#FactCheck: Viral image shows the Maldives mocking India with a "SURRENDER" sign on photo of Prime Minister Narendra Modi

Introduction 

AI has revolutionized the way we look at growing technologies. AI is capable of performing complex tasks in fasten time. However, AI’s potential misuse led to increasing cyber crimes. As there is a rapid expansion of generative AI tools, it has also led to growing cyber scams such as Deepfake, voice cloning, cyberattacks targeting Critical Infrastructure and other organizations, and threats to data protection and privacy. AI is empowered by giving the realistic output of AI-created videos, images, and voices, which cyber attackers misuse to commit cyber crimes. 

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It is notable that the rapid advancement of technologies such as generative AI(Artificial Intelligence), deepfake, machine learning, etc. Such technologies offer convenience in performing several tasks and are capable of assisting individuals and business entities. On the other hand, since these technologies are easily accessible, cyber-criminals leverage AI tools and technologies for malicious activities or for committing various cyber frauds. By such misuse of advanced technologies such as AI, deepfake, and voice clones. Such new cyber threats have emerged. 

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What is Deepfake?

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 is also a part of deepfake. 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. 

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How Deepfake Can Harm Organizations or Enterprises?

• Reputation: Deepfakes have a negative impact on the reputation of the organization. It’s a reputation which is at stake. Fake representations or interactions between an employee and user, for example,  misrepresenting  CEO online, could damage an enterprise’s credibility, resulting in user and other financial losses. To be protective against such incidents of deepfake, organisations must thoroughly monitor online mentions and keep tabs on what is being said or posted about the brand. Deepfake-created content can also be misused to Impersonate leaders, financial officers and officials of the organisation.
• Misinformation: Deepfake can be used to spread misrepresentation or misinformation about the organisation by utilising the deepfake technology in the wrong way. 
• Deepfake Fraud calls misrepresenting the organisation: There have been incidents where bad actors pretend to be from legitimate organisations and seek personal information. Such as helpline fraudsters, fake representatives from hotel booking departments, fake loan providers, etc., where bad actors use voice clones or deepfake-oriented fake video calls in order to propose themselves as belonging to legitimate organisations and, in actuality, they are deceiving people.

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How can organizations combat AI-driven cybercrimes such as deepfake? 

• Cybersecurity strategy: Organisations need to keep in place a wide range of cybersecurity strategies or use advanced tools to combat the evolving disinformation and misrepresentation caused by deepfake technology.  Cybersecurity tools can be utilised to detect deepfakes. 
• Social media monitoring: Social media monitoring can be done to detect any unusual activity. Organisations can select or use relevant tools and implement technologies to detect deepfakes and demonstrate media provenance. Real-time verification capabilities and procedures can be used. Reverse image searches, like TinEye, Google Image Search, and Bing Visual Search, can be extremely useful if the media is a composition of images.
• Employee Training: Employee education on cybersecurity will also play a significant role in strengthening the overall cybersecurity posture of the organisation.

Conclusion

There have been incidents where AI-driven tools or technology have been misused by cybercriminals or bad actors.  Synthetic videos developed by AI are used by bad actors. Generative AI has gained significant popularity for many capabilities that produce synthetic media. There are concerns about synthetic media, such as its misuse of disinformation operations designed to influence the public and spread false information. In particular, synthetic media threats that organisations most often face include undermining the brand, financial gain, threat to the security or integrity of the organisation itself and Impersonation of the brand’s leaders for financial gain.

Synthetic media attempts to target organisations intending to defraud the organisation for financial gain. Example includes fake personal profiles on social networking sites and deceptive deepfake calls, etc. The organisation needs to have the proper cyber security strategy in place to combat such evolving threats. Monitoring and detection should be performed by the organisations and employee training on empowering on cyber security will also play a crucial role to effectively deal with evolving threats posed by the misuse of AI-driven technologies. 

