#FactCheck - Viral Image of Broken Mahatma Gandhi Statue Is Not from Bangladesh
An image showing a damaged statue of Mahatma Gandhi, broken into two pieces, is being widely shared on social media. The image shows Gandhi’s statue with its head separated from the body, prompting strong reactions online.
Social media users are claiming that the incident occurred in Bangladesh, alleging that Mahatma Gandhi’s statue was deliberately vandalised there. The image is being described as a recent incident and is being circulated across platforms with provocative and inflammatory captions.
Cyber Peace Foundation’s research and verification found that the claim being shared online is misleading. Our rsearch revealed that the viral image is not from Bangladesh. The image is actually from Chakulia in Uttar Dinajpur district of West Bengal, India
Claim:
Social media users claim that Mahatma Gandhi’s statue was vandalised in Bangladesh, and that the viral image shows a recent incident from the country.One Facebook user shared the video on 19 January 2026, making derogatory remarks and falsely linking the incident to Bangladesh. The post has since been widely shared on social media platforms. (Archived links and screenshots are available.)
Fact Check:
Our research revealed that the viral image is not from Bangladesh. The image is actually from Chakulia in Uttar Dinajpur district of West Bengal, India. To verify the claim, we conducted a reverse image search using Google Lens on key frames from the viral video. This led us to a report published by ABP Live Bangla on 16 January 2026, which featured the same visuals. Link and screenshot
According to ABP Live Bangla, the statue of Mahatma Gandhi was damaged during a protest in Chakulia. The statue’s head was found separated from the body. While a portion of the broken statue remained at the site on Thursday night, it was reported missing by Friday morning. The report further stated that extensive damage was observed at BDO Office No. 2 in Golpokhar. Gandhi’s statue, located at the entrance of the administrative building, was found broken, and ashes were discovered near the premises. Government staff were seen clearing scattered debris from the site.
The incident reportedly occurred during a SIR (Special Intensive Revision) hearing at the BDO office, which was disrupted due to vandalism. In connection with the violence and damage to government property, 21 people have been arrested so far. In the next stage of verification, we found the same footage in a 16 January 2026 report by local Bengali news channel K TV, which also showed clear visuals of the damaged Mahatma Gandhi statue. Link and screenshot.
Conclusion:
The viral image of Mahatma Gandhi’s broken statue does not depict an incident from Bangladesh. The image is from Chakulia in West Bengal’s Uttar Dinajpur district, where the statue was damaged during a protest.
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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/
Introduction
Given the era of digital trust and technological innovation, the age of artificial intelligence has provided a new dimension to how people communicate and how they create and consume content. However, like all borrowed powers, the misuse of AI can lead to terrible consequences. One recent dark example was a cybercrime in Brazil: a sophisticated online scam using deepfake technology to impersonate celebrities of global stature, including supermodel Gisele Bündchen, in misleading Instagram ads. Luring in millions of reais in revenue, this crime clearly brings forth the concern of AI-generative content having rightfully set on the side of criminals.
Scam in Motion
Lately, the federal police of Brazil have stated that this scheme has been in circulation since 2024, when the ads were already being touted as apparently very genuine, using AI-generated video and images. The ads showed Gisele Bündchen and other celebrities endorsing skincare products, promotional giveaways, or time-limited discounts. The victims were tricked into making petty payments, mostly under 100 reais (about $19) for these fake products or were lured into paying "shipping costs" for prizes that never actually arrived.
The criminals leveraged their approach by scaling it up and focusing on minor losses accumulated from every victim, thus christening it "statistical immunity" by investigators. Victims being pocketed only a couple of dollars made most of them stay on their heels in terms of filing a complaint, thereby allowing these crooks extra limbs to shove on. Over time, authorities estimated that the group had gathered over 20 million reais ($3.9 million) in this elaborate con.
The scam was detected when a victim came forth with the information that an Instagram advertisement portraying a deepfake video of Gisele Bündchen was indeed false. With Anna looking to be Gisele and on the recommendation of a skincare company, the deepfake video was the most well-produced fake video. On going further into the matter, it became apparent that the investigations uncovered a whole network of deceptive social media pages, payment gateways, and laundering channels spread over five states in Brazil.
The Role of AI and Deepfakes in Modern Fraud
It is one of the first few large-scale cases in Brazil where AI-generated deepfakes have been used to perpetrate financial fraud. Deepfake technology, aided by machine learning algorithms, can realistically mimic human appearance and speech and has become increasingly accessible and sophisticated. Whereas before a level of expertise and computer resources were needed, one now only requires an online tool or app.
