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Executive Summary:

Given that AI technologies are evolving at a fast pace in 2024, an AI-oriented phishing attack on a large Indian financial institution illustrated the threats. The documentation of the attack specifics involves the identification of attack techniques, ramifications to the institution, intervention conducted, and resultant effects. The case study also turns to the challenges connected with the development of better protection and sensibilisation of automatized threats. 

Introduction

Due to the advancement in AI technology, its uses in cybercrimes across the world have emerged significant in financial institutions. In this report a serious incident that happened in early 2024 is analysed, according to which a leading Indian bank was hit by a highly complex, highly intelligent AI-supported phishing operation. Attack made use of AI’s innate characteristic of data analysis and data persuasion which led into a severe compromise of the bank’s internal structures.

Background

The chosen financial institution, one of the largest banks in India, had a good background regarding the extremity of its cybersecurity policies. However, these global cyberattacks opened up new threats that AI-based methods posed that earlier forms of security could not entirely counter efficiently. The attackers concentrated on the top managers of the bank because it is evident that controlling such persons gives the option of entering the inner systems as well as financial information. 

Attack Execution

The attackers utilised AI in sending the messages that were an exact look alike of internal messages sent between employees. From Facebook and Twitter content, blog entries, and lastly, LinkedIn connection history and email tenor of the bank’s executives, the AI used to create these emails was highly specific. Some of these emails possessed official formatting, specific internal language, and the CEO’s writing; this made them very realistic. 

 It also used that link in phishing emails that led the users to a pseudo internal portal in an attempt to obtain the login credentials. Due to sophistication, the targeted individuals thought the received emails were genuine, and entered their log in details easily to the bank’s network, thus allowing the attackers access. 

Impact

It caused quite an impact to the bank in every aspect. Numerous executives of the company lost their passwords to the fake emails and compromised several financial databases with information from customer accounts and transactions. The break-in permitted the criminals to cease a number of the financial’s internet services hence disrupting its functions and those of its customers for a number of days. 

 They also suffered a devastating blow to their customer trust because the breach revealed the bank’s weakness against contemporary cyber threats. Apart from managing the immediate operations which dealt with mitigating the breach, the financial institution was also toppling a long-term reputational hit. 

Technical Analysis and Findings

1. The AI techniques that are used in generation of the phishing emails are as follows: 

•  The attack used powerful NLP technology, which was most probably developed using the large-scaled transformer, such as GPT (Generative Pre-trained Transformer). Since these models are learned from large data samples they used the examples of the conversation pieces from social networks, emails and PC language to create quite credible emails. 

 Key Technical Features: 

•  Contextual Understanding: The AI was able to take into account the nature of prior interactions and thus write follow up emails that were perfectly in line with prior discourse. 
•  Style Mimicry: The AI replicated the writing of the CEO given the emails of the CEO and then extrapolated from the data given such elements as the tone, the language, and the format of the signature line. 
•  Adaptive Learning: The AI actively adapted from the mistakes, and feedback to tweak the generated emails for other tries and this made it difficult to detect. 

2. Sophisticated Spear-Phishing Techniques

Unlike ordinary phishing scams, this attack was phishing using spear-phishing where the attackers would directly target specific people using emails. The AI used social engineering techniques that significantly increased the chances of certain individuals replying to certain emails based on algorithms which machine learning furnished. 

 Key Technical Features: 

•  Targeted Data Harvesting: Cyborgs found out the employees of the organisation and targeted messages via the public profiles and messengers were scraped. 
•  Behavioural Analysis: The latest behaviour pattern concerning the users of the social networking sites and other online platforms were used by the AI to forecast the courses of action expected to be taken by the end users such as clicking on the links or opening of the attachments. 
•  Real-Time Adjustments: These are times when it was determined that the response to the phishing email was necessary and the use of AI adjusted the consequent emails’ timing and content. 

3. Advanced Evasion Techniques

The attackers were able to pull off this attack by leveraging AI in their evasion from the normal filters placed in emails. These techniques therefore entailed a modification of the contents of the emails in a manner that would not be easily detected by the spam filters while at the same time preserving the content of the message. 