References:

• https://media.defense.gov/2023/Sep/12/2003298925/-1/-1/0/CSI-DEEPFAKE-THREATS.PDF
• https://www.securitymagazine.com/articles/98419-how-to-mitigate-the-threat-of-deepfakes-to-enterprise-organizations

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Executive Summary:

A viral picture on social media showing UK police officers bowing to a group of social media leads to debates and discussions. The investigation by CyberPeace Research team found that the image is AI generated. The viral claim is false and misleading.

Claims:

A viral image on social media depicting that UK police officers bowing to a group of Muslim people on the street.

Fact Check:

The reverse image search was conducted on the viral image. It did not lead to any credible news resource or original posts that acknowledged the authenticity of the image. In the image analysis, we have found the number of anomalies that are usually found in AI generated images such as the uniform and facial expressions of the police officers image. The other anomalies such as the shadows and reflections on the officers' uniforms did not match the lighting of the scene and the facial features of the individuals in the image appeared unnaturally smooth and lacked the detail expected in real photographs.

We then analysed the image using an AI detection tool named True Media. The tools indicated that the image was highly likely to have been generated by AI.

We also checked official UK police channels and news outlets for any records or reports of such an event. No credible sources reported or documented any instance of UK police officers bowing to a group of Muslims, further confirming that the image is not based on a real event.

Conclusion:

The viral image of UK police officers bowing to a group of Muslims is AI-generated. CyberPeace Research Team confirms that the picture was artificially created, and the viral claim is misleading and false.

• Claim: UK police officers were photographed bowing to a group of Muslims.
• Claimed on: X, Website
• Fact Check: Fake & Misleading

Executive Summary:

Internship scams have infiltrated the academic landscape, scamming students of many prestigious colleges. The students often prefer to carry out internships to gain knowledge and work experience. These scams use the name of popular multinational companies to exploit the students. This report studies the various case studies, their modus operandi, impact on the students and preventive strategies. This report emphasises the importance of awareness and proactive measures to protect students from falling victim to such frauds.

1. Introduction

Internships are the opportunity to overcome the gap between the practical knowledge acquired at the university and practical experience, to get practical skills and contacts in the field of activity, as well as improve employment prospects. Instead, because of high paying internships and interesting positions students have become targets of work scams. As we have seen with the advancement in digital technology, scammers take advantage of the disguise of the internet, making very neat, smart, and convincing scams. 

 Internship scams are very prevalent and they include fake job listings and phishing schemes as well as payment frauds which make students lose lots of money and also emotionally expose them. In this specific case, this paper examines how these scams work, the warning signs, and ways of protecting students from falling victim to them.

2. Detailed Modus Operandi of Internship Scams

Internship scams often employ  a variety of tactics to attract and deceive unsuspecting students. Below is a detailed breakdown of the common methods used by scammers:

1. Fake Job Listings and Offers:some text
   • Scammers post attractive internship offers on popular job portals, social media platforms, and even send personalised messages via LinkedIn. These listings often mimic the branding and style of reputable companies, including well-designed logos, professional email addresses, and official-looking websites.
   • Example: A fake internship offer from a reputed software firm circulates on a job portal, with a professional landing page. Students who apply are quickly “hired” without any interviews, and are asked to pay a security deposit to confirm their acceptance.
2. Upfront Payment Requests:some text
   • Scammers ask for payment such as registration fees, training materials, background checks, or security deposits. These payments comes under non-refundable payment  and it act as the primary revenue stream for the fraudsters.
   • Example: A group of students receive internship offers requiring a payment of INR 10,000 for "training materials" and "online assessments." After making the payment, the students never hear back from the company, and all attempts to contact them were futile.
3. Phishing and Identity Theft:some text
   • Beyond financial fraud, some scams aim to steal personal information. Fake internship applications often require detailed personal data, including identity proofs, bank account details. This data will be used as identity theft or sold on the dark web.
   • Example: A student applies for an internship that asks for copies of identification documents and bank details. This information sharing led to unauthorised transactions in their bank account. 
4. Work-from-Home Frauds:some text
   • With the rise of remote work, scammers also offer work-from-home internships that require students to purchase software or pay for specialised training. After payment, students are often given irrelevant tasks or no tasks at all, leaving them with no real work experience.
   • Example: An internship advertised as a "remote data analysis role" required students to buy a proprietary software licence. After paying, students realised the software was freely available online, and the internship tasks were non-existent.
5. Impersonation of Reputed Companies:some text
   • Scammers use the name of well-known companies, they modify the email addresses or create fake websites that look original. They use these platforms to send offer letters, making it difficult for students to identify the scam.
   • Example: A scammer creates a fake website mirroring a major consulting firm's internship page. The only difference is a minor change in the URL. Dozens of students are duped into paying registration fees.

