#FactCheck - AI Generated Photo Circulating Online Misleads About BARC Building Redesign

Executive Summary

A misleading  advertisement circulating in social media providing attractive offers like iPhone15, AirPods and Smartwatches from the Indian e-commerce platform ‘Myntra’. This “Myntra - Festival Gifts” scam aims to attract the unsuspecting users into a series of redirects and fake interactions to compromise their personal information and devices. It is important to stay vigilant to protect ourselves from misleading attractive offers. Through this report, the Research Wing of CyberPeace explains about a series of processes that happens when the link gets clicked. Through this knowledge, we aim to provide awareness and empower the users to guard themselves and not fall into deceptive offers that aim to scam them.   

False Claim

The widely shared WhatsApp message claims that Myntra  is offering a wide range of high-valued prizes including the latest iPhone 15, AirPods, various smartwatches among all as a Festival Gift promotion. The campaign invites the users to click on the link provided and take a short quiz to be eligible for the prize.

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The Deceptive Scheme

• The link in the social media post is tailored to work only on mobile devices, users are taken through a chain of redirects.
• Users are greeted with the Myntra's "Big Fashion Festival" branding accompanied by Myntra’s logo once they reach the landing page, which gives an impression of authenticity.
• Next, a simple quiz asks basic questions about the user's shopping experience with Myntra, their age, and gender.
• On the bottom of the quiz, there is a comment section that shows the comments from users who are supposedly provided with the prizes to look real,  
• After the completion of the quiz, users are presented with a Spin-to-Win mechanism, to win the prize. 
• After winning, a congratulatory message is displayed which says that the user has won an iPhone 15.
• The final step requires the user to share the campaign over WhatsApp in order to claim the prize.

 Analyzing the Fraudulent Campaign 

• The use of Myntra's branding and the promise of exclusive, high-value prizes are designed to attract  users' interest.
• The fake comments and social proof elements aim to create a false sense of legitimacy and widespread participation, making the offer seem more credible.
• The series of redirects, quizzes, and Spin-to-Win mechanics are tactics to keep users engaged and increase the likelihood of them falling for the scam.
• The final step of sharing the post on WhatsApp is a way for the scammers to further spread the campaign and compromise more victims. Through sharing the link over WhatsApp, users become unaware accomplices that are simply assisting the scammers to reach an even bigger audience and hence their popularity.

• The primary objectives of such scams are to gather users' personal information and potentially gain access to their devices. By luring users with the promise of exclusive gifts and creating a false sense of legitimacy, the scammers aim to exploit user trust and compromise their data, leading to potential identity theft, financial fraud, or the installation of potentially unwanted softwares.
• We have also cross-checked and as of now there is no well established and credible source or any official notification that has confirmed such an offer advertised by Myntra.
• Domain Analysis: If we closely look at the viral message, it is clearly visible that the scammers mentioned myntra.com in the url. However, the actual url takes the user to a different domain as the campaign is hosted on a third party domain instead of the official Website of Myntra, this raised suspicion. This is the common way to deceive users into falling for a Phishing scam. Whois information reveals that the domain has been registered not long ago i.e on 8th April 2024, just a few days back. Cybercriminals used Cloudflare technology to mask the actual IP address of the fraudulent website.

• Domain Name: MYTNRA.CYOU
• Registry Domain ID: D445770144-CNIC
• Registrar WHOIS Server: whois.hkdns.hk
• Registrar URL: http://www.hkdns.hk
• Updated Date: 2024-04-08T03:27:58.0Z
• Creation Date: 2024-04-08T02:58:14.0Z
• Registry Expiry Date: 2025-04-08T23:59:59.0Z
• Registrar: West263 International Limited
• Registrant State/Province: Delhi
• Registrant Country: IN
• Name Server: NORMAN.NS.CLOUDFLARE.COM
• Name Server: PAM.NS.CLOUDFLARE.COM

‍CyberPeace Advisory and Best Practices‍

• Do not open those messages received from social platforms in which you think that such messages are suspicious or unsolicited. In the beginning, your own discretion can become your best weapon.
• Falling prey to such scams could compromise your entire system, potentially granting unauthorized access to your microphone, camera, text messages, contacts, pictures, videos, banking applications, and more. Keep your cyber world safe against any attacks.
• Never, in any case, reveal such sensitive data as your login credentials and banking details to entities you haven't validated as reliable ones.
• Before sharing any content or clicking on links within messages, always verify the legitimacy of the source. Protect not only yourself but also those in your digital circle.
• For the sake of the truthfulness of offers and messages, find the official sources and companies directly. Verify the authenticity of alluring offers before taking any action.

