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Introduction:

A new Android malware called NGate is capable of stealing money from payment cards through relaying the data read by the Near Field Communication (“NFС”) chip to the attacker’s device. NFC  is a device which allows  devices such as smartphones to communicate over a short distance wirelessly.  In particular, NGate allows forging the victims’ cards and, therefore, performing fraudulent purchases or withdrawing money from ATMs. . 

 About NGate Malware: 

The whole purpose of NGate malware is to target victims’ payment cards by relaying the NFC data to the attacker’s device. The malware is designed to take advantage of phishing tactics and functionality of the NFC on android based devices. 

Modus Operandi: 

• Phishing Campaigns: The first step is spoofed emails or SMS used to lure the users into installing the  Progressive Web Apps (“PWAs”) or the WebAPKs presented as genuine banking applications. These apps usually have a layout and logo that makes them look like an authentic app of a Targeted Bank which makes them believable. 

• Installation of NGate: When the victim downloads the specific app, he or she is required to input personal details including account numbers and PIN numbers. Users are also advised to turn on or install  NFC on their gadgets and place the payment cards to the back part of the phone to scan the cards. 

• NFCGate Component: One of the main working features of the NGate is the NFCGate, an application created and designed by some students of Technical University of Darmstadt. This tool allows the malware to:
  • • Collect NFC traffic from payment cards in the vicinity. 
    • Transmit, or relay this data to the attacker’s device through a server. 
    • Repeat data that has been previously intercepted or otherwise copied.

It is important to note that some aspects of NFCGate mandate a rooted device; however, forwarding NFC traffic can occur with devices that are not rooted, and therefore can potentially ensnare more victims. ‍

Technical Mechanism of Data Theft:

• Data Capture: The malware exploits the NFC communication feature on android devices and reads the information from the payment card, if the card is near the infected device. It is able to intercept and capture the sensive card details.  

• Data Relay: The stolen information  is transmitted through a server to the attacker’s device so that he/she is in a position to mimic the victim’s card. 

• Unauthorized Transactions: Attackers get access to spend money on the merchants or withdraw money from the ATM that has NFC enabled. This capability marks a new level of Android malware in that the hackers are able to directly steal money without having to get hold of the card. 

Social Engineering Tactics: 

In most cases, attackers use social engineering techniques to obtain more information from the target before implementing the attack. In the second phase, attackers may pretend to be representatives of a bank that there is a problem with the account and offer to download a program called NGate, which in fact is a Trojan under the guise of an application for confirming the security of the account. This method makes it possible for the attackers to get ITPIN code from the sides of the victim, which enables them to withdraw money from the targeted person’s account without authorization. 

 Technical Analysis:

The analysis of malicious file hashes and phishing links are below:

Malicious File Hashes:

csob_smart_klic.apk:

• MD5: 7225ED2CBA9CB6C038D8
• Classification: Android/Spy.NGate.B

csob_smart_klic.apk:

• MD5: 66DE1E0A2E9A421DD16B
• Classification: Android/Spy.NGate.C

george_klic.apk:

• MD5: DA84BC78FF2117DDBFDC
• Classification: Android/Spy.NGate.C

george_klic-0304.apk:

• MD5: E7AE59CD44204461EDBD
• Classification: Android/Spy.NGate.C

rb_klic.apk:

• MD5: 103D78A180EB973B9FFC
• Classification: Android/Spy.NGate.A

rb_klic.apk:

• MD5: 11BE9715BE9B41B1C852
• Classification: Android/Spy.NGate.C.

Phishing URLs:

Phishing URL: 

• https://client.nfcpay.workers[.]dev/?key=8e9a1c7b0d4e8f2c5d3f6b2

Additionally, several distinct phishing websites have been identified, including:

• rb.2f1c0b7d.tbc-app[.]life
• geo-4bfa49b2.tbc-app[.]life
• rb-62d3a.tbc-app[.]life
• csob-93ef49e7a.tbc-app[.]life
• george.tbc-app[.]life.

