#FactCheck-Fake Video of Mass Cheating at UPSC Exam Circulates Online

Introduction

Have you ever wondered how the internet works? Yes, there are screens and wires, but what’s going on beneath the surface? Every time you open a website, send an email, chat on messaging apps, or stream movies, you’re relying on something you probably don’t think about: the TCP/IP protocol suite. Without it, the internet as we know it wouldn’t exist. Let’s take a look at why this unassuming set of rules allows us to connect to anyone anywhere in the world. 

The Problem: Networks That Couldn't Talk to Each Other

The internet is widely called a network of networks. A network is a group of devices that are connected and can share data with each other. 

Researchers and governments began building early computer networks in the 1960s and 70s. But as the Cold War intensified, the U.S. military felt the need to establish a robust data-sharing infrastructure through interconnected networks that could withstand attacks. At the time, each network had different standards and protocols, which meant getting networks to communicate wasn’t easy or efficient. One network would have to be subsumed into another. This would lead to major problems in the reliability of data relay, flexibility of including more nodes, scalability of the interconnected network, and innovation.

The Breakthrough: Open Architecture Networking

This changed in the 1970s, when Bob Kahn proposed the concept of open architecture networking. It was a simple but revolutionary idea. He envisioned a system where all networks could talk to each other as equals. In this conceptualisation, all networks, even though unique in design and interface, could connect as peers to facilitate end-to-end communication. End-to-end communication helps deliver data between the source and destination without relying on intermediate nodes to control or modify it. This helps to make data relay more reliable and less prone to errors. 

Along with Vint Cerf, he developed a network protocol, the TCP/IP suite, that would go on to enable different networks across satellite, wired, and non-wired domains to communicate with one another.  

What Is TCP/IP?

TCP/IP stands for Transmission Control Protocol / Internet Protocol. It’s a set of communication rules that allow computers and devices to exchange information across different networks. 

It’s powerful because: 

• Layered and open architecture: Each function (like data delivery or routing) is handled by a specific layer. This modular design makes it easy to build new technologies like the World Wide Web or streaming services on top of it.
• Decentralisation: There's no single point of control. Any device can connect to another across the internet, making it scalable and resilient.
• Standardisation: TCP/IP works across all kinds of hardware and operating systems, making it truly universal. 

The Core Components

• TCP (Transmission Control Protocol): Ensures that data is delivered accurately and in order. If any piece is lost or duplicated, TCP handles it.
• IP (Internet Protocol): Handles addressing and routing. It decides where each packet of data should go and how it gets there.
• UDP (User Datagram Protocol): A lightweight version of TCP, used when speed is more important than accuracy, such as for video calls or online gaming.

Why It Matters

The TCP/IP protocol suite introduced a set of standardised guidelines that enable networks to communicate, thereby laying the foundation of the Internet. It has made the Internet global, open, reliable, interoperable, scalable, and resilient, — features because of which the Internet has come to become the backbone of modern communication systems. So the next time you open a browser or send a message, remember: it’s TCP/IP quietly making it all possible.

References

• https://www.techtarget.com/searchnetworking/definition/ARPANET
• https://www.internetsociety.org/internet/history-internet/brief-history-internet/ 
• https://www.geeksforgeeks.org/tcp-ip-model/ 
• https://www.oreilly.com/library/view/tcpip-network-administration/0596002971/ch01.html 

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Executive Summary:

QakBot, a particular kind of banking trojan virus, is capable of stealing personal data, banking passwords, and session data from a user's computer. Since its first discovery in 2009, Qakbot has had substantial modifications.

C2 Server commands infected devices and receives stolen data, which is essentially the brain behind Qakbot's operations.Qakbot employs PEDLL (Communication Files), a malicious program, to interact with the server in order to accomplish its main goals. Sensitive data, including passwords or personal information, is taken from the victims and sent to the C2 server. Referrer files start the main line of communication between Qakbot and the C2 server, such as phishing papers or malware droppers. WHOIS data includes registration details for this server, which helps to identify its ownership or place of origin.

This report specifically focuses on the C2 server infrastructure located in India, shedding light on its architecture, communication patterns, and threat landscape.

Introduction:

QakBot is also known as Pinkslipbot, QuakBot, and QBot, capable of stealing personal data, banking passwords, and session data from a user's computer. Malware is bad since it spreads very quickly to other networks, affecting them like a worm.,It employs contemporary methods like web injection to eavesdrop on customer online banking interactions. Qakbot is a member of a kind of malware that has robust persistence techniques, which are said to be the most advanced in order to gain access to compromised computers for extended periods of time.
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Technical Analysis: 

The following IP addresses have been confirmed as active C2 servers supporting Qbot malware activity:

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Sample IP's

• 123.201.40[.]112
• 117.198.151[.]182
• 103.250.38[.]115
• 49.33.237[.]65
• 202.134.178[.]157
• 124.123.42[.]115
• 115.96.64[.]9
• 123.201.44[.]86
• 117.202.161[.]73
• 136.232.254[.]46

These servers have been operational in the past 14 days (report created in the month of Nov) and are being leveraged to perpetuate malicious activities globally.

