#FactCheck - Viral Image of Bridge claims to be of Mumbai, but in reality it's located in Qingdao, China

Executive Summary:

A viral claim circulated in social media that Anant Ambani and Radhika Merchant wore clothes made of pure gold during their pre-wedding cruise party in Europe.  Thorough analysis revealed abnormalities in image quality, particularly between the face, neck, and hands compared to the claimed gold clothing, leads to possible AI manipulation. A keyword search found no credible news reports or authentic images supporting this claim. Further analysis using AI detection tools, TrueMedia and Hive Moderator, confirmed substantial evidence of AI fabrication, with a high probability of the image being AI-generated or a deep fake. Additionally, a photo from a previous event at Jio World Plaza matched with the pose of the manipulated image, further denying the claim and indicating that the image of Anant Ambani and Radhika Merchant wearing golden outfit during their pre-wedding cruise was digitally altered.

Claims:

Anant Ambani and Radhika Merchant wore clothes made of pure gold during their pre-wedding cruise party in Europe.

Fact Check:

When we received the posts, we found anomalies that were usually found in edited images or AI manipulated images, particularly between the face, neck, and hands.

It’s very unusual in any image. So we then checked in AI Image detection software named Hive Moderation detection tool and found it to be 95.9% AI manipulated.

We also checked with another widely used AI detection tool named True Media. True Media also found it to be 100% to be made using AI.

This implies that the image is AI-generated. To find the original image that has been edited, we did keyword search. We found an image with the same pose as in the manipulated image, with the title "Radhika Merchant, Anant Ambani pose with Mukesh Ambani at Jio World Plaza opening”.  The two images can be compared to verify that the digitally altered image is the same.

Hence, it’s confirmed that the viral image is digitally altered and has no connection with the 2nd Pre-wedding cruise party in Europe.  Thus the viral image is fake and misleading.

Conclusion:

The claim that Anant Ambani and Radhika Merchant wore clothes made of pure gold at their pre-wedding cruise party in Europe is false. The analysis of the image showed signs of manipulation, and a lack of credible news reports or authentic photos supports that it was likely digitally altered. AI detection tools confirmed a high probability that the image was fake, and a comparison with a genuine photo from another event revealed that the image had been edited. Therefore, the claim is false and misleading.

• Claim:  Anant Ambani and Radhika Merchant wore clothes made of pure gold during their pre-wedding cruise party in Europe.
• Claimed on: YouTube, LinkedIn, Instagram
• Fact Check: Fake & Misleading

Introduction

The use of digital information and communication technologies for healthcare access has been on the rise in recent times. Mental health care is increasingly being provided through online platforms by remote practitioners, and even by AI-powered chatbots, which use natural language processing (NLP) and machine learning (ML) processes to simulate conversations between the platform and a user. Thus, AI chatbots can provide mental health support from the comfort of the home, at any time of the day, via a mobile phone.  While this has great potential to enhance the mental health care ecosystem, such chatbots can present technical and ethical challenges as well.

Background

According to the WHO’s World Mental Health Report of 2022, every 1 in 8 people globally is estimated to be suffering from some form of mental health disorder. The need for mental health services worldwide is high but the supply of a care ecosystem is inadequate both in terms of availability and quality. In India, it is estimated that there are only 0.75 psychiatrists per 100,000 patients and only 30% of the mental health patients get help. Considering the slow thawing of social stigma regarding mental health, especially among younger demographics and support services being confined to urban Indian centres, the demand for a telehealth market is only projected to grow. This paves the way for, among other tools, AI-powered chatbots to fill the gap in providing quick, relatively inexpensive, and easy access to mental health counseling services.

Challenges

Users who seek mental health support are already vulnerable, and AI-induced oversight can exacerbate distress due to some of the following reasons: 

1. Inaccuracy: Apart from AI’s tendency to hallucinate data, chatbots may simply provide incorrect or harmful advice since they may be trained on data that is not representative of the specific physiological and psychological propensities of various demographics. 
2. Non-Contextual Learning: The efficacy of mental health counseling often relies on rapport-building between the service provider and client, relying on circumstantial and contextual factors. Machine learning models may struggle with understanding interpersonal or social cues, making their responses over-generalised. 
3. Reinforcement of Unhelpful Behaviors: In some cases, AI chatbots, if poorly designed, have the potential to reinforce unhealthy thought patterns. This is especially true for complex conditions such as OCD, treatment for which requires highly specific therapeutic interventions. 
4. False Reassurance: Relying solely on chatbots for counseling may create a partial sense of safety, thereby discouraging users from approaching professional mental health support services. This could reinforce unhelpful behaviours and exacerbate the condition. 
5. Sensitive Data Vulnerabilities: Health data is sensitive personal information. Chatbot service providers will need to clarify how health data is stored, processed, shared, and used. Without strong data protection and transparency standards, users are exposed to further risks to their well-being. 

