#FactCheck: Fake viral AI video captures a real-time bridge failure incident in Bihar
Executive Summary:
A video went viral on social media claiming to show a bridge collapsing in Bihar. The video prompted panic and discussions across various social media platforms. However, an exhaustive inquiry determined this was not real video but AI-generated content engineered to look like a real bridge collapse. This is a clear case of misinformation being harvested to create panic and ambiguity.

Claim:
The viral video shows a real bridge collapse in Bihar, indicating possible infrastructure failure or a recent incident in the state.
Fact Check:
Upon examination of the viral video, various visual anomalies were highlighted, such as unnatural movements, disappearing people, and unusual debris behavior which suggested the footage was generated artificially. We used Hive AI Detector for AI detection, and it confirmed this, labelling the content as 99.9% AI. It is also noted that there is the absence of realism with the environment and some abrupt animation like effects that would not typically occur in actual footage.

No valid news outlet or government agency reported a recent bridge collapse in Bihar. All these factors clearly verify that the video is made up and not real, designed to mislead viewers into thinking it was a real-life disaster, utilizing artificial intelligence.
Conclusion:
The viral video is a fake and confirmed to be AI-generated. It falsely claims to show a bridge collapsing in Bihar. This kind of video fosters misinformation and illustrates a growing concern about using AI-generated videos to mislead viewers.
Claim: A recent viral video captures a real-time bridge failure incident in Bihar.
Claimed On: Social Media
Fact Check: False and Misleading
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Introduction
A famous quote, “Half knowledge is always dangerous”, but “Too much knowledge of anything can lead to destruction”. Recently very infamous spyware and malware named WyrmSpy and Dragon Egg were invented by a Chinese group of hackers APT41. The APT41 is a state-endorsed Clandstein active group based in the People’s Republic of China that has been active since 2012. In contrast to numerous countries-government supported, APT has a footprint record jeopardising both government organisations for clandestine activities as well as different private organisations or enterprises for their financial gain. APT41 group aims at Android devices through spyware wyrmspy and dragon egg, which masquerades as a legitimate application. According to the U.S. jury legal accusation from 2019 to 2020, the group was entangled in threatening over more than 100 public and private individuals and organisations in the United States and around the world.Moreover, a detailed analysis report was shared by the Lookout Threat Researchers, that has been actively monitoring and tracking both spyware and malware.
Briefing about how spyware attacks on Android devices take place
To begin with, this malware imitates a real source Android application to show some sort of notification. Once it is successfully installed on the user’s machine, proclaims multiple device’s permission to enable data filtration.
Wyrmspy complies with log files, photos, device locations, SMS(read and write), and audio recordings. It has also authenticated that there are no detection malware activities found on google play even after running multiple security levels. These malicious things are made with the intent to obtain rooting access privileges to the device and monitor activities to the specified commands received from the C2 servers.
Similarly, Dragon Egg can collect data files, contacts, locations, and audio recordings, and it also accesses camera photos once it successfully trade-off the device. Dragon egg receives a payload that is also known as “smallmload.jar”, which is either from APK(Android Packet Kit).
WyrmSpy initially masquerades as a default operation system application, and Dragon Egg simulates a third-party keyboard/ messaging application.
Overview of APT41 Chinese group background
APT41 is a Chinese-based stealth activity-carrying group that is said to be active since mid-2006. Rumours about APT41 that it was also a part of the 2nd Bureau of the People’s Liberation Army (PLA) General Staff Department’s (GSD) 3rd Department. Owning to that fact, 2006 has seen 140+ organisations’ security getting compromised, ranging from 20 strategically crucial companies.APT is also recognised for rationally plundering hundreds of terabytes of data from at least 141 organisations between 2006 and 2013. It typically begins with spear-phishing emails to the targeted victims. These sent emails contain official templates along with language pretending to be from a legitimate real source, carrying a malicious attachment. As the victim opens the attached file, the backdoor bestows the control of the targeted machine to the APT groups machine. Once there is an unauthorised gain of access, the attacker visits and revisits the victim’s machine. The group remains dormant for lengthy durations, more likely for months or even for years.
Advisory points need to adhere to while using Android devices
- The security patch update is necessary at least once a week
- Clearing up unwanted junk files.
- Cache files of every frequently used application need to clear out.
- Install only required applications from
Google play store. - Download only necessary APK files only it comes from trusted resources.
- Before giving device permission, it is advisable to run your files or