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

Executive Summary:

The picture of a boy making sand art of Indian Cricketer Virat Kohli spreading in social media, claims to be false. The picture which was portrayed, revealed not to be a real sand art. The analyses using AI technology like 'Hive' and ‘Content at scale AI detection’ confirms that the images are entirely generated by artificial intelligence. The netizens are sharing these pictures in social media without knowing  that it is computer generated by deep fake techniques. 

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Claims:

The collage of  beautiful pictures displays a young boy creating sand art of Indian Cricketer Virat Kohli.

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Fact Check:

When we checked on the posts, we found some anomalies in each photo. Those anomalies are common in AI-generated images.

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The anomalies such as the abnormal shape of the child’s feet, blended logo with sand color in the second image, and the wrong spelling ‘spoot’ instead of ‘sport’n were seen in the picture. The cricket bat is straight which in the case of sand made portrait it’s odd. In the left hand of the child, there’s a tattoo imprinted while in other photos the child's left hand has no tattoo. Additionally, the face of the boy in the second image does not match the face in other images. These made us more suspicious of the images being a synthetic media. 

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We then checked on an AI-generated image detection tool named, ‘Hive’. Hive was found to be 99.99% AI-generated. We then checked from another detection tool named, “Content at scale”

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Hence, we conclude that the viral collage of images is AI-generated but not sand art of any child. The Claim made is false and misleading.

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Conclusion:

In conclusion, the claim that the pictures showing a sand art image of Indian cricket star Virat Kohli made by a child is false. Using an AI technology detection tool and analyzing the photos, it appears that they were probably created by an AI image-generated tool rather than by a real sand artist. Therefore, the images do not accurately represent the alleged claim and creator.

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Claim:  A young boy has created sand art of Indian Cricketer Virat Kohli

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Claimed on: X, Facebook, Instagram

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Fact Check: Fake & Misleading

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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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Executive Summary:

Apple has quickly responded to two severe zero-day threats, CVE-2024-44308 and CVE-2024-44309 in iOS, macOS, visionOS, and Safari. These defects, actively used in more focused attacks presumably by state actors, allow for code execution and cross-site scripting (XSS). In a report shared by Google’s Threat Analysis Group, the existing gaps prove that modern attacks are highly developed. Apple’s mitigation comprises memory management, especially state management to strengthen device security. Users are encouraged to update their devices as soon as possible, turn on automatic updates and be careful in the internet space to avoid these new threats.

Introduction

Apple has proved its devotion to the security issue releasing the updates fixing two zero-day bugs actively exploited by hackers. The bugs, with the IDs CVE-2024-44308 and CVE-2024-44309, are dangerous and can lead to code execution and cross-site scripting attacks. The vulnerabilities have been employed in attack and the significance of quick patch release for the safety of the users.

Vulnerabilities in Detail

The discovery of vulnerabilities (CVE-2024-44308, CVE-2024-44309) is credited to Clément Lecigne and Benoît Sevens of Google's Threat Analysis Group (TAG). These vulnerabilities were found in JavaScriptCore and WebKit, integral components of Apple’s web rendering framework. The details of these vulnerabilities are mentioned below:

CVE-2024-44308

• Severity: High (CVSS score: 8.8)
• Description: A flaw in the JavaScriptCore component of WebKit. Malicious web content could cause code to be executed on the target system and make the system vulnerable to the full control of the attacker.
• Technical Finding: This vulnerability involves bad handling of memory in the course of executing JavaScript, allowing the use of injected payloads remotely by the attackers.

CVE-2024-44309

• Severity: Moderate (CVSS score: 6.1)
• Description: A cookie management flaw in WebKit which might result in cross site scripting (XSS). This vulnerability enables the attackers to embed unauthorized scripts into genuine websites and endanger the privacy of users as well as their identities.
• Technical Finding: This issue arises because of wrong handling of cookies at the state level while processing the maliciously crafted web content and provides an unauthorized route to session data.

Affected Systems

These vulnerabilities impact a wide range of Apple devices and software versions:

• iOS 18.1.1 and iPadOS 18.1.1: For devices including iPhone XS and later, iPad Pro (13-inch), and iPad mini 5th generation onwards.
• iOS 17.7.2 and iPadOS 17.7.2: Supports earlier models such as iPad Pro (10.5-inch) and iPad Air 3rd generation.
• macOS Sequoia 15.1.1: Specifically targets systems running macOS Sequoia.
• visionOS 2.1.1: Exclusively for Apple Vision Pro.
• Safari 18.1.1: For Macs running macOS Ventura and Sonoma.

Apple's Mitigation Approach

Apple has implemented the following fixes:

• CVE-2024-44308: Enhanced input validation and robust memory checks to prevent arbitrary code execution.
• CVE-2024-44309: Improved state management to eliminate cookie mismanagement vulnerabilities.

These measures ensure stronger protection against exploitation and bolster the underlying security architecture of affected components.

Broader Implications

The exploitation of these zero-days highlights the evolving nature of threat landscapes:

• Increasing Sophistication: Attackers are refining techniques to target niche vulnerabilities, bypassing traditional defenses.
• Spyware Concerns: These flaws align with the modus operandi of spyware tools, potentially impacting privacy and national security.
• Call for Timely Updates: Users delaying updates inadvertently increase their risk exposure

Technical Recommendations for Users

To mitigate potential risks:

1. Update Devices Promptly: Install the latest patches for iOS, macOS, visionOS, and Safari.
2. Enable Automatic Updates: Ensures timely application of future patches.
3. Restrict WebKit Access: Avoid visiting untrusted websites until updates are installed.
4. Monitor System Behavior: Look for anomalies that could indicate exploitation.

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Conclusion

The exploitation of CVE-2024-44308 and CVE-2024-44309 targeting Apple devices highlight the importance of timely software updates to protect users from potential exploitation. The swift action of Apple by providing immediate improved checks, state management and security patches. Users are therefore encouraged to install updates as soon as possible to guard against these zero day flaws.

References:

• https://support.apple.com/en-us/121752
• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-44308
• https://securityonline.info/cve-2024-44308-and-cve-2024-44309-apple-addresses-zero-day-vulnerabilities/ 

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