#FactCheck-Claim of Jaguar Jet Failing to Land During IAF Drill Is Fake; Viral Video Digitally Manipulated

Disclaimer:

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This report is the collaborative outcome of insights derived from the CyberPeace Helpline’s operational statistics and the CyberPeace Research Team, covering the monthly helpline case trends of May 2025, the report identifies recurring trends, operational challenges, and strategic opportunities. The objective is to foster research-driven solutions that enhance the overall efficacy of the helpline. 

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Executive Summary:

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This report summarizes the cybercrime cases reported in May, offering insights into case types, gender distribution, resolution status, and geographic trends.

As per our analysis, out of various Cyber Frauds Financial Fraud was the most reported issue, making up 43% of cases, followed by Cyberbullying (26%) and Impersonation (14%). Less frequent but serious issues included Sexual Harassment, Sextortion, Hacking, Data Tampering, and Cyber Defamation, each accounting for 3–6%, highlighting a mix of financial and behavioral threats.The gender distribution was fairly balanced, with 51% male and 49% female respondents. While both genders were affected by major crimes like financial fraud and cyber bullying, some categories—such as sexual harassment—reflected more gender-specific risks, indicating the need for gender-responsive policies and support.

Regarding case status, 60% remain under follow-up while 40% have been resolved, reflecting strong case-handling efforts by the team.

The location-wise data shows higher case concentrations in Uttar Pradesh, Andhra Pradesh, Karnataka, and West Bengal, with significant reports also from Delhi, Telangana, Maharashtra, and Odisha. Reports from the northeastern and eastern states confirm the nationwide spread of cyber incidents.In conclusion, the findings point to a growing need for enhanced cybersecurity awareness, preventive strategies, and robust digital safeguards to address the evolving cyber threat landscape across India.

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Cases Received in May:

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As per the given dataset, the following types of cases were reported to our team during the month of May:

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• 💰 Financial Fraud – 43%
• 💬 Cyber Bullying – 26%
• 🕵️‍♂️ Impersonation – 14%
• 🚫 Sexual Harassment – 6%
• 📸 Sextortion – 3%
• 💻 Hacking – 3%
• 📝 Data Tampering – 3%
• 🗣️ Cyber Defamation – 3%

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The chart illustrates various cybercrime categories and their occurrence rates. Financial Fraud emerges as the most common, accounting for 43% of cases, highlighting the critical need for stronger digital financial security. This is followed by Cyber Bullying at 26%, reflecting growing concerns around online harassment, especially among youth. Impersonation ranks third with 14%, involving identity misuse for deceitful purposes. Less frequent but still serious crimes such as Sexual Harassment (6%), Sextortion, Hacking, Data Tampering, and Cyber Defamation (each 3%) also pose significant risks to users’ privacy and safety. Overall, the data underscores the need for improved cybersecurity awareness, legal safeguards, and preventive measures to address both financial and behavioral threats in the digital space.

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Gender-Wise Distribution:

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• 👨 Male – 51%
• 👩 Female – 49%

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The chart illustrates the distribution of respondents by gender. The data shows that Male participants make up 51% of the total, while Female participants account for 49%. This indicates a fairly balanced representation of both genders, with a slight majority of male respondents.

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Gender-Wise Case Distribution:

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1. The chart presents a gender-wise distribution of various cybercrime cases, offering a comparative view of how different types of cyber incidents affect males and females.
2. It highlights that both genders are significantly impacted by cybercrimes such as financial fraud and cyber bullying, indicating a widespread risk across the board.
3. Certain categories, including sexual harassment, cyber defamation, and hacking, show more gender-specific patterns of victimization, pointing to differing vulnerabilities.
4. The data suggests the need for gender-sensitive policies and preventive measures to effectively address the unique risks faced by males and females in the digital space.
5. These insights can inform the design of tailored awareness programs, support services, and intervention strategies aimed at improving cybersecurity for all individuals.

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‍Major Location Wise Distribution:

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The map visualization displays location-wise distribution of reported cases across India. The cases reflect the cyber-related incidents or cases mapped geographically.

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The map highlights the regional distribution of cybercrime cases across Indian states, with a higher concentration in Uttar Pradesh, Andhra Pradesh, Karnataka, and West Bengal. States like Delhi, Telangana, Maharashtra, and Odisha also show notable activity, indicating widespread cyber threats. Regions including Assam, Tripura, Bihar, Jharkhand, and Jammu & Kashmir further reflect the pan-India spread of such incidents. This distribution stresses the need for targeted cybersecurity awareness and stronger digital safeguards nationwide

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CyberPeace Advisory:

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• Use Strong and Unique Passwords: Create complex passwords using a mix of letters, numbers, and symbols. Avoid reusing the same password across multiple platforms.
  