Analysis:

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Broader Implications of NGate: 

The ultramodern features of NGate mean that its manifestation is not limited to financial swindling. An attacker can also generate a copy of NFC access cards and get  full access when hacking into restricted areas, for example, the corporate offices or restricted facility. Moreover, it is also safe to use the capacity to capture and analyze NFC traffic as threats to identity theft and other forms of cyber-criminality. 

Precautionary measures to be taken:

To protect against NGate and similar threats, users should consider the following strategies:

• Disable NFC: As mentioned above, NFC should be not often used, it is safe to turn NFC on Android devices off. This perhaps can be done from the general control of the device in which the bursting modes are being set. 

• Scrutinize App Permissions: Be careful concerning the permission that applies to the apps that are installed particularly the ones allowed to access the device. Hence, it is very important that applications should be downloaded only from genuine stores like Google Play Store only. 

• Use Security Software: The malware threat can be prevented by installing relevant security applications that are available in the market. 

• Stay Informed: As it has been highlighted, it is crucial for a person to know risks that are associated with the use of NFC while attempting to safeguard an individual’s identity. 

Conclusion: 

The presence of malware such as NGate is proof of the dynamism of threats in the context of mobile payments. Through the utilization of NFC function, NGate is a marked step up of Android malware implying that the attackers can directly manipulate the cash related data of the victims regardless of the physical aspect of the payment card. This underscores the need to be careful when downloading applications and to be keen on the permission one grants on the application. Turn NFC when not in use, use good security software and be aware of  the latest scams are some of the measures that help to fight this high level of financial fraud. The  attackers are now improving their methods. It is only right for the people and companies to take the right steps in avoiding the breach of privacy and identity theft.

Reference:

• https://www.welivesecurity.com/en/eset-research/ngate-android-malware-relays-nfc-traffic-to-steal-cash/
• https://therecord.media/android-malware-atm-stealing-czech-banks
• https://www.darkreading.com/mobile-security/nfc-traffic-stealer-targets-android-users-and-their-banking-info
• https://cybersecuritynews.com/new-ngate-android-malware/

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Introduction

Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.

What isQuantum computing?

Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.

‍Interconnected Future  

Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.

1. Enhancing AI Capabilities:

Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.

1. Solving Complex Problems:

The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.

1. Advancements in Finance and Optimisation:

The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.

1. Strengthening Cybersecurity:

Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.

1. Quantum-Inspired AI:

Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.

How Quantum Computing and AI Should be Regulated-

As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.

1. Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
2. Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
3. Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
4. International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
5. Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:

1. Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
2. Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
3. Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
4. Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
5. Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.

Conclusion:

‍Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.

Introduction

With the increasing frequency and severity of cyber-attacks on critical sectors, the government of India has formulated the National Cyber Security Reference Framework (NCRF) 2023, aimed to address cybersecurity concerns in India. In today’s digital age, the security of critical sectors is paramount due to the ever-evolving landscape of cyber threats. Cybersecurity measures are crucial for protecting essential sectors such as banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises. This is an essential step towards safeguarding these critical sectors and preparing for the challenges they face in the face of cyber threats. Protecting critical sectors from cyber threats is an urgent priority that requires the development of robust cybersecurity practices and the implementation of effective measures to mitigate risks.

Overview of the National Cyber Security Policy 2013

The National Cyber Security Policy of 2013 was the first attempt to address cybersecurity concerns in India. However, it had several drawbacks that limited its effectiveness in mitigating cyber risks in the contemporary digital age. The policy’s outdated guidelines, insufficient prevention and response measures, and lack of legal implications hindered its ability to protect critical sectors adequately. Moreover, the policy should have kept up with the rapidly evolving cyber threat landscape and emerging technologies, leaving organisations vulnerable to new cyber-attacks. The 2013 policy failed to address the evolving nature of cyber threats, leaving organisations needing updated guidelines to combat new and sophisticated attacks.