Key Technical Features: 

•  Dynamic Content Alteration: The AI merely changed the different aspects of the email message slightly to develop several versions of the phishing email that would compromise different algorithms. 
•  Polymorphic Attacks: In this case, polymorphic code was used in the phishing attack which implies that the actual payloads of the links changed frequently, which means that it was difficult for the AV tools to block them as they were perceived as threats. 
•  Phantom Domains: Another tactic employed was that of using AI in generating and disseminating phantom domains, that are actual web sites that appear to be legitimate but are in fact short lived specially created for this phishing attack, adding to the difficulty of detection. 

4. Exploitation of Human Vulnerabilities

This kind of attack’s success was not only in AI but also in the vulnerability of people, trust in familiar language and the tendency to obey authorities. 

Key Technical Features: 

•  Social Engineering: As for the second factor, AI determined specific psychological principles that should be used in order to maximise the chance of the targeted recipients opening the phishing emails, namely the principles of urgency and familiarity. 
•  Multi-Layered Deception: The AI was successfully able to have a two tiered approach of the emails being sent as once the targeted individuals opened the first mail, later the second one by pretext of being a follow up by a genuine company/personality. 

Response

On sighting the breach, the bank’s cybersecurity personnel spring into action to try and limit the fallout. They reported the matter to the Indian Computer Emergency Response Team (CERT-In) to find who originated the attack and how to block any other intrusion. The bank also immediately started taking measures to strengthen its security a bit further, for instance, in filtering emails, and increasing the authentication procedures. 

 Knowing the risks, the bank realised that actions should be taken in order to enhance the cybersecurity level and implement a new wide-scale cybersecurity awareness program. This programme consisted of increasing the awareness of employees about possible AI-phishing in the organisation’s info space and the necessity of checking the sender’s identity beforehand.

Outcome

Despite the fact and evidence that this bank was able to regain its functionality after the attack without critical impacts with regards to its operations, the following issues were raised. Some of the losses that the financial institution reported include losses in form of compensation of the affected customers and costs of implementing measures to enhance the financial institution’s cybersecurity. However, the principle of the incident was significantly critical of the bank as customers and shareholders began to doubt the organisation’s capacity to safeguard information in the modern digital era of advanced artificial intelligence cyber threats. 

 This case depicts the importance for the financial firms to align their security plan in a way that fights the new security threats. The attack is also a message to other organisations in that they are not immune from such analysis attacks with AI and should take proper measures against such threats.

Conclusion

The recent AI-phishing attack on an Indian bank in 2024 is one of the indicators of potential modern attackers’ capabilities. Since the AI technology is still progressing, so are the advances of the cyberattacks. Financial institutions and several other organisations can only go as far as adopting adequate AI-aware cybersecurity solutions for their systems and data. 

 Moreover, this case raises awareness of how important it is to train the employees to be properly prepared to avoid the successful cyberattacks. The organisation’s cybersecurity awareness and secure employee behaviours, as well as practices that enable them to understand and report any likely artificial intelligence offences, helps the organisation to minimise risks from any AI attack.

Recommendations

1. Enhanced AI-Based Defences: Financial institutions should employ AI-driven detection and response products that are capable of mitigating AI-operation-based cyber threats in real-time. 
2.  Employee Training Programs: CYBER SECURITY: All employees should undergo frequent cybersecurity awareness training; here they should be trained on how to identify AI-populated phishing. 
3.  Stricter Authentication Protocols: For more specific accounts, ID and other security procedures should be tight in order to get into sensitive ones. 
4.  Collaboration with CERT-In: Continued engagement and coordination with authorities such as the Indian Computer Emergency Response Team (CERT-In) and other equivalents to constantly monitor new threats and valid recommendations. 
5.  Public Communication Strategies: It is also important to establish effective communication plans to address the customers of the organisations and ensure that they remain trusted even when an organisation is facing a cyber threat. 