Conclusion:

The “Myntra - Festival Gift” scam is a kind of manipulation in which the fraudsters exploit the trust of the users and take advantage of a popular e-commerce website. It is equally crucial to equip the users by imparting them knowledge on fraudulent behavior tactics like impersonating brands, creating fake social proof and application of different engagement strategies. We are required to remain alert and stand firm against cyber attacks. Be careful, make sure that information is verified and share awareness to help make a safe online environment for all users.

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Executive Summary:

In late 2024 an Indian healthcare provider experienced a severe cybersecurity attack that demonstrated how powerful AI ransomware is. This blog discusses the background to the attack, how it took place and the effects it caused (both medical and financial), how organisations reacted, and the final result of it all, stressing on possible dangers in the healthcare industry with a lack of sufficiently adequate cybersecurity measures in place. The incident also interrupted the normal functioning of business and explained the possible economic and image losses from cyber threats. Other technical results of the study also provide more evidence and analysis of the advanced AI malware and best practices for defending against them. 

1. Introduction

The integration of artificial intelligence (AI) in cybersecurity has revolutionised both defence mechanisms and the strategies employed by cybercriminals. AI-powered attacks, particularly ransomware, have become increasingly sophisticated, posing significant threats to various sectors, including healthcare. This report delves into a case study of an AI-powered ransomware attack on a prominent Indian healthcare provider in 2024, analysing the attack's execution, impact, and the subsequent response, along with key technical findings.

2. Background 

 In late 2024, a leading healthcare organisation in India which is involved in the research and development of AI techniques fell prey to a ransomware attack that was AI driven to get the most out of it. With many businesses today relying on data especially in the healthcare industry that requires real-time operations, health care has become the favourite of cyber criminals. AI aided attackers were able to cause far more detailed and damaging attack that severely affected the operation of the provider whilst jeopardising the safety of the patient information.  

 3. Attack Execution 

The attack began with the launch of a phishing email designed to target a hospital administrator. They received an email with an infected attachment which when clicked in some cases injected the AI enabled ransomware into the hospitals network. AI incorporated ransomware was not as blasé as traditional ransomware, which sends copies to anyone, this studied the hospital’s IT network. First, it focused and targeted important systems which involved implementation of encryption such as the electronic health records and the billing departments. 

The fact that the malware had an AI feature allowed it to learn and adjust its way of propagation in the network, and prioritise the encryption of most valuable data. This accuracy did not only increase the possibility of the potential ransom demand but also it allowed reducing the risks of the possibility of early discovery. 

 4. Impact 

•  The consequences of the attack were immediate and severe: The consequences of the attack were immediate and severe.
•  Operational Disruption: The centralization of important systems made the hospital cease its functionality through the acts of encrypting the respective components. Operations such as surgeries, routine medical procedures and admitting of patients were slowed or in some cases referred to other hospitals. 
•  Data Security: Electronic patient records and associated billing data became off-limit because of the vulnerability of patient confidentiality. The danger of data loss was on the verge of becoming permanent, much to the concern of both the healthcare provider and its patients. 
•  Financial Loss: The attackers asked for 100 crore Indian rupees (approximately 12 USD million) for the decryption key. Despite the hospital not paying for it, there were certain losses that include the operational loss due to the server being down, loss incurred by the patients who were affected in one way or the other, loss incurred in responding to such an incident and the loss due to bad reputation. 

5. Response

As soon as the hotel’s management was informed about the presence of ransomware, its IT department joined forces with cybersecurity professionals and local police. The team decided not to pay the ransom and instead recover the systems from backup. Despite the fact that this was an ethically and strategically correct decision, it was not without some challenges. Reconstruction was gradual, and certain elements of the patients’ records were permanently erased. 

 In order to avoid such attacks in the future, the healthcare provider put into force several organisational and technical actions such as network isolation and increase of cybersecurity measures. Even so, the attack revealed serious breaches in the provider’s IT systems security measures and protocols. 

6. Outcome

The attack had far-reaching consequences:

• Financial Impact: A healthcare provider suffers a lot of crashes in its reckoning due to substantial service disruption as well as bolstering cybersecurity and compensating patients. 
•  Reputational Damage: The leakage of the data had a potential of causing a complete loss of confidence from patients and the public this affecting the reputation of the provider. This, of course, had an effect on patient care, and ultimately resulted in long-term effects on revenue as patients were retained. 
•  Industry Awareness: The breakthrough fed discussions across the country on how to improve cybersecurity provisions in the healthcare industry. It woke up the other care providers to review and improve their cyber defence status. 

7. Technical Findings

The AI-powered ransomware attack on the healthcare provider revealed several technical vulnerabilities and provided insights into the sophisticated mechanisms employed by the attackers. These findings highlight the evolving threat landscape and the importance of advanced cybersecurity measures.

