#FactCheck-Deepfake Video Falsely Shows DRDO Chief Claiming ‘Agni-6 Was Washed with Cow Urine’

Introduction

‍

In the hyperconnected world, cyber incidents can no longer be treated as sporadic disruptions; such incidents have become an everyday occurrence. The attack landscape today is very consequential and shows significant multiplication in its frequency, with ransomware attacks incapacitating a health system, phishing attacks hitting a financial institution, or state-sponsored attacks on critical infrastructures. Towards counteracting such threats, traditional ways alone are not enough, they gravely rely on manual research and human intellect. Attackers exercise speed, scale, and stealth, and defenders are always four steps behind. With such a widening gap, it is deemed necessary to facilitate incident response and crisis management with the intervention of automation and artificial intelligence (AI) for faster detection, context-driven decision-making, and collaborative response beyond human capabilities.

‍

Incident Response and Crisis Management

‍

Incident response is the structured way in which organisations deal with responding to detecting, segregating, and recovering from security incidents. Crisis management takes this even further, dealing not only with the technical fallout of a breach but also its business, reputation, and regulatory implications. Echelon used to depend on manual teams of people sorting through logs, cross-correlating alarms, and generating responses, a paradigm effective for small numbers but quickly inadequate in today's threat climate. Today's opponents attack at machine speed, employing automation to launch attacks. Under such circumstances, responding with slow, manual methods means delay and draconian consequences. The AI and automation introduction is a paradigm change that allows organisations to equate the pace and precision with which attackers initiate attacks in responding to incidents.

‍

How Automation Reinvents Response

‍

Cybercrime automation liberates cybercrime analysts from boring and repetitive tasks that consume time. An analyst manually detects potential threats from a list of hundreds each day, while automated systems sift through noise and focus only on genuine threats. Malware can automatically cause infected computers to be disconnected from the network to avoid spreading or may automatically have its suspicious account permissions removed without human intervention. The security orchestration systems move further by introducing playbooks, predefined steps describing how incidents of a certain type (e.g., phishing attempts or malware infections) should be handled. This ensures fast containment while ensuring consistency and minimising human error amid the urgency of dealing with thousands of alerts.

Automation takes care of threat detection, prioritisation, and containment, allowing human analysts to refocus on more complex decision-making. Instead of drowning in the sea of trivial alerts, security teams can now devote their efforts to more strategic areas: threat hunting and longer-term resilience. Automation is a strong tool of defence, cutting response times down from hours to minutes.

‍

The Intelligence Layer: AI in Action

‍

If automation provides speed, then AI is what allows the brain to be intelligent and flexible. Working with old and fixed-rule systems, AI-enabled solutions learn from experiences, adapt to changes in threats, and discover hidden patterns of which human analysts themselves would be unaware. For instance, machine learning algorithms identify normal behaviour on a corporate network and raise alerts on any anomalies that could indicate an insider attack or an advanced persistent threat. Similarly, AI systems sift through global threat intelligence to predict likely attack vectors so organisations can have their vulnerabilities fixed before they are exploited.

AI also boosts forensic analysis. Instead of searching forever for clues, analysts let AI-driven systems trace back to the origin of an event, identify vulnerabilities exploited by attackers, and flag systems that are still under attack. During a crisis, AI is a decision support that predicts outcomes of different scenarios and recommends the best response. In response to a ransomware attack, for example, based on context, AI might advise separating a single network segment or restoring from backup or alerting law enforcement. 

‍

Real-World Applications and Case Studies

‍

Already, this mitigation has been provided in the form of real-world applications of automation and AI. Consider, for example, IBM Watson for Cybersecurity, which has been applied in analysing unstructured threat intelligence and providing analysts with actionable results in minutes, rather than days. Like this, systems driven by AI in DARPA's Cyber Grand Challenge demonstrated the ability to automatically identify an instant vulnerability, patch it, and reveal the potential of a self-healing system. AI-powered fraud detection systems stop suspicious transactions in the middle of their execution and work all night to prevent losses. What is common in all these examples is that automation and AI lessen human effort, increase accuracy, and in the event of a cyberattack, buy precious time.

