#FactCheck - Viral Clip and Newspaper Article Claiming 18% GST on 'Good Morning' Messages Debunked

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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Executive Summary:

A video purporting to be from Lal Chowk in Srinagar, which features Lord Ram's hologram on a clock tower, has gone popular on the internet. The footage is from Dehradun, Uttarakhand, not Jammu and Kashmir, the CyberPeace Research Team discovered.

Claims:

A Viral 48-second clip is getting shared over the Internet mostly in X and Facebook, The Video shows a car passing by the clock tower with the picture of Lord Ram. A screen showcasing songs about Lord Ram is shown when the car goes forward and to the side of the road.

The Claim is that the Video is from Kashmir, Srinagar

Similar Post:

Fact Check:

The CyberPeace Research team found that the Information is false. Firstly we did some keyword search relating to the Caption and found that the Clock Tower in Srinagar is not similar to the Video. 

We found an article by NDTV mentioning Srinagar Lal Chowk’s Clock Tower, It's the only Clock Tower in the Middle of Road. We are somewhat confirmed that the Video is not From Srinagar. We then ran a reverse image search of the Video by breaking down into frames.  

We found another Video that visualizes a similar structure tower in Dehradun.

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Taking a cue from this we then Searched for the Tower in Dehradun and tried to see if it matches with the Video, and yes it’s confirmed that the Tower is a Clock Tower in Paltan Bazar, Dehradun and the Video is actually From Dehradun but not from Srinagar.

Conclusion:

After a thorough Fact Check Investigation of the Video and the originality of the Video, we found that the Visualisation of Lord Ram in the Clock Tower is not from Srinagar but from Dehradun. Internet users who claim the Visual of Lord Ram from Srinagar is totally Baseless and Misinformation.

• Claim: The Hologram of Lord Ram on the Clock Tower of Lal Chowk, Srinagar
• Claimed on: Facebook, X
• Fact Check: Fake

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Introduction

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The banking and finance sector worldwide is among the most vulnerable to cybersecurity attacks. Moreover, traditional threats such as DDoS attacks, ransomware, supply chain attacks, phishing, and Advanced Persistent Threats (APTs) are becoming increasingly potent with the growing adoption of AI. It is crucial for banking and financial institutions to stay ahead of the curve when it comes to their cybersecurity posture, something that is possible only through a systematic approach to security. In this context, the Reserve Bank of India’s latest Financial Stability Report (June 2025) acknowledges that cybersecurity risks are systemic to the sector, particularly the securities market, and have to be treated as such. 

What the Financial Stability Report June 2025 Says

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The report notes that the increasing scale of digital financial services, cloud-based architecture, and interconnected systems has expanded the cyberattack surface across sectors.   It calls for building cybersecurity resilience by improving Security Operations Center (SOC) efficacy, undertaking “risk-based supervision”, implementing “zero-trust approaches”, and “AI-aware defense strategies”. It also recommends the implementation of graded monitoring systems, employing behavioral analytics for threat detection, building adequate skill through hands-on training, engaging in continuous learning and simulation-based exercises like Continuous Assessment-Based Red Teaming (CART), conducting scenario-based resilience drills, and establishing consistent incident reporting frameworks. In addition, it suggests that organizations need to adopt quantifiable benchmarks like SOC Efficacy and Cyber Capability Index to guarantee efficient governance and readiness.

Implications

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Firstly, even though the report doesn’t break new ground in identifying cyber risk,  it does sharpen its urgency and lays the groundwork for giving more weight to cybersecurity in macroprudential supervision. In the face of emerging threats, it positions cyberattacks as a systemic financial risk that can affect India’s financial stability with the same seriousness as traditional threats like NPAs and capital inadequacy. 

Secondly, by calling to “ensure cyber resilience”, it reflects the RBI’s dedication to  values-based compliance to cybersecurity policies where effectiveness and adaptability matter more than box-ticking. This approach caters to an organisation’s/ sector’s unique nature, governance requirements, and updates to rising risks. It checks not only if certain measures were used, but also if they were effective, through constant self-assessment, scenario-based training, cyber drills, dynamic risk management, and value-driven audits. In the face of a rapidly expanding digital transactions ecosystem with integration of new technologies such as AI, this approach is imperative to building cyber resilience. The RBI’s report suggests exactly this need for banks and NBFCs to update its parameters for resilience.

Conclusion 

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While the RBI’s 2016 guidelines focus on core cybersecurity concerns and has issued guidelines on IT governance, outsourcing, and digital payment security, none explicitly codify “AI-aware,” “zero-trust,” or a full “risk-based supervision” mechanism. The more recent emphasis on these concepts comes from the 2025 Financial Stability Report, which uses them as forward-looking policy orientations. How the RBI chooses to operationalize these frameworks is yet to be seen. Further,  RBI’s vision cannot operate in a silo. Cross-sector regulators like SEBI, IRDAI, and DoT must align on cyber standards and incident reporting protocols.

In the meanwhile, highly vulnerable sectors like education and healthcare, which have weaker cybersecurity capabilities, can take a leaf from RBI’s book by ensuring that cybersecurity is treated as a continuously evolving issue . Many institutions in these sectors are known to perform goals-based compliance through a simple checklist approach. Institutions that take the lead in implementing zero-trust, diversifying vendor dependencies, and investing in cyber resilience will not only meet regulatory expectations but build long-term competitive advantage.

References

• https://economictimes.indiatimes.com/news/economy/policy/adopt-risk-based-supervision-zero-trust-approach-to-curb-cyberfrauds-rbi/articleshow/122164631.cms?from=mdr-%20500
• https://paramountassure.com/blog/value-driven-cybersecurity/ 
• https://www.rbi.org.in/commonman/english/Scripts/Notification.aspx?Id=1721 ‍
• https://rbidocs.rbi.org.in/rdocs//PublicationReport/Pdfs/0FSRJUNE20253006258AE798B4484642AD861CC35BC2CB3D8E.PDF