#FactCheck - Viral Image of AIMIM President Asaduddin Owaisi Holding Lord Rama Portrait Proven Fake

Executive Summary:

A viral online video claims of an attack on Prime Minister Benjamin Netanyahu in the Israeli Senate. However, the CyberPeace Research Team has confirmed that the video is fake, created using video editing tools to manipulate the true essence of the original footage by merging two very different videos as one and making false claims. The original footage has no connection to an attack on Mr. Netanyahu. The claim that endorses the same is therefore false and misleading.

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Claims:

A viral video claims an attack on Prime Minister Benjamin Netanyahu in the Israeli Senate.

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Fact Check:

Upon receiving the viral posts, we conducted a Reverse Image search on the keyframes of the video. The search led us to various legitimate sources featuring an attack on an ethnic Turkish leader of Bulgaria but not on the Prime Minister Benjamin Netanyahu, none of which included any attacks on him. 

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We used AI detection tools, such as TrueMedia.org, to analyze the video. The analysis confirmed with 68.0% confidence that the video was an editing. The tools identified "substantial evidence of manipulation," particularly in the change of graphics quality of the footage and the breakage of the flow in footage with the change in overall background environment.

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Additionally, an extensive review of official statements from the Knesset revealed no mention of any such incident taking place. No credible reports were found linking the Israeli PM to the same, further confirming the video’s inauthenticity.

Conclusion:

The viral video claiming of an attack on Prime Minister Netanyahu is an old video that has been edited. The research using various AI detection tools confirms that the video is manipulated using edited footage. Additionally, there is no information in any official sources. Thus, the CyberPeace Research Team confirms that the video was manipulated using video editing technology, making the claim false and misleading.

• Claim: Attack on the Prime Minister Netanyahu Israeli Senate
• Claimed on: Facebook, Instagram and X(Formerly Twitter)
• Fact Check: False & Misleading

Executive Summary:

A photo that has gone viral on social media alleges that the Indian company Patanjali founded by Yoga Guru Baba Ramdev is selling a product called “Recipe Mix for Beef Biryani”. The image incorporates Ramdev’s name in its promotional package. However, upon looking into the matter, CyberPeace Research Team revealed that the viral image is not genuine. The original image was altered and it has been wrongly claimed which does not even exist. Patanjali is an Indian brand designed for vegetarians and an intervention of Ayurveda. For that reason, the image in context is fake and misleading.

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Claims:

An image circulating on social media shows Patanjali selling "Recipe Mix for Beef Biryani”.

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Fact Check:

Upon receiving the viral image, the CyberPeace Research Team immediately conducted an in-depth investigation. A reverse image search revealed that the viral image was taken from an unrelated context and digitally altered to be associated with the fabricated packaging of "National Recipe Mix for Biryani". 

The analysis of the image confirmed signs of manipulation. Patanjali, a well-established Indian brand known for its vegetarian products, has no record of producing or promoting a product called “Recipe mix for Beef Biryani”. We also found a similar image with the product specified as “National Biryani” in another online store.

Comparing both photos, we found that there are several differences.

Further examination of Patanjali's product catalog and public information verified that this viral image is part of a deliberate attempt to spread misinformation, likely to damage the reputation of the brand and its founder. The entire claim is based on a falsified image aimed at provoking controversy, and therefore, is categorically false.

Conclusions:

The viral image associating Patanjali and Baba Ramdev with "Recipe mix for Beef Biryani" is entirely fake. This image was deliberately manipulated to spread false information and damage the brand’s reputation. Social media users are encouraged to fact-check before sharing any such claims, as the spread of misinformation can have significant consequences. The CyberPeace Research Team emphasizes the importance of verifying information before circulating it to avoid spreading false narratives.

• Claim: Patanjali and Baba Ramdev endorse "Recipe mix for Beef Biryani"
• Claimed on: X
• Fact Check: Fake & Misleading

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Introduction
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Generative AI, particularly deepfake technology, poses significant risks to security in the financial sector. Deepfake technology can convincingly mimic voices, create lip-sync videos, execute face swaps, and carry out other types of impersonation through tools like DALL-E, Midjourney, Respeecher, Murf, etc, which are now widely accessible and have been misused for fraud. For example, in 2024, cybercriminals in Hong Kong used deepfake technology to impersonate the Chief Financial Officer of a company, defrauding it of $25 million. Surveys, including Regula’s Deepfake Trends 2024 and Sumsub reports, highlight financial services as the most targeted sector for deepfake-induced fraud.

