#FactCheck - Viral image claiming to show injury marks of the MP Kangana Ranaut slapped is fake & misleading

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.

‍

SVIMS Director and Vice-Chancellor B. Vengamma lighting a lamp to formally launch the cybercrime awareness programme conducted by the police department for the medical students in Tirupati on Wednesday.

An awareness meet on safe Internet practices was held for the students of Sri Venkateswara University University (SVU) and Sri Venkateswara Institute of Medical Sciences (SVIMS) here on Wednesday.

“Cyber criminals on the prowl can easily track our digital footprint, steal our identity and resort to impersonation,” cyber expert I.L. Narasimha Rao cautioned the college students.

Addressing the students in two sessions, Mr. Narasimha Rao, who is a Senior Manager with CyberPeace Foundation, said seemingly common acts like browsing a website, and liking and commenting on posts on social media platforms could be used by impersonators to recreate an account in our name.

Turning to the youth, Mr. Narasimha Rao said the incognito mode and Virtual Private Network (VPN) used as a protected network connection do not ensure total privacy as third parties could still snoop over the websites being visited by the users. He also cautioned them tactics like ‘phishing’, ‘vishing’ and ‘smishing’ being used by cybercriminals to steal our passwords and gain access to our accounts.

“After cracking the whip on websites and apps that could potentially compromise our security, the Government of India has recently banned 232 more apps,” he noted.

Additional Superintendent of Police (Crime) B.H. Vimala Kumari appealed to cyber victims to call 1930 or the Cyber Mitra’s helpline 9121211100. SVIMS Director B. Vengamma stressed the need for caution with smartphones becoming an indispensable tool for students, be it for online education, seeking information, entertainment or for conducting digital transactions.

Reference Link: https://www.thehindu.com/news/national/andhra-pradesh/students-cautioned-against-leaving-digital-footprint-at-cybercrime-awareness-meet-in-tirupati/article66486031.ece

Introduction

Big Tech has been pushing back against regulatory measures, particularly regarding data handling practices. X Corp (formerly Twitter) has taken a prominent stance in India. The platform has filed a petition against the Central and State governments, challenging content-blocking orders and opposing the Center’s newly launched Sahyog portal.  The X Corp has furthermore labelled the Sahyog Portal as a 'censorship portal' that enables government agencies to issue blocking orders using a standardized template.

The key regulations governing the tech space in India include the IT Act of 2000,  IT Rules 2021 and 2023 (which stress platform accountability and content moderation), and the DPDP Act 2023, which intersects with personal data governance. This petition by the X Corp raises concerns for digital freedom, platform accountability, and the evolving regulatory frameworks in India. 

Elon Musk vs Indian Government: Key Issues at Stake

The 2021 IT Rules, particularly Rule 3(1)(d) of Part II, outline intermediaries' obligations regarding ‘Content Takedowns’. Intermediaries must remove or disable access to unlawful content within 36 hours of receiving a court order or government notification. Notably, the rules do not require government takedown requests to be explicitly in writing, raising concerns about potential misuse. 

X’s petition also focuses on the Sahyog Portal, a government-run platform that allows various agencies and state police to request content removal directly. They contend that the failure to comply with such orders can expose intermediaries' officers to prosecution. This has sparked controversy, with platforms like Elon Musk’s X arguing that such provisions grant the government excessive control, potentially undermining free speech and fostering undue censorship.

The broader implications include geopolitical tensions, potential business risks for big tech companies, and significant effects on India's digital economy, user engagement, and platform governance. Balancing regulatory compliance with digital rights remains a crucial challenge in this evolving landscape.

The Global Context: Lessons from Other Jurisdictions

The ‘EU's Digital Services Act’ establishes a baseline 'notice and takedown' system. According to the Act, hosting providers, including online platforms, must enable third parties to notify them of illegal content, which they must promptly remove to retain their hosting defence. The DSA also mandates expedited removal processes for notifications from trusted flaggers, user suspension for those with frequent violations, and enhanced protections for minors. Additionally, hosting providers have to adhere to specific content removal obligations, including the elimination of terrorist content within one hour and deploying technology to detect known or new CSAM material and remove it.

In contrast to the EU, the US First Amendment protects speech from state interference but does not extend to private entities. Dominant digital platforms, however, significantly influence discourse by moderating content, shaping narratives, and controlling advertising markets. This dual role creates tension as these platforms balance free speech, platform safety, and profitability.

India has adopted a model closer to the EU's approach, emphasizing content moderation to curb misinformation, false narratives, and harmful content. Drawing from the EU's framework, India could establish third-party notification mechanisms, enforce clear content takedown guidelines, and implement detection measures for harmful content like terrorist material and CSAM within defined timelines. This would balance content regulation with platform accountability while aligning with global best practices.

Key Concerns and Policy Debates

As the issue stands, the main concerns that arise are:

1. The need for transparency in government orders for takedowns, the reasons and a clear framework for why they are needed and the guidelines for doing so. 
2. The need for balancing digital freedom with national security and the concerns that arise out of it for tech companies. Essentially, the role platforms play in safeguarding the democratic values enshrined in the Constitution of India. 
3. This court ruling by the Karnataka HC will have the potential to redefine the principles upon which the intermediary guidelines function under the Indian laws. 

Potential Outcomes and the Way Forward

While we wait for the Hon’ble Court’s directives and orders in response to the filed suit, while the court's decision could favour either side or lead to a negotiated resolution, the broader takeaway is the necessity of collaborative policymaking that balances governmental oversight with platform accountability. This debate underscores the pressing need for a structured and transparent regulatory framework for content moderation. Additionally, this case also highlights the importance of due process in content regulation and the need for legal clarity for tech companies operating in India. Ultimately, a consultative and principles-based approach will be key to ensuring a fair and open digital ecosystem.

References

• https://www.thehindu.com/sci-tech/technology/elon-musks-x-sues-union-government-over-alleged-censorship-and-it-act-violations/article69352961.ece
• https://www.hindustantimes.com/india-news/elon-musk-s-x-sues-union-government-over-alleged-censorship-and-it-act-violations-101742463516588.html
• https://www.financialexpress.com/life/technology-explainer-why-has-x-accused-govt-of-censorship-3788648/
• https://thelawreporters.com/elon-musk-s-x-sues-indian-government-over-alleged-censorship-and-it-act-violations ‍
• https://www.linklaters.com/en/insights/blogs/digilinks/2023/february/the-eu-digital-services-act---a-new-era-for-online-harms-and-intermediary-liability