Through implementing these, financial institutions have an opportunity for being ready with new threats that come with AI and cyber terrorism on essential financial assets in today’s complex IT environments.

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Introduction

Google India announced sachet loans on the Google Pay application to help small businesses in the country. Google India said that merchants in India often need smaller loans, hence, the tech giant launched sachet loans on the Gpay application. The company will provide loans to small businesses, which can be repaid in easier repayment instalments. To provide the load services, Google Pay has partnered with DMI Finance. This move comes at the Google for India, 2023, the flagship event to launch the Indian interventions planned by the big tech. 

What is a Sachet Loan? 

The loan system is the primary backbone of the global banking system. Since we have seen a massive transition towards the digital mode of transactions and banking operations, many online platforms have emerged. With the advent of QR codes, the Unified Payment Interface (UPI) has been rampantly used by Indians for making small or petty payments. Seeing this, Sachet loans made an advent as well, Sachet loans are essentially small-ticket loans ranging from Rs 10,000 to Rs 1 lakh, with repayment tenures between 7 days and 12 months. This nano-credit addresses immediate financial needs and is designed for swift approval and disbursement. Satchel loans are one of the most sought-after loan forms in the Western world. The ease of accessibility and easy repayment options have made it a successful form of money lending, which in turn has sparked the interest of the tech giant Google to execute similar operations in India. 

Google Pay

Pertaining to the fact that UPI payments are the most preferred form of online payment, google came out with GPay in 2013 and now enjoys a user base of 67 million Indians. Google Pay has a 36.10% mobile application market share in India, and 26% of the UPI payments made have been through Google Pay. Google Pay adoption for in-store payments in India was higher in 2023 than it was in early 2019, signalling a growing use among consumers. The numbers shown here refer to the share of respondents who indicated they used Google Pay in the last 12 months, either for POS transactions with a mobile device in stores and restaurants or for online shopping. Eight out of 10 respondents from India indicated they had used Google Pay in a POS setting between April 2022 and March 2023, with an additional seven out of 10 saying they used Google Pay during this same time for online payments.

Pertaining to the Indian spectrum, the following aspects should be kept into consideration: 

• PhonePe, Google Pay and Paytm accounted for nearly 96% of all UPI transactions by value in March
• PhonePe remained the top UPI app, processing 407.63 Cr transactions worth INR 7.07 Lakh Cr
• While Google Pay and Paytm retained second and third positions, respectively, Amazon Pay pushed CRED to the fifth spot in terms of the number of transactions
• Walmart-owned PhonePe, Google Pay and Paytm continued their dominance in India’s UPI payments space, together processing 94% of payments in March 2023.
• According to data from the National Payments Corporation of India (NPCI), the top three apps accounted for nearly 96% of all UPI transactions by value. This translates to about 841.91 Cr transactions worth INR 13.44 Lakh Cr between the three apps.

Conclusion

The big tech giant Google.org has been fundamental in creating and provisioning best-in-class services which are easily accessible to all the netizens. Satchel loans are the new services introduced by the platform and the widespread access of Gpay will go a long way in providing financial services and ease to the deprived and needy lot of the Indian population. This transition can also be seen by other payment portals like Paypal and Paytm, which clearly shows India's massive potential in leading the world of online banking and UPI transactions. As per stats, 40% of global online banking transactions take place in India. These aspects, coupled with the cores of Digital India and Make in India, clearly show how India is the global destination for investment in the current era.  

