#FactCheck- Viral ‘Modi Massage Video’ Claim False, Features Content Creators

Introduction

DDoS – Distributed Denial of Service Attack is one of the cyber-attacks which has been evolving at the fastest pace,  the new technologies have created a blanket of vulnerability for the victim which allows the cyber criminals to stay under the radar and keep launching small scale high intensity cyber attacks. A distributed denial-of-service (DDoS) attack is a malicious attempt to disrupt the normal traffic of a targeted server, service, or network by overwhelming the target or its surrounding infrastructure with a flood of Internet traffic. DDoS attacks achieve effectiveness by utilizing multiple compromised computer systems as sources of attack traffic. Exploited machines can include computers and other networked resources such as IoT devices. From a high level, a DDoS attack is like an unexpected traffic jam clogging up the highway, preventing regular traffic from arriving at its destination.

Op Power Off

In a recent Operation by Law enforcement agencies known as Op Power Off, LEAs from United Kingdom, United States of America, Netherlands, Poland, and Germany joined hands to target the cybergroups committing such large-scale attacks which can paralyse the Internet become inaccessible for a large faction of netizens. The services collectively seized were by far the most popular DDoS booter services on the market, receiving top billing on search engines. One such service taken down had been used to carry out over 30 million attacks. As part of this action, seven administrators have been arrested so far in the United States and the United Kingdom, with further actions planned against the users of these illegal services.  International police cooperation was central to the success of this operation as the administrators, users, critical infrastructure, and victims were scattered across the world. Europol’s European Cybercrime Centre coordinated the activities in Europe through its Joint Cybercrime Action Taskforce (J-CAT).

Participating Authorities

• United States: US Department of Justice (US DOJ), Federal Bureau of Investigation (FBI)
• United Kingdom: National Crime Agency (NCA)
• The Netherlands: National High Tech Crime Unit Landelijke Eenheid, Cybercrime team Midden-Nederland, Cybercrime team Noord-Holland and Cybercrime team Den Haag
• Germany: Federal Criminal Police Office (Bundeskriminalamt), Hanover Police Department (Polizeidirektion Hannover), Public Prosecutor’s Office Verden (Staatsanwaltschaft Verden)
• Poland: National Police Cybercrime Bureau (Biuro do Walki z Cyber-przestępczością)

Issue related to DDoS Attacks

DDoS booter services have effectively lowered the entry barrier into cybercrime: for a fee as low as EUR 10, any low-skilled individual can launch DDoS attacks with the click of a button, knocking offline whole websites and networks by barraging them with traffic.  The damage they can do to victims can be considerable, crippling businesses financially and depriving people of essential services offered by banks, government institutions, and police forces. Emboldened by perceived anonymity, many young IT enthusiasts get involved in this seemingly low-level crime, unaware of the consequences that such online activities can carry. The influence of toolkits available on the dark net has made it easier for criminals to commit such crimes and at times even get away with it as well.

‍Recent examples of DDoS Attacks

• In February 2020, Amazon Web Services (AWS) suffered a DDoS attack sophisticated enough to keep its incident response teams occupied for several days also affecting customers worldwide.
• In February 2021, the EXMO Cryptocurrency exchange fell victim to a DDoS attack that rendered the organization inoperable for almost five hours.
• Recently, Australia experienced a significant, sustained, state-sponsored DDoS attack.
• Belgium also became a victim of a DDoS attack that targeted the country’s parliament, police services, and universities.

DDoS vs. DoS Attacks: What’s the Difference?

It’s important to avoid confusing a DDoS (distributed denial of service) attack with a DoS (denial of service) attack. Although only one word separates the two, these attacks vary significantly in nature.

• Strictly defined, a typical DDoS attack manipulates many distributed network devices between the attacker and the victim into waging an unwitting attack, exploiting legitimate behavior.
• A traditional DoS attack doesn’t use multiple, distributed devices, nor does it focus on devices between the attacker and the organization. These attacks also tend not to use multiple internet devices.

Conclusion

In this era of cyberspace, it is of paramount importance to maintain digital safety and security equivalent to physical safety, the cybercriminals will not stop at anything and can stoop to any level to target netizens and critical infrastructures in order to commit ransomware and malware attacks. As we can see DDoS-ing is taken seriously by law enforcement, at all levels of users, and are on the radar of law enforcement, be it a gamer booting out the competition out of a video game, or a high-level hacker carrying out DDoS attacks against commercial targets for financial gain.

Introduction

The Indian Computer Emergency Response Team, CERT-In, is the national statutory agency that responds to Cybersecurity Incidents under the Ministry of Electronics and Information Technology (MeitY) of the Government of India. CERT-In and Information Sharing and Analysis Center (ISAC) have joined hands to develop a focused pool of Cybersecurity Leaders through the National Cyber Security Scholar Program (NCSSP). This National Cyber Security Scholar Program is to create a pool of credible and ethical cybersecurity leaders in the country who prioritise national cyber security in their professional endeavours. This program allows both organisations to jointly issue joint certifications for Cohort 6 of the National Cyber Security Scholar Program (NCSSP). This certification is provided to cybersecurity professionals who complete one of the world’s leading cybersecurity management programs.