With criminals gaining a psychological advantage through deepfakes, the audiences would be more willing to accept the ad as being genuine as they saw a familiar and trusted face, a celebrity known for integrity and success. The human brain is wired to trust certain visual cues, making deepfakes an exploitation of this cognitive bias. Unlike phishing emails brimming with spelling and grammatical errors, deepfake videos are immersive, emotional, and visually convincing.
This is the growing terrain: AI-enabled misinformation. From financial scams to political propaganda, manipulated media is killing trust in the digital ecosystem.
Legalities and Platform Accountability
The Brazilian government had taken a proactive stance on the issue. In June 2025, the country's Supreme Court held that social media platforms could be held liable for failure to expeditiously remove criminal content, even in the absence of a formal order from a court. The icing on the cake is that that judgment would go a long way in architecting platform accountability in Brazil and potentially worldwide as jurisdictions adopt processes to deal with AI-generated fraud.
Meta, the parent company of Instagram, had said its policies forbid "ads that deceptively use public figures to scam people." Meta claims to use advanced detection mechanisms, trained review teams, and user tools to report violations. The persistence of such scams shows that the enforcement mechanisms still lag the pace and scale of AI-based deception.
Why These Scams Succeed
There are many reasons for the success of these AI-powered scams.
- Trust Due to Familiarity: Human beings tend to believe anything put forth by a known individual.
- Micro-Fraud: Keeping the money laundered from victims small prevents any increase in the number of complaints about these crimes.
- Speed To Create Content: New ads are being generated by criminals faster than ads can be checked for and removed by platforms via AI tools.
- Cross-Platform Propagation: A deepfake ad is then reshared onto various other social networking platforms once it starts gaining some traction, thereby worsening the problem.
- Absence of Public Awareness: Most users still cannot discern manipulated media, especially when high-quality deepfakes come into play.
Wider Implications on Cybersecurity and Society
The Brazilian case is but a microcosm of a much bigger problem. With deepfake technology evolving, AI-generated deception threatens not only individuals but also institutions, markets, and democratic systems. From investment scams and fake charters to synthetic IDs for corporate fraud, the possibilities for abuse are endless.
Moreover, with generative AIs being adopted by cybercriminals, law enforcement faces obstructions to properly attributing, validating evidence, and conducting digital forensics. Determining what is actual and what is manipulated has now given rise to the need for a forensic AI model that has triggered the deployment of the opposite on the other side, the attacker, thus initiating a rising tech arms race between the two parties.
Protecting Citizens from AI-Powered Scams
Public awareness has remained the best defence for people in such scams. Gisele Bündchen's squad encouraged members of the public to verify any advertisement through official brand or celebrity channels before engaging with said advertisements. Consumers need to be wary of offers that appear "too good to be true" and double-check the URL for authenticity before sharing any kind of personal information
Individually though, just a few acts go so far in lessening some of the risk factors:
- Verify an advertisement's origin before clicking or sharing it
- Never share any monetary or sensitive personal information through an unverifiable link
- Enable two-factor authentication on all your social accounts
- Periodically check transaction history for any unusual activity
- Report any deepfake or fraudulent advertisement immediately to the platform or cybercrime authorities
Collaboration will be the way ahead for governments and technology companies. Investing in AI-based detection systems, cooperating on international law enforcement, and building capacity for digital literacy programs will enable us to stem this rising tide of synthetic media scams.
Conclusion
The deepfake case in Brazil with Gisele Bündchen acts as a clarion for citizens and legislators alike. This shows the evolution of cybercrime that profited off the very AI technologies that were once hailed for innovation and creativity. In this new digital frontier that society is now embracing, authenticity stands closer to manipulation, disappearing faster with each dawn.
While keeping public safety will certainly still require great cybersecurity measures in this new environment, it will demand equal contributions on vigilance, awareness, and ethical responsibility. Deepfakes are not only a technology problem but a societal one-crossing into global cooperation, media literacy, and accountability at every level throughout the entire digital ecosystem.
Introduction
In the advanced age of digitalization, the user base of Android phones is high. Our phones have become an integral part of our daily life activities from making online payments, booking cabs, playing online games, booking movie & show tickets, conducting online business activities, social networking, emailing and communication, we utilize our mobile phone devices. The Internet is easily accessible to everyone and offers various convenient services to users. People download various apps and utilize various services on the internet using their Android devices. Since it offers convenience, but in the growing digital landscape, threats and vulnerabilities have also emerged. Fraudsters find the vulnerabilities and target the users. Recently, various creepy online scams such as AI-based scams, deepfake scams, malware, spyware, malicious links leading to financial frauds, viruses, privacy breaches, data leakage, etc. have been faced by Android mobile users. Android mobile devices are more prone to vulnerabilities as compared to iOS. However, both Android and iOS platforms serve to provide safer digital space to mobile users. iOS offers more security features. but we have to play our part and be careful. There are certain safety measures which can be utilised by users to be safe in the growing digital age.
