#FactCheck - Bangladeshi Migrant’s Arrest Misrepresented as Indian in Viral Video!

Executive Summary:

A morphed video of the actor Anup Soni popular on social media promoting IPL betting Telegram channel is found to be fake. The audio in the morphed video is produced through AI voice cloning. AI manipulation was identified by AI detection tools and deepfake analysis tools. In the original footage Mr Soni explains a case of crime, a part of the popular show Crime Patrol which is unrelated to betting.  Therefore, it is important to draw the conclusion that Anup Soni is in no way associated with the betting channel.

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Claims:

The facebook post claims the IPL betting Telegram channel which belongs to Rohit Khattar is promoted by Actor Anup Soni.

Fact Check:

Upon receiving the post, the CyberPeace Research Team closely analyzed the video and found major discrepancies which are mostly seen in AI-manipulated videos. The lip sync of the video does not match the audio. Taking a cue from this we analyzed using a Deepfake detection tool by True Media. It is found that the voice of the video is 100% AI-generated. 

We then extracted the audio and checked in an audio Deepfake detection tool named Hive Moderation. Hive moderation found the audio to be 99.9% AI-Generated.

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We then divided the video into keyframes and reverse searched one of the keyframes and found the original video uploaded by the YouTube channel named LIV Crime.

Upon analyzing we found that in the 3:18 time frame the video was edited, and altered with an AI voice.

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Hence, the viral video is an AI manipulated video and it’s not real. We have previously debunked such AI voice manipulation with different celebrities and politicians to misrepresent the actual context. Netizens must be careful while believing in such AI manipulation videos.

Conclusion:

In conclusion, the viral video claiming that  IPL betting Telegram channel promotion by actor Anup Soni is false. The video has been manipulated using AI voice cloning technology, as confirmed by both the Hive Moderation AI detector and the True Media AI detection tool. Therefore, the claim is baseless and misleading.

• Claim:  An IPL betting Telegram channel belonging to Rohit Khattar promoted by Actor Anup Soni.
• Claimed on: Facebook
• Fact Check: Fake & Misleading

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

Misinformation has been a significant concern in recent times, especially in the online information landscape. This past month, misinformation has been linked to the communal tensions that have flared up in the North Tripura district. While the law enforcement agencies were quick to respond, misinformation about the law and order situation spread rapidly. Shri Amitabh Ranjanon, Tripura’s Director General of Police, issued a public statement on 21st October 2024, Monday, clarifying “The state's law and order situation has improved, and misinformation is being spread about it”. This instance is a classic example of how misinformation can affect the delivery of good governance to citizens or hamper the relationship between the citizenry and the state mechanisms. Such misinformation undermines the efforts of the law enforcement agencies striving to maintain peace, and distorted narratives can colour public opinion about the authorities and create cycles of misplaced distrust. 

DGP's Statement

DGP Amitabh Ranjanon clarified during an event to commemorate Police Commemoration Day, stating that the state has recorded a lesser number of crimes this year compared to the last 10 years. He emphasized that senior police officials promptly respond to any law and order issues and additional forces have been deployed as necessary. Ranjan highlighted the peaceful celebration of Durga Puja as a testament to the effective law enforcement measures in place, demonstrating communal harmony. 

Impact of Misinformation in communal settings

Misinformation in communal settings can cause anxiety, fear, and distrust among community members, leading to conflicts. It undermines public confidence in law enforcement and government institutions. The spread of false information can erode trust in law enforcement and government bodies, hindering their ability to address and solve conflicts. Therefore, precise data and accurate information are essential in every environment to avoid the harm caused by misinformation. 

Preventive Measures Against Misinformation

1. Look for authenticated sources

In a digital landscape filled with information from various sources, it’s essential to differentiate between credible and unreliable content. Authenticated sources are typically reputable organizations and officials. Users must rely on authenticated sources to ensure the information's accuracy and credibility. Users must verify the source, confirm the claims made in the source by comparing them with other credible sources for accuracy, and follow fact-checking practices.

2. Exercise caution on social media information

Social media platforms can rapidly disseminate information, but they can also serve as breeding grounds for misinformation. The ease of sharing content can lead to the spread of unverified claims, rumours, or even outright falsehoods. Therefore, exercising caution when engaging with information on these platforms is crucial. Users must scrutinize headlines and images as well, especially since misleading images can distort the truth with the advent of AI.  One must always read beyond the headline and check the context of the images used and not make split-second decisions and impressions. Users must engage in critical thinking and share informed opinions responsibly, to promote discussions about the validity of shared content.

3. Role of Awareness

Awareness about misinformation is essential for navigating the complexities of modern communication. People can make better decisions and help create a more informed society by being aware of the strategies used to disseminate false information. Users need to become knowledgeable about typical misinformation strategies, hone their cognitive abilities to critically assess internet content, and verify the reliability of sources before they form opinions, make decisions or share ahead.

Final words

By integrating these simple best practices into our daily lives we can cultivate a more informed public, reduce the spread of online misinformation, and enhance critical thinking skills among peers and the larger digital community.

References

1. https://www.theweek.in/wire-updates/national/2024/10/21/cal8-tr-dgp.html
2. https://www.newindianexpress.com/nation/2024/Oct/21/tripura-dgp-says-misinformation-being-spread-about-states-law-and-order-situation
3. https://indianexpress.com/article/north-east-india/tripura/police-inaction-tripura-dgp-amitabh-ranjan-sharp-decline-crime-rate-9632509/
4. https://www.newindianexpress.com/nation/2024/Oct/21/tripura-dgp-says-misinformation-being-spread-about-states-law-and-order-situation

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