#FactCheck-AI-Generated Image Falsely Shows Iranian Soldiers Near Downed Helicopter
Executive Summary
Our research confirms that the viral image showing Iranian soldiers standing near a crashed helicopter is AI-generated and has no connection to any real-world event. It is being misleadingly shared online amid geopolitical tensions. Amid rising tensions between Iran, the United States, and Israel, a dramatic image is being widely shared on social media. The picture shows soldiers standing near the wreckage of a crashed helicopter in a desert, holding an Iranian flag. Users claim that Iranian forces shot down the aircraft. Research by CyberPeace Research Wing found that the viral image is fake and was created using AI tools.
Claim
A Facebook page named “Official Salman 09” shared the image on May 1, 2026, portraying it as a powerful symbol of victory in an ongoing conflict. The post suggested that the image reflected Iran’s military success and carried a broader political message amid regional tensions.
- https://www.facebook.com/photo/?fbid=909905332099201&set=a.522993370790401
- https://perma.cc/KCL8-7UDN

Fact Check
To verify the claim, we first conducted a reverse image search using Google Lens. The image did not appear on any credible news platforms, although it was widely circulating across social media—raising suspicion about its authenticity. We then analyzed the image using Google’s SynthID detector, which confirmed with high confidence that the image was generated using Google’s AI tools. SynthID is a technology designed to watermark and identify AI-generated content.

Further verification using AI detection tool Hive Moderation indicated a very high likelihood (up to 99.9%) that the image was AI-generated, with strong probability that it was created using Google’s Gemini.