• Enable Multi-Factor Authentication (MFA): Add an extra layer of security by using a second verification step like an OTP or authentication app.
  
• Keep Software Updated: Regularly update your operating system, apps, and security tools to protect against known vulnerabilities.
  
• Install Trusted Security Software: Use reliable antivirus and anti-malware programs to detect and block threats.
  
• Limit Information Sharing: Be cautious about sharing personal or sensitive details, especially on social media or public platforms.
  
• Secure Your Network: Protect your Wi-Fi with a strong password and encryption. Avoid accessing confidential information on public networks.
  
• Back Up Important Data: Regularly save copies of important files in secure storage to prevent data loss in case of an attack.
  
• Stay Informed with Cybersecurity Training: Learn how to identify scams, phishing attempts, and other online threats through regular awareness sessions.
  
• Control Access to Data: Give access to sensitive information only to those who need it, based on their job roles.
• ‍Monitor and Respond to Threats: Continuously monitor systems for unusual activity and have a clear response plan for handling security incidents.

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• CyberPeace Helpline mail ID:  helpline@cyberpeace.net
• CyberPeace Helpline Number:  9570000066
• Central Government Helpline: https://cybercrime.gov.in/
• Central Government Helpline Number: 1930

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Conclusion

The cybercrime cases reported in May highlight a diverse and evolving threat landscape across India. Financial fraud, cyber bullying, and impersonation are the most prevalent, affecting both genders almost equally, though some crimes like sexual harassment call for targeted gender-sensitive measures. With 60% of cases still under follow-up, the team’s efforts in investigation and resolution remain strong. Geographically, cyber incidents are widespread, with higher concentrations in several key states, demonstrating that no region is immune. These findings underscore the urgent need to enhance cybersecurity awareness, strengthen preventive strategies, and build robust digital safeguards. Proactive and inclusive approaches are essential to protect individuals and communities and to address the growing challenges posed by cybercrime nationwide.

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Executive Summary:

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We have identified a post addressing a scam email that falsely claims to offer a download link for an e-PAN Card. This deceptive email is designed to mislead recipients into disclosing sensitive financial information by impersonating official communication from Income Tax Department authorities. Our report aims to raise awareness about this fraudulent scheme and emphasize the importance of safeguarding personal data against such cyber threats.

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Claim:

Scammers are sending fake emails, asking people to download their e-PAN cards. These emails pretend to be from government authorities like the Income Tax Department and contain harmful links that can steal personal information or infect devices with malware.

Fact Check: 

Through our research, we have found that scammers are sending fake emails, posing as the Income Tax Department, to trick users into downloading e-PAN cards from unofficial links. These emails contain malicious links that can lead to phishing attacks or malware infections. Genuine e-PAN services are only available through official platforms such as the Income Tax Department's website (www.incometaxindia.gov.in) and the NSDL/UTIITSL portals. Despite repeated warnings, many individuals still fall victim to such scams. To combat this, the Income Tax Department has a dedicated page for reporting phishing attempts: Report Phishing - Income Tax India. It is crucial for users to stay cautious, verify email authenticity, and avoid clicking on suspicious links to protect their personal information.

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Conclusion:   

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The emails currently in circulation claiming to provide e-PAN card downloads are fraudulent and should not be trusted. These deceptive messages often impersonate government authorities and contain malicious links that can result in identity theft or financial fraud. Clicking on such links may compromise sensitive personal information, putting individuals at serious risk. To ensure security, users are strongly advised to verify any such communication directly through official government websites and avoid engaging with unverified sources. Additionally, any phishing attempts should be reported to the Income Tax Department and also to the National Cyber Crime Reporting Portal to help prevent the spread of such scams. Staying vigilant and exercising caution when handling unsolicited emails is crucial in safeguarding personal and financial data.

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• Claim: Fake emails claim to offer e-PAN card downloads.
• Claimed On: Social Media
• Fact Check:  False and Misleading 

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Introduction

The increasing online interaction and popularity of social media platforms for netizens have made a breeding ground for misinformation generation and spread. Misinformation propagation has become easier and faster on online social media platforms, unlike traditional news media sources like newspapers or TV. The big data analytics and Artificial Intelligence (AI) systems have made it possible to gather, combine, analyse and indefinitely store massive volumes of data. The constant surveillance of digital platforms can help detect and promptly respond to false and misinformation content. 

