#FactCheck - AI Artwork Misattributed: Mahendra Singh Dhoni Sand Sculptures Exposed as AI-Generated
Executive Summary:
A recent claim going around on social media that a child created sand sculptures of cricket legend Mahendra Singh Dhoni, has been proven false by the CyberPeace Research Team. The team discovered that the images were actually produced using an AI tool. Evident from the unusual details like extra fingers and unnatural characteristics in the sculptures, the Research Team discerned the likelihood of artificial creation. This suspicion was further substantiated by AI detection tools. This incident underscores the need to fact-check information before posting, as misinformation can quickly go viral on social media. It is advised everyone to carefully assess content to stop the spread of false information.

Claims:
The claim is that the photographs published on social media show sand sculptures of cricketer Mahendra Singh Dhoni made by a child.




Fact Check:
Upon receiving the posts, we carefully examined the images. The collage of 4 pictures has many anomalies which are the clear sign of AI generated images.

In the first image the left hand of the sand sculpture has 6 fingers and in the word INDIA, ‘A’ is not properly aligned i.e not in the same line as other letters. In the second image, the finger of the boy is missing and the sand sculpture has 4 fingers in its front foot and has 3 legs. In the third image the slipper of the boy is not visible whereas some part of the slipper is visible, and in the fourth image the hand of the boy is not looking like a hand. These are some of the major discrepancies clearly visible in the images.
We then checked using an AI Image detection tool named ‘Hive’ image detection, Hive detected the image as 100.0% AI generated.

We then checked it in another AI image detection named ContentAtScale AI image detection, and it found to be 98% AI generated.