‍

Challenges and Limitations

‍

While promising, the technology is still not fully mature. The quality of an AI system is highly dependent on the training data provided; poor training can generate false positives that drown teams or worse false negatives that allow attackers to proceed unabated. Attackers have also started targeting AI itself by poisoning datasets or designing malware that does not get detected. Aside from risks that are more technical, the operational and financial costs involved in implementing advanced AI-based systems present expensive threats to any company. Organisations will have to make expenditures not only on technology but also for the training of staff to best utilise these tools. There are some ethical and privacy issues to consider as well because systems may be processing sensitive personal data, so global data protection laws such as the GDPR or India's DPDP Act could come into conflict.

‍

Creating a Human-AI Collaboration

‍

The future is not going to be one of substitution by machines but of creating human-AI synergy. Automation can do the drudgery, AI can provide smarts, and human professionals can use judgment, imagination, and ethical decisions. One would want to build AI-fuelled Security Operations Centres where technology and human experts work in tandem. Continuous training must be provided to AI models to reduce false alarms and make them most resistant against adversarial attacks. Regular conduct of crisis drills that combine AI tools and human teams can ensure preparedness for real-time events. Likewise, it is worth integrating ethical AI guidelines into security frameworks to ensure a stronger defence while respecting privacy and regulatory compliance.

‍

Conclusion

‍

Cyber-attacks are an eventuality in this modern time, but the actual impact need not be so harsh. The organisations can maintain the programmatic method of integrating automation and AI into incident response and crisis management so that the response against the very threat can be shifted from reactive firefighting to proactive resilience. Automation gives speed and efficiency while AI gives intelligence and foresight, hence putting the defenders on par and possibly exceeding the speed and sophistication of the attackers. But an utmost system without human inquisitiveness, ethical reasoning, and strategic foresight would remain imperfect. The best defence is in that human-machine relationship symbiotic system wherein automation and AI take care of how fast and how many cyber threats come in, whereas human intellect ensures that every response is aligned with larger organizational goals. This synergy is where cybersecurity resiliency will reside in the future-the defenders won't just be reacting to emergencies but will rather be driving the way.

‍

References

‍

• https://www.sisainfosec.com/blogs/incident-response-automation/
• https://stratpilot.ai/role-of-ai-in-crisis-management-and-its-critical-importance/
• https://www.juvare.com/integrating-artificial-intelligence-into-crisis-management/
• https://www.motadata.com/blog/role-of-automation-in-incident-management/

‍

One of the best forums for many video producers is YouTube. It also has a great chance of generating huge profits. YouTube content producers need assistance to get the most views, likes, comments, and subscribers for their videos and channels. As a result, some people could use YouTube bots to unnaturally raise their ranks on the YouTube site, which might help them get more organic views and reach a larger audience. However, this strategy is typically seen as unfair and can violate the YouTube platform’s terms of service.

As YouTube grows in popularity, so does the usage of YouTube bots. These bots are software programs that may automate operations on the YouTube platform, such as watching, liking, or disliking videos, subscribing to or unsubscribing from channels, making comments, and adding videos to playlists, among others. There have been YouTube bots around for a while. Many YouTubers widely use these computer codes to increase the number of views on their videos and accounts, which helps them rank higher in YouTube’s algorithm. Researchers discovered a new bot that takes private information from YouTube users’ accounts.

CRIL (Cyble Research and Intelligence Labs) has been monitoring new and active malware families CRIL has discovered a new YouTube bot virus capable of viewing, liking, and commenting on YouTube videos. Furthermore, it is capable of stealing sensitive information from browsers and acting as a bot that accepts orders from the Command and Control (C&C) server to carry out other harmful operations.

The Bot Insight

This YouTube bot has the same capabilities as all other YouTube bots, including the ability to view, like, and comment on videos. Additionally, it has the ability to steal private data from browsers and act as a bot that takes commands from a Command and Control (C&C) server for various malicious purposes. Researchers from Cyble discovered the inner workings of this information breach the Youtube bot uses the sample hash(SHA256) e9dac8b677a670e70919730ee65ab66cc27730378b9233d944ad7879c530d312.They discovered that it was created using the.NET compiler and is an executable file with a 32-bit size.

