#FactCheck - Bangladeshi Migrant’s Arrest Misrepresented as Indian in Viral Video!
Executive Summary:
An old video dated 2023 showing the arrest of a Bangladeshi migrant for murdering a Polish woman has been going viral massively on social media claiming that he is an Indian national. This viral video was fact checked and debunked.
Claim:
The video circulating on social media alleges that an Indian migrant was arrested in Greece for assaulting a young Christian girl. It has been shared with narratives maligning Indian migrants. The post was first shared on Facebook by an account known as “Voices of hope” and has been shared in the report as well.
Facts:
The CyberPeace Research team has utilized Google Image Search to find the original source of the claim. Upon searching we find the original news report published by Greek City Times in June 2023.
The person arrested in the video clip is a Bangladeshi migrant and not of Indian origin. CyberPeace Research Team assessed the available police reports and other verifiable sources to confirm that the arrested person is Bangladeshi.
The video has been dated 2023, relating to a case that occurred in Poland and relates to absolutely nothing about India migrants.
Neither the Polish government nor authorized news agency outlets reported Indian citizens for the controversy in question.
Conclusion:
The viral video falsely implicating an Indian migrant in a Polish woman’s murder is misleading. The accused is a Bangladeshi migrant, and the incident has been misrepresented to spread misinformation. This highlights the importance of verifying such claims to prevent the spread of xenophobia and false narratives.
- Claim: Video shows an Indian immigrant being arrested in Greece for allegedly assaulting a young Christian girl.
- Claimed On: X (Formerly Known As Twitter) and Facebook.
- Fact Check: Misleading.
Related Blogs
Introduction:
CDR is a term that refers to Call detail records, The Telecom Industries holds the call details data of the users. As it amounts to a large amount of data, the telecom companies retain the data for a period of 6 months. CDR plays a significant role in investigations and cases in the courts. It can be used as pivotal evidence in court proceedings to prove or disprove certain facts & circumstances. Power of Interception of Call detail records is allowed for reasonable grounds and only by the authorized authority as per the laws.
Admissibility of CDR’s in Courts:
Call Details Records (CDRs) can be used as effective pieces of evidence to assist the court in ascertaining the facts of the particular case and inquiring about the commission of an offence, and according to the judicial pronouncements, it is made clear that CDRs can be used supporting or secondary evidence in the court. However, it cannot be the sole basis of the conviction. Section 92 of the Criminal Procedure Code 1973 provides procedure and empowers certain authorities to apply for court or competent authority intervention to seek the CDR.
Legal provisions to obtain CDR:
The CDR can be obtained under the statutory provisions of law contained in section 92 Criminal Procedure Code, 1973. Or under section 5(2) of Indian Telegraph Act 1885, read with rule 419(A) Indian Telegraph Amendment rule 2007. The guidelines were also issued in 2016 by Ministry of Ministry of Home Affairs for seeking Call details records (CDRs)
How long is CDR stored with telecom Companies (Data Retention)
Call Data is retained by telecom companies for a period of 6 months. As the data amounts to high storage, almost several Petabytes per year, telecom companies store the call details data for a period of 6 months and archive the rest of it to tapes.
New Delhi 25Cr jewellery heist
Recently, an incident took place where a 25-crore jewellery theft was carried out in a jewellery shop in Delhi, It was planned and executed by a man from Chhattisgarh. After committing the crime, the criminal went back to Chhattisgarh. It was a case of a 25Cr heist, and the police started their search & investigation. Police used technology and analysed the mobile numbers which were active at the crime scene. Delhi police used advanced software to analyse data. The police were able to trace the mobile number of thieves or suspects active at the crime scene. They discovered suspected contacts who were active within the range of the crime scene, and it helped in the arrest of the main suspects. From around 5,000 mobile numbers active around the crime scene, police have used advanced software that analyses huge data, and then police found a number registered outside of Delhi. The surveillance on the number has revealed that the suspected criminal has moved to the MP from Delhi, then moved further to Bhilai Chattisgarh. Police have successfully arrested the suspected criminal. This incident highlights how technology or call data can assist law enforcement agencies in investigating and finding the real culprits.