7.1 Phishing Vector and Initial Penetration

• Sophisticated Phishing Tactics: The phishing email was crafted with precision, utilising AI to mimic the communication style of trusted contacts within the organisation. The email bypassed standard email filters, indicating a high level of customization and adaptation, likely due to AI-driven analysis of previous successful phishing attempts.
• Exploitation of Human Error: The phishing email targeted an administrative user with access to critical systems, exploiting the lack of stringent access controls and user awareness. The successful penetration into the network highlighted the need for multi-factor authentication (MFA) and continuous training on identifying phishing attempts.

7.2 AI-Driven Malware Behavior

• Dynamic Network Mapping: Once inside the network, the AI-powered malware executed a sophisticated mapping of the hospital's IT infrastructure. Using machine learning algorithms, the malware identified the most critical systems—such as Electronic Health Records (EHR) and the billing system—prioritising them for encryption. This dynamic mapping capability allowed the malware to maximise damage while minimising its footprint, delaying detection.
• Adaptive Encryption Techniques: The malware employed adaptive encryption techniques, adjusting its encryption strategy based on the system's response. For instance, if it detected attempts to isolate the network or initiate backup protocols, it accelerated the encryption process or targeted backup systems directly, demonstrating an ability to anticipate and counteract defensive measures.
• Evasive Tactics: The ransomware utilised advanced evasion tactics, such as polymorphic code and anti-forensic features, to avoid detection by traditional antivirus software and security monitoring tools. The AI component allowed the malware to alter its code and behaviour in real time, making signature-based detection methods ineffective.

7.3 Vulnerability Exploitation

• Weaknesses in Network Segmentation: The hospital’s network was insufficiently segmented, allowing the ransomware to spread rapidly across various departments. The malware exploited this lack of segmentation to access critical systems that should have been isolated from each other, indicating the need for stronger network architecture and micro-segmentation.
• Inadequate Patch Management: The attackers exploited unpatched vulnerabilities in the hospital’s IT infrastructure, particularly within outdated software used for managing patient records and billing. The failure to apply timely patches allowed the ransomware to penetrate and escalate privileges within the network, underlining the importance of rigorous patch management policies.

7.4 Data Recovery and Backup Failures

• Inaccessible Backups: The malware specifically targeted backup servers, encrypting them alongside primary systems. This revealed weaknesses in the backup strategy, including the lack of offline or immutable backups that could have been used for recovery. The healthcare provider’s reliance on connected backups left them vulnerable to such targeted attacks.
• Slow Recovery Process: The restoration of systems from backups was hindered by the sheer volume of encrypted data and the complexity of the hospital’s IT environment. The investigation found that the backups were not regularly tested for integrity and completeness, resulting in partial data loss and extended downtime during recovery.

7.5 Incident Response and Containment

• Delayed Detection and Response: The initial response was delayed due to the sophisticated nature of the attack, with traditional security measures failing to identify the ransomware until significant damage had occurred. The AI-powered malware’s ability to adapt and camouflage its activities contributed to this delay, highlighting the need for AI-enhanced detection and response tools.
• Forensic Analysis Challenges: The anti-forensic capabilities of the malware, including log wiping and data obfuscation, complicated the post-incident forensic analysis. Investigators had to rely on advanced techniques, such as memory forensics and machine learning-based anomaly detection, to trace the malware’s activities and identify the attack vector.

8. Recommendations Based on Technical Findings

To prevent similar incidents, the following measures are recommended:

1. AI-Powered Threat Detection: Implement AI-driven threat detection systems capable of identifying and responding to AI-powered attacks in real time. These systems should include behavioural analysis, anomaly detection, and machine learning models trained on diverse datasets.
2. Enhanced Backup Strategies: Develop a more resilient backup strategy that includes offline, air-gapped, or immutable backups. Regularly test backup systems to ensure they can be restored quickly and effectively in the event of a ransomware attack.
3. Strengthened Network Segmentation: Re-architect the network with robust segmentation and micro-segmentation to limit the spread of malware. Critical systems should be isolated, and access should be tightly controlled and monitored.
4. Regular Vulnerability Assessments: Conduct frequent vulnerability assessments and patch management audits to ensure all systems are up to date. Implement automated patch management tools where possible to reduce the window of exposure to known vulnerabilities.
5. Advanced Phishing Defences: Deploy AI-powered anti-phishing tools that can detect and block sophisticated phishing attempts. Train staff regularly on the latest phishing tactics, including how to recognize AI-generated phishing emails.

9. Conclusion

The AI empowered ransomware attack on the Indian healthcare provider in 2024 makes it clear that the threat of advanced cyber attacks has grown in the healthcare facilities. Sophisticated technical brief outlines the steps used by hackers hence underlining the importance of ongoing active and strong security. This event is a stark message to all about the importance of not only remaining alert and implementing strong investments in cybersecurity but also embarking on the formulation of measures on how best to counter such incidents with limited harm. AI is now being used by cybercriminals to increase the effectiveness of the attacks they make and it is now high time all healthcare organisations ensure that their crucial systems and data are well protected from such attacks.

