Prebunking vs. Debunking Interventions: Comparative Analysis

Introduction

Social media has become integral to our lives and livelihood in today’s digital world. Influencers are now strong people who shape trends, views, and consumer behaviour. Influencers have become targets for bad actors aiming to abuse their fame due to their significant internet presence. Unfortunately, account hacking has grown frequently, with significant ramifications for influencers and their followers. Furthermore, the emergence of social media platforms in recent years has opened the way for influencer culture. Influencers exert power over their followers’ ideas, lifestyle choices, and purchase decisions. Influencers and brands frequently collaborate to exploit their reach, resulting in a mutually beneficial environment. As a result, the value of influencer accounts has risen dramatically, attracting the attention of hackers trying to abuse their potential for financial gain or personal advantage.

Instances of recent attacks

Places of worship

The hackers have targeted renowned temples for fulfilling their malicious activities the recent attack happened on The Khautji Shyam Temple, a famous religious institution with enormous cultural and spiritual value for its adherents. It serves as a place of worship, community events, and numerous religious activities. However, since technology has invaded all sectors of life, the temple’s online presence has developed, giving worshippers access to information, virtual darshans (holy viewings), and interactive forums. Unfortunately, this digital growth has also rendered the shrine vulnerable to cyber threats. The hackers hacked the Facebook page twice in the month, demanded donations and hacked the cheques the devotes gave to the trust. The second event happened by posting objectional images on the page and hurting the sentiments of the devotees. The Committee of the temple has filed an FIR under various charges and is also seeking help from the cyber cell.

Social media Influencers

Influencers enjoy a vast online following worldwide, but their presence is limited to the digital space. Hence every video, photo is of importance to them. An incident took place with leading news anchor and reporter Barkha Dutt, where in her youtube channel was hacked into, and all the posts made from the channel were deleted. The hackers also replaced the channel’s logo with Tesla and were streaming a live video on the channel featuring Elon Musk. A similar incident was reported by influencer Tanmay Bhatt, who also lost all the content e had posted on his channel. The hackers use the following methods to con social media influencers:

• Social engineering
• Phishing
• Brute Force Attacks

Such attacks on influencers can cause harm to their reputation, can also cause financial loss, and even lose the trust of the viewers or the followers who follow them, thus further impacting the collaborations.

Safeguards

Social media influencers need to be very careful about their cyber security as their prominent presence is in the online world. The influencers from different platforms should practice the following safeguards to protect themselves and their content better online

Secure your accounts

Protecting your accounts with passphrases or strong passwords is the first step. The best strategy for doing this is to create a passphrase, a phrase only you know. We advise choosing a passphrase with at least four words and 15 characters.

To further secure your accounts, you must enable multi-factor authentication in the second step.

To access your account, a hacker must guess your password and provide a second authentication factor (such as a face scan or fingerprint) that matches yours.

Be careful about who has access

Many social media influencers collaborate with a team to help generate and post content while building their personal brands.

This entails using team members who can write and produce material that influencers can share themselves, according to some of them. In these situations, the influencer is the only person who still has access to the account.

There are more potential weak spots when more people have access. Additionally, it increases the number of ways a password or account access could fall into the hands of a cybercriminal. Only some staff members will be as cautious about password security as you may be.

Stay up-to-date on the threats

What’s the most significant way to combat threats to computer security? Information.

Cybercriminals constantly adapt their methods. It’s crucial to stay informed about these threats and how they can be utilised against you.

But it’s not just threats. Social media platforms and other service providers are likewise changing their offerings to avoid these challenges.

Educate yourself to protect yourself. You can keep one step ahead of the hazards that cybercriminals offer by continuously educating yourself.

Preach cybersecurity

As influencers, cyber security should be preached, no matter your agenda.

This will also enable users to inculcate best practices for digital hygiene.

This will also boost the reporting numbers and increase population awareness, thus eradicating such bad actors from our cyberspace.

Acknowledge the risks

Keeping a blind eye will always hurt the safety aspects, as ignorance always causes issues.

Risks should be kept in mind while creating the digital routine and netiquette

Always inform your users of risk existing and potential risks

Monitor threats

After the acknowledgement, it is essential to monitor threats.