Conclusion:
CDR refers to call detail records retained by telecom companies for a period of 6 months, it can be obtained through lawful procedure and by competent authorities only. CDR can be helpful in cases before the court or law enforcement agencies, to assist the court and law enforcement agencies in ascertaining the facts of the case or to prove or disprove certain things. It is important to reiterated that unauthorized seeking of CDR is not allowed; the intervention of the court or competent authority is required to seek the CDR from the telecom companies. CDRs cannot be unauthorizedly obtained, and there has to be a directive from the court or competent authority to do so.
References:
- https://indianlegalsystem.org/cdr-the-wonder-word/#:~:text=CDR%20is%20admissible%20as%20secondary,the%20Indian%20Evidence%20Act%2C%201872.
- https://timesofindia.indiatimes.com/city/delhi/needle-in-a-haystack-how-cops-scanned-5k-mobile-numbers-to-crack-rs-25cr-heist/articleshow/104055687.cms?from=mdr
- https://www.ndtv.com/delhi-news/just-one-man-planned-executed-rs-25-crore-delhi-heist-another-thief-did-him-in-4436494
THREE CENTRES OF EXCELLENCE IN ARTIFICIAL INTELLIGENCE:
India’s Finance Minister, Mrs. Nirmala Sitharaman, with a vision of ‘Make AI for India’ and ‘Make AI work for India, ’ announced during the presentation of Union Budget 2023 that the Indian Government is planning to set up three ‘Centre of Excellence’ for Artificial Intelligence in top Educational Institutions to revolutionise fields such as health, agriculture, etc.
Under the ‘Amirt Kaal,’ i.e., the budget of 2023 is a stepping stone by the government to have a technology-driven knowledge-based economy and the seven priorities that have been set up by the government called ‘Saptarishi’ such as inclusive development, reaching the last mile, infrastructure investment, unleashing potential, green growth, youth power, and financial sector will guide the nation in this endeavor along with leading industry players that will partner in conducting interdisciplinary research, developing cutting edge applications and scalable problem solutions in such areas.
The government has already formed the roadmap for AI in the nation through MeitY, NASSCOM, and DRDO, indicating that the government has already started this AI revolution. For AI-related research and development, the Centre for Artificial Intelligence and Robotics (CAIR) has already been formed, and biometric identification, facial recognition, criminal investigation, crowd and traffic management, agriculture, healthcare, education, and other applications of AI are currently being used.
Even a task force on artificial intelligence (AI) was established on August 24, 2017. The government had promised to set up Centers of Excellence (CoEs) for research, education, and skill development in robotics, artificial intelligence (AI), digital manufacturing, big data analytics, quantum communication, and the Internet of Things (IoT) and by announcing the same in the current Union budget has planned to fulfill the same.
The government has also announced the development of 100 labs in engineering institutions for developing applications using 5G services that will collaborate with various authorities, regulators, banks, and other businesses.
Developing such labs aims to create new business models and employment opportunities. Among others, it will also create smart classrooms, precision farming, intelligent transport systems, and healthcare applications, as well as new pedagogy, curriculum, continual professional development dipstick survey, and ICT implementation will be introduced for training the teachers.
POSSIBLE ROLES OF AI:
The use of AI in top educational institutions will help students to learn at their own pace, using AI algorithms providing customised feedback and recommendations based on their performance, as it can also help students identify their strengths and weaknesses, allowing them to focus their study efforts more effectively and efficiently and will help train students in AI and make the country future-ready.
The main area of AI in healthcare, agriculture, and sustainable cities would be researching and developing practical AI applications in these sectors. In healthcare, AI can be effective by helping medical professionals diagnose diseases faster and more accurately by analysing medical images and patient data. It can also be used to identify the most effective treatments for specific patients based on their genetic and medical history.
Artificial Intelligence (AI) has the potential to revolutionise the agriculture industry by improving yields, reducing costs, and increasing efficiency. AI algorithms can collect and analyse data on soil moisture, crop health, and weather patterns to optimise crop management practices, improve yields and the health and well-being of livestock, predict potential health issues, and increase productivity. These algorithms can identify and target weeds and pests, reducing the need for harmful chemicals and increasing sustainability.
ROLE OF AI IN CYBERSPACE:
Artificial Intelligence (AI) plays a crucial role in cyberspace. AI technology can enhance security in cyberspace, prevent cyber-attacks, detect and respond to security threats, and improve overall cybersecurity. Some of the specific applications of AI in cyberspace include:
- Intrusion Detection: AI-powered systems can analyse large amounts of data and detect signs of potential cyber-attacks.