Way Forward

1. Addressing Therapeutic Misconception: A lack of understanding of the purpose and capabilities of such chatbots, in terms of care expectations and treatments they can offer, can jeopardize user health. Platforms providing such services should be mandated to lay disclaimers about the limitations of the therapeutic relationship between the platform and its users in a manner that is easy to understand. 
2. Improved Algorithm Design: Training data for these models must undertake regular updates and audits to enhance their accuracy, incorporate contextual socio-cultural factors for profile analysis, and use feedback loops from customers and mental health professionals. 
3. Human Oversight: Models of therapy where AI chatbots are used to supplement treatment instead of replacing human intervention can be explored. Such platforms must also provide escalation mechanisms in cases where human-intervention is sought or required. 

Conclusion

It is important to recognize that so far, there is no substitute for professional mental health services. Chatbots can help users gain awareness of their mental health condition and play an educational role in this regard, nudging them in the right direction, and provide assistance to both the practitioner and the client/patient. However, relying on this option to fill gaps in mental health services is not enough. Addressing this growing —and arguably already critical— global health crisis requires dedicated public funding to ensure comprehensive mental health support for all. 

Sources 

• https://www.who.int/news/item/17-06-2022-who-highlights-urgent-need-to-transform-mental-health-and-mental-health-care 
• https://health.economictimes.indiatimes.com/news/industry/mental-healthcare-in-india-building-a-strong-ecosystem-for-a-sound-mind/105395767#:~:text=Indian%20mental%20health%20market%20is,access%20to%20better%20quality%20services. 
• https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1278186/full 

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Disclaimer:

This report is based on extensive research conducted by CyberPeace Research using publicly available information, and advanced analytical techniques. The findings, interpretations, and conclusions presented are based on the data available at the time of study and aim to provide insights into global ransomware trends.

The statistics mentioned in this report are specific to the scope of this research and may vary based on the scope and resources of other third-party studies. Additionally, all data referenced is based on claims made by threat actors and does not imply confirmation of the breach by CyberPeace. CyberPeace includes this detail solely to provide factual transparency and does not condone any unlawful activities. This information is shared only for research purposes and to spread awareness. CyberPeace encourages individuals and organizations to adopt proactive cybersecurity measures to protect against potential threats.

CyberPeace Research does not claim to have identified or attributed specific cyber incidents to any individual, organization, or nation-state beyond the scope of publicly observable activities and available information. All analyses and references are intended for informational and awareness purposes only, without any intention to defame, accuse, or harm any entity.

While every effort has been made to ensure accuracy, CyberPeace Research is not liable for any errors, omissions, subsequent interpretations and any unlawful activities of the findings by third parties. The report is intended to inform and support cybersecurity efforts globally and should be used as a guide to foster proactive measures against cyber threats.

Executive Summary: 

The 2024 ransomware landscape reveals alarming global trends, with 166 Threat Actor Groups leveraging 658 servers/underground resources and mirrors to execute 5,233 claims across 153 countries. Monthly fluctuations in activity indicate strategic, cyclical targeting, with peak periods aligned with vulnerabilities in specific sectors and regions. The United States was the most targeted nation, followed by Canada, the UK, Germany, and other developed countries, with the northwestern hemisphere experiencing the highest concentration of attacks. Business Services and Healthcare bore the brunt of these operations due to their high-value data, alongside targeted industries such as Pharmaceuticals, Mechanical, Metal, Electronics, and Government-related professional firms. Retail, Financial, Technology, and Energy sectors were also significantly impacted.

This research was conducted by CyberPeace Research using a systematic modus operandi, which included advanced OSINT (Open-Source Intelligence) techniques, continuous monitoring of Ransomware Group activities, and data collection from 658 servers and mirrors globally. The team utilized data scraping, pattern analysis, and incident mapping to track trends and identify hotspots of ransomware activity. By integrating real-time data and geographic claims, the research provided a comprehensive view of sectoral and regional impacts, forming the basis for actionable insights.

The findings emphasize the urgent need for proactive Cybersecurity strategies, robust defenses, and global collaboration to counteract the evolving and persistent threats posed by ransomware.

Overview:

This report provides insights into ransomware activities monitored throughout 2024. Data was collected by observing 166 Threat Actor Groups using ransomware technologies across 658 servers/underground resources and mirrors, resulting in 5,233 claims worldwide. The analysis offers a detailed examination of global trends, targeted sectors, and geographical impact.

Top 10 Threat Actor Groups:

The ransomware group ‘ransomhub’ has emerged as the leading threat actor, responsible for 527 incidents worldwide. Following closely are ‘lockbit3’ with 522 incidents and ‘play’ with 351. Other Groups are ‘akira’, ‘hunters’, ‘medusa’, ‘blackbasta’, ‘qilin’, ‘bianlian’, ‘incransom’. These groups usually employ advanced tactics to target critical sectors, highlighting the urgent need for robust cybersecurity measures to mitigate their impact and protect organizations from such threats.

Monthly Ransomware Incidents:

In January 2024, the value began at 284, marking the lowest point on the chart. The trend rose steadily in the subsequent months, reaching its first peak at 557 in May 2024. However, after this peak, the value dropped sharply to 339 in June. A gradual recovery follows, with the value increasing to 446 by August. September sees another decline to 389, but a sharp rise occurs afterward, culminating in the year’s highest point of 645 in November. The year concludes with a slight decline, ending at 498 in December 2024 (till 28th of December).

