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Introduction

The Department of Telecommunications (DoT) has launched the 'Digital Intelligence Platform (DIP)'and the 'Chakshu' facility on the Sanchar Saathi portal to combat cybercrimes and financial frauds. Union telecom, IT and railways minister Ashwini Vaishnaw announced the initiatives, stating that the government has been working to counter cyber frauds at national, organizational, and individual levels. The Sanchar Saathi portal has successfully tackled such attacks, and the two new portals will further enhance the capacity to check any kind of cyber security threat.

The Digital Intelligence Platform is a secure and integrated platform for real-time intelligence sharing, information exchange, and coordination among stakeholders, including telecom operators, law enforcement agencies, banks, financial institutions, social media platforms, and identity document issuing authorities. It also contains information regarding cases detected as misuse of telecom resources.

The 'Chakshu' facility allows citizens to report suspected fraud communication received over call, SMS, or WhatsApp with the intention of defrauding, such as KYC expiry, bank account/payment wallet/SIM/gas connection/electricity connection, sextortion, impersonations a government official/relative for sending money, and disconnection of all mobile numbers by the Department of Telecommunications.

The launch of these proactive initiatives or steps represents another significant stride by the Ministry of Communications and the Department of Telecommunications in combating cybersecurity threats to citizens' digital assets.

In this age of technology, there is a reason to be concerned about the threats posed by cybercrooks to individuals and organizations. The risk of using digital means for communication, e-commerce, and critical infrastructure has increased significantly. It is important to have proper measures in place to prevent cybercrime and destructive behavior. The Department of Telecommunication has unveiled "Chakshu," a digital intelligence portal aimed at combating cybercrimes. This platform seeks to enhance the country's cyber defense capabilities by providing enforcement agencies with effective tools and actionable intelligence for countering cybercrimes, including financial frauds.

Digital Intelligence Platform (DIP)

Digital Intelligence Platform (DIP) developed by the Department of Telecommunications is a secure and integrated platform for real-time intelligence sharing, information exchange and coordination among the stakeholders i.e. Telecom Service Providers(TSPs), law enforcement agencies (LEAs), banks and financial institutions(FIs), social media platforms, identity document issuing authorities etc. The portal also contains information regarding the cases detected as misuse of telecom resources. The shared information could be useful to the stakeholders in their respective domains. It also works as a backend repository for the citizen-initiated requests on the Sanchar Saathi portal for action by the stakeholders. The DIP is accessible to the stakeholders through secure connectivity, and the relevant information is shared based on their respective roles. However, the platform is not accessible to citizens.‍

What is Chakshu?

Chakshu, which means “eye” in Hindi, is a new feature on the Sanchar Saathi portal. This citizen-friendly platform allows you to report suspicious communication you receive via calls, SMS, or WhatsApp. “Chakshu” is a new advanced tool to safeguard against modern-day cybercriminal activities. Chakshu is a sophisticated design that uses the latest technologies for assembling and analyzing digital information and provides law enforcement agencies with useful data on what should be done next. Below are some of its attributes.

Here are some examples of what you can report:

-       Fraudulent messages claiming your KYC (Know Your Customer)details need to be updated.

-       Fraudulent requests to update your bank account, payment wallet, or SIM card details.

-       Phishing attempts impersonating government officials or relatives asking for money.

-       Fraudulent threats of disconnection of your sim connections.

How Chakshu Aims to crackdown Cybercrime and Financial Frauds

Chakshu is a new tool on the Sanchar Saathi platform that invites individuals to report suspected fraudulent communications received by phone, SMS, or WhatsApp. These fraudulent activities may include attempts to deceive individuals through schemes such as KYC expiry or update requests for bank accounts, payment wallets, SIM cards, gas connections, and electricity connections, sextortion, impersonation of government officials or relatives for financial gain, or false claims of mobile number disconnection by the Department of Telecommunications.

The tool is well-designed and equipped to help the investigators with actionable intelligence and insights, enabling LEAs to conduct targeted investigations on financial frauds and cyber-crimes; the tool helps in gathering a comprehensive data analysis and evidence collection capability by mapping out the connection between individuals, organizations and illicit activities, it, therefore, allows the law enforcement agencies in dismantling criminal activities and help the law enforcement agencies.