From this we concluded that the Image is AI generated and has no connection with the claim made in the viral social media posts. We have also previously debunked AI Generated artwork of sand sculpture of Indian Cricketer Virat Kohli which had the same types of anomalies as those seen in this case.
Conclusion:
Taking into consideration the distortions spotted in the images and the result of AI detection tools, it can be concluded that the claim of the pictures representing the child's sand sculptures of cricketer Mahendra Singh Dhoni is false. The pictures are created with Artificial Intelligence. It is important to check and authenticate the content before posting it to social media websites.
- Claim: The frame of pictures shared on social media contains child's sand sculptures of cricket player Mahendra Singh Dhoni.
- Claimed on: X (formerly known as Twitter), Instagram, Facebook, YouTube
- Fact Check: Fake & Misleading
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Digitisation in Agriculture
The traditional way of doing agriculture has undergone massive digitization in recent years, whereby several agricultural processes have been linked to the Internet. This globally prevalent transformation, driven by smart technology, encompasses the use of sensors, IoT devices, and data analytics to optimize and automate labour-intensive farming practices. Smart farmers in the country and abroad now leverage real-time data to monitor soil conditions, weather patterns, and crop health, enabling precise resource management and improved yields. The integration of smart technology in agriculture not only enhances productivity but also promotes sustainable practices by reducing waste and conserving resources. As a result, the agricultural sector is becoming more efficient, resilient, and capable of meeting the growing global demand for food.
Digitisation of Food Supply Chains
There has also been an increase in the digitisation of food supply chains across the globe since it enables both suppliers and consumers to keep track of the stage of food processing from farm to table and ensures the authenticity of the food product. The latest generation of agricultural robots is being tested to minimise human intervention. It is thought that AI-run processes can mitigate labour shortage, improve warehousing and storage and make transportation more efficient by running continuous evaluations and adjusting the conditions real-time while increasing yield. The company Muddy Machines is currently trialling an autonomous asparagus-harvesting robot called Sprout that not only addresses labour shortages but also selectively harvests green asparagus, which traditionally requires careful picking. However, Chris Chavasse, co-founder of Muddy Machines, highlights that hackers and malicious actors could potentially hack into the robot's servers and prevent it from operating by driving it into a ditch or a hedge, thereby impending core crop activities like seeding and harvesting. Hacking agricultural pieces of machinery also implies damaging a farmer’s produce and in turn profitability for the season.
Case Study: Muddy Machines and Cybersecurity Risks
A cyber attack on digitised agricultural processes has a cascading impact on online food supply chains. Risks are non-exhaustive and spill over to poor protection of cargo in transit, increased manufacturing of counterfeit products, manipulation of data, poor warehousing facilities and product-specific fraud, amongst others. Additional impacts on suppliers are also seen, whereby suppliers have supplied the food products but fail to receive their payments. These cyber-threats may include malware(primarily ransomware) that accounts for 38% of attacks, Internet of Things (IoT) attacks that comprise 29%, Distributed Denial of Service (DDoS) attacks, SQL Injections, phishing attacks etc.
Prominent Cyber Attacks and Their Impacts
Ransomware attacks are the most popular form of cyber threats to food supply chains and may include malicious contaminations, deliberate damage and destruction of tangible assets (like infrastructure) or intangible assets (like reputation and brand). In 2017, NotPetya malware disrupted the world’s largest logistics giant Maersk and destroyed all end-user devices in more than 60 countries. Interestingly, NotPetya was also linked to the malfunction of freezers connected to control systems. The attack led to these control systems being compromised, resulting in freezer failures and potential spoilage of food, highlighting the vulnerability of industrial control systems to cyber threats.
Further Case Studies
NotPetya also impacted Mondelez, the maker of Oreos but disrupting its email systems, file access and logistics for weeks. Mondelez’s insurance claim was also denied since NotPetya malware was described as a “war-like” action, falling outside the purview of the insurance coverage. In April 2021, over the Easter weekend, Bakker Logistiek, a logistics company based in the Netherlands that offers air-conditioned warehousing and food transportation for Dutch supermarkets, experienced a ransomware attack. This incident disrupted their supply chain for several days, resulting in empty shelves at Albert Heijn supermarkets, particularly for products such as packed and grated cheese. Despite the severity of the attack, the company successfully restored their operations within a week by utilizing backups. JBS, one of the world’s biggest meat processing companies, also had to pay $11 million in ransom via Bitcoin to resolve a cyber attack in the same year, whereby computer networks at JBS were hacked, temporarily shutting down their operations and endangering consumer data. The disruption threatened food supplies and risked higher food prices for consumers. Additional cascading impacts also include low food security and hindrances in processing payments at retail stores.