Conclusion
Our research confirms that the viral image showing Iranian soldiers standing near a crashed helicopter is AI-generated and has no connection to any real-world event. It is being misleadingly shared online amid geopolitical tensions.
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Introduction
The courts in India have repeatedly emphasised the importance of “enhanced customer protection” and “limited liability” on their part. The rationale behind such imperatives is to extend security against exploitation by institutions that are equipped with all the means to manipulate customers. India, with its looming financial literacy gaps that have to be addressed, needs to curb any manipulation on the part of banking institutions. Various studies have highlighted this gap in recent times; for example, according to the National Centre for Financial Education, only 27% of Indian people are financially literate, which is much less than the 42% global average. With only 19% of millennials exhibiting sufficient financial awareness yet expressing high trust in their financial skills, the issue is very worrisome. Thus, the increasing number of financial frauds intensifies the issue.
Zero Liability in Cyber Frauds: Regulatory Safeguards for Digital Banking Customers
In light of the growing emphasis on financial inclusion and consumer protection, and in response to the recent rise in complaints regarding unauthorised debits from customer accounts and cards, the framework for assessing customer liability in such cases has been re-evaluated. The RBI’s circular dated July 6, 2017 titled “Customer Protection-Limited Liability of Customers in Unauthorised Electronic Banking Transactions” serves as the foundation for regulatory protections for Indian customers of digital banking. A clear and organised framework for determining customer accountability is outlined in the circular, which acknowledges the exponential increase in electronic transactions and related scams. It assigns proportional obligations for unauthorised transactions resulting from system-level breaches, client carelessness, and bank contributory negligence. Most importantly it establishes the zero responsibility concept, which protects clients from monetary losses in cases when the bank or another system component is at fault and the client promptly reports the breach.
This directive’s sophisticated approach to consumer protection is what makes it unique. It requires banks to set up strong fraud prevention systems, proactive alerting systems, and round-the-clock reporting systems. Furthermore, it significantly alters the power dynamics between financial institutions and customers by placing the onus of demonstrating customer negligence completely on the bank. The circular emphasises prompt reversal of funds to impacted customers and requires banks to implement Board-approved policies on liability to redress. As a result, it is a consumer rights charter rather than just a compliance document, promoting confidence and financial accountability in India’s digital banking sector.
Judicial Endorsement in Reinforcing the Zero Liability Principle
In the case of Suresh Chandra Negi & Anr. v. Bank of Baroda & Ors. (Writ (C) No. 24192 of 2022) The Allahabad High Court reaffirmed that the burden of proving consumer accountability rests firmly on the banking institution, hence reaffirming the zero liability concept in circumstances of unapproved electronic banking transactions. The Division bench emphasised the regulatory requirement that banks provide adequate proof before assigning blame to customers, citing Clause 12 of the RBI’s circular dated June 6, 2017, Customer Protection—Limited Liability of Customers in Unauthorised Electronic Banking Transactions. In a similar scenario, the Bombay HC held that a customer is entitled to zero liability when an authorized transaction occurs due to a third-party breach, where the deficiency lies neither with the bank nor the customer, provided the fraud is promptly reported.
The zero liability principle, as envisaged under Clause 8 of the RBI circular, has emerged as a cornerstone of consumer protection in India’s digital banking ecosystem.
Another landmark judgment that has given this principle the front stage in addressing banking frauds is Hare Ram Singh vs RBI &Ors. (W.P. (C) 13497/2022) laid down by Delhi HC which is an important legal turning point in the development of the zero liability principle under the RBI’s 2017 framework. The court reiterated the need to evaluate customer diligence in light of new fraud tactics like phishing and vishing by holding the State Bank of India (SBI) liable for a cyber fraud incident even though the transactions were authenticated by OTP. The ruling made it clear that when complex social engineering or technical manipulation is used, banks are nonetheless accountable even if they only rely on OTP validation. The legal protection provided to victims of unauthorised electronic banking transactions is strengthened by the court’s emphasis on the bank having the burden of evidence in accordance with RBI standards.
Importantly, this ruling lays the full burden of securing digital banking systems on financial organisations and supports the judiciary’s increasing acknowledgement of the digital asymmetry between banks and consumers. It emphasises that prompt consumer reporting, banks’ failure to disclose important credentials, and their own operational errors must all be taken into consideration when determining culpability. As a result, this decision establishes a strong precedent that will increase consumer confidence, promote systemic advancements in digital risk management, and better integrate the zero liability standard into Indian digital banking law. In a time when cyber vulnerabilities are growing, it acts as a beacon for financial accountability.
Conclusion
The Zero Liability Principle serves as a vital safety net for customers navigating an increasingly intricate and precarious financial environment in a time when digital transactions are the foundation of contemporary banking. In addition to codifying strong safeguards against unauthorized electronic transactions, the RBI’s 2017 framework rebalanced the fiduciary relationship by putting financial institutions squarely in charge. Through significant rulings, the courts have upheld this protective culture and emphasised that banks, not the victims of cybercrime, bear the burden of proof.
It would be crucial to execute these principles consistently, review them frequently, and raise public awareness as India transitions to a more digital economy. In order to ensure that consumers are not only protected but also empowered must become more than just a policy on paper.
References
- https://www.business-standard.com/content/specials/making-money-vs-managing-money-india-s-critical-financial-literacy-gap-125021900786_1.html
- https://www.livelaw.in/high-court/allahabad-high-court/allahabad-high-court-ruling-bank-liability-unauthorized-electronic-transaction-and-customer-fault-297962
- https://www.mondaq.com/india/white-collar-crime-anti-corruption-fraud/1635616/cyber-law-series-2-issue-10-the-zero-liability-principle-in-cyber-fraud-hare-ram-singh-v-reserve-bank-of-india-ors-case

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.
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.
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.
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.
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

Executive Summary:
A video is going viral on social media linking it to the ongoing conflict between the US-Israel and Iran. The clip shows explosions on buildings and is being shared with the claim that it depicts an attack on Israel. It is further claimed that Iran targeted a nuclear site located near the sea in Israel, and this video shows that attack. However, an research by the CyberPeace found the claim to be false. The video is not from a real incident but has been created using AI.
Claim:
On social media platform X, a user shared the viral video on March 8, 2026, with the caption: “Iran attacked an Israeli nuclear site located near the sea.”

Fact Check:
To verify the viral claim, we searched relevant keywords on Google but found no credible news reports supporting it.On closely examining the video, we observed several technical inconsistencies. The person seen in the video appears robotic, raising suspicion that the content may be AI-generated. To confirm this, we analyzed the video using AI detection tools. The tool Hive Moderation indicated that the video is approximately 97.5 percent likely to be generated using artificial intelligence.

We also used the AI detection tool Matrix.Tencent. The results suggested that the video is likely AI-generated, with around a 77 percent probability.

Conclusion:
Our research found that the viral video claiming to show an Iranian attack on Israel is AI-generated and not related to any real incident.