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Overview:

The rapid digitization of educational institutions in India has created both opportunities and challenges. While technology has improved access to education and administrative efficiency, it has also exposed institutions to significant cyber threats. This report, published by CyberPeace, examines the types, causes, impacts, and preventive measures related to cyber risks in Indian educational institutions. It highlights global best practices, national strategies, and actionable recommendations to mitigate these threats.

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Significance of the Study:

The pandemic-induced shift to online learning, combined with limited cybersecurity budgets, has made educational institutions prime targets for cyberattacks. These threats compromise sensitive student, faculty, and institutional data, leading to operational disruptions, financial losses, and reputational damage. Globally, educational institutions face similar challenges, emphasizing the need for universal and localized responses.

Threat Faced by Education Institutions:

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Based on the insights from the CyberPeace’s report titled 'Exploring Cyber Threats and Digital Risks in Indian Educational Institutions', this concise blog provides a comprehensive overview of cybersecurity threats and risks faced by educational institutions, along with essential details to address these challenges.

🎣 Phishing: Phishing is a social engineering tactic where cyber criminals impersonate trusted sources to steal sensitive information, such as login credentials and financial details. It often involves deceptive emails or messages that lead to counterfeit websites, pressuring victims to provide information quickly. Variants include spear phishing, smishing, and vishing.

💰 Ransomware: Ransomware is malware that locks users out of their systems or data until a ransom is paid. It spreads through phishing emails, malvertising, and exploiting vulnerabilities, causing downtime, data leaks, and theft. Ransom demands can range from hundreds to hundreds of thousands of dollars.

🌐 Distributed Denial of Service (DDoS): DDoS attacks overwhelm servers, denying users access to websites and disrupting daily operations, which can hinder students and teachers from accessing learning resources or submitting assignments. These attacks are relatively easy to execute, especially against poorly protected networks, and can be carried out by amateur cybercriminals, including students or staff, seeking to cause disruptions for various reasons

🕵️ Cyber Espionage: Higher education institutions, particularly research-focused universities, are vulnerable to spyware, insider threats, and cyber espionage. Spyware is unauthorized software that collects sensitive information or damages devices. Insider threats arise from negligent or malicious individuals, such as staff or vendors, who misuse their access to steal intellectual property or cause data leaks..

🔒 Data Theft: Data theft is a major threat to educational institutions, which store valuable personal and research information. Cybercriminals may sell this data or use it for extortion, while stealing university research can provide unfair competitive advantages. These attacks can go undetected for long periods, as seen in the University of California, Berkeley breach, where hackers allegedly stole 160,000 medical records over several months.

🛠️ SQL Injection: SQL injection (SQLI) is an attack that uses malicious code to manipulate backend databases, granting unauthorized access to sensitive information like customer details. Successful SQLI attacks can result in data deletion, unauthorized viewing of user lists, or administrative access to the database.

🔍Eavesdropping attack: An eavesdropping breach, or sniffing, is a network attack where cybercriminals steal information from unsecured transmissions between devices. These attacks are hard to detect since they don't cause abnormal data activity. Attackers often use network monitors, like sniffers, to intercept data during transmission.

🤖 AI-Powered Attacks: AI enhances cyber attacks like identity theft, password cracking, and denial-of-service attacks, making them more powerful, efficient, and automated. It can be used to inflict harm, steal information, cause emotional distress, disrupt organizations, and even threaten national security by shutting down services or cutting power to entire regions

Insights from Project eKawach

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The CyberPeace Research Wing, in collaboration with SAKEC CyberPeace Center of Excellence (CCoE) and Autobot Infosec Private Limited, conducted a study simulating educational institutions' networks to gather intelligence on cyber threats. As part of the e-Kawach project, a nationwide initiative to strengthen cybersecurity, threat intelligence sensors were deployed to monitor internet traffic and analyze real-time cyber attacks from July 2023 to April 2024, revealing critical insights into the evolving cyber threat landscape.

Cyber Attack  Trends

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Between July 2023 and April 2024, the e-Kawach network recorded 217,886 cyberattacks from IP addresses worldwide, with a significant portion originating from countries including the United States, China, Germany, South Korea, Brazil, Netherlands, Russia, France, Vietnam, India, Singapore, and Hong Kong. However, attributing these attacks to specific nations or actors is complex, as threat actors often use techniques like exploiting resources from other countries, or employing VPNs and proxies to obscure their true locations, making it difficult to pinpoint the real origin of the attacks.