Top 10 Targeted Countries:

1. The United States consistently topped the list as the primary target probably due to its advanced economic and technological infrastructure.
2. Other heavily targeted nations include Canada, UK, Germany, Italy, France, Brazil, Spain, and India.
3. A total of 153 countries reported ransomware attacks, reflecting the global scale of these cyber threats

Top Affected Sectors:

1. Business Services and Healthcare faced the brunt of ransomware threat due to the sensitive nature of their operations.
2. Specific industries under threats:
   1. Pharmaceutical, Mechanical, Metal, and Electronics industries.
   2. Professional firms within the Government sector.
3. Other sectors:
   1. Retail, Financial, Technology, and Energy sectors were also significant targets.

Geographical Impact:

The continuous and precise OSINT(Open Source Intelligence) work on the platform, performed as a follow-up action to data scraping, allows a complete view of the geography of cyber attacks based on their claims. The northwestern region of the world appears to be the most severely affected by Threat Actor groups. The figure below clearly illustrates the effects of this geographic representation on the map.

Ransomware Threat Trends in India:

In 2024, the research identified 98 ransomware incidents impacting various sectors in India, marking a 55% increase compared to the 63 incidents reported in 2023. This surge highlights a concerning trend, as ransomware groups continue to target India's critical sectors due to its growing digital infrastructure and economic prominence.

Top Threat Actors Group Targeted India:

Among the following threat actors ‘killsec’ is the most frequent threat. ‘lockbit3’  follows as the second most prominent threat, with significant but lower activity than killsec. Other groups, such as ‘ransomhub’, ‘darkvault’, and ‘clop’, show moderate activity levels. Entities like ‘bianlian’, ‘apt73/bashe’, and ‘raworld’ have low frequencies, indicating limited activity. Groups such as ‘aps’ and ‘akira’ have the lowest representation, indicating minimal activity. The chart highlights a clear disparity in activity levels among these threats, emphasizing the need for targeted cybersecurity strategies.

Top Impacted Sectors in India:

The pie chart illustrates the distribution of incidents across various sectors, highlighting that the industrial sector is the most frequently targeted, accounting for 75% of the total incidents. This is followed by the healthcare sector, which represents 12% of the incidents, making it the second most affected. The finance sector accounts for 10% of the incidents, reflecting a moderate level of targeting. In contrast, the government sector experiences the least impact, with only 3% of the incidents, indicating minimal targeting compared to the other sectors. This distribution underscores the critical need for enhanced cybersecurity measures, particularly in the industrial sector, while also addressing vulnerabilities in healthcare, finance, and government domains.

Month Wise Incident Trends in India:

The chart indicates a fluctuating trend with notable peaks in May and October, suggesting potential periods of heightened activity or incidents during these months. The data starts at 5 in January and drops to its lowest point, 2, in February. It then gradually increases to 6 in March and April, followed by a sharp rise to 14 in May. After peaking in May, the metric significantly declines to 4 in June but starts to rise again, reaching 7 in July and 8 in August. September sees a slight dip to 5 before the metric spikes dramatically to its highest value, 24, in October. Following this peak, the count decreases to 10 in November and then drops further to 7 in December.

CyberPeace Advisory:

1. Implement Data Backup and Recovery Plans: Backups are your safety net. Regularly saving copies of your important data ensures you can bounce back quickly if ransomware strikes. Make sure these backups are stored securely—either offline or in a trusted cloud service—to avoid losing valuable information or facing extended downtime.  
2. Enhance Employee Awareness and Training: People often unintentionally open the door to ransomware. By training your team to spot phishing emails, social engineering tricks, and other scams, you empower them to be your first line of defense against attacks.  
3. Adopt Multi-Factor Authentication (MFA): Think of MFA as locking your door and adding a deadbolt. Even if attackers get hold of your password, they’ll still need that second layer of verification to break in. It’s an easy and powerful way to block unauthorized access.  
4. Utilize Advanced Threat Detection Tools: Smart tools can make a world of difference. AI-powered systems and behavior-based monitoring can catch ransomware activity early, giving you a chance to stop it in its tracks before it causes real damage.  
5. Conduct Regular Vulnerability Assessments: You can’t fix what you don’t know is broken. Regularly checking for vulnerabilities in your systems helps you identify weak spots. By addressing these issues proactively, you can stay one step ahead of attackers.

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Conclusion:

The 2024 ransomware landscape reveals the critical need for proactive cybersecurity strategies. High-value sectors and technologically advanced regions remain the primary targets, emphasizing the importance of robust defenses. As we move into 2025, it is crucial to anticipate the evolution of ransomware tactics and adopt forward-looking measures to address emerging threats. 

Global collaboration, continuous innovation in cybersecurity technologies, and adaptive strategies will be imperative to counteract the persistent and evolving threats posed by ransomware activities. Organizations and governments must prioritize preparedness and resilience, ensuring that lessons learned in 2024 are applied to strengthen defenses and minimize vulnerabilities in the year ahead.

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