About the Program

The National Cybersecurity Scholar (NCSS) is a comprehensive 18-week, 160-hour Instructor-led program for emerging cybersecurity leaders. The ISAC will conduct the program with CERT-IN and KDEM as knowledge partners. This Cyber Security Scholar program aims to provide an extraordinary opportunity, for scholars, to gain hands-on experience in real-world scenarios through activities such as war games. It will allow scholars to acquaint themselves with roles such as that of stakeholders,  including attackers, Security Operations Centre (SOC) teams, Forensicators, Chief Information Security Officers (CISOs), and CEOs, and engage in tabletop exercises that simulate a cyber crisis. This program would allow scholars to understand how responses to cyber crises impact the financial performance of an organisation, including, stock prices and sales.  It offers a treasure trove of insights into the economic impact of cybersecurity decisions and the importance of proactive risk management. 

The program invites applications from various scholars including Mid to senior-level leaders, diplomats and diplomatic corps officers, mid to senior-level government officials involved in homeland and cybersecurity operations, experienced executives from Managed Security Services Providers (MSSPs), faculty members who specialise in new and emerging technologies, cybersecurity professionals in CII sectors and post-doctoral or research scholars in cybersecurity. 

CyberPeace Outlook

The National Cyber Security Scholar Program subsumes several key dimensions working towards building a resilient cybersecurity ecosystem for India.

1. The program focuses on skill development and enhancing scholars’ knowledge in domains of network security, ethical hacking, cyber forensics, incident response, malware analysis, and threat intelligence. 
2. The partnership between CERT-In and ISAC, government and Industry entities, ensures that scholars are exposed to different policy-level frameworks and technical expertise, offering a unique blend of perspectives that cater to the country's national security goals and industry best practices.
3. The scholar program encourages the development of new methodologies, tools, and frameworks that could be instrumental in tackling future cyber challenges and advancing India's position as a global leader in cybersecurity research and development. Research and innovation in cybersecurity are critical to the program.
4. It plays a significant role in providing opportunities for career development by further providing networking platforms with professionals, researchers, and thought leaders in the cybersecurity field, giving them exposure to internships, job placements, and further academic pursuits.

This program aims to support upskilling India’s broader cyber defence strategy through the creation of highly skilled professionals. The scholars are expected to contribute actively to national cybersecurity efforts, whether through roles in government, private sector, or academia, helping to create a more secure and resilient cyberspace. The National Cyber Security Scholar Program is a major advancement in strengthening cybersecurity resilience in India. In a digital world where cyber threats crossing boundaries, such programs are essential for maintaining our national security and economic stability.

References

• https://theprint.in/ani-press-releases/cert-in-and-isac-collaborate-to-develop-focussed-pool-of-cybersecurity-leaders-through-the-national-cyber-security-scholar-program-ncssp/2318021/ 
• https://isacfoundation.org/national-cyber-security-scholar/
• https://cyberversefoundation.org/national-cyber-security-scholar/ 

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Introduction
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The rapid rise of AI tools has reshaped how health content spreads on platforms like Instagram Reels and YouTube Shorts. These sub-minute videos promise quick fixes for weight loss, glowing skin, or reduced anxiety, often delivered through polished visuals and confident AI-generated voiceovers. The result feels highly personalised, as if the advice is tailored to each viewer, even though it is usually generic and widely recycled.

Short-form videos tend to compress complex health topics into “one tip” solutions, such as drinking a specific detox drink daily or following a single workout for rapid fat loss. While appealing, this oversimplification removes essential context, including individual health conditions, long-term risks, and scientific nuance. For example, viral diet trends or fitness hacks may work for some but can be ineffective or even harmful for others.

Algorithms play a major role in amplifying such content. Videos that promise dramatic transformations or instant results are more likely to gain engagement, which pushes them to wider audiences. Repeated exposure then builds familiarity, making the advice seem more credible over time. Audiences often trust this content due to its clean presentation, authoritative tone, and frequent repetition. However, the risks include misinformation, unrealistic expectations, and potential harm from unverified practices. To approach such content critically, viewers should cross-check claims with credible medical sources, avoid relying on single tip solutions, and remember that real health advice is rarely one size fits all.
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The Illusion of Personalisation
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AI-generated health content often mimics personalisation through:

• Synthetic voiceovers that designers created to match different age groups through their voice output, which speak specifically to people who are 20 years old and younger.
• The script development process uses data that tracks currently popular search terms.
• Viewers can interpret information through visual elements, which show changes between two different states.

The process of "personalisation" uses generalised data that does not match individual health profiles to create targeted results. The videos fail to provide a medical assessment because they do not consider:

• Existing medical conditions
• Hereditary differences
• Personal habits and the impact of surrounding conditions

The users will think that general medical advice applies to their personal health needs, which will lead them to use this advice inappropriately.

