#FactCheck-Viral Clip of Delivery Boy Beating Woman Is Scripted, Not a Real Incident
Executive Summary
A video is being widely shared on social media claiming to show a delivery boy assaulting a woman. In the viral clip, a man approaches a woman to deliver some items. An argument soon breaks out between the two, followed by pushing and shoving that escalates into a physical fight. The purported delivery boy is then seen knocking the woman to the ground and allegedly beating her. Research by CyberPeace Research Wing found that the viral video is scripted.
Claim:
“A delivery boy brings a parcel, and the customer comes outside to collect it. As soon as the delivery boy hands the parcel to the woman, it falls from her hands, following which the female customer starts assaulting the delivery boy. In anger, the delivery boy also begins hitting the woman and knocks her to the ground, brutally beating her with kicks and slaps. Although the woman was at fault, the delivery boy should not have reacted so violently.”
https://www.facebook.com/reel/2826948067671726
Fact Check
To verify the viral video claiming to show a delivery boy assaulting a woman, we conducted a reverse image search using keyframes from the clip. During the search, we found the same video posted on the Facebook account of a user named Vipin Chauhan on August 21, 2026. The viral clip appears in the 2-minute-33-second-long video. The caption accompanying the video states that it is a pre-planned (scripted) video.
https://www.facebook.com/reel/1551896343642588
During the research, we also found the same video on the same user's Instagram account, where it was described as scripted.
https://www.instagram.com/reels/DcTAF_ZsUnv/
Upon reviewing the Instagram user's account, we found several other videos featuring men and women engaged in physical altercations. The captions of all these videos clearly state that they are scripted.
Conclusion
The evidence gathered during our research clearly establishes that the video being shared with the claim that a delivery boy assaulted a woman is scripted and does not depict a genuine incident. The same video was found on the social media accounts of the creator, where it was explicitly described as scripted. We also found several other similar videos on the user's account, all of which were identified as pre-planned or scripted content.
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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
- 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.
Introduction
The .com boom led to a massive surge in the expansion of digitised and automated operations in all industries and organisations, which in turn beagle a wholesome transition to the digital age for all netizens, organisations and industries. All the big techs in today’s time were startups or not even in existence back when this boom began, but just in 3-4 decades, we see that a massive faction of the global population is dependent directly or indirectly on big techs for some or the other services. As the world of tech expands, so does the big tech, and hence, in the previous decades, we have seen some acquisitions by big tech companies. The biggest acquisition by tech was last seen in 2023 when the social media giant Facebook (Now META) acquired the famous messaging platform Whatsapp for $13 Billion, but now, almost after a decade, the world is ready to witness the biggest acquisition as Adobe confirms its plans to acquire Figma the leading web-first collaborative design platform.
Adobe - Figma Acquisition
The illustrator developer Adobe has been the pioneer in developing designing tools since 1982. The founder of the company made a switch from the paper company Xerox, and hence, the operations and products of the company have been oriented towards paper and design. But as the company is already a pioneer in developing designing and editing tools, the impact of AI cannot be underestimated. Hence, this acquisition comes at a critical juncture in impacting the AI-driven product market.
Adobe wants to use digital experiences to transform the world. Adobe provides the tools and platforms that power the digital economy today, and over the course of its existence, its innovations have positively impacted billions of people worldwide. Adobe continues to invent and modify categories, having revolutionised photography and creative expression with Photoshop, pioneered electronic documents with PDF, and created the digital marketing category with Adobe Experience Cloud.
The goals of Figma are to facilitate visual teamwork and provide accessibility to design for all. The company, which was founded in 2012 by Dylan Field and Evan Wallace, was a pioneer in online product design. Thanks to multi-player workflows, advanced design systems, and a large, expandable developer environment, it is now enabling collaboration for anybody designing interactive mobile and online applications. Millions of fresh designers and developers, as well as a devoted student base, have been drawn to Figma.