Deepfake Technology and Its Risks to Financial Systems

India’s financial ecosystem, including banks, NBFCs, and fintech companies, is leveraging technology to enhance access to credit for households and MSMEs. The country is a leader in global real-time payments and its digital economy comprises 10% of its GDP.  However, it faces unique cybersecurity challenges. According to the RBI’s 2023-24 Currency and Finance report, banks cite cybersecurity threats, legacy systems, and low customer digital literacy as major hurdles in digital adoption. Deepfake technology intensifies risks like:

• Social Engineering Attacks: Information security breaches through phishing, vishing, etc. become more convincing with deepfake imagery and audio.
• Bypassing Authentication Protocols: Deepfake audio or images may circumvent voice and image-based authentication systems, exposing sensitive data.
• Market Manipulation: Misleading deepfake content making false claims and endorsements can harm investor trust and damage stock market performance.
• Business Email Compromise Scams: Deepfake audio can mimic the voice of a real person with authority in the organization to falsely authorize payments.
• Evolving Deception Techniques: The usage of AI will allow cybercriminals to deploy malware that can adapt in real-time to carry out phishing attacks and inundate targets with increased speed and variations. Legacy security frameworks are not suited to countering automated attacks at such a scale.

Existing Frameworks and Gaps

In 2016, the RBI introduced cybersecurity guidelines for banks, neo-banking, lending, and non-banking financial institutions, focusing on resilience measures like Board-level policies, baseline security standards, data leak prevention, running penetration tests, and mandating Cybersecurity Operations Centres (C-SOCs). It also mandated incident reporting to the RBI for cyber events. Similarly, SEBI’s Cybersecurity and Cyber Resilience Framework (CSCRF) applies to regulated entities (REs) like stock brokers, mutual funds, KYC agencies, etc., requiring policies, risk management frameworks, and third-party assessments of cyber resilience measures. While both frameworks are comprehensive, they require updates addressing emerging threats from generative AI-driven cyber fraud.

Cyberpeace Recommendations 

• AI Cybersecurity to Counter AI Cybercrime: AI-generated attacks can be designed to overwhelm with their speed and scale. Cybercriminals increasingly exploit platforms like LinkedIn, Microsoft Teams, and Messenger, to target people.  More and more organizations of all sizes will have to use AI-based cybersecurity for detection and response since generative AI is becoming increasingly essential in combating hackers and breaches.
• Enhancing Multi-factor Authentication (MFA):  With improving image and voice-generation/manipulation technologies, enhanced authentication measures such as token-based authentication or other hardware-based measures, abnormal behaviour detection, multi-device push notifications, geolocation verifications, etc. can be used to improve prevention strategies.  New targeted technological solutions for content-driven authentication can also be implemented.
• Addressing Third-Party Vulnerabilities: Financial institutions often outsource operations to vendors that may not follow the same cybersecurity protocols, which can introduce vulnerabilities. Ensuring all parties follow standardized protocols can address these gaps.
• Protecting Senior Professionals: Senior-level and high-profile individuals at organizations are at a greater risk of being imitated or impersonated since they hold higher authority over decision-making and have greater access  to sensitive information. Protecting their identity metrics through technological interventions is of utmost importance.
• Advanced Employee Training:  To build organizational resilience, employees must be trained to understand how generative and emerging technologies work. A well-trained workforce can significantly lower the likelihood of successful human-focused human-focused cyberattacks like phishing and impersonation.
• Financial Support to Smaller Institutions: Smaller institutions may not have the resources to invest in robust long-term cybersecurity solutions and upgrades. They require financial and technological support from the government to meet requisite standards.

Conclusion

According to The India Cyber Threat Report 2025 by the Data Security Council of India (DSCI) and Seqrite, deepfake-enabled cyberattacks, especially in the finance and healthcare sectors, are set to increase in 2025. This has the potential to disrupt services, steal sensitive data, and exploit geopolitical tensions, presenting a significant risk to the critical infrastructure of India. 

As the threat landscape changes,  institutions will have to continue to embrace AI and Machine Learning (ML) for threat detection and response. The financial sector must prioritize robust cybersecurity strategies, participate in regulation-framing procedures, adopt AI-based solutions, and enhance workforce training, to safeguard against AI-enabled fraud. Collaborative efforts among policymakers, financial institutions, and technology providers will be essential to strengthen defenses.

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Sources 

• https://sumsub.com/newsroom/deepfake-cases-surge-in-countries-holding-2024-elections-sumsub-research-shows/ 
• https://www.globenewswire.com/news-release/2024/10/31/2972565/0/en/Deepfake-Fraud-Costs-the-Financial-Sector-an-Average-of-600-000-for-Each-Company-Regula-s-Survey-Shows.html 
• https://www.sipa.columbia.edu/sites/default/files/2023-05/For%20Publication_BOfA_PollardCartier.pdf 
• https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html 
• https://www.rbi.org.in/Commonman/English/scripts/Notification.aspx?Id=1721 
• https://elplaw.in/leadership/cybersecurity-and-cyber-resilience-framework-for-sebi-regulated-entities/ 
• https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-driven-deepfake-enabled-cyberattacks-to-rise-in-2025-healthcarefinance-sectors-at-risk-report/articleshow/115976846.cms?from=mdr 

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