f73af09-a3a3-4a55-992e-069237681620/disrupting-malicious-uses-of-ai-june-2025.pdf

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Executive Summary 

A video is being shared on social media claiming to show an avalanche in Kashmir. The caption of the post alleges that the incident occurred on February 6. Several users sharing the video are also urging people to avoid unnecessary travel to hilly regions. CyberPeace’s research found that the video being shared as footage of a Kashmir avalanche is not real. The research  revealed that the viral video is AI-generated.

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Claim

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The video is circulating widely on social media platforms, particularly Instagram, with users claiming it shows an avalanche in Kashmir on February 6. The archived version of the post can be accessed here. Similar posts were also found online. (Links and archived links provided)

• https://www.instagram.com/reel/DUd8igPEiGe/
• https://archive.is/jzb24 

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Fact Check:  

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To verify the claim, we searched relevant keywords on Google. During this process, we found a video posted on the official Instagram account of the BBC. The BBC post reported that an avalanche occurred near a resort in Sonamarg, Kashmir, on January 27. However, the BBC post does not contain the viral video that is being shared on social media, indicating that the circulating clip is unrelated to the real incident.

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• https://www.instagram.com/reel/DUCyrTjkb-d/

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A close examination of the viral video revealed several inconsistencies. For instance, during the alleged avalanche, people present at the site are not seen panicking, running for cover, or moving toward safer locations. Additionally, the movement and flow of the falling snow appear unnatural. Such visual anomalies are commonly observed in videos generated using artificial intelligence. As part of the research , the video was analyzed using the AI detection tool Hive Moderation. The tool indicated a 99.9% probability that the video was AI-generated.
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Conclusion

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Based on the evidence gathered during our research , it is clear that the video being shared as footage of a Kashmir avalanche is not genuine. The clip is AI-generated and misleading. The viral claim is therefore false.

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