Active lookout for threats will allow you to understand the modus Operandi and the vulnerabilities to avoid criminals

Threats monitoring is also a basic netizens’ responsibility to ensure that the threats are reported as they emerge.

Interpret the data

All cyber nodal agencies release data and trends of cybercrimes, understand the trends and protect your vulnerabilities.

Data interpretation can lead to an early flagging of threats and issues, thus protecting the cyber ecosystem by and large.

Create risk profiles

All influencers should create risk profiles and backup profiles.

This will also help protect one’s data as it can be stored on different profiles.

Risk profiles and having a private profile are essential to safeguard the basic cyber interests of an influencer.

Conclusion

As we go deeper into the digital age, we see more technologies emerging, but along with them, we see a new generation of cyber threats and challenges. The physical, as well as the cyberspace, is now inter twinned and interdependent. Practising basic cyber security practices, hygiene, netiquette, and monitoring best practices will go a long way in protecting the online interests of the Influencers and will impact their followers to engage in best practices thus safeguarding the cyber ecosystem at large.

Executive Summary:

The claim of a video of  US President Joe Biden dozing off during a television interview is digitally manipulated . The original video is from a 2011 incident involving actor and singer Harry Belafonte. He seems to fall asleep during a live satellite interview with KBAK – KBFX - Eyewitness News. Upon thorough analysis of keyframes from the viral video, it reveals that US President Joe Biden’s image was altered in Harry Belafonte's video. This confirms that the viral video is manipulated and does not show an actual event involving President Biden.

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Claims:

A video shows US President Joe Biden dozing off during a television interview while the anchor tries to wake him up.

Fact Check:

Upon receiving the posts, we watched the video then divided the video into keyframes using the inVid tool, and reverse-searched one of the frames from the video.

We found another video uploaded on Oct 18, 2011 by the official channel of KBAK - KBFX - Eye Witness News. The title of the video reads, “Official Station Video: Is Harry Belafonte asleep during live TV interview?”  

The video looks similar to the recent viral one, the TV anchor could be heard saying the same thing as in the viral video. Taking a cue from this we also did some keyword searches to find any credible sources. We found a news article posted by Yahoo Entertainment of the same video uploaded by KBAK - KBFX - Eyewitness News.

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Upon thorough investigation from reverse image search and keyword search reveals that the recent viral video of US  President Joe Biden dozing off during a TV interview is digitally altered to misrepresent the context. The original video dated back to 2011, where American Singer and actor Harry Belafonte was the actual person in the TV interview but not US  President Joe Biden.

Hence, the claim made in the viral video is false and misleading.

Conclusion:

In conclusion, the viral video claiming to show US President Joe Biden dozing off during a television interview is digitally manipulated and inauthentic. The video is originally from a 2011 incident involving American singer and actor Harry Belafonte. It has been altered to falsely show US President Joe Biden. It is a reminder to verify the authenticity of online content before accepting or sharing it as truth.

• Claim:  A viral video shows in a television interview US President Joe Biden dozing off  while the anchor tries to wake him up.
• Claimed on: X (Formerly known as Twitter)
• Fact Check: Fake & Misleading

Executive Summary:

In late 2024 an Indian healthcare provider experienced a severe cybersecurity attack that demonstrated how powerful AI ransomware is. This blog discusses the background to the attack, how it took place and the effects it caused (both medical and financial), how organisations reacted, and the final result of it all, stressing on possible dangers in the healthcare industry with a lack of sufficiently adequate cybersecurity measures in place. The incident also interrupted the normal functioning of business and explained the possible economic and image losses from cyber threats. Other technical results of the study also provide more evidence and analysis of the advanced AI malware and best practices for defending against them. 

1. Introduction

The integration of artificial intelligence (AI) in cybersecurity has revolutionised both defence mechanisms and the strategies employed by cybercriminals. AI-powered attacks, particularly ransomware, have become increasingly sophisticated, posing significant threats to various sectors, including healthcare. This report delves into a case study of an AI-powered ransomware attack on a prominent Indian healthcare provider in 2024, analysing the attack's execution, impact, and the subsequent response, along with key technical findings.