• The virus runs an AntiVM check as soon as it is executed to thwart researchers’ attempts to find and analyze malware in a virtual environment.
• It stops the execution if it finds that it is operating in a regulated setting. If not, it will carry out the tasks listed in the argument strings.
• Additionally, the virus creates a mutex, copies itself to the %appdata% folder as AvastSecurity.exe, and then uses cmd.exe to run.
• The new mutex makes a task scheduler entry and aids in ensuring
• The victim’s system’s installed Chromium browsers are used to harvest cookies, autofill information, and login information by the AvastSecurity.exe program.
• In order to view the chosen video, the virus runs the YouTube Playwright function, passing the previously indicated arguments along with the browser’s path and cookie data.
• YouTube bot uses the YouTube Playwright function to launch the browser environment with the specified parameters and automate actions like watching, liking, and commenting on YouTube videos. The feature is dependent on Microsoft. playwright’s kit.
• The malware establishes a connection to a C2 server and gets instructions to erase the entry for the scheduled task and end its own process, extract log files to the C2 server, download and run other files, and start/stop watching a YouTube movie.
• Additionally, it verifies that the victim’s PC has the required dependencies, including the Playwright package and the Chrome browser, installed. When it gets the command “view,” it will download and install these dependencies if they are missing.

Recommendations

The following is a list of some of the most critical cybersecurity best practices that serve as the first line of defense against intruders. We propose that our readers follow the advice provided below:

• Downloading pirated software from warez/torrent websites should be avoided. Such a virus is commonly found in “Hack Tools” available on websites such as YouTube, pirate sites, etc.
• When feasible, use strong passwords and impose multi-factor authentication.
• Enable automatic software updates on your laptop, smartphone, and other linked devices.
• Use a reputable antivirus and internet security software package on your linked devices, such as your computer, laptop, and smartphone.
• Avoid clicking on suspicious links and opening email attachments without verifying they are legitimate.Inform staff members on how to guard against dangers like phishing and unsafe URLs.
• Block URLs like Torrent/Warez that might be used to propagate malware.To prevent malware or TAs from stealing data, keep an eye on the beacon at the network level.

Conclusion

Using YouTube bots may be a seductive strategy for content producers looking to increase their ranks and expand their viewership on the site. However, the employment of bots is typically regarded as unfair and may violate YouTube’s terms of service. Utilizing YouTube bots carries additional risk because they might be identified, which could lead to account suspension or termination for the user. Mitigating this pressing issue through awareness drives and surveys to determine the bone of contention is best. NonProfits and civil society organizations can bridge the gap between the tech giant and the end user to facilitate better know-how about these unknown bots.

Executive Summary:
‍

A viral video showing flames and thick smoke from large fuel tanks has been shared widely on social media. Many claimed it showed a recent Russian missile attack on a fuel depot in Ukraine. However, our research found that the video is not related to the Russia-Ukraine conflict. It actually shows a fire that happened at Al Hamriyah Port in Sharjah, United Arab Emirates, on May 31, 2025. The confusion was likely caused by a lack of context and misleading captions.

‍
‍

‍

‍

Claim:

‍
The circulating claim suggests that Russia deliberately bombed Ukraine's fuel reserves and the viral video shows evidence of the bombing. The posts claim the fuel depot was destroyed purposefully during military operations, implying an increase in violence. This narrative is intended to generate feelings and reinforce fears related to war.

‍

‍

‍

Fact Check:

‍
‍
After doing a reverse image search of the key frames of the viral video,  we found that the video is actually from Al Hamriyah Port, UAE, not from the Russia-Ukraine conflict. During further research we found the same visuals were also published by regional news outlets in the UAE, including Gulf News and Khaleej Times, which reported on a massive fire at Al Hamriyah Port on 31 May 2025.

As per the news report, a fire broke out at a fuel storage facility in Al Hamriyah Port, UAE. Fortunately, no casualties were reported. Fire Management Services responded promptly and successfully brought the situation under control.

‍

‍

‍

‍

‍

Conclusion:

‍
The belief that the viral video is evidence of a Russian strike in Ukraine is misleading and incorrect. The video is actually of a fire at a commercial port in the UAE. When you share misleading footage like that, you distort reality and incite fear based on lies. It is simply a reminder that not all viral media is what it appears to be, and every viewer should take the time to check and verify the content source and context before accepting or reposting. In this instance, the original claim is untrue and misleading.

‍

• Claim: Fresh attack in Ukraine! Russian military strikes again!
• Claimed On: Social Media
• Fact Check: False and Misleading

‍