3. Case Studies of Real-Life Incidents

1. Case Study 1: The Certification Course and Internshipsome text
   • A group of students received personalised emails from an official domain of a reputed tech industry providing an internship offer. Students were asked to pay Rs 10,000 to undergo a certification course to carry the internship. After paying the amount, the students did not receive any instructions, and the company was found to be nonexistent. The scammer had spoofed the company’s email domain, making it difficult to trace the source.
2. Case Study 2: The Social Media Trapsome text
   • A student from a university encountered an internship post on Instagram, advertising roles at a popular fashion brand. The application process involved a "screening fee" of INR 5,000. Despite appearing legitimate, the internship was fake, and the brand had no knowledge of the post. The student's personal data was also compromised, leading to unauthorised social media activity.
3. Case Study 3: Internship Providing Social Platformssome text
   • A popular internship providing platform, faced an incident where a scammer posted fraudulent internship offers under the guise of a major multinational. The scam involved asking students to purchase expensive software to start their work. The platform had to issue warnings and remove the listings after several complaints.

4. The Impact on Students

The consequences of internship scams extend beyond immediate financial loss, affecting students on multiple levels:

1. Financial Impact:some text
   • Students lose their money, ranging from minor fees to significant payments.
2. Emotional and Psychological Distress:some text
   • These kinds of scams can lead to anxiety, depression and loss of confidence in availing the opportunities in future. 
3. Exposure to Further Scams:some text
   • Scammers often share details of their victims with other fraudsters, making students susceptible to repeated scams, including phishing attacks, financial frauds, and unsolicited offers.

5. Preventive Measures

1. Verification of Internships:some text
   • Always verify the authenticity of the internship by researching the company on official platforms such as LinkedIn, the company’s official website, and through trusted contacts or college placement cells.
2. Avoid Upfront Payments:some text
   • Employers do not ask for money in exchange for job or internship offers. If they demand for any kind of payment, then the employer is not original. Always question the necessity of such payments and consult trusted advisors before proceeding.
3. Use Trusted Job Portals:some text
   • Apply for internships through recognized platforms like LinkedIn, Internshala, or your college’s placement cell, which have verification processes to filter out fraudulent postings.
4. Reporting Scams:some text
   • Report suspicious offers to your college authorities, placement cells, and local cybercrime departments. Additionally, use platforms like Internshala’s “Report This Job” feature to flag fraudulent listings.
5. Stay Educated and Updated:some text
   • It is important to educate students by providing workshops, webinars, and awareness sessions on cybersecurity to stay informed and report about the latest scams. 

6. Conclusion

Internship scams are a severe threat to the student society since they manipulate the student’s desire for an internship. The best ways to prevent such cons are by being cautious and receptive to whatever is being offered. Internship seekers, colleges and the placement cells have to work hand in hand to ensure that there is no fear among  people seeking internships.

References

1. Smith, J. (2024). Internship Scams on the Rise: How to Spot and Avoid Them. Retrieved from example1.com.
2. Brown, A. (2023). Student Internship Scams in India: A Growing Concern. Retrieved from example2.com.
3. Johnson, L. (2024). How to Protect Yourself from Fake Internship Offers. Retrieved from example3.com.
4. Gupta, R. (2024). Social Media and the Rise of Job Scams. Retrieved from example4.com.

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