2. Background 

 In late 2024, a leading healthcare organisation in India which is involved in the research and development of AI techniques fell prey to a ransomware attack that was AI driven to get the most out of it. With many businesses today relying on data especially in the healthcare industry that requires real-time operations, health care has become the favourite of cyber criminals. AI aided attackers were able to cause far more detailed and damaging attack that severely affected the operation of the provider whilst jeopardising the safety of the patient information.  

 3. Attack Execution 

The attack began with the launch of a phishing email designed to target a hospital administrator. They received an email with an infected attachment which when clicked in some cases injected the AI enabled ransomware into the hospitals network. AI incorporated ransomware was not as blasé as traditional ransomware, which sends copies to anyone, this studied the hospital’s IT network. First, it focused and targeted important systems which involved implementation of encryption such as the electronic health records and the billing departments. 

The fact that the malware had an AI feature allowed it to learn and adjust its way of propagation in the network, and prioritise the encryption of most valuable data. This accuracy did not only increase the possibility of the potential ransom demand but also it allowed reducing the risks of the possibility of early discovery. 

 4. Impact 

•  The consequences of the attack were immediate and severe: The consequences of the attack were immediate and severe.
•  Operational Disruption: The centralization of important systems made the hospital cease its functionality through the acts of encrypting the respective components. Operations such as surgeries, routine medical procedures and admitting of patients were slowed or in some cases referred to other hospitals. 
•  Data Security: Electronic patient records and associated billing data became off-limit because of the vulnerability of patient confidentiality. The danger of data loss was on the verge of becoming permanent, much to the concern of both the healthcare provider and its patients. 
•  Financial Loss: The attackers asked for 100 crore Indian rupees (approximately 12 USD million) for the decryption key. Despite the hospital not paying for it, there were certain losses that include the operational loss due to the server being down, loss incurred by the patients who were affected in one way or the other, loss incurred in responding to such an incident and the loss due to bad reputation. 

5. Response

As soon as the hotel’s management was informed about the presence of ransomware, its IT department joined forces with cybersecurity professionals and local police. The team decided not to pay the ransom and instead recover the systems from backup. Despite the fact that this was an ethically and strategically correct decision, it was not without some challenges. Reconstruction was gradual, and certain elements of the patients’ records were permanently erased. 

 In order to avoid such attacks in the future, the healthcare provider put into force several organisational and technical actions such as network isolation and increase of cybersecurity measures. Even so, the attack revealed serious breaches in the provider’s IT systems security measures and protocols. 

6. Outcome

The attack had far-reaching consequences:

• Financial Impact: A healthcare provider suffers a lot of crashes in its reckoning due to substantial service disruption as well as bolstering cybersecurity and compensating patients. 
•  Reputational Damage: The leakage of the data had a potential of causing a complete loss of confidence from patients and the public this affecting the reputation of the provider. This, of course, had an effect on patient care, and ultimately resulted in long-term effects on revenue as patients were retained. 
•  Industry Awareness: The breakthrough fed discussions across the country on how to improve cybersecurity provisions in the healthcare industry. It woke up the other care providers to review and improve their cyber defence status. 

7. Technical Findings

The AI-powered ransomware attack on the healthcare provider revealed several technical vulnerabilities and provided insights into the sophisticated mechanisms employed by the attackers. These findings highlight the evolving threat landscape and the importance of advanced cybersecurity measures.

7.1 Phishing Vector and Initial Penetration

• Sophisticated Phishing Tactics: The phishing email was crafted with precision, utilising AI to mimic the communication style of trusted contacts within the organisation. The email bypassed standard email filters, indicating a high level of customization and adaptation, likely due to AI-driven analysis of previous successful phishing attempts.
• Exploitation of Human Error: The phishing email targeted an administrative user with access to critical systems, exploiting the lack of stringent access controls and user awareness. The successful penetration into the network highlighted the need for multi-factor authentication (MFA) and continuous training on identifying phishing attempts.