URL/IP: 123.201.40[.]112

• inetnum: 123.201.32[.]0 - 123.201.47[.]255
• netname: YOUTELE
• descr: YOU Telecom India Pvt Ltd
• country: IN
• admin-c: HA348-AP
• tech-c: NI23-AP
• status: ASSIGNED NON-PORTABLE 
• mnt-by: MAINT-IN-YOU
• last-modified: 2022-08-16T06:43:19Z
• mnt-irt: IRT-IN-YOU
• source: APNIC
• irt: IRT-IN-YOU
• address: YOU Broadband India Limited
• address: 2nd Floor, Millennium Arcade
• address: Opp. Samarth Park, Adajan-Hazira Road
• address: Surat-395009,Gujarat
• address: India
• e-mail: abuse@youbroadband.co.in
• abuse-mailbox: abuse@youbroadband.co.in 
• admin-c: HA348-AP
• tech-c: NI23-AP
• auth: # Filtered
• mnt-by: MAINT-IN-YOU
• last-modified: 2022-08-08T10:30:51Z
• source: APNIC
• person: Harindra Akbari
• nic-hdl: HA348-AP
• e-mail: harindra.akbari@youbroadband.co.in
• address: YOU Broadband India Limited
• address: 2nd Floor, Millennium Arcade
• address: Opp. Samarth Park, Adajan-Hazira Road
• address: Surat-395009,Gujarat
• address: India
• phone: +91-261-7113400
• fax-no: +91-261-2789501
• country: IN
• mnt-by: MAINT-IN-YOU
• last-modified: 2022-08-10T11:01:47Z
• source: APNIC
• person: NOC IQARA
• nic-hdl: NI23-AP
• e-mail: network@youbroadband.co.in
• address: YOU Broadband India Limited
• address: 2nd Floor, Millennium Arcade
• address: Opp. Samarth Park, Adajan-Hazira Road
• address: Surat-395009,Gujarat
• address: India
• phone: +91-261-7113400
• fax-no: +91-261-2789501
• country: IN
• mnt-by: MAINT-IN-YOU
• last-modified: 2022-08-08T10:18:09Z
• source: APNIC
• route: 123.201.40.0/24
• descr: YOU Broadband & Cable India Ltd.
• origin: AS18207
• mnt-lower: MAINT-IN-YOU
• mnt-routes: MAINT-IN-YOU
• mnt-by: MAINT-IN-YOU
• last-modified: 2012-01-25T11:25:55Z
• source: APNIC

IP 123.201.40[.]112 uses the requested URL-path to make a GET request on the IP-address at port 80. "NOT RESPONDED" is the response status code for the request "C:\PROGRAM FILES GOOGLE CHROME APPLICATION CHROME.EXE" that was started by the process. 

Programs that retrieve their server data using a GET request are considered legitimate. The Google Chrome browser, a fully functional application widely used for web browsing, was used to make the actual request. It asks to get access to the server with IP 123.201.40[.]112 in order to collect its data and other resources. 

Malware uses GET requests to retrieve more commands or to send data back to the command and control servers. In this instance, it may be an attack server making the request to a known IP address with a known port number. Since the server has not replied to the request, the response status "NOT RESPONDED" may indicate that the activity was carried out with malicious intent.

This graph illustrates how the Qakbot virus operates and interacts with its C2 server, located in India and with the IP address 123.201.40[.]112. 

Impact

Qbot is a kind of malware that is typically distributed through hacked websites, malicious email attachments, and phishing operations. It targets private user information, including corporate logins or banking passwords. The deployment of ransomware: Payloads from organizations such as ProLock and Egregor ransomware are delivered by Qbot, a predecessor. Network Vulnerability: Within corporate networks, compromised systems will act as gateways for more lateral movement.

Proposed Recommendations for Mitigation

• Quick Action: To stop any incoming or outgoing traffic, the discovered IP addresses will be added to intrusion detection/prevention systems and firewalls.
• Network monitoring: Examining network log information for any attempts to get in touch with these IPs
• Email security: Give permission for anti-phishing programs.
• Endpoint Protection: To identify and stop Qbot infestations, update antivirus definitions.,Install tools for endpoint detection and response.
• Patch management: To reduce vulnerabilities that Qbot exploits, update all operating systems and software on a regular basis.
• Incident Response: Immediately isolate compromised computers.
• Awareness: Dissemination of this information to block the IP addresses of active C2 servers supporting Qbot malware activity has to be carried out.

Conclusion:

The discovery of these C2 servers reveals the growing danger scenario that Indian networks must contend with. To protect its infrastructure from future abuse, organizations are urged to act quickly and put the aforementioned precautions into place. 

Reference: 

• Threat Intelligence - ANY.RUN
• https://www.virustotal.com/gui
• https://www.virustotal.com/gui/ip-address/123.201.40.112/relations

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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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