By working together, Adobe and Figma will transform how people create and work, spur innovation on the web, improve product design, and uplift communities of creators, designers, and developers throughout the world. The combined business will have the capacity to create major value for clients, investors, and the industry, in addition to a sizable and rapidly expanding market potential.
Key Features of Acquisition
The most expensive acquisition this century has caught the attention of a lot of companies and regulatory authorities across the world. The key features of the deal are as follows:
- Reimagining the Future of Creativity and Productivity: The designing giant Adobe and Figma coming together will unlock new potential for creativity and productivity as both of the companies create tools which are widely used; hence, they understand the customer’s requirements and expectations, thus making a path for creativity and productivity in term of new services and applications.
- Accelerating Creativity on the Web: Adobe's Creative Cloud technologies will be delivered online more quickly thanks to Figma's web-based, multi-player features, which will increase productivity and accessibility to the creative process for more people. The current difficulty facing creators is producing an ever-increasing amount of material while working closely with an ever-increasing number of stakeholders. With its widespread use, the web is now a tool that facilitates collaborative creation in teams.
- Advancing Product Design: All parties involved in the product design process, including designers, product managers, and developers, will gain from the integration of Adobe's robust imaging, photography, illustration, video, 3D, and font technologies into the Figma platform. Because digital applications are integral to both our personal and professional lives, the product design sector is experiencing rapid expansion.
- Inspiring and empowering the designer and developer community: The company's ongoing innovation has been fueled by the dynamic creative community at Adobe. With its vast and expanding ecosystem, Figma boasts a fervent community that creates and shares everything from templates to plug-ins to lessons. By uniting the communities of Figma and Adobe, designers and developers will be able to harness the potential of collaborative design in the future. By 2025, Figma's addressable market will reach a total of $16.5 billion. With best-in-class net dollar retention of more than 150 percent, the company is predicted to add around $200 million in net new ARR this year, topping $400 million in total ARR by the end of 2022. Figma has established a productive, rapidly expanding company with operating cash flows that are positive and gross margins of over 90%.
Conclusion
The acquisition of the decade is going to be under heavy scrutiny and checks under various laws in different countries and is expected to be given the green light soon, this merger and acquisition case study will act as a precedent for such high-value acquisitions. Nearly 10 years ago, we saw the last biggest acquisition, where Meta acquired WhatsApp for $13 Bn. As the world of tech moves forward, we will be witnessing more of such M&As in the future, but in such moments, we should be cautious about how our data is handled and transferred by the other company, always make sure you keep a check on your digital rights and responsibilities, because ultimately we are the consumers of the cyberspace.
References
- https://news.adobe.com/news/news-details/2022/Adobe-to-Acquire-Figma/default.aspx
- https://www.theregister.com/2023/10/26/regulator_delays_adobes_20bn_buy/
- https://www.reuters.com/markets/deals/adobes-deal-acquire-figma-under-threat-eu-regulators-ft-2023-06-20/'
Artificial intelligence tends to attract extreme opinions. Some commentators argue it is eroding our capacity to think. Others believe it is freeing our minds for more valuable work. Both views miss the more important point: the effect of AI depends on how a person chooses to use it. Whether a chatbot supports someone's thinking or replaces it altogether comes down to that choice, and that choice is what separates an assistant from a substitute. Not long ago, generative AI was a novelty. Now it shows up daily in classrooms, newsrooms and offices - almost everywhere people write, plan or make decisions. That kind of shift is exactly why researchers have started looking closely at something harder to see: what happens inside the brain once thinking gets outsourced to a machine. The findings are worth knowing.
