#FactCheck-AI-Generated Video Falsely Linked to Fresh US Strikes on Iran
Executive Summary
A video is being widely shared on social media showing what appears to be a military facility coming under heavy aerial bombardment. Soldiers can be seen running for cover as explosions occur, followed by thick plumes of smoke rising from the site. Users sharing the clip claim that tensions in the Middle East have escalated once again and that the United States has launched fresh strikes on Iranian-linked military positions. CyberPeace Research Wing's research found the viral claim to be false. Our research revealed that the circulating video is AI-generated and has no connection with the ongoing tensions between the United States and Iran.
Claim
An Instagram user shared the video claiming that fresh US strikes on Iranian-linked targets had significantly escalated the situation in the Middle East.
https://www.instagram.com/reel/DZeaatFNv2E/?igsh=aWRvaTZvNTV2aDR3
https://www.instagram.com/reel/DZeaatFNv2E/?igsh=aWRvaTZvNTV2aDR3

Fact Check
We extracted several keyframes from the viral video and conducted a reverse image search using Google Lens. The search did not lead to any credible news reports or verified sources related to the footage. We then closely examined the video and observed several visual inconsistencies. In the opening frames, the soldiers, military vehicles, and surrounding objects display unnatural shapes and distortions—artifacts commonly associated with AI-generated content. In the next stage of our research, we analysed the clip using the AI detection tool Sightengine. The analysis indicated that the video is approximately 66 per cent AI-generated, further supporting our findings that the footage is not authentic.

Another analysis of the recording using the DetectVideo AI tool found a 72 per cent probability that it was generated using artificial intelligence (AI).

Finally, we searched for recent developments related to the US-Iran tensions using relevant keywords on Google. During the search, we found an NDTV report published on July 9, 2026. The report explains that despite ongoing diplomatic engagement, tensions between the United States and Iran continue to persist due to decades-old political, strategic, and geopolitical disputes. It discusses why incidents of military escalation continue to occur despite repeated attempts at dialogue and de-escalation.
https://ndtv.in/world-news/us-iran-conflict-explained-why-peace-remains-so-elusive-11747960

Conclusion
Our research found that the viral video is not genuine. It is an AI-generated video being circulated with a false claim linking it to recent US military strikes on Iran. There is no credible evidence to suggest that the video depicts any real incident connected to the current US-Iran conflict.
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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

Introduction:
Former Egyptian MP Ahmed Eltantawy was targeted with Cytrox’s predator spyware through links sent via SMS and WhatsApp. Former Egyptian MP Ahmed Eltantawy has been targeted with Cytrox’s Predator spyware in a campaign believed to be state-sponsored cyber espionage. After Eltantawy made his intention to run for president in the 2024 elections known, the targeting took place between May and September 2023. The spyware was distributed using links sent via SMS and WhatsApp, network injection, and visits to certain websites by Eltantawy. The Citizen Lab examined the assaults with the help of Google's Threat Analysis Group (TAG), and they were able to acquire an iPhone zero-day exploit chain that was designed to be used to install spyware on iOS versions up to 16.6.1.
Investigation: The Ahmed Eltantawy Incident
Eltantawy's device was forensically examined by The Citizen Lab, which uncovered several efforts to use Cytrox's Predator spyware to target him. In the investigation, The Citizen Lab and TAG discovered an iOS exploit chain utilised in the attacks against Eltantawy. They started a responsible disclosure procedure with Apple, and as a consequence, it resulted in the release of updates patching the vulnerabilities used by the exploit chain. Mobile zero-day exploit chains may be quite expensive, with black market values for them exceeding millions of dollars. The Citizen Lab also identified several domain names and IP addresses associated with Cytrox’s Predator spyware. Additionally, a network injection method was also utilised to get the malware onto Eltantawy's phone, according to the study. He would be discreetly routed to a malicious website using network injection when he went to certain websites that weren't HTTPS.
What is Cyber Espionage?
Cyber espionage, also referred to as cyber spying, is a sort of cyberattack in which an unauthorised user tries to obtain confidential or sensitive information or intellectual property (IP) for financial gain, business benefit, or political objectives.
Apple's Response: A Look at iOS Vulnerability Patching
Users are advised to keep their devices up-to-date and enable lockdown Mode on iPhones. Former Egyptian MP targeted with predator spyware ahead of 2024 presidential run hence Update your macOS Ventura, iOS, and iPadOS devices, as Apple has released emergency updates to address the flaws. Apple has Released Emergency Updates Amid Citizen Lab’s Disclosure. Apple has issued three emergency updates for iOS, iPadOS (1), and macOS Ventura (2).
The updates address the following vulnerabilities:
CVE-2023-41991,
CVE-2023-41992,
CVE-2023-41993.
Apple customers are advised to immediately install these emergency security updates to protect themselves against potential targeted spyware attacks. By updating promptly, users will ensure that their devices are secure and cannot be compromised by such attacks exploiting these particular zero-day vulnerabilities. Hence it is advisable to maintain up-to-date software and enable security features in your Apple devices.
Conclusion:
Ahmed Eltantawy, a former Egyptian MP and presidential candidate, was targeted with Cytrox’s Predator spyware after announcing his bid for the presidency. He was targeted by Cytrox Predator Spyware Campaign. Such an incident is believed to be State-Sponsored Cyber Espionage. The incident raises the question of loss of privacy and shows the mala fide intention of the political opponents. The investigation Findings reveal that Ahmed Eltantawy was the victim of a sophisticated cyber espionage campaign that leveraged Cytrox’s Predator spyware. Apple advised that all users are urged to update their Apple devices. This case raises alarming concerns about the lack of controls on the export of spyware technologies and underscores the importance of security updates and lockdown modes on Apple devices.
References:
- https://uksnackattack.co.uk/predator-in-the-wires-ahmed-eltantawy-targeted-by-predator-spyware-upon-presidential-ambitions-announcement
- https://citizenlab.ca/2023/09/predator-in-the-wires-ahmed-eltantawy-targeted-with-predator-spyware-after-announcing-presidential-ambitions/#:~:text=Between%20May%20and%20September%202023,in%20the%202024%20Egyptian%20elections.
- https://thehackernews.com/2023/09/latest-apple-zero-days-used-to-hack.html
- https://www.hackread.com/zero-day-ios-exploit-chain-predator-spyware/