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Misinformation spread has become a cause for concern for all stakeholders, be it the government, policymakers, business organisations or the citizens. The current push for combating misinformation is rooted in the growing awareness that misinformation leads to sentiment exploitation and can result in economic instability, personal risks, and a rise in political, regional, and religious tensions. The circulation of misinformation poses significant challenges for organisations, brands and administrators of all types. The spread of misinformation online poses a risk not only to the everyday content consumer, but also creates concerns for the sharer but the platforms themselves. Sharing misinformation in the digital realm, intentionally or not, can have real consequences.

Consequences for Platforms

Platforms have been scrutinised for the content they allow to be published and what they don't. It is important to understand not only how this misinformation affects platform users, but also its impact and consequences for the platforms themselves. These consequences highlight the complex environment that social media platforms operate in, where the stakes are high from the perspective of both business and societal impact. They are:

• Legal Consequences: Platforms can be fined by regulators if they fail to comply with content moderation or misinformation-related laws and a prime example of such a law is the Digital Services Act of the EU, which has been created for the regulation of digital services that act as intermediaries for consumers and goods, services, and content. They can face lawsuits by individuals, organisations or governments for any damages due to misinformation. Defamation suits are part of the standard practice when dealing with misinformation-causing vectors.  In India, the Prohibition of Fake News on Social Media Bill of 2023 is in the pipeline and would establish a regulatory body for fake news on social media platforms. 
• Reputational Consequences: Platforms employ a trust model where the user trusts it and its content. If a user loses trust in the platform because of misinformation, it can reduce engagement. This might even lead to negative coverage that affects the public opinion of the brand, its value and viability in the long run. 
• Financial Consequences: Businesses that engage with the platform may end their engagement with platforms accused of misinformation, which can lead to a revenue drop. This can also have major consequences affecting the long-term financial health of the platform, such as a decline in stock prices.
• Operational Consequences: To counter the scrutiny from regulators, the platform might need to engage in stricter content moderation policies or other resource-intensive tasks, increasing operational costs for the platforms. 
• Market Position Loss: If the reliability of a platform is under question, then, platform users can migrate to other platforms, leading to a loss in the market share in favour of those platforms that manage misinformation more effectively.
• Freedom of Expression vs. Censorship Debate: There needs to be a balance between freedom of expression and the prevention of misinformation. Censorship can become an accusation for the platform in case of stricter content moderation and if the users feel that their opinions are unfairly suppressed. 
• Ethical and Moral Responsibilities: Accountability for platforms extends to moral accountability as they allow content that affects different spheres of the user's life such as public health, democracy etc. Misinformation can cause real-world harm like health misinformation or inciting violence, which leads to the fact that platforms have social responsibility too.

Misinformation has turned into a global issue and because of this, digital platforms need to be vigilant while they navigate the varying legal, cultural and social expectations across different jurisdictions. Efforts to create standardised practices and policies have been complicated by the diversity of approaches, leading platforms to adopt flexible strategies for managing misinformation that align with global and local standards.

Addressing the Consequences

These consequences can be addressed by undertaking the following measures:

• The implementation of a more robust content moderation system by the platforms using a combination of AI and human oversight for the identification and removal of misinformation in an effective manner. 
• Enhancing the transparency in platform policies for content moderation and decision-making would build user trust and reduce the backlash associated with perceived censorship. 
• Collaborations with fact checkers in the form of partnerships to help verify the accuracy of content and reduce the spread of misinformation.
• Engage with regulators proactively to stay ahead of legal and regulatory requirements and avoid punitive actions. 
• Platforms should Invest in media literacy initiatives and help users critically evaluate the content available to them. 

Final Takeaways

The accrual of misinformation on digital platforms has resulted in presenting significant challenges across legal, reputational, financial, and operational functions for all stakeholders. As a result, a critical need arises where the interlinked, but seemingly-exclusive priorities of preventing misinformation and upholding freedom of expression must be balanced. Platforms must invest in the creation and implementation of a robust content moderation system with in-built transparency, collaborating with fact-checkers, and media literacy efforts to mitigate the adverse effects of misinformation. In addition to this, adapting to diverse international standards is essential to maintaining their global presence and societal trust.

References

• https://pirg.org/edfund/articles/misinformation-on-social-media/ 
• https://www.mdpi.com/2076-0760/12/12/674
• https://scroll.in/article/1057626/israel-hamas-war-misinformation-is-being-spread-across-social-media-with-real-world-consequences 
• https://www.who.int/europe/news/item/01-09-2022-infodemics-and-misinformation-negatively-affect-people-s-health-behaviours--new-who-review-finds 

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