During the recent Israel-Hamas conflict, there was a lot of misinformation spread on big platforms like X (formerly Twitter) and Telegram. Images and videos were falsely shared attributing to the ongoing conflict, and had spread widespread confusion and tension. While advanced technologies such as AI and big data analytics can help flag harmful content quickly, they must be carefully balanced against privacy concerns to ensure that surveillance practices do not infringe upon individual privacy rights. Ultimately, the challenge lies in creating a system that upholds both public security and personal privacy, fostering trust without compromising on either front.

The Need for Real-Time Misinformation Surveillance

According to a recent survey from the Pew Research Center, 54% of U.S. adults at least sometimes get news on social media. The top spots are taken by Facebook and YouTube respectively with Instagram trailing in as third and TikTok and X as fourth and fifth. Social media platforms provide users with instant connectivity allowing them to share information quickly with other users without requiring the permission of a gatekeeper such as an editor as in the case of traditional media channels. 

Keeping in mind the data dumps that generated misinformation due to the elections that took place in 2024 (more than 100 countries), the public health crisis of COVID-19, the conflicts in the West Bank and Gaza Strip and the sheer volume of information, both true and false, has been immense. Identifying accurate information amid real-time misinformation is challenging. The dilemma emerges as the traditional content moderation techniques may not be sufficient in curbing it. Traditional content moderation alone may be insufficient, hence the call for a dedicated, real-time misinformation surveillance system backed by AI and with certain human sight and also balancing the privacy of user's data, can be proven to be a good mechanism to counter misinformation on much larger platforms. The concerns regarding data privacy need to be prioritized before deploying such technologies on platforms with larger user bases. 

Ethical Concerns Surrounding Surveillance in Misinformation Control

Real-time misinformation surveillance could pose significant ethical risks and privacy risks. Monitoring communication patterns and metadata, or even inspecting private messages, can infringe upon user privacy and restrict their freedom of expression. Furthermore, defining misinformation remains a challenge; overly restrictive surveillance can unintentionally stifle legitimate dissent and alternate perspectives. Beyond these concerns, real-time surveillance mechanisms could be exploited for political, economic, or social objectives unrelated to misinformation control. Establishing clear ethical standards and limitations is essential to ensure that surveillance supports public safety without compromising individual rights. 

In light of these ethical challenges, developing a responsible framework for real-time surveillance is essential.

Balancing Ethics and Efficacy in Real-Time Surveillance: Key Policy Implications

Despite these ethical challenges, a reliable misinformation surveillance system is essential. Key considerations for creating ethical, real-time surveillance may include:

• Misinformation-detection algorithms should be designed with transparency and accountability in mind. Third-party audits and explainable AI can help ensure fairness, avoid biases, and foster trust in monitoring systems.
• Establishing clear, consistent definitions of misinformation is crucial for fair enforcement. These guidelines should carefully differentiate harmful misinformation from protected free speech to respect users’ rights.
• Only collecting necessary data and adopting a consent-based approach which protects user privacy and enhances transparency and trust. It further protects them from stifling dissent and profiling for targeted ads.
• An independent oversight body that can monitor surveillance activities while ensuring accountability and preventing misuse or overreach can be created. These measures, such as the ability to appeal to wrongful content flagging, can increase user confidence in the system.

Conclusion: Striking a Balance

Real-time misinformation surveillance has shown its usefulness in counteracting the rapid spread of false information online. But, it brings complex ethical challenges that cannot be overlooked such as balancing the need for public safety with the preservation of privacy and free expression is essential to maintaining a democratic digital landscape. The references from the EU’s Digital Services Act and Singapore’s POFMA underscore that, while regulation can enhance accountability and transparency, it also risks overreach if not carefully structured. Moving forward, a framework for misinformation monitoring must prioritise transparency, accountability, and user rights, ensuring that algorithms are fair, oversight is independent, and user data is protected. By embedding these safeguards, we can create a system that addresses the threat of misinformation and upholds the foundational values of an open, responsible, and ethical online ecosystem. Balancing ethics and privacy and policy-driven AI Solutions for Real-Time Misinformation Monitoring are the need of the hour.

References

• https://www.pewresearch.org/journalism/fact-sheet/social-media-and-news-fact-sheet/ 
• https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=OJ:C:2018:233:FULL 

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