7.2 AI-Driven Malware Behavior

• Dynamic Network Mapping: Once inside the network, the AI-powered malware executed a sophisticated mapping of the hospital's IT infrastructure. Using machine learning algorithms, the malware identified the most critical systems—such as Electronic Health Records (EHR) and the billing system—prioritising them for encryption. This dynamic mapping capability allowed the malware to maximise damage while minimising its footprint, delaying detection.
• Adaptive Encryption Techniques: The malware employed adaptive encryption techniques, adjusting its encryption strategy based on the system's response. For instance, if it detected attempts to isolate the network or initiate backup protocols, it accelerated the encryption process or targeted backup systems directly, demonstrating an ability to anticipate and counteract defensive measures.
• Evasive Tactics: The ransomware utilised advanced evasion tactics, such as polymorphic code and anti-forensic features, to avoid detection by traditional antivirus software and security monitoring tools. The AI component allowed the malware to alter its code and behaviour in real time, making signature-based detection methods ineffective.

7.3 Vulnerability Exploitation

• Weaknesses in Network Segmentation: The hospital’s network was insufficiently segmented, allowing the ransomware to spread rapidly across various departments. The malware exploited this lack of segmentation to access critical systems that should have been isolated from each other, indicating the need for stronger network architecture and micro-segmentation.
• Inadequate Patch Management: The attackers exploited unpatched vulnerabilities in the hospital’s IT infrastructure, particularly within outdated software used for managing patient records and billing. The failure to apply timely patches allowed the ransomware to penetrate and escalate privileges within the network, underlining the importance of rigorous patch management policies.

7.4 Data Recovery and Backup Failures

• Inaccessible Backups: The malware specifically targeted backup servers, encrypting them alongside primary systems. This revealed weaknesses in the backup strategy, including the lack of offline or immutable backups that could have been used for recovery. The healthcare provider’s reliance on connected backups left them vulnerable to such targeted attacks.
• Slow Recovery Process: The restoration of systems from backups was hindered by the sheer volume of encrypted data and the complexity of the hospital’s IT environment. The investigation found that the backups were not regularly tested for integrity and completeness, resulting in partial data loss and extended downtime during recovery.

7.5 Incident Response and Containment

• Delayed Detection and Response: The initial response was delayed due to the sophisticated nature of the attack, with traditional security measures failing to identify the ransomware until significant damage had occurred. The AI-powered malware’s ability to adapt and camouflage its activities contributed to this delay, highlighting the need for AI-enhanced detection and response tools.
• Forensic Analysis Challenges: The anti-forensic capabilities of the malware, including log wiping and data obfuscation, complicated the post-incident forensic analysis. Investigators had to rely on advanced techniques, such as memory forensics and machine learning-based anomaly detection, to trace the malware’s activities and identify the attack vector.

8. Recommendations Based on Technical Findings

To prevent similar incidents, the following measures are recommended:

1. AI-Powered Threat Detection: Implement AI-driven threat detection systems capable of identifying and responding to AI-powered attacks in real time. These systems should include behavioural analysis, anomaly detection, and machine learning models trained on diverse datasets.
2. Enhanced Backup Strategies: Develop a more resilient backup strategy that includes offline, air-gapped, or immutable backups. Regularly test backup systems to ensure they can be restored quickly and effectively in the event of a ransomware attack.
3. Strengthened Network Segmentation: Re-architect the network with robust segmentation and micro-segmentation to limit the spread of malware. Critical systems should be isolated, and access should be tightly controlled and monitored.
4. Regular Vulnerability Assessments: Conduct frequent vulnerability assessments and patch management audits to ensure all systems are up to date. Implement automated patch management tools where possible to reduce the window of exposure to known vulnerabilities.
5. Advanced Phishing Defences: Deploy AI-powered anti-phishing tools that can detect and block sophisticated phishing attempts. Train staff regularly on the latest phishing tactics, including how to recognize AI-generated phishing emails.

9. Conclusion

The AI empowered ransomware attack on the Indian healthcare provider in 2024 makes it clear that the threat of advanced cyber attacks has grown in the healthcare facilities. Sophisticated technical brief outlines the steps used by hackers hence underlining the importance of ongoing active and strong security. This event is a stark message to all about the importance of not only remaining alert and implementing strong investments in cybersecurity but also embarking on the formulation of measures on how best to counter such incidents with limited harm. AI is now being used by cybercriminals to increase the effectiveness of the attacks they make and it is now high time all healthcare organisations ensure that their crucial systems and data are well protected from such attacks.

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