Brute Force Attack:

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The analysis uncovered an extensive use of automated tools in brute force attacks, with 8,337 unique usernames and 54,784 unique passwords identified. Among these, the most frequently targeted username was “root,” which accounted for over 200,000 attempts. Other commonly targeted usernames included: "admin", "test", "user", "oracle", "ubuntu", "guest", "ftpuser", "pi", "support"

Similarly, the study identified several weak passwords commonly targeted by attackers. “123456” was attempted over 3,500 times, followed by “password” with over 2,500 attempts. Other frequently targeted passwords included: "1234", "12345", "12345678", "admin", "123", "root", "test", "raspberry", "admin123", "123456789"

Insights from Threat Landscape Analysis

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Research done by the USI - CyberPeace Centre of Excellence (CCoE) and Resecurity has uncovered several breached databases belonging to public, private, and government universities in India, highlighting significant cybersecurity threats in the education sector. The research aims to identify and mitigate cybersecurity risks without harming individuals or assigning blame, based on data available at the time, which may evolve with new information. Institutions were assigned risk ratings that descend from A to F, with most falling under a D rating, indicating numerous security vulnerabilities. Institutions rated D or F are 5.4 times more likely to experience data breaches compared to those rated A or B. Immediate action is recommended to address the identified risks.

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Risk Findings :

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The risk findings for the institutions are summarized through a pie chart, highlighting factors such as data breaches, dark web activity, botnet activity, and phishing/domain squatting. Data breaches and botnet activity are significantly higher compared to dark web leakages and phishing/domain squatting. The findings show 393,518 instances of data breaches, 339,442 instances of botnet activity, 7,926 instances related to the dark web and phishing & domain activity - 6711.

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Key Indicators:  Multiple instances of data breaches containing credentials (email/passwords) in plain text.

• Botnet activity indicating network hosts compromised by malware.

• Credentials from third-party government and non-governmental websites linked to official institutional emails

• Details of software applications, drivers installed on compromised hosts.

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• Sensitive cookie data exfiltrated from various browsers.

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• IP addresses of compromised systems.
• Login credentials for different Android applications.

Below is the sample detail of one of the top educational institutions that provides the insights about the higher rate of data breaches, botnet activity, dark web activities and phishing & domain squatting. 

Risk Detection: 

It indicates the number of data breaches, network hygiene, dark web activities, botnet activities, cloud security, phishing & domain squatting, media monitoring and miscellaneous risks. In the below example, we are able to see the highest number of data breaches and botnet activities in the sample particular domain.

Risk Changes:

Risk by Categories:

Risk is categorized with factors such as high, medium and low, the risk is at high level for data breaches and botnet activities.

Challenges Faced by Educational Institutions

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Educational institutions face cyberattack risks, the challenges leading to cyberattack incidents in educational institutions are as follows:

🔒 Lack of a Security Framework: A key challenge in cybersecurity for educational institutions is the lack of a dedicated framework for higher education. Existing frameworks like ISO 27001, NIST, COBIT, and ITIL are designed for commercial organizations and are often difficult and costly to implement. Consequently, many educational institutions in India do not have a clearly defined cybersecurity framework.

🔑 Diverse User Accounts: Educational institutions manage numerous accounts for staff, students, alumni, and third-party contractors, with high user turnover. The continuous influx of new users makes maintaining account security a challenge, requiring effective systems and comprehensive security training for all users.

📚 Limited Awareness: Cybersecurity awareness among students, parents, teachers, and staff in educational institutions is limited due to the recent and rapid integration of technology. The surge in tech use, accelerated by the pandemic, has outpaced stakeholders' ability to address cybersecurity issues, leaving them unprepared to manage or train others on these challenges.

📱 Increased Use of Personal/Shared Devices: The growing reliance on unvetted personal/Shared devices for academic and administrative activities amplifies security risks.

💬 Lack of Incident Reporting: Educational institutions often neglect reporting cyber incidents, increasing vulnerability to future attacks. It is essential to report all cases, from minor to severe, to strengthen cybersecurity and institutional resilience.

Impact of Cybersecurity Attacks on Educational Institutions

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Cybersecurity attacks on educational institutions lead to learning disruptions, financial losses, and data breaches. They also harm the institution's reputation and pose security risks to students. The following are the impacts of cybersecurity attacks on educational institutions:

📚Impact on the Learning Process: A report by the US Government Accountability Office (GAO) found that cyberattacks on school districts resulted in learning losses ranging from three days to three weeks, with recovery times taking between two to nine months.

💸Financial Loss: US schools reported financial losses ranging from $50,000 to $1 million due to expenses like hardware replacement and cybersecurity upgrades, with recovery taking an average of 2 to 9 months.