Executive Summary:
Traditional Business Email Compromise(BEC) attacks have become smarter, using advanced technologies to enhance their capability. Another such technology which is on the rise is WormGPT, which is a generative AI tool that is being leveraged by the cybercriminals for the purpose of BEC. This research aims at discussing WormGPT and its features as well as the risks associated with the application of the WormGPT in criminal activities. The purpose is to give a general overview of how WormGPT is involved in BEC attacks and give some advice on how to prevent it.
Introduction
BEC(Business Email Compromise) in simple terms can be defined as a kind of cybercrime whereby the attackers target the business in an effort to defraud through the use of emails. Earlier on, BEC attacks were executed through simple email scams and phishing. However, in recent days due to the advancement of AI tools like WormGPT such malicious activities have become sophisticated and difficult to identify. This paper seeks to discuss WormGPT, a generative artificial intelligence, and how it is used in the BEC attacks to make the attacks more effective.
What is WormGPT?
Definition and Overview
WormGPT is a generative AI model designed to create human-like text. It is built on advanced machine learning algorithms, specifically leveraging large language models (LLMs). These models are trained on vast amounts of text data to generate coherent and contextually relevant content. WormGPT is notable for its ability to produce highly convincing and personalised email content, making it a potent tool in the hands of cybercriminals.
How WormGPT Works
1. Training Data: Here the WormGPT is trained with the arrays of data sets, like emails, articles, and other writing material. This extensive training enables it to understand and to mimic different writing styles and recognizable textual content.
2. Generative Capabilities: Upon training, WormGPT can then generate text based on specific prompts, as in the following examples in response to prompts. For example, if a cybercriminal comes up with a prompt concerning the company’s financial information, WormGPT is capable of releasing an appearance of a genuine email asking for more details.
3. Customization: WormGPT can be retrained any time with an industry or an organisation of interest in mind. This customization enables the attackers to make their emails resemble the business activities of the target thus enhancing the chances for an attack to succeed.
Enhanced Phishing Techniques
Traditional phishing emails are often identifiable by their generic and unconvincing content. WormGPT improves upon this by generating highly personalised and contextually accurate emails. This personalization makes it harder for recipients to identify malicious intent.
Automation of Email Crafting
Previously, creating convincing phishing emails required significant manual effort. WormGPT automates this process, allowing attackers to generate large volumes of realistic emails quickly. This automation increases the scale and frequency of BEC attacks.
Exploitation of Contextual Information
WormGPT can be fed with contextual information about the target, such as recent company news or employee details. This capability enables the generation of emails that appear highly relevant and urgent, further deceiving recipients into taking harmful actions.
Implications for Cybersecurity
Challenges in Detection
The use of WormGPT complicates the detection of BEC attacks. Traditional email security solutions may struggle to identify malicious emails generated by advanced AI, as they can closely mimic legitimate correspondence. This necessitates the development of more sophisticated detection mechanisms.
Need for Enhanced Training
Organisations must invest in training their employees to recognize signs of BEC attacks. Awareness programs should emphasise the importance of verifying email requests for sensitive information, especially when such requests come from unfamiliar or unexpected sources.
Implementation of Robust Security Measures
- Multi-Factor Authentication (MFA): MFA can add an additional layer of security, making it harder for attackers to gain unauthorised access even if they successfully deceive an employee.
- Email Filtering Solutions: Advanced email filtering solutions that use AI and machine learning to detect anomalies and suspicious patterns can help identify and block malicious emails.
- Regular Security Audits: Conducting regular security audits can help identify vulnerabilities and ensure that security measures are up to date.
Case Studies
Case Study 1: Financial Institution
A financial institution fell victim to a BEC attack orchestrated using WormGPT. The attacker used the tool to craft a convincing email that appeared to come from the institution’s CEO, requesting a large wire transfer. The email’s convincing nature led to the transfer of funds before the scam was discovered.
Case Study 2: Manufacturing Company
In another instance, a manufacturing company was targeted by a BEC attack using WormGPT. The attacker generated emails that appeared to come from a key supplier, requesting sensitive business information. The attack exploited the company’s lack of awareness about BEC threats, resulting in a significant data breach.
Recommendations for Mitigation
- Strengthen Email Security Protocols: Implement advanced email security solutions that incorporate AI-driven threat detection.
- Promote Cyber Hygiene: Educate employees on recognizing phishing attempts and practising safe email habits.
- Invest in AI for Defense: Explore the use of AI and machine learning in developing defences against generative AI-driven attacks.
- Implement Verification Procedures: Establish procedures for verifying the authenticity of sensitive requests, especially those received via email.
Conclusion
WormGPT is a new tool in the arsenal of cybercriminals which improved their options to perform Business Email Compromise attacks more effectively and effectively. Therefore, it is critical to provide the defence community with information regarding the potential of WormGPT and its implications for enhancing the threat landscape and strengthening the protection systems against advanced and constantly evolving threats.
This means the development of rigorous security protocols, general awareness of security solutions, and incorporating technologies such as artificial intelligence to mitigate the risk factors that arise from generative AI tools to the best extent possible.