#FactCheck -Old Image from Iraq Falsely Linked to Alleged Attack on Iran’s Water Treatment Plant
Executive Summary:
Amid the ongoing tensions and conflict involving the United States, Israel, and Iran, an image of a heavily damaged industrial facility is circulating widely on social media. Several users are sharing the picture claiming that it shows an Iranian water treatment or desalination plant destroyed in a US–Israel attack. Some media reports have also used the same image while reporting on the alleged attack on a freshwater desalination plant in Iran.
However, a research by the CyberPeace found that the claim is misleading. The viral image is not from Iran. It actually shows the aftermath of a drone attack on a warehouse belonging to a US company in Basra, Iraq.
Claim
X user “Shashank Shekhar Jha” shared the image on March 8, 2026, claiming that a freshwater desalination plant in Qeshm, Iran, had been destroyed.
Fact check
To verify the claim, we conducted a reverse image search using Google Lens. During the search, we found a report published on March 7, 2026, on the website of Asian News International (ANI). The report stated that Iran’s Foreign Minister Seyed Abbas Araghchi condemned a US attack on a freshwater desalination plant on Qeshm Island, calling it a “blatant and desperate crime.”
The report used the same viral image; however, the caption clearly mentioned that it was a representational image credited to Reuters.
https://www.aninews.in/news/world/middle-east/blatant-and-desperate-crime-irans-fm-condemns-us-attack-on-qeshms-freshwater-desalination-plant-warns-of-grave-consequences20260307212645/
To further confirm the claim, we checked the official X account of Seyed Abbas Araghchi. In a post on March 7, he condemned the alleged attack on the desalination plant in Qeshm and stated that the strike had disrupted water supply to around 30 villages. However, the post did not include any image of the incident.
Conclusion
The viral image being shared as evidence of a US–Israel attack on Iran’s water treatment plant is misleading. The photo actually shows the aftermath of a drone strike on a warehouse belonging to a US company in Basra, Iraq, and has been wrongly linked to the situation in Iran.
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Introduction
In the sprawling online world, trusted relationships are frequently taken advantage of by cybercriminals seeking to penetrate guarded systems. The Watering Hole Attack is one advanced method, which focuses on a user’s ecosystem by compromising the genuine sites they often use. This attack method is different from phishing or direct attacks as it quietly exploits the everyday browsing of the target to serve malicious content. The quiet and exact nature of watering hole attacks makes them prevalent amongst Advanced Persistent Threat (APT) groups, especially in conjunction with state-sponsored cyber-espionage operations.
What Qualifies as a Watering Hole Attack?
A Watering Hole Attack targets and infects a trusted website. The targeted website is one that is used by a particular organization or community, such as a specific industry sector. This type of cyberattack is analogous to the method of attack used by animals and predators waiting by the water’s edge for prey to drink. Attackers prey on their targets by injecting malicious code, such as an exploit kit or malware loader, into websites that are popular with their victims. These victims are then infected when they visit said websites unknowingly. This opens as a gateway for attackers to infiltrate corporate systems, harvest credentials, and pivot across internal networks.
How Watering Hole Attacks Unfold
The attack lifecycle usually progresses as follows:
- Reconnaissance - Attackers gather intelligence on the websites frequented by the target audience, including specialized communities, partner websites, or local news sites.
- Website Exploitation - Through the use of outdated CMS software and insecure plugins, attackers gain access to the target website and insert malicious code such as JS or iframe redirections.
- Delivery and Exploitation - The visitor’s browser executes the malicious code injected into the page. The code might include a redirection payload which sends the user to an exploit kit that checks the user’s browser, plugins, operating system, and other components for vulnerabilities.
- Infection and Persistence - The infected system malware such as RATs, keyloggers, or backdoors. These enable lateral and long-term movements within the organisation for espionage.
- Command and Control (C2) - For further instructions, additional payload delivery, and stolen data retrieval, infected devices connect to servers managed by the attackers.
Key Features of Watering Hole Attacks
- Indirect Approach: Instead of going after the main target, attackers focus on sites that the main target trusts.
- Supply-Chain-Like Impact: An infected industry portal can affect many companies at the same time.