Chakshu’s Impact

India has launched Chakshu, a digital intelligence tool that strengthens the country's cybersecurity policy. Chakshu employs modern technology and real-time data analysis to enhance India's cyber defenses. Law enforcement can detect and neutralize possible threats by taking proactive approach to threat analysis and prevention before they become significant crises. Chakshu also improves the resilience of critical infrastructure and digital ecosystems, safeguarding them against cyber-attacks. Overall, Chakshu plays an important role in India's cybersecurity posture and the protection of national interests in the digital era.

Where can Chaksu be accessed?

Chakshu can be accessed through the government's Sanchar Saathi web portal:https://sancharsaathi.gov.in

Conclusion

The launch of the Digital Intelligence Platform and Chakshu facility is a step forward in safeguarding citizens from cybercrimes and financial fraud. These initiatives use advanced technology and stakeholder collaboration to empower law enforcement agencies. The Department of Telecommunications' proactive approach demonstrates the government's commitment to cybersecurity defenses and protecting digital assets, ensuring a safer digital environment for citizens and critical infrastructure.

References

• https://telecom.economictimes.indiatimes.com/news/policy/dot-launches-digital-intelligence-portal-chakshu-facility-to-curb-cybercrimes-financial-frauds/108220814
• https://bankingfrontiers.com/digital-intelligence-platform-launched-to-curb-cybercrime-financial-fraud/
• https://www.business-standard.com/india-news/calcutta-hc-justice-abhijit-gangopadhyay-sends-his-resignation-to-prez-cji-124030500367_1.html
• https://www.the420.in/dip-chakshu-government-launches-powerful-weapons-against-cybercrime/
• https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2011383

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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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On June 5th, the world comes together to reflect on how the way we live impacts the environment.  We discuss conserving water, cutting back on plastic, and planting trees, but how often do we think about the environmental impact of our digital lives?

The internet is ubiquitous but invisible in a world that is becoming more interconnected by the day. It drives our communications, meetings, and recollections. However, there is a price for this digital convenience: carbon emissions.

A Digital Carbon Footprint: What Is It?

Electricity is necessary for every video we stream, email we send, and file we store on the cloud. But almost 60% of the electricity produced today is generated from burning fossil fuels. The digital world uses an incredible amount of energy, from the energy-hungry data centres that house our information to the networks that send it. Thus, the greenhouse gas emissions produced by our use of digital tools and services are referred to as our "digital carbon footprint." 

To put it in perspective:

• Up to 150–200 grams of CO₂ can be produced by streaming an hour-long HD video on your phone.

• A typical email sent can release about 4 grams of CO₂, and more if it contains attachments.
• Comparable to the airline industry, the internet as a whole accounts for 1.5% to 4% of global greenhouse gas emissions.

Why It Matters 

Ironically, despite the fact that digital life frequently feels "clean" and weightless, it is backed by enormous, power-hungry infrastructures. Additionally, our online activity is growing at a rapid pace as digital penetration increases. Plus, with the advent of AI and big data, the demand for energy is only going to rise. The harms of air, water, and soil degradation, and biodiversity loss are already upon us.  It's high time we reconsider how we use technology on World Environment Day.

What Can You Do? 

The good news is that even minor adjustments to our online conduct can have an impact. 

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🗑️ Clear out your digital clutter by getting rid of unnecessary emails, apps, and files.

📥 Unsubscribe from mailing lists that you no longer use.

📉 When HD is not required, stream videos with lower quality.

⚡ Make use of energy-saving gadgets and disconnect them when not in use.

🌐 Make the move to renewable energy-powered, environmentally friendly cloud providers.

🗳️ Support informed policy by engaging with your elected representatives and advocating for greener tech policies. Knowing your digital rights and responsibilities can help shape smarter policies and a healthier planet.

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We at the CyberPeace Foundation think that cyberspace needs to be sustainable. An eco-friendly digital world is also a safer one, where all communities can thrive in harmony. We must promote digital responsibility, including its environmental component, as we work towards digital equity and resilience.

On this World Environment Day, let's go one step further and work towards a greener internet as well as a greener planet.

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