As a result, an updated and more comprehensive policy, the National Cyber Security Reference Framework 2023, was necessary to address emerging challenges and provide strategic guidance for protecting critical sectors against cyber threats.

Highlights of NCRF 2023

• Strategic Guidance: NCRF 2023 has been developed to provide organisations with strategic guidance to address their cybersecurity concerns in a structured manner.
• Common but Differentiated Responsibility (CBDR): The policy is based on a CBDR approach, recognising that different organisations have varying levels of cybersecurity needs and responsibilities.
• Update of National Cyber Security Policy 2013: NCRF supersedes the National Cyber Security Policy 2013, which was due for an update to align with the evolving cyber threat landscape and emerging challenges.
• Different from CERT-In Directives: NCRF is distinct from the directives issued by the Indian Computer Emergency Response Team (CERT-In) published in April 2023. It provides a comprehensive framework rather than specific directives for reporting cyber incidents.
• Combination of robust strategies: National Cyber Security Reference Framework 2023 will provide strategic guidance, a revised structure, and a proactive approach to cybersecurity, enabling organisations to tackle the growing cyberattacks in India better and safeguard critical sectors.

Rising incidents of malware attacks on critical sectors

In recent years, there has been a significant increase in malware attacks targeting critical sectors. These sectors, including banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises, play a crucial role in the functioning of economies and the well-being of societies. The escalating incidents of malware attacks on these sectors have raised concerns about the security and resilience of critical infrastructure.

• Banking: The banking sector handles sensitive financial data and is a prime target for cybercriminals due to the potential for financial fraud and theft.
• Energy: The energy sector, including power grids and oil companies, is critical for the functioning of economies, and disruptions can have severe consequences for national security and public safety.
• Healthcare: The healthcare sector holds valuable patient data, and cyber-attacks can compromise patient privacy and disrupt healthcare services. Malware attacks on healthcare organisations can result in the theft of patient records, ransomware incidents that cripple healthcare operations, and compromise medical devices.
• Telecommunications: Telecommunications infrastructure is vital for reliable communication, and attacks targeting this sector can lead to communication disruptions and compromise the privacy of transmitted data. The interconnectedness of telecommunications networks globally presents opportunities for cybercriminals to launch large-scale attacks, such as Distributed Denial-of-Service (DDoS) attacks.
• Transportation: Malware attacks on transportation systems can lead to service disruptions, compromise control systems, and pose safety risks.
• Strategic Enterprises: Strategic enterprises, including defence, aerospace, intelligence agencies, and other sectors vital to national security, face sophisticated malware attacks with potentially severe consequences. Cyber adversaries target these enterprises to gain unauthorised access to classified information, compromise critical infrastructure, or sabotage national security operations.
• Government Enterprises: Government organisations hold a vast amount of sensitive data and provide essential services to citizens, making them targets for data breaches and attacks that can disrupt critical services.

Conclusion  

The sectors of banking, energy, healthcare, telecommunications, transportation, strategic enterprises, and government enterprises face unique vulnerabilities and challenges in the face of cyber-attacks. By recognising the significance of safeguarding these sectors, we can emphasise the need for proactive cybersecurity measures and collaborative efforts between public and private entities. Strengthening regulatory frameworks, sharing threat intelligence, and adopting best practices are essential to ensure our critical infrastructure’s resilience and security. Through these concerted efforts, we can create a safer digital environment for these sectors, protecting vital services and preserving the integrity of our economy and society. The rising incidents of malware attacks on critical sectors emphasise the urgent need for updated cybersecurity policy, enhanced cybersecurity measures, a collaboration between public and private entities, and the development of proactive defence strategies. National Cyber Security Reference Framework 2023 will help in addressing the evolving cyber threat landscape, protect critical sectors, fill the gaps in sector-specific best practices, promote collaboration, establish a regulatory framework, and address the challenges posed by emerging technologies. By providing strategic guidance, this framework will enhance organisations’ cybersecurity posture and ensure the protection of critical infrastructure in an increasingly digitised world.