🔒Data Security Breaches: Cyberattacks exposed sensitive data, including grades, social security numbers, and bullying reports. Accidental breaches were often caused by staff, accounting for 21 out of 25 cases, while intentional breaches by students, comprising 27 out of 52 cases, frequently involved tampering with grades.

⚠️Data Security Breach: Cyberattacks on schools result in breaches of personal information, including grades and social security numbers, causing emotional, physical, and financial harm. These breaches can be intentional or accidental, with a US study showing staff responsible for most accidental breaches (21 out of 25) and students primarily behind intentional breaches (27 out of 52) to change grades.

🏫Impact on Institutional Reputation: Cyberattacks damaged the reputation of educational institutions, eroding trust among students, staff, and families. Negative media coverage and scrutiny impacted staff retention, student admissions, and overall credibility.

🛡️ Impact on Student Safety: ‍‍Cyberattacks compromised student safety and privacy. For example, breaches like live-streaming school CCTV footage caused severe distress, negatively impacting students' sense of security and mental well-being.

CyberPeace Advisory:

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CyberPeace emphasizes the importance of vigilance and proactive measures to address cybersecurity risks:

1. Develop effective incident response plans: Establish a clear and structured plan to quickly identify, respond to, and recover from cyber threats. Ensure that staff are well-trained and know their roles during an attack to minimize disruption and prevent further damage.
   
   
2. Implement access controls with role-based permissions: Restrict access to sensitive information based on individual roles within the institution. This ensures that only authorized personnel can access certain data, reducing the risk of unauthorized access or data breaches.
   
   
3. Regularly update software and conduct cybersecurity training: Keep all software and systems up-to-date with the latest security patches to close vulnerabilities. Provide ongoing cybersecurity awareness training for students and staff to equip them with the knowledge to prevent attacks, such as phishing.
   
   
4. Ensure regular and secure backups of critical data: Perform regular backups of essential data and store them securely in case of cyber incidents like ransomware. This ensures that, if data is compromised, it can be restored quickly, minimizing downtime.
   
   
5. Adopt multi-factor authentication (MFA): Enforce Multi-Factor Authentication(MFA) for accessing sensitive systems or information to strengthen security. MFA adds an extra layer of protection by requiring users to verify their identity through more than one method, such as a password and a one-time code.
   
   
6. Deploy anti-malware tools: Use advanced anti-malware software to detect, block, and remove malicious programs. This helps protect institutional systems from viruses, ransomware, and other forms of malware that can compromise data security.
   
   
7. Monitor networks using intrusion detection systems (IDS): Implement IDS to monitor network traffic and detect suspicious activity. By identifying threats in real time, institutions can respond quickly to prevent breaches and minimize potential damage.
   
   
8. Conduct penetration testing: Regularly conduct penetration testing to simulate cyberattacks and assess the security of institutional networks. This proactive approach helps identify vulnerabilities before they can be exploited by actual attackers.
   
   
9. Collaborate with cybersecurity firms: Partner with cybersecurity experts to benefit from specialized knowledge and advanced security solutions. Collaboration provides access to the latest technologies, threat intelligence, and best practices to enhance the institution's overall cybersecurity posture.
   
   
10. Share best practices across institutions: Create forums for collaboration among educational institutions to exchange knowledge and strategies for cybersecurity. Sharing successful practices helps build a collective defense against common threats and improves security across the education sector.

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Conclusion: 

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The increasing cyber threats to Indian educational institutions demand immediate attention and action. With vulnerabilities like data breaches, botnet activities, and outdated infrastructure, institutions must prioritize effective cybersecurity measures. By adopting proactive strategies such as regular software updates, multi-factor authentication, and incident response plans, educational institutions can mitigate risks and safeguard sensitive data. Collaborative efforts, awareness, and investment in cybersecurity will be essential to creating a secure digital environment for academia.

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Introduction

Phone farms refer to setups or systems using multiple phones collectively. Phone farms are often for deceptive purposes, to create repeated actions in high numbers quickly, or to achieve goals. These can include faking popularity through increasing views, likes, and comments and growing the number of followers. It can also include creating the illusion of legitimate activity through actions like automatic app downloads, ad views, clicks, registrations, installations and in-app engagement. 