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Short-Form Content and Oversimplification
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Short-form videos have time limitations, which result in reduced complex medical information development into basic medical stories. The typical patterns of evaluation include these two patterns of evaluation include:

• “One-tip solutions” (e.g., “Drink this before bed to burn fat”)
• Binary framing (“good vs bad foods”)
• The process of eliminating all disclaimers and side effects information

For example, the three diet methods here the three diet methods here

• Viral detox drinks that make the claim to "flush toxins" from the body
• Extreme calorie-cutting diet hacks
• Fitness shortcuts that guarantee users will see results within days

The content demonstrates a pattern of disregarding essential human body operation rules that include both metabolic patterns and human body operation over extended periods of time.
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Algorithmic Amplification and Virality
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The recommendation algorithms used by Instagram and YouTube deliver their most important results through three main factors, which include:

• Engagement (likes, shares, watch time)
• Retention rates
• Emotional or aspirational triggers 

Health-related content that claims to deliver:

• Immediate body changes
• Needs minimal work from viewers
• Results in extreme physical changes

Attractive health-related content that displays extreme physical changes through quick transformations. The system produces a continuous cycle during which:

1. Misleading content gains traction
2. Algorithms amplify it further
3. More creators replicate similar formats using AI tools 

The system produces a secondary result that favours content that people share instead of content that has authentic credibility.
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Why Do Users Trust AI-Generated Health Content?
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Several psychological and technological factors contribute to trust:

1. Professional Aesthetics - AI tools generate high-quality visual content together with authentic voiceover performance and expert-level script documentation, which replicates professional communication methods.
2. Repetition and Familiarity - When people encounter identical recommendations multiple times, their belief in those recommendations increases through the illusory truth effect.
3. Authority Signals

• Medical terminology serves as a standard term
• Medical professionals appear in stock footage through lab coat visuals
• The narrator delivers information through an assertive speaking style

4. Perceived Personal Relevance - Algorithmic targeting makes users feel the content is "meant for them.

Real-World Examples of Viral Trends
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The typical types of health misinformation that artificial intelligence systems spread through their enhanced capabilities include:

• Diet Trends: Keto shortcuts, extreme intermittent fasting variants
• Fitness Hacks: Spot reduction exercises (scientifically unsupported)
• Supplement Advice: Unverified claims about vitamins or herbal products
• Mental Health Tips: Oversimplified coping strategies that lack clinical evidence

The statement that drinking warm lemon water will detox your liver continues to be popular despite the fact that the liver has natural self-detoxification abilities.

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Risks and Public Health Implications
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The widespread consumption of such content creates multiple dangers, which include:

1. Physical Health Risks

• Nutritional deficiencies from extreme diets
• Injury from improper exercise techniques
• Delayed medical consultation

2. Psychological Impact

• Unrealistic body image expectations
• Anxiety due to conflicting advice

3. Misinformation Ecosystem

• The public loses confidence in evidence-based medicine
• Unverified or pseudoscientific practices spread throughout society

Regulatory and Ethical Concerns

The increase of AI-generated health materials connects to more extensive problems, which include:

• Who is responsible for the content
• Who is responsible for the platform
• How AI systems show their inner workings to users

Most platforms today do not have strict systems that can:

• Verify medical claims
• Display which health advice comes from artificial intelligence
• Punish users who spread false information multiple times

The absence of regulations allows misleading information to spread without consequences.
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A CyberPeace Perspective: Building Digital Health Resilience
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The problem needs complete involvement from several parties to create effective solutions that protect both online security and data integrity. 
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For Users

• Users should confirm claims by using trustworthy medical resources, which include the WHO and peer-reviewed studies.
• People should avoid using "quick solutions" until they receive guidance from certified experts.
• Users should exercise caution when they encounter content that does not include necessary warning signs.

For Platforms

• Platforms should implement systems that enable users to identify AI-generated content.
• Platforms should decrease the visibility of health information that contains false statements.
• Platforms should support authentic health content producers who have been validated.

For Policymakers

• Policymakers should create standards that govern AI-produced medical content.
• Policymakers need to enhance initiatives that teach people about the health information available online.

For Content Creators

• Content creators must show how they implement AI technologies.
• They should stay away from making claims that either go beyond what is needed or state things as absolute truth.

Conclusion
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AI-generated health tips on short-form video platforms create complex research conditions that involve three scientific fields: technology, psychology and public health. The tools provide equal access to information, yet create higher risks for people to believe false information when they use the tools without responsible usage. 

The challenge requires organisations to maintain user safety through accurate information management while providing users with transparent digital health services. The growing dependence of users on algorithm-based content requires educational institutions to develop students' critical thinking abilities and digital skills to minimise negative effects from AI-driven communication methods.
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References
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• https://pmc.ncbi.nlm.nih.gov/articles/PMC12924558/
• https://academic.oup.com/heapro/article/40/2/daaf023/8100645
• https://pmc.ncbi.nlm.nih.gov/articles/PMC12673052/
• https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1713794/full
• https://www.who.int/teams/digital-health-and-innovation/digital-channels/combatting-misinformation-online
• https://link.springer.com/article/10.1186/s12982-025-00777-2
• https://www.washingtonpost.com/health/2026/04/21/chatbot-medical-advice-accurate/

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