- Low Profile: It is difficult to identify since the traffic comes from real websites.
- Advanced Customization: Exploit kits are known to specialize in making custom payloads for specific browsers or OS versions to increase the chance of success.
Why Are These Attacks Dangerous?
Worming hole attacks shift the battlefield to new grounds in cyber warfare on the web. They eliminate the need for firewalls, email shields, and other security measures because they operate on the traffic to and from real, trusted websites. When the attacks work as intended, the following consequences can be expected:
- Stealing Credentials: Including privileged accounts and VPN credentials.
- Espionage: Theft of intellectual property, defense blueprints, or government confidential information.
- Supply Chain Attacks: Resulting in a series of infections among related companies.
- Zero-Day Exploits: Including automated attacks using zero-day exploits for full damage.
Incidents of Primary Concern
The implications of watering hole attacks have been felt in the real world for quite some time. An example from 2019 reveals this, where a known VoIP firm’s site was compromised and used to spread data-stealing malware to its users. Likewise, in 2014, the Operation Snowman campaign—which seems to have a state-backed origin—attempted to infect users of a U.S. veterans’ portal in order to gain access to visitors from government, defense, and related fields. Rounding up the list, in 2021, cybercriminals attacked regional publications focusing on energy, using the publications to spread malware to company officials and engineers working on critical infrastructure, as well as to steal data from their systems. These attacks show the widespread and dangerous impact of watering hole attacks in the world of cybersecurity.
Detection Issues
Due to the following reasons, traditional approaches to security fail to detect watering hole attacks:
- Use of Authentic Websites: Attacks involving trusted and popular domains evade detection via blacklisting.
- Encrypted Traffic: Delivering payloads over HTTPS conceals malicious scripts from being inspected at the network level.
- Fileless Methods: Using in-memory execution is a modern campaign technique, and detection based on signatures is futile.
Mitigation Strategies
To effectively neutralize the threat of watering hole attacks, an organization should implement a defense-in-depth strategy that incorporates the following elements:
- Patch Management and Hardening -
- Conduct routine updates on operating systems, web browsers, and extensions to eliminate exploit opportunities.
- Either remove or reduce the use of high-risk elements such as Flash and Java, if feasible.
- Network Segmentation - Minimize lateral movement by isolating critical systems from the general user network.
- Behavioral Analytics - Implement Endpoint Detection and Response (EDR) tools to oversee unusual behaviors on processes—for example, script execution or dubious outgoing connections.
- DNS Filtering and Web Isolation - Implement DNS-layer security to deny access to known malicious domains and use browser isolation for dangerous sites.
- Threat Intelligence Integration - Track watering hole threats and campaigns for indicators of compromise (IoCs) on advisories and threat feeds.
- Multi-Layer Email and Web Security - Use web gateways integrated with dynamic content scanning, heuristic analysis, and sandboxing.
- Zero Trust Architecture - Apply least privilege access, require device attestation, and continuous authentication for accessing sensitive resources.
Incident Response Best Practices
- Forensic Analysis: Check affected endpoints for any mechanisms set up for persistence and communication with C2 servers.
- Log Review: Look through proxy, DNS, and firewall logs to detect suspicious traffic.
- Threat Hunting: Search your environment for known Indicators of Compromise (IoCs) related to recent watering hole attacks.
- User Awareness Training: Help employees understand the dangers related to visiting external industry websites and promote safe browsing practices.
The Immediate Need for Action
The adoption of cloud computing and remote working models has significantly increased the attack surface for watering hole attacks. Trust and healthcare sectors are increasingly targeted by nation-state groups and cybercrime gangs using this technique. Not taking action may lead to data leaks, legal fines, and break-ins through the supply chain, which damage the trustworthiness and operational capacity of the enterprise.
Conclusion
Watering hole attacks demonstrate how phishing attacks evolve from a broad attack to a very specific, trust-based attack. Protecting against these advanced attacks requires the zero-trust mindset, adaptive defenses, and continuous monitoring, which is multicentral security. Advanced response measures, proactive threat intelligence, and detection technologies integration enable organizations to turn this silent threat from a lurking predator to a manageable risk.