A phone farm is a network where cybercriminals exploit mobile incentive programs by using multiple phones to perform the same actions repeatedly. This can lead to misattributions and increased marketing spends. Phone farming involves exploiting paid-to-watch apps or other incentive-based programs over dozens of phones to increase the total amount earned. It can also be applied to operations that orchestrate dozens or hundreds of phones to create a certain outcome, such as improving restaurant ratings or App Store Optimization(ASO). Companies constantly update their platforms to combat phone farming, but it is nearly impossible to prevent people from exploiting such services for their own benefit.

How Do Phone Farms Work?

Phone farms are a collection of connected smartphones or mobile devices used for automated tasks, often remotely controlled by software programs. These devices are often used for advertising, monetization, and artificially inflating app ratings or social media engagement. The software used in phone farms is typically a bot or script that interacts with the operating system and installed apps. The phone farm operator connects the devices to the Internet via wired or wireless networks, VPNs, or other remote access software. Once the software is installed, the operator can use a web-based interface or command-line tool to schedule and monitor tasks, setting specific schedules or monitoring device status for proper operation.

Modus Operandi Behind Phone Farms 

Phone farms have gained popularity due to the growing popularity and scope of the Internet and the presence of bots. Phone farmers use multiple phones simultaneously to perform illegitimate activity and mimic high numbers. The applications can range from ‘watching’ movie trailers and clicking on ads to giving fake ratings and creating false engagements. When phone farms drive up ‘engagement actions’ on social media through numerous likes and post shares, they help perpetuate a false narrative. Through phone click farms, bad actors also earn on each ad or video watched. Phone farmers claim to use this as a side hustle, as a means of making more money. Click farms can be modeled as companies providing digital engagement services or as individual corporations to multiply clicks for various objectives. They are operated on a much larger scale, with thousands of employees and billions of daily clicks, impressions, and engagements.

The Legality of Phone Farms 

The question about the legality of phone farms presents a conundrum. It is notable that phone farms are also used for legitimate application in software development and market research, enabling developers to test applications across various devices and operating systems simultaneously. However, they are typically employed for more dubious purposes, such as social media manipulation, generatiing fake clicks on online ads, spamming, spreading misinformation, and facilitating cyberattacks, and such use cases classify as illegal and unethical behaviour.

The use of the technology to misrepresent information for nefarious intents is illegitimate and unethical. Phone farms are famed for violating the terms of the apps they use to make money by simulating clicks, creating multiple fake accounts and other activities through multiple phones, which can be illegal. 

Furthermore, should any entity misrepresent its image/product/services through fake reviews/ratings obtained through bots and phone farms and create deliberately-false impressions for consumers, it is to be considered an unfair trade practice and may attract liabilities. 

CyberPeace Policy Recommendations

CyberPeace advocates for truthful and responsible consumption of technology and the Internet. Businesses are encouraged to refrain from using such unethical methods to gain a business advantage and mimic fake popularity online. Businesses must be mindful to avoid any actions that may misrepresent information and/ or cause injury to consumers, including online users. The ethical implications of phone farms cannot be ignored, as they can erode public trust in digital platforms and contribute to a climate of online deception. Law enforcement agencies and regulators are encouraged to keep a check on any illegal use of mobile devices by cybercriminals to commit cyber crimes. Tech and social media platforms must implement monitoring and detection systems to analyse any unusual behaviour/activity on their platforms, looking for suspicious bot activity or phone farming groups. To stay protected from sophisticated threats and to ensure a secure online experience, netizens are encouraged to follow cybersecurity best practices and verify all information from authentic sources.

Final Words

Phone farms have the ability to generate massive amounts of social media interactions, capable of performing repetitive tasks such as clicking, scrolling, downloading, and more in very high volumes in very short periods of time. The potential for misuse of phone farms is higher than the legitimate uses they can be put to. As technology continues to evolve, the challenge lies in finding a balance between innovation and ethical use, ensuring that technology is harnessed responsibly. 

References

• https://www.branch.io/glossary/phone-farm/
• https://clickpatrol.com/phone-farms/
• https://www.airbridge.io/glossary/phone-farms#:~:text=A%20phone%20farm%20is%20a,monitor%20the%20tasks%20being%20performed
• https://innovation-village.com/phone-farms-exposed-the-sneaky-tech-behind-fake-likes-clicks-and-more/

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Introduction

The global food industry is vast and complex, influencing consumer behaviour, policy, and health outcomes worldwide. However, misinformation within this sector is pervasive, with significant consequences for public health and market dynamics. Misinformation can arise from various sources, including misleading marketing campaigns, unsubstantiated health claims, and misrepresentation of food production practices through public endorsement or otherwise. Nutrition misinformation is one such example. The promotion of false or unproven products for profit can lead to mislead consumers and affect their interests. Misleading claims and inaccurate information about the nutritional value of food products and processes are common claims. The misinformation created about food on the global stage distorts public understanding of nutrition, food safety, and environmental impacts, leading to significant consequences for public health, consumer trust, and the economy.

