#FactCheck - Uncovered: Viral LA Wildfire Video is a Shocking AI-Generated Fake!

Overview:

A recent addition to the  list of cybercrime  is SharpRhino, a RAT (Remote Access Trojan) actively used by Hunters International ransomware group. SharpRhino is highly developed and penetrates into the network mask of IT specialists, primarily due to the belief in the tools’ legitimacy. Going under the genuine software installer, SharpRhino started functioning in mid-June 2024. However, Quorum Cyber discovered it in early August 2024 while investigating ransomware.

About Hunters International Group:

Hunters International emerged as one of the most notorious groups focused on ransomware attacks, having compromised over 134 targets worldwide in the first seven months of 2024. It is believed that the group is the rebranding of Hive ransomware group that was previously active, and there are considerable similarities in the code. Its focus on IT employees in particular demonstrates the fact that they move tactically in gaining access to the organizations’ networks.

Modus Operandi:

1. Typosquatting Technique 

SharpRhino is mainly distributed by a domain that looks like the genuine Angry IP Scanner, which is a popular network discovery tool. The malware installer, labeled as ipscan-3.9.1-setup. It is a 32-bit Nullsoft installer which embeds a password protected 7z archive in it. 

2. Installation Process 

• Execution of Installer: When the victim downloads and executes the installer and changes the windows registry in order to attain persistence. This is done by generating a registry entry that starts a harmful file, Microsoft. AnyKey. exe, are fakes originating from fake versions of true legitimate Microsoft Visual Studio tools. 

• Creation of Batch File: This drops a batch file qualified as LogUpdate at the installer.bat, that runs the PowerShell scripts on the device. These scripts are to compile C# code into memory to serve as a means of making the malware covert in its operation. 

• Directory Creation: The installer establishes two directories that allow the C2 communication – C:\ProgramData\Microsoft: WindowsUpdater24 and LogUpdateWindows. 

3. Execution and Functionality: 

• Command Execution: The malware can execute PowerShell commands on the infected system, these actions may involve privilege escalation and other extended actions such as lateral movement. 

• C2 Communication: SharpRhino interacts with command and control servers located on domains from platforms such as Cloudflare. This communication is necessary for receiving commands from the attackers and for returning any data of interest to the attackers. 

• Data Exfiltration and Ransomware Deployment: Once SharpRhino has gained control, it can steal information and then proceed to encrypt it with a .locked extension. The procedure generally concludes with a ransom message, which informs users on how to purchase the decryption key. 

4. Propagation Techniques: 

Also, SharpRhino can spread through the self-copying method, this is the virus may copy itself to other computers using the network account of the victim and pretending to be trustworthy senders such as emails or network-shared files. Moreover, the victim’s machine may then proceed to propagate the malware to other systems like sharing in the company with other employees.

Indicators of Compromise (IOCs):

• LogUpdate.bat
• Wiaphoh7um.t
• ipscan-3.9.1-setup.exe
• kautix2aeX.t
• WindowsUpdate.bat

Command and Control Servers:

• cdn-server-1.xiren77418.workers.dev
• cdn-server-2.wesoc40288.workers.dev
• Angryipo.org
• Angryipsca.com

Analysis:

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Graph:

Precautionary measures to be taken:

To mitigate the risks posed by SharpRhino and similar malware, organizations should implement the following measures:

• Implement Security Best Practices: It is important only to download software from official sites and avoid similar sites to confuse the user by changing a few letters.

• Enhance Detection Capabilities: Use technology in detection that can detect the IOCs linked to Sharp Rhino.

• Educate Employees: Educate IT people and employees on phishing scams and the requirement to check the origin of the application.

• Regular Backups: It is also important to back up important files from systems and networks in order to minimize the effects of ransomware attacks on a business.

Conclusion:

SharpRhino could be deemed as the evolution of the strategies used by organizations like Hunters International and others involved in the distribution of ransomware. SharpRhino primarily focuses on the audience of IT professionals and employs complex delivery and execution schemes, which makes it an extremely serious threat for corporate networks. To do so it is imperative that organizations have an understanding of its inner workings in order to fortify their security measures against this relatively new threat. Through the enforcement of proper security measures and constant enlightenment of organizations on the importance of cybersecurity, firms can prevent the various risks associated with SharpRhino and related malware. Be safe, be knowledgeable, and most importantly, be secure when it comes to cyber security for your investments.

Reference: 

https://cybersecuritynews.com/sharprhino-ransomware-alert/

https://cybersecsentinel.com/sharprhino-explained-key-facts-and-how-to-protect-your-data/

https://www.dataprivacyandsecurityinsider.com/2024/08/sharprhino-malware-targeting-it-professionals/

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A photo featuring Indian cricketers Virat Kohli and Rohit Sharma is being widely shared on social media. In the image, both players are seen holding a Shivling, with the Kedarnath temple visible in the background. Users sharing the image claim that Virat Kohli and Rohit Sharma recently visited Kedarnath.

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However, CyberPeace Foundation’s investigation found the claim to be false. Our verification established that the viral image is not real but has been created using Artificial Intelligence (AI) and is being circulated with a misleading narrative.

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The Claim

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An Instagram user shared the viral image on December 22, 2025, with the caption stating that Rohit Sharma and Virat Kohli are in Kedarnath. The post has since been widely reshared by other users, who assumed the image to be authentic. Link, archive link, screenshot:

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• https://www.instagram.com/rohitmaurya2888/p/DSkZsWMEixV 
• https://archive.ph/0sJRo 

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Fact Check

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On closely examining the viral image, the Desk noticed visual inconsistencies suggesting that it may be AI-generated. To verify this, the image was scanned using the AI detection tool HIVE Moderation. According to the results, the image was found to be 99 per cent AI-generated.

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Further verification was conducted using another AI detection tool, Sightengine. The analysis revealed that the image was 93 per cent likely to be AI-generated, reinforcing the findings from the previous tool.

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Conclusion

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CyberPeace Foundation’s research confirms that the viral image claiming Virat Kohli and Rohit Sharma visited Kedarnath is fabricated. The image has been generated using AI technology and is being falsely shared on social media as a real photograph.

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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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