- Threat Analysis: AI algorithms can help identify patterns of behaviour that may indicate a potential threat and then take appropriate action.
- Fraud Detection: AI can identify and prevent fraudulent activities, such as identity theft and phishing, by analysing large amounts of data and detecting unusual behaviour patterns.
- Network Security: AI can monitor and secure networks against potential cyber-attacks by detecting and blocking malicious traffic.
- Data Security: AI can be used to protect sensitive data and ensure that it is only accessible to authorised personnel.
CONCLUSION:
Introducing AI in top educational institutions and partnering it with leading industries will prove to be a stepping stone to revolutionise the development of the country, as Artificial Intelligence (AI) has the potential to play a significant role in the development of a country by improving various sectors and addressing societal challenges. Overall, we hope to see an increase in efficiency and productivity across various industries, leading to increased economic growth and job creation, improved delivery of healthcare services by increasing access to care and, improving patient outcomes, making education more accessible and effective as AI has the potential to improve various sectors of a country and contribute to its overall development and progress. However, it’s important to ensure that AI is developed and used ethically, considering its potential consequences and impact on society.
References:
Introduction
The digital landscape of the nation has reached a critical point in its evolution. The rapid adoption of technologies such as cloud computing, mobile payment systems, artificial intelligence, and smart infrastructure has led to a high degree of integration between digital systems and governance, commercial activity, and everyday life. As dependence on these systems continues to grow, a wide range of cyber threats has emerged that are complex, multi-layered, and closely interconnected. By 2026, cyber security threats directed at India are expected to include an increasing number of targeted, well-organised, and strategic cyber attacks. These attacks are likely to focus on exploiting the trust placed in technology, institutions, automation, and the fast pace of technological change.
1. Social Engineering 2.0: Hyper-Personalised AI Phishing & Mobile Banking Malware
Cybercriminals have moved from generalised methods to hyper-targeted attacks through AI-based psychological manipulation. In addition to social media profiles, data breaches, and digital/tracking footprints, the latest types of cybercrimes expected in 2026 will involve AI-based analysis of this information to create and increase the use of hyper-targeted phishing emails.
Phishing emails are capable of impersonating banks, employers, and even family members, with all the same regionally or culturally relevant tone, language, and context as would be done if these persons were sending the emails in person.
With malicious applications disguised as legitimate service apps, cybercriminals have the ability to intercept and capture One-Time Passwords (OTPs), hijack user sessions, and steal money from user accounts in a matter of minutes.
These types of attempts or attacks are successful not only because of their technical sophistication, but because they take advantage of human trust at scale, giving them an almost limitless reach into the financial systems of people around the world through their computers and mobile devices.
2. Cloud and Supply Chain Vulnerabilities
As Indian organisations increasingly migrate to cloud infrastructure, cloud misconfigurations are emerging as a major cybersecurity risk. Weak identity controls, exposed storage, and improper access management can allow attackers to bypass traditional network defences. Alongside this, supply chain attacks are expected to intensify in 2026.
In supply chain attacks, cybercriminals compromise a trusted software vendor or service provider to infiltrate multiple downstream organisations. Even entities with strong internal security can be affected through third-party dependencies. For India’s startup ecosystem, government digital platforms, and IT service providers, this presents a systemic risk. Strengthening vendor risk management and visibility across digital supply chains will be essential.
3. Threats to IoT and Critical Infrastructure
By implementing smart cities, digital utilities, and connected public services, IoT has opened itself up to increased levels of operational technology (OT) through India’s initiative. However, there is currently a lack of adequate security in the form of strong authentication, encryption, and update methods available on many IoT devices. By the year 2026, attackers are going to be able to exploit these vulnerabilities much more than they already are.
Cyberattacks on critical infrastructure such as energy, transportation, healthcare, and telecom systems have far-reaching consequences that extend well beyond data loss; they directly affect the provision of essential services, can damage public safety, and raise concerns over national security. Effectively securing critical infrastructure needs to involve dedicated security solutions to deal with the specific needs of critical infrastructure, in contrast to conventional IT security.
