#FactCheck: Misleading Claim Amid West Asia Conflict: Old Yemen Video Shared as Iran’s Attack on Tel Aviv

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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Introduction

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In the sprawling and ever-evolving landscape of cybercrime, phishing links, phoney emails, and dubious investment offers are no longer the only tools used by scammers. Cybercriminals are becoming skilled at taking advantage of commonplace digital behaviours, undermining confidence, and turning popular features of our most essential apps into weapons. A fast expanding international threat has been revealed by the National Cybercrime Threat Analytics Unit (NCTAU) of the Indian Cybercrime Coordination Centre(I4C)’s most recent advisory on “WhatsApp account renting”. This scam uses QR codes to trick users into connecting their WhatsApp accounts to fraudulent sites under the guise of a “quick income” opportunity. What initially appears innocuous turns into a tool for thieves to take control of accounts and use them for illicit purposes. 

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The Global Rise of Cyber Mule Networks

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Initially the word “mule” in cybercrime networks referred to a bank account used, knowingly often unknowingly, to transfer or “launder” money obtained from fraud and illegal activities. In light of the evolving nature of this cybercrime, Cyber mules in the present scenario can be referred to as, individuals who knowingly or unknowingly allow their digital identities, devices, or bank accounts to be used for illegal activity. 

Various cybersecurity companies as well as Europol and Interpol, have frequently cautioned that hackers are increasingly using digital mule recruiting, which frequently takes the form of the following:

• Work-from-home Offers
• Streams of passive income
• Monetisation of social media
• Roles for verification assistants 
• Apps that earn commissions

Earlier versions involved money transfers through personal bank accounts . Criminals now want your digital identity rather than just your money, as the trend has been reported to be changing. 

Scammers frequently “rent” victims’ Facebook, LINE, Telegram, and WeChat accounts in parts of Southeast Asia and Africa in order to conduct impersonation frauds or assist with criminal operations. The WhatsApp variant that is making its way to India is a logical progression, although it comes only with the widely used WhatsApp Web linked-device capability. 

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How the WhatsApp Account Renting Scam Works

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I4C’s advisory dated 15th October, 2025, highlights a sophisticated yet psychologically simple scheme that exploits trust, curiosity, and the illusion of easy income.The scam’s lifetime is as follows:

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‍1. The Hook: “Automatically Earn Passive Income”

Threat actors claim users can earn daily rewards by connecting their WhatsApp accounts to a new “partner platform” in their polished and professional Instagram and Facebook ads.

This strategy imitates international scam factories in Cambodia and Myanmar, where victims are lured into investment schemes or bogus tasks by social media advertisements.

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2.The Redirect: Rogue APKs & Fake Websites

When victims click on the advertisement, they are sent to

• Fake dashboards for earnings 
• Untrustworthy websites that imitate authentic financial interfaces
• Instructions for installing Android APKs from sources other than the Play Store
• These APKs often carry spyware or remote-access malware.

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3.The Trap: Scanning a QR Code

The user is asked to scan a QR code through WhatsApp’s “Linked Devices” feature, which is normally used for WhatsApp Web.

Without ever touching the victim’s phone, the con artist obtains complete session access to their WhatsApp account as soon as the QR is scanned.

Threat actors are able to:

• Transmit and receive messages
• Get access to contact lists 
• Participate in or start groups 
• Assume the victim’s identity
• Conduct frauds using their identities

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4.The Illusion: A Multi-Level Commission Structure

A pyramid-style earnings model is displayed to maintain credibility:

• 10% off direct invites
• 5% of secondary invites
• 2% of tertiary invitations

These figures are designed to encourage victims to recruit more users, increasing the number of compromised WhatsApp accounts.

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5.The Misuse: “Mule WhatsApp accounts”

The victim’s account becomes a digital mule once it is connected, allowing fraudsters to:

• Start UPI fraud and phishing
• Distribute harmful links
• Impersonate the victim to scam their contacts
• Participate in bulk messaging campaigns
• Get additional mule accounts

Precautions Issued by I4C

I4C has advised citizens to take the following precautions:

• You could face criminal charges or similar consequences if you carelessly rent or link your WhatsApp account for money
• Installing APKs from non-official app shops should be avoided
• Advertisements that promise automatic revenue, referral bonuses, or passive income should be avoided.
• Regularly check linked devices on WhatsApp: Settings → Linked Devices
• Use WhatsApp’s Official support page to report hacked accounts or impersonation: https://www.whatsapp.com/contact/forms/1534459096974129 
• Report financial fraud immediately by calling 1930 or visiting cybercrime.gov.in 

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CyberPeace Outlook

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The WhatsApp account rental fraud is not an isolated phenomenon; rather, it is the latest mutation of a global cybercrime apparatus that feeds on social engineering, digital identity theft, and international mule networks. Its simplicity, all it takes to take over your digital life is a QR code scan, makes it especially hazardous. I4C’s timely warning serves as an important reminder that easy money is nearly always a trap in the digital world and that, if we let our guard down, our most reliable platforms can become attack surfaces. Stay informed, and stay safe. In order to protect our identities, data, and communities, cyber hygiene is now a must.  

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References 

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• https://www.cnbctv18.com/personal-finance/mule-account-fraud-on-the-rise-what-it-is-and-how-to-shttps://i4c.mha.gov.in/theme/resources/advisories/Mule%20Whatsapp%20V1.4.pdftay-safe-19662507.htm 
• https://i4c.mha.gov.in/theme/resources/advisories/Mule%20Whatsapp%20V1.4.pdf 

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Executive Summary:

An old video dated 2023 showing the arrest of a Bangladeshi migrant for murdering a Polish woman has been going viral massively on social media claiming that he is an Indian national. This viral video was fact checked and debunked. 

Claim:

The video circulating on social media alleges that an Indian migrant was arrested in Greece for assaulting a  young Christian girl. It has been shared with narratives maligning Indian migrants. The post was first shared on Facebook by an account known as “Voices of hope” and has been shared in the report as well. 

Post Link

Facts:

The CyberPeace Research team has utilized Google Image Search to find the original source of the claim. Upon searching we find the original news report published by Greek City Times in June 2023.

Post Link

The person arrested in the video clip is a Bangladeshi migrant and not of Indian origin. CyberPeace Research Team assessed the available police reports and other verifiable sources to confirm that the arrested person is Bangladeshi.

The video has been dated 2023, relating to a case that occurred in Poland and relates to absolutely nothing about India migrants.

Neither the Polish government nor authorized news agency outlets reported Indian citizens for the controversy in question.

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Original Post Link

Conclusion:

The viral video falsely implicating an Indian migrant in a Polish woman’s murder is misleading. The accused is a Bangladeshi migrant, and the incident has been misrepresented to spread misinformation. This highlights the importance of verifying such claims to prevent the spread of xenophobia and false narratives.

• Claim: Video shows an Indian immigrant being arrested in Greece for allegedly assaulting a young Christian girl.
• Claimed On: X (Formerly Known As Twitter) and Facebook.
• Fact Check: Misleading.