References

• https://www.livemint.com/companies/news/google-enters-retail-loan-business-in-india-11697697999246.html
• https://www.statista.com/statistics/1389649/google-pay-adoption-in-india/#:~:text=Eight%20out%20of%2010%20respondents,same%20time%20for%20online%20payments
• https://playtoday.co/blog/stats/google-pay-statistics/#:~:text=67%20million%20active%20users%20of%20Google%20Pay%20are%20in%20India.&text=Google%20Pay%20users%20in%20India,in%2Dstore%20and%20online%20purchases.
• https://inc42.com/buzz/phonepe-google-pay-paytm-process-94-of-upi-transactions-march-2023/

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Introduction

A famous quote, “Half knowledge is always dangerous”, but “Too much knowledge of anything can lead to destruction”. Recently very infamous spyware and malware named WyrmSpy and Dragon Egg were invented by a Chinese group of hackers APT41. The APT41 is a state-endorsed Clandstein active group based in the People’s Republic of China that has been active since 2012. In contrast to numerous countries-government supported, APT has a footprint record jeopardising both government organisations for clandestine activities as well as different private organisations or enterprises for their financial gain. APT41 group aims at Android devices through spyware wyrmspy and dragon egg, which masquerades as a legitimate application. According to the U.S. jury legal accusation from 2019 to 2020, the group was entangled in threatening over more than 100 public and private individuals and organisations in the United States and around the world.Moreover, a detailed analysis report was shared by the Lookout Threat Researchers, that has been actively monitoring and tracking both spyware and malware.

Briefing about how spyware attacks on Android devices take place

To begin with, this malware imitates a real source Android application to show some sort of notification. Once it is successfully installed on the user’s machine, proclaims multiple device’s permission to enable data filtration.

Wyrmspy complies with log files, photos, device locations, SMS(read and write), and audio recordings. It has also authenticated that there are no detection malware activities found on google play even after running multiple security levels. These malicious things are made with the intent to obtain rooting access privileges to the device and monitor activities to the specified commands received from the C2 servers.

Similarly, Dragon Egg can collect data files, contacts, locations, and audio recordings, and it also accesses camera photos once it successfully trade-off the device. Dragon egg receives a payload that is also known as “smallmload.jar”, which is either from APK(Android Packet Kit).

WyrmSpy initially masquerades as a default operation system application, and Dragon Egg simulates a third-party keyboard/ messaging application.

Overview of APT41 Chinese group background

APT41 is a Chinese-based stealth activity-carrying group that is said to be active since mid-2006. Rumours about APT41 that it was also a part of the 2nd Bureau of the People’s Liberation Army (PLA) General Staff Department’s (GSD) 3rd Department. Owning to that fact, 2006 has seen 140+ organisations’ security getting compromised, ranging from 20 strategically crucial companies.APT is also recognised for rationally plundering hundreds of terabytes of data from at least 141 organisations between 2006 and 2013. It typically begins with spear-phishing emails to the targeted victims. These sent emails contain official templates along with language pretending to be from a legitimate real source, carrying a malicious attachment. As the victim opens the attached file, the backdoor bestows the control of the targeted machine to the APT groups machine. Once there is an unauthorised gain of access, the attacker visits and revisits the victim’s machine. The group remains dormant for lengthy durations, more likely for months or even for years.

Advisory points need to adhere to while using Android devices

• The security patch update is necessary at least once a week
• Clearing up unwanted junk files.
• Cache files of every frequently used application need to clear out.
• Install only required applications from
  Google play store.
• Download only necessary APK files only it comes from trusted resources.
• Before giving device permission, it is advisable to run your files or URLs on VirusTotal.com this website will give a good closure to the malicious intent.
• Install good antivirus software.
• Individuals need to check the source of the email before opening an attachment to it.
• Never collect or add any randomly found device to your system
• Moreover, the user needs to keep track of their device activity. Rather than using devices just for entertainment purposes, it is more important to look for data protection on that device.

Conclusion

Network Crack Program Hacker Group (NCPH), which grew as an APT41 group with malicious intent, earlier performed the role of grey hat hacker, this group somehow grew up greedy to enhance more money laundering by hacking networks, devices, etc. As this group conducts a supply chain of attacks to gain unauthorised access to the network throughout the world, targeting hundreds of companies, including an extensive selection of industries such as social media, telecommunications, government, defence, education, and manufacturing. Last but not least, many more fraud-making groups with malicious intent will be forming and implementing in the future. It is on individuals and organisations to secure themselves but practise basic security levels to safeguard themselves against such threats and attacks.