4. Hidden File Vectors and Stealth Payload Delivery
SVG File Abuse in Stealth Attacks
Cybercriminals are continually searching for ways to bypass security filters, and hidden file vectors are emerging as a preferred tactic. One such method involves the abuse of SVG (Scalable Vector Graphics) files. Although commonly perceived as harmless image files, SVGs can contain embedded scripts capable of executing malicious actions.
By 2026, SVG-based attacks are expected to be used in phishing emails, cloud file sharing, and messaging platforms. Because these files often bypass traditional antivirus and email security systems, they provide an effective stealth delivery mechanism. Indian organisations will need to rethink assumptions about “safe” file formats and strengthen deep content inspection capabilities.
5. Quantum-Era Cyber Risks and “Harvest Now, Decrypt Later” Attacks
Although practical quantum computers are still emerging, quantum-era cyber risks are already a present-day concern. Adversaries are believed to be intercepting and storing encrypted data now with the intention of decrypting it in the future once quantum capabilities mature—a strategy known as “harvest now, decrypt later.” This poses serious long-term confidentiality risks.
Recognising this threat, the United States took early action during the Biden administration through National Security Memorandum 10, which directed federal agencies to prepare for the transition to quantum-resistant cryptography. For India, similar foresight is essential, as sensitive government communications, financial data, health records, and intellectual property could otherwise be exposed retrospectively. Preparing for quantum-safe cryptography will therefore become a strategic priority in the coming years.
6. AI Trust Manipulation and Model Exploitation
Poisoning the Well – Direct Attacks on AI Models
As artificial intelligence systems are increasingly used for decision-making—ranging from fraud detection and credit scoring to surveillance and cybersecurity—attackers are shifting focus from systems to models themselves. “Poisoning the well” refers to attacks that manipulate training data, feedback mechanisms, or input environments to distort AI outputs.
In the context of India's rapidly growing digital ecosystem, compromised AI models can result in biased decisions, false security alerts or denying legitimate services. The big problem with these types of attacks is they may occur without triggering conventional security measures. Transparency, integrity and continuous monitoring of AI systems will be key to creating and maintaining stakeholder confidence in the decision-making process of the automated systems.
Recommendations
Despite the increasing sophistication of malicious cyber actors, India is entering this phase with a growing level of preparedness and institutional capacity. The country has strengthened its cyber security posture through dedicated mechanisms and relevant agencies such as the Indian Cyber Crime Coordination Centre, which play a central role in coordination, threat response, and capacity building. At the same time, sustained collaboration among government bodies, non-governmental organisations, technology companies, and academic institutions has expanded cyber security awareness, skill development, and research. These collective efforts have improved detection capabilities, response readiness, and public resilience, placing India in a stronger position to manage emerging cyber threats and adapt to the evolving digital environment.
Conclusion
By 2026, complexity, intelligence, and strategic intent will increasingly define cyber threats to the digital ecosystem. Cyber criminals are expected to use advanced methods of attack, including artificial intelligence assisted social engineering and the exploitation of cloud supply chain risks. As these threats evolve, adversaries may also experiment with quantum computing techniques and the manipulation of AI models to create new ways of influencing and disrupting digital systems. In response, the focus of cybersecurity is shifting from merely preventing breaches to actively protecting and restoring digital trust. While technical controls remain essential, they must be complemented by strong cybersecurity governance, adherence to regulatory standards, and sustained user education. As India continues its digital transformation, this period presents a valuable opportunity to invest proactively in cybersecurity resilience, enabling the country to safeguard citizens, institutions, and national interests with confidence in an increasingly complex and dynamic digital future.
References
- https://www.seqrite.com/india-cyber-threat-report-2026/
- https://www.uscsinstitute.org/cybersecurity-insights/blog/ai-powered-phishing-detection-and-prevention-strategies-for-2026
- https://www.expresscomputer.in/guest-blogs/cloud-security-risks-that-should-guide-leadership-in-2026/130849/
- https://www.hakunamatatatech.com/our-resources/blog/top-iot-challenges
- https://csrc.nist.gov/csrc/media/Presentations/2024/u-s-government-s-transition-to-pqc/images-media/presman-govt-transition-pqc2024.pdf
- https://www.cyber.nj.gov/Home/Components/News/News/1721/214