What the Brain Scans Actually Showed
One of the clearest pieces of evidence comes out of MIT's Media Lab. The study by Nataliya Kosmyna was carried out for 4 months in 2025 with the participation of all in all, there were 54 participants The fifty four participants were divided into three groups and assigned each group one unique but identical writing task. Group one wrote with ChatGPT open in front of them. The second used a standard search engine. The third had access to nothing but their own knowledge. Throughout, an Electroencephalogram (EEG device) sat on every participant's head, feeding the research team a live picture of brain activity as the essays took shape. It did not take long for the ChatGPT group's readings to pull away from the other two. Activity in regions linked to memory and analytical reasoning dropped noticeably. Several participants struggled later to recall, or even accurately quote, essays they had written only minutes before. Kosmyna's team gave this effect a name: cognitive debt, borrowed from the language of personal finance. The convenience arrives immediately; the cost turns up afterwards, in this case as weakened memory and independent reasoning.
A less-reported result from the same study points the other way. Participants who started the task unaided, then moved on to using ChatGPT, showed higher brain activity than before, not lower. That detail matters. It indicates the tool itself is not the problem. What seems to matter more is the mental effort a person has already put in before turning to AI for help.
Assistant or Substitute? The Line Is Thinner Than You Think
A study published in Frontiers in Psychology in July 2026 offers a useful distinction that extends the MIT findings. The researchers differentiate between dependent offloading, where a task is handed over because a person doubts their own ability to complete it, and autonomous offloading, where a person chooses to delegate part of a task while remaining in control of the overall process.
Dependent offloading, according to the study, gradually undermines a person's sense of competence, since it signals, even quietly, that they cannot manage without help. Autonomous offloading works differently. Here, too, the scientists are relieved to discover that giving a wide birth to any 'hardest' decisions-just taking AI's assistance where it can make an honest contribution-boosts rather than damages the confidence. The same holds for creative output too. The tool does not change between these two scenarios. What changes is who remains in charge of the process.
The Cost Nobody Is Measuring at Work
This pattern is not confined to academic settings. Earlier, in August 2026 the Conversation collated workplace data which brings up similar issues. Around six out of 10 workers don’t receive formal training on using AI and the same number say they have used artificial intelligence irresponsibly (or covertly) as part of their work.
A separate finding, from a July 2026 study by the Centre for AI Safety, adds further weight to this concern. Even the most capable AI agents tested were unable to complete around 85 per cent of assigned projects to a standard fit for paid, professional work. Put next to the workplace training gap, these numbers point to something organisations cannot really ignore. Many employees are trusting output from tools they were never taught to question, built by systems that make more mistakes than most people give them credit for. That is not a case for banning AI at work. It does mean employees need a clearer sense of where these tools are likely to fail, and the training to recognise it when they do.
Building the Habit of Human-Centred AI Use
Translating this research into practice requires a few deliberate habits.
Think before you prompt:Structuring an argument or outline before opening an AI tool matters more than it might seem. Even five minutes of this kind of preparation involves exactly the mental effort that the MIT study found missing in its heaviest AI users.
Treat AI output as a starting point:Whatever output an AI tool provides should be treated as a rough sketch to work on and not a finished product. Facts need checking. Awkward sentences need rewriting in your own words. At the end of the day, the person whose name goes on the piece is the one who answers for what is in it — which by itself is enough reason to go through it carefully before it is sent out.
Preserve AI-free time:A few hours each week, kept free of AI tools entirely, gives planning and brainstorming room to happen without shortcuts. Teams that build this into their schedule, rather than compressing every stage of a project with AI, generally produce stronger work as a result.
Examine the motivation:Using AI to move through an idea faster is one thing. Using it to dodge thinking about a problem altogether is something else. The second habit tends to catch up with people later, often without their noticing at first.
Conclusion
Whether AI functions as a cognitive assistant or a cognitive substitute depends less on the technology itself and more upon the way it is used. Used to support one's own thinking, AI appears to strengthen cognitive engagement. Used as a substitute for effort, it appears to accumulate a quiet cost, one that eventually surfaces in memory, confidence and the overall quality of work produced. The relevant question, each time AI is used, is a straightforward one: is it being used to assist thinking, or to replace it?
References
2. Chow, A. (2025) 'ChatGPT's Impact On Our Brains According to an MIT Study', TIME
