Digitally Altered Photo of Rowan Atkinson Circulates on Social Media
Executive Summary:
A photo claiming that Mr. Rowan Atkinson, the famous actor who played the role of Mr. Bean, lying sick on bed is circulating on social media. However, this claim is false. The image is a digitally altered picture of Mr.Barry Balderstone from Bollington, England, who died in October 2019 from advanced Parkinson’s disease. Reverse image searches and media news reports confirm that the original photo is of Barry, not Rowan Atkinson. Furthermore, there are no reports of Atkinson being ill; he was recently seen attending the 2024 British Grand Prix. Thus, the viral claim is baseless and misleading.
Claims:
A viral photo of Rowan Atkinson aka Mr. Bean, lying on a bed in sick condition.
Fact Check:
When we received the posts, we first did some keyword search based on the claim made, but no such posts were found to support the claim made.Though, we found an interview video where it was seen Mr. Bean attending F1 Race on July 7, 2024.
Then we reverse searched the viral image and found a news report that looked similar to the viral photo of Mr. Bean, the T-Shirt seems to be similar in both the images.
The man in this photo is Barry Balderstone who was a civil engineer from Bollington, England, died in October 2019 due to advanced Parkinson’s disease. Barry received many illnesses according to the news report and his application for extensive healthcare reimbursement was rejected by the East Cheshire Clinical Commissioning Group.
Taking a cue from this, we then analyzed the image in an AI Image detection tool named, TrueMedia. The detection tool found the image to be AI manipulated. The original image is manipulated by replacing the face with Rowan Atkinson aka Mr. Bean.
Hence, it is clear that the viral claimed image of Rowan Atkinson bedridden is fake and misleading. Netizens should verify before sharing anything on the internet.
Conclusion:
Therefore, it can be summarized that the photo claiming Rowan Atkinson in a sick state is fake and has been manipulated with another man’s image. The original photo features Barry Balderstone, the man who was diagnosed with stage 4 Parkinson’s disease and subsequently died in 2019. In fact, Rowan Atkinson seemed perfectly healthy recently at the 2024 British Grand Prix. It is important for people to check on the authenticity before sharing so as to avoid the spreading of misinformation.
- Claim: A Viral photo of Rowan Atkinson aka Mr. Bean, lying on a bed in a sick condition.
- Claimed on: X, Facebook
- Fact Check: Fake & Misleading
Related Blogs
A video of Bollywood actor and Kolkata Knight Riders (KKR) owner Shah Rukh Khan is going viral on social media. The video claims that Shah Rukh Khan is reacting to opposition against Bangladeshi bowler Mustafizur Rahman playing for KKR and is allegedly calling industrialist Gautam Adani a “traitor,” while appealing to stop Hindu–Muslim politics.
Research by the CyberPeace Foundation found that the voice heard in the video is not Shah Rukh Khan’s but is AI-generated. Shah Rukh Khan has not made any official statement regarding Mustafizur Rahman’s removal from KKR. The claim made in the video concerning industrialist Gautam Adani is also completely misleading and baseless.
Claim
In the viral video, Shah Rukh Khan is allegedly heard saying: “People barking about Mustafizur Rahman playing for KKR should stop it. Adani is earning money by betraying the country by supplying electricity from India to Bangladesh. Leave Hindu–Muslim politics and raise your voice against traitors like Adani for the welfare of the country. Mustafizur Rahman will continue to play for the team.”
The post link, archive link, and screenshots can be seen below:
- Archive link: https://archive.is/XsQXp
- Facebook reel link: https://www.facebook.com/reel/1220246633365097
Research
We examined the key frames of Shah Rukh Khan’s viral video using Google Lens. During this process, we found the original video on the official YouTube channel Talks at Google, which was uploaded on 2 October 2014.
In this video, Shah Rukh Khan is seen wearing the same outfit as in the viral clip. He is seen responding to questions from Google CEO Sundar Pichai. The YouTube video description mentions that Shah Rukh Khan participated in a fireside chat held at the Googleplex, where he answered Pichai’s questions and also promoted his upcoming film “Happy New Year.”
The link to the video is given : https://www.youtube.com/watch?v=H_8UBv5bZo0
Upon closely analyzing the viral video of Shah Rukh Khan, we noticed a clear mismatch between his voice and lip movements (lip sync). Such inconsistencies usually appear when the original video or its audio has been tampered with.
We then examined the audio present in the video using the AI detection tool Aurigin. According to the tool’s results, the audio in the viral video was found to be approximately 99 percent AI-generated.
Conclusion
Our research confirmed that the voice heard in the video is not Shah Rukh Khan’s but is AI-generated. Shah Rukh Khan has not made any official comment regarding Mustafizur Rahman’s removal from KKR. Additionally, the claims made in the video about industrialist Gautam Adani are completely misleading and baseless.
Executive Summary
A video showing a scuffle between a group of women and police personnel is being widely shared on social media with the claim that it shows Delhi Police assaulting women protesters at Jantar Mantar. CyberPeace Research Wing ’s research found the claim to be misleading. The viral video is not from Jantar Mantar in Delhi but from an unrelated incident in Dehradun, Uttarakhand. The old footage is being falsely circulated as a recent video from the ongoing protests.
Claim:
A Facebook user shared the viral video claiming that Delhi Police personnel were assaulting women and girls during the protest at Jantar Mantar.
The post link, archive link and screenshot are provided below.
https://www.facebook.com/reel/2864826433884333
Fact Check:
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search using Google Lens. This led us to the same video uploaded on the Instagram account iamvikasbaliyan on October 15, 2025.
https://www.instagram.com/reels/DP0H_SSE625/
According to the information shared with the post, the incident took place in Mohabbewala, Dehradun, Uttarakhand, after a truck crashed into a house, damaging the property. The homeowner allegedly demanded compensation and, when the issue remained unresolved, attempted to set the truck on fire. When police personnel intervened to stop her, a scuffle broke out between the woman and the police. The viral video captures this incident. In the next stage of the research, we found an ABP News report published on October 15, 2025, carrying the same visuals as the viral video. The report also identified the incident as having occurred in Mohabbewala, Dehradun.
Conclusion:
CyberPeace Research Wing ’s research found the viral claim to be misleading. The video does not show Delhi Police assaulting women protesters at Jantar Mantar. It is an old video from Dehradun, Uttarakhand, showing an unrelated incident that has been falsely linked to the ongoing protests in Delhi.
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
- 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.
- 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.
- Stricter Authentication Protocols: For more specific accounts, ID and other security procedures should be tight in order to get into sensitive ones.
- 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.
- 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.