References
- https://www.fortinet.com/resources/cyberglossary/watering-hole-attack
- https://en.wikipedia.org/wiki/Watering_hole_attack
- https://www.proofpoint.com/us/threat-reference/watering-hole
- https://www.techtarget.com/searchsecurity/definition/watering-hole-attack
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Introduction
The unprecedented rise of social media, challenges with regional languages, and the heavy use of messaging apps like WhatsApp have all led to an increase in misinformation in India. False stories spread quickly and can cause significant harm, like political propaganda and health-related mis/misinformation. Programs that teach people how to use social media responsibly and attempt to check facts are essential, but they do not always connect with people deeply. Reading stories, attending lectures, and using tools that check facts are standard passive learning methods used in traditional media literacy programs.
Adding game-like features to non-game settings is called "gamification," it could be a new and interesting way to answer this question. Gamification involves engaging people by making them active players instead of just passive consumers of information. Research shows that interactive learning improves interest, thinking skills, and memory. People can learn to recognise fake news safely by turning fact-checking into a game before encountering it in real life. A study by Roozenbeek and van der Linden (2019) showed that playing misinformation games can significantly enhance people's capacity to recognise and avoid false information.
Several misinformation-related games have been successfully implemented worldwide:
- The Bad News Game – This browser-based game by Cambridge University lets players step into the shoes of a fake news creator, teaching them how misinformation is crafted and spread (Roozenbeek & van der Linden, 2019).
- Factitious – A quiz game where users swipe left or right to decide whether a news headline is real or fake (Guess et al., 2020).
- Go Viral! – A game designed to inoculate people against COVID-19 misinformation by simulating the tactics used by fake news peddlers (van der Linden et al., 2020).
For programs to effectively combat misinformation in India, they must consider factors such as the responsible use of smartphones, evolving language trends, and common misinformation patterns in the country. Here are some key aspects to keep in mind:
- Vernacular Languages
There should be games in Hindi, Tamil, Bengali, Telugu, and other major languages since that is how rumours spread in different areas and diverse cultural contexts. AI voice conversation and translation can help reduce literacy differences. Research shows that people are more likely to engage with and trust information in their native language (Pennycook & Rand, 2019).
- Games Based on WhatsApp
Interactive tests and chatbot-powered games can educate consumers directly within the app they use most frequently since WhatsApp is a significant hub for false information. A game with a WhatsApp-like interface where players may feel like they are in real life, having to decide whether to avoid, check the facts of, or forward messages that are going viral could be helpful in India.
- Detecting False Information
As part of a mobile-friendly game, players can pretend to be reporters or fact-checkers and have to prove stories that are going viral. They can do the same with real-life tools like reverse picture searches or reliable websites that check facts. Research shows that doing interactive tasks to find fake news makes people more aware of it over time (Lewandowsky et al., 2017).
- Reward-Based Participation
Participation could be increased by providing rewards for finishing misleading challenges, such as badges, diplomas, or even incentives on mobile data. This might be easier to do if there are relationships with phone companies. Reward-based learning has made people more interested and motivated in digital literacy classes (Deterding et al., 2011).
- Universities and Schools
Educational institutions can help people spot false information by adding game-like elements to their lessons. Hamari et al. (2014) say that students are more likely to join and remember what they learn when there are competitive and interactive parts to the learning. Misinformation games can be used in media studies classes at schools and universities by using models to teach students how to check sources, spot bias, and understand the psychological tricks that misinformation campaigns use.
What Artificial Intelligence Can Do for Gamification
Artificial intelligence can tailor learning experiences to each player in false games. AI-powered misinformation detection bots could lead participants through situations tailored to their learning level, ensuring they are consistently challenged. Recent natural language processing (NLP) developments enable AI to identify nuanced misinformation patterns and adjust gameplay accordingly (Zellers et al., 2019). This could be especially helpful in India, where fake news is spread differently depending on the language and area.
Possible Opportunities
Augmented reality (AR) scavenger hunts for misinformation, interactive misinformation events, and educational misinformation tournaments are all examples of games that help fight misinformation. India can help millions, especially young people, think critically and combat the spread of false information by making media literacy fun and interesting. Using Artificial Intelligence (AI) in gamified treatments for misinformation could be a fascinating area of study in the future. AI-powered bots could mimic real-time cases of misinformation and give quick feedback, which would help students learn more.