Rise of Nutritional Misinformation and Consumer Distrust

Health and nutrition-related misinformation is one of the most prevalent types in the food sector. Businesses frequently advertise their products as "natural" or "healthy" without providing sufficient data to back up these claims, tricking customers into buying goods that might be heavy in fat, sugar, or salt. Words like "superfood" are frequently used without supporting evidence from science, giving the impression that they are healthier.

Misinformation also impacts the sustainability and ethics of food production. Claims of "sustainable" or "ethical" sourcing are frequently exaggerated or fabricated, leaving consumers unaware of the true environmental and social costs associated with certain products.

This lack of clarity is not only observed in general food trends but also within organisations meant to provide trustworthy information. There has been significant criticism, directed at the International Food Information Council (IFIC), for their alleged promotion of nutrition-based misinformation to safeguard the interests of large food corporations, resulting in potentially compromising public health. The preemptive claims that IFIC made about the nutritive claims have been questioned by the National Institutes of Health, USA in November 2022. They reported in their study that IFIC promotes food and beverage company interests and undermines the accurate dissemination of scientific evidence related to diet and health. This was in support of the objective of the study, which was to determine whether, there have been many claims that the nutritional value of certain foods or diets may be manipulated to favour business goals, leaving consumers misinformed about what constitutes a truly healthy diet.

Another source of misinformation is the growing ‘Free-From’ fad. The “free-from” label in the US is a food category of products that claim to be free from certain ingredients or chemicals. It has been steadily growing by 7% annually. These labels often tout products as healthier due to a simpler ingredient list. Although seemingly harmless, transparency in ingredient disclosure is often obscured in the 'free-from' trend. This can lead to consumer distrust in the long run, making them hesitant.

The Harmful Effects of Food Misinformation

The effects of misinformation about nutrition and food safety can directly affect public health.
Consumers unknowingly may accept false claims or avoid certain foods without scientific basis and adopt harmful dietary habits, potentially leading to malnutrition or other health problems. By the time the realisation sets in about being misled, their trust is eroded not only towards such companies but also towards the regulators. This distrust can lead to declining consumer confidence and disrupt market stability. 

Some food-related misinformation downplays the environmental impact that certain food production practices have. An example of such a situation is the promotion of meat alternatives as being entirely eco-friendly without considering all environmental factors. This can mislead consumers and obscure the complex environmental effects of food production systems. 

Misinformation can distort consumer purchasing habits, potentially leading to a reduced demand for certain products and unfair competition. The sufferers in this case are the small-scale producers who suffer disproportionately, while the large corporations might use this misinformation to maintain their dominance in the market. Regulatory checks, open communication, and public education campaigns are needed to combat mis/disinformation in the global food sector and enable consumers to make decisions that are sustainable, healthful and informed.

CyberPeace Recommendations

• Unfair trade practices like providing misleading information or unchecked claims on food products should be better addressed by the regulators. Companies must provide clear, transparent and accurate information about their products as mandated under the Food Safety and Standards (Advertising and Claims) Regulations, 2018. This information should include the true origins, production methods, and nutritional content on their labels.
• Promotions of initiatives and investments by public health organisations and food authorities towards educating consumers and improving food literacy should encouraged. 
• Regulating social media endorsement is also crucial to prevent the spread of misinformation and unchecked claims. Without proper due diligence on product details, influencers may unknowingly mislead their audience, causing potential harm. 
• The Social Media Platforms can partner with nutritionists, dietitians, and other health professionals who are content creators, as they can help in understanding and promoting accurate, science-based nutrition information and debunk any misleading claims.
• Campaigns should be encouraged to spread public awareness about the harms of food-related misleading claims or trends. Emphasis should be on evidence-based nutritional guidance. The ongoing research towards food safety, nutrition, and true information should be actively communicated to keep the public informed. Combating food misinformation requires more robust regulations, improved transparency, and heightened consumer awareness and vigilance.

References

• https://timesofindia.indiatimes.com/india/label-claims-on-packaged-food-could-be-misleading-icmr/articleshow/110053363.cms 
• https://www.outlookindia.com/hub4business/empowering-change-freedom-food-alliance-takes-on-global-food-industry-misinformation 
• https://insightsnow.com/misinformation-hurting-food-business/ ‍
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9618198/pdf/12992_2022_Article_884.pdf