Credible Threat Agents and Their Targets
Any cyber-attack is usually carried out by credible threat agents that can be classified as either internal or external threat agents. Internal threat agents may include contractors, visitors to business sites, former/current employees, and individuals who work for suppliers. External threat agents may include activists, cyber-criminals, terror cells etc. These threat agents target large organisations owing to their larger ransom-paying capacity, but may also target small companies due to their vulnerability and low experience, especially when such companies are migrating from analogous methods to digitised processes.
The Federal Bureau of Investigation warns that the food and agricultural systems are most vulnerable to cyber-security threats during critical planting and harvesting seasons. It noted an increase in cyber-attacks against six agricultural co-operatives in 2021, with ancillary core functions such as food supply and distribution being impacted. Resultantly, cyber-attacks may lead to a mass shortage of food not only meant for human consumption but also for animals.
Policy Recommendations
To safeguard against digital food supply chains, Food defence emerges as one of the top countermeasures to prevent and mitigate the effects of intentional incidents and threats to the food chain. While earlier, food defence vulnerability assessments focused on product adulteration and food fraud, including vulnerability assessments of agriculture technology now be more relevant.
Food supply organisations must prioritise regular backups of data using air-gapped and password-protected offline copies, and ensure critical data copies are not modifiable or deletable from the main system. For this, blockchain-based food supply chain solutions may be deployed, which are not only resilient to hacking, but also allow suppliers and even consumers to track produce. Companies like Ripe.io, Walmart Global Tech, Nestle and Wholechain deploy blockchain for food supply management since it provides overall process transparency, improves trust issues in the transactions, enables traceable and tamper-resistant records and allows accessibility and visibility of data provenance. Extensive recovery plans with multiple copies of essential data and servers in secure, physically separated locations, such as hard drives, storage devices, cloud or distributed ledgers should be adopted in addition to deploying operations plans for critical functions in case of system outages. For core processes which are not labour-intensive, including manual operation methods may be used to reduce digital dependence. Network segmentation, updates or patches for operating systems, software, and firmware are additional steps which can be taken to secure smart agricultural technologies.
References
- Muddy Machines website, Accessed 26 July 2024. https://www.muddymachines.com/
- “Meat giant JBS pays $11m in ransom to resolve cyber-attack”, BBC, 10 June 2021. https://www.bbc.com/news/business-57423008
- Marshall, Claire & Prior, Malcolm, “Cyber security: Global food supply chain at risk from malicious hackers.”, BBC, 20 May 2022. https://www.bbc.com/news/science-environment-61336659
- “Ransomware Attacks on Agricultural Cooperatives Potentially Timed to Critical Seasons.”, Private Industry Notification, Federal Bureau of Investigation, 20 April https://www.ic3.gov/Media/News/2022/220420-2.pdf.
- Manning, Louise & Kowalska, Aleksandra. (2023). “The threat of ransomware in the food supply chain: a challenge for food defence”, Trends in Organized Crime. https://doi.org/10.1007/s12117-023-09516-y
- “NotPetya: the cyberattack that shook the world”, Economic Times, 5 March 2022. https://economictimes.indiatimes.com/tech/newsletters/ettech-unwrapped/notpetya-the-cyberattack-that-shook-the-world/articleshow/89997076.cms?from=mdr
- Abrams, Lawrence, “Dutch supermarkets run out of cheese after ransomware attack.”, Bleeping Computer, 12 April 2021. https://www.bleepingcomputer.com/news/security/dutch-supermarkets-run-out-of-cheese-after-ransomware-attack/
- Pandey, Shipra; Gunasekaran, Angappa; Kumar Singh, Rajesh & Kaushik, Anjali, “Cyber security risks in globalised supply chains: conceptual framework”, Journal of Global Operations and Strategic Sourcing, January 2020. https://www.researchgate.net/profile/Shipra-Pandey/publication/338668641_Cyber_security_risks_in_globalized_supply_chains_conceptual_framework/links/5e2678ae92851c89c9b5ac66/Cyber-security-risks-in-globalized-supply-chains-conceptual-framework.pdf
- Daley, Sam, “Blockchain for Food: 10 examples to know”, Builin, 22 March 2023 https://builtin.com/blockchain/food-safety-supply-chain