Problems and Moral Consequences
While gaming is an interesting way to fight false information, it also comes with some problems that you should think about:
- Ethical Concerns: Games that try to imitate how fake news spreads must ensure players do not learn how to spread false information by accident.
- Scalability: Although worldwide misinformation initiatives exist, developing and expanding localised versions for India's varied language and cultural contexts provide significant challenges.
- Assessing Impact: There is a necessity for rigorous research approaches to evaluate the efficacy of gamified treatments in altering misinformation-related behaviours, keeping cultural and socio-economic contexts in the picture.
Conclusion
A gamified approach can serve as an effective tool in India's fight against misinformation. By integrating game elements into digital literacy programs, it can encourage critical thinking and help people recognize misinformation more effectively. The goal is to scale these efforts, collaborate with educators, and leverage India's rapidly evolving technology to make fact-checking a regular practice rather than an occasional concern.
As technology and misinformation evolve, so must the strategies to counter them. A coordinated and multifaceted approach, one that involves active participation from netizens, strict platform guidelines, fact-checking initiatives, and support from expert organizations that proactively prebunk and debunk misinformation can be a strong way forward.
References
- Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: defining "gamification". Proceedings of the 15th International Academic MindTrek Conference.
- Guess, A., Nagler, J., & Tucker, J. (2020). Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Science Advances.
- Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work?—A literature review of empirical studies on gamification. Proceedings of the 47th Hawaii International Conference on System Sciences.
- Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition.
- Pennycook, G., & Rand, D. G. (2019). Fighting misinformation on social media using “accuracy prompts”. Nature Human Behaviour.
- Roozenbeek, J., & van der Linden, S. (2019). The fake news game: actively inoculating against the risk of misinformation. Journal of Risk Research.
- van der Linden, S., Roozenbeek, J., Compton, J. (2020). Inoculating against fake news about COVID-19. Frontiers in Psychology.
- Zellers, R., Holtzman, A., Rashkin, H., Bisk, Y., Farhadi, A., Roesner, F., & Choi, Y. (2019). Defending against neural fake news. Advances in Neural Information Processing Systems.
Executive Summary:
A video of India’s Defence Minister Rajnath Singh is going viral on social media. The post claims that Rajnath Singh is openly supporting Israeli-American attacks against Iran. In the video, he can allegedly be heard saying that Prime Minister Narendra Modi had visited Israel before the war began and warned Tehran that disturbing peace would have serious consequences.
Research by CyberPeace found that the viral video is a deepfake created using Artificial Intelligence (AI). Rajnath Singh has not made any such statement about Iran or the Israel-US conflict.
Claim
A Facebook user “Sheikh Sadeque Ali” shared the video on March 2, 2026. The caption of the post reads, “Indian Defence Minister Rajnath Singh is supporting Israel’s attack on Iran. This clearly shows that India supports the killing of Muslims.”
In the viral video, Rajnath Singh appears to say in English: “Prime Minister Modi’s visit to Israel before the attack on Iran reflects India’s solidarity with its strategic partner… He warned Tehran that hostile actions would have serious consequences for regional peace.”
Fact Check:
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. During the research , we found the original video on Rajnath Singh’s official YouTube channel. The video was uploaded on November 23, 2025.In the original video, Rajnath Singh was addressing a Sindhi community conference in Delhi. During his speech, he was talking about Sindhi culture and the history of Partition. He did not mention Israel, Iran or any Middle East conflict during the entire program.
Upon closely examining the viral video, technical inconsistencies between the lip movements and the audio (lip-sync discrepancies) can be observed, which strongly indicate that the video may have been generated using AI. To verify this, we analysed the clip using several AI-detection tools. The AI detection tool Hive Moderation indicated that the video has a 99% probability of being AI-generated.
Conclusion:
Our research found that the viral video of Rajnath Singh is a deepfake. He has not made any statement supporting Israel or opposing Iran. The original video is from a Sindhi community event in Delhi, which has been digitally altered using AI to spread a misleading claim.