User Responsibility:
Law enforcement agencies have reported that they have received a growing number of complaints showing malware being used to compromise Android mobile devices. Both the platforms, Android and Google, have certain security mechanisms in place. However, cybersecurity experts emphasize that users must actively take care of safeguarding their mobile devices from evolving online threats. In this era of evolving cyber threats, being precautious and vigilant and personal responsibility for digital security is paramount.
Being aware of evolving scams
- Deepfake Scams: Deepfake is an AI-based technology. Deepfake is capable of creating realistic images or videos which in actuality are created by machine algorithms. Deepfake technology, since easily accessible, is misused by fraudsters to commit various cyber crimes or deceive and scam people through fake images or videos that look realistic. By using the Deepfake technology, cybercriminals manipulate audio and video content which looks very realistic but, in actuality, is fake.
- Voice cloning: To create a voice clone of anyone's, audio can be deepfaked too, which closely resembles a real one but, in actuality, is a fake voice created through deepfake technology. Recently, in Kerala, a man fell victim to an AI-based video call on WhatsApp. He received a video call from a person claiming to be his former colleague. The scammer, using AI deepfake technology, impersonated the face of his former colleague and asked for financial help of 40,000.
- Stalkerware or spyware: Stalkware or spyware is one of the serious threats to individual digital safety and personal information. Stalkware is basically software installed into your device without your consent or knowledge in order to track your activities and exploit your data. Stalkware, also referred to as spyware, is a type of malicious software secretly installed on your device without your knowledge. Its purpose is to track you or monitor your activities and record sensitive information such as passwords, text messages, GPS location, call history and access to your photos and videos. Cybercriminals and stalkers use this malicious software to unauthorisedly gain access to someone's phone devices.
Best practices or Cyber security tips:
- Keep your software up to date: Turn on automatic software updates for your device and make sure your mobile apps are up to date.
- Using strong passwords: Use strong passwords on your lock/unlock and on important apps on your mobile device.
- Using 2FA or multi-factor authentication: Two-factor authentication or multi-factor authentication provides extra layers of security. Be cautious before clicking on any link and downloading any app or file: Users are often led to click on malicious online links. Scammers may present such links to users through false advertisements on social media platforms, payment processes for online purchases, or in phone text messages. Through the links, victims are led either to phishing sites to give away personal data or to download harmful Android Package Kit (APK) files used to distribute and install apps on Android mobile phones.
- Secure Payments: Do not open any malicious links. Always make payments from secure and trusted payment apps. Use strong passwords for your payment apps as well. And secure your banking credentials.
- Safe browsing: Pay due care and attention while clicking on any link and downloading content. Ignore the links or attachments of suspicious emails which are from an unknown sender.
- Do not download third-party apps: Using an APK file to download a third-party app to an Android device is commonly known as sideloading. Be cautious and avoid downloading apps from third-party or dubious sites. Doing so may lead to the installation of malware in the device, which in turn may result in confidential and sensitive data such as banking credentials being stolen. Always download apps only from the official app store.
- App permissions: Review app permission and only grant permission which is necessary to use that app.
- Do not bypass security measures: Android offers more flexibility in the mobile operating system and in mobile settings. For example, sideloading of apps is disabled by default, and alerts are also in place to warn users. However, an unwitting user who may not truly understand the warnings may simply grant permission to an app to bypass the default setting.
- Monitoring: Regularly monitor your devices and system logs for security check-ups and for detecting any suspicious activity.
- Reporting online scams: A powerful resource available to victims of cybercrime is the National Cyber Crime Reporting Portal, equipped with a 24x7 helpline number, 1930. This portal serves as a centralized platform for reporting cybercrimes, including financial fraud.
Conclusion:
The era of digitalisation has transformed our lives, with Android phones becoming an integral part of our daily routines. While these devices offer convenience, they also expose us to online threats and vulnerabilities, such as scams like deepfake technology-based scams, voice clones, spyware, malware, and malicious links that can lead to significant financial and privacy breaches. Android devices might be more susceptible to such scams. By being aware of emerging scams like deepfakes, spyware, and other malicious activities, we can take proactive steps to safeguard our digital lives. Our mobile devices remain as valuable assets for us. However, they are also potential targets for cybercriminals. Users must remain proactive in protecting their devices and personal data from potential threats. By taking personal responsibility for our digital security and following these best practices, we can navigate the digital landscape with confidence, ensuring that our Android phones remain powerful tools for convenience and connection while keeping our data and privacy intact and staying safe from online threats and vulnerabilities.
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