Introduction
In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.
Incident Response and Crisis Management
Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.
How Automation Reinvents Response
Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.
Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.
The Intelligence Layer: AI in Action
If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.
AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement.
Real-World Applications and Case Studies
Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.
Challenges and Limitations
While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.
Creating a Human-AI Collaboration
The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.
Conclusion
Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.
References
- https://www.sisainfosec.com/blogs/incident-response-automation/
- https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
- https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
- https://www.motadata.com/blog/role-of-automation-in-incident-management/

Overview:
It is worth stating that millions of Windows users around the world are facing the Blue Screen of Death (BSOD) problem that makes systems shutdown or restart. This has been attributed to a CrowdStrike update that was released recently and has impacted many organizations, financial institutions, and government agencies across the globe. Indian airlines have also reported disruptions on X (formerly Twitter), informing passengers about the issue.
Understanding Blue Screen of Death:
Blue Screen errors, also known as black screen errors or STOP code errors, can occur due to critical issues forcing Windows to shut down or restart. You may encounter messages like "Windows has been shut down to prevent damage to your computer." These errors can be caused by hardware or software problems.
Impact on Industries
Some of the large U. S. airlines such as American Airlines, Delta Airlines, and United Airlines had to issue ground stops because of communication problems. Also, several airports on Friday suffered a massive technical issue in check-in kiosks for IndiGo, Akasa Air, SpiceJet, and Air India Express.
The Widespread Issue
The issue seems widespread and is causing disruption across the board as Windows PCs are deployed at workplaces and other public entities like airlines, banks, and even media companies. It has been pointed out that Windows PCs use a special cybersecurity solution from a company called CrowdStrike that seems to be the culprit for this outage, affecting most Windows PC users out there.
Microsoft's Response
The issue was acknowledged by Microsoft and the mitigations are underway. The company in its verified X handle Microsoft 365 status has shared a series information on the latest outage and they are looking into the matter. The issue is under investigation.
In one of the posts from Microsoft Azure, it is mentioned that they have become aware of an issue affecting Virtual Machines (VMs) running Windows Client and Windows Server with the CrowdStrike Falcon agent installed. These VMs may encounter a bug check (BSOD) and become stuck in a restarting state. Their analysis indicates that this issue started approximately at 19:00 UTC on July 18th. They have provided recommendations as follows:
Restore from Backup: In case customers have available backups prior to 19:00 UTC on July 18th, they should recover VM data from the backups. If the customer is using Azure Backup, they can get exact steps on how to restore VM data in the Azure portal. here.
Offline OS Disk Repair: Alternatively, customers can attempt offline repair of the OS disk by attaching an unmanaged disk to the affected VM. Encrypted disks may require additional steps to unlock before repair. Once attached, delete the following file:
Windows/System/System32/Drivers/CrowdStrike/C00000291*.sys
After deletion, reattach the disk to the original VM.
Microsoft Azure is actively investigating additional mitigation options for affected customers. We will provide updates as we gather more information.
Resolving Blue Screen Errors in Windows
Windows 11 & Windows 10:
Blue Screen errors can stem from both hardware and software issues. If new hardware was added before the error, try removing it and restarting your PC. If restarting is difficult, start your PC in Safe Mode.
To Start in Safe Mode:
From Settings:
Open Settings > Update & Security > Recovery.
Under "Advanced startup," select Restart now.
After your PC restarts to the Choose an option screen, select Troubleshoot > Advanced options > Startup Settings > Restart.
After your PC restarts, you'll see a list of options. Select 4 or press F4 to start in Safe Mode. If you need to use the internet, select 5 or press F5 for Safe Mode with Networking.
From the Sign-in Screen:
Restart your PC. When you get to the sign-in screen, hold the Shift key down while you select Power > Restart.
After your PC restarts, follow the steps above.
From a Black or Blank Screen:
Press the power button to turn off your device, then turn it back on. Repeat this two more times.
After the third time, your device will start in the Windows Recovery Environment (WinRE).
From the Choose an option screen, follow the steps to enter Safe Mode.
Additional Help:
Windows Update: Ensure your system has the latest patches.
Blue Screen Troubleshooter: In Windows, open Get Help, type Troubleshoot BSOD error, and follow the guided walkthrough.
Online Troubleshooting: Visit Microsoft's support page and follow the recommendations under "Recommended Help."
If none of those steps help to resolve your Blue Screen error, please try the Blue Screen Troubleshooter in the Get Help app:
- In Windows, open Get Help.
- In the Get Help app, type Troubleshoot BSOD error.
- Follow the guided walkthrough in the Get Help app.
[Note: If you're not on a Windows device, you can run the Blue Screen Troubleshooter on your browser by going to Contact Microsoft Support and typing Troubleshoot BSOD error. Then follow the guided walkthrough under "Recommended Help."]
For detailed steps and further assistance, please refer to the Microsoft support portal or contact their support team.
CrowdStrike’s Response:
In the statement given by CrowdStrike, they have clearly mentioned it is not any cyberattack and their resources are working to fix the issue on Windows. Further, they have identified the deployment issue and fixed the same. Crowdstrike mentions about their problematic versions as follows:
- “Channel file "C-00000291*.sys" with timestamp of 0527 UTC or later is the reverted (good) version.
- Channel file "C-00000291*.sys" with timestamp of 0409 UTC is the problematic version.
Note: It is normal for multiple "C-00000291*.sys files to be present in the CrowdStrike directory - as long as one of the files in the folder has a timestamp of 0527 UTC or later, that will be the active content.”
The CrowdStrike will be providing latest updates on the same and advises their customers and organizations to contact their officials officially to get latest updates and accurate information. It is encouraged to refer to customer’s support portal for further help.
Stay safe and ensure regular backups to mitigate the impact of such issues.
References:
https://status.cloud.microsoft/
https://www.crowdstrike.com/blog/statement-on-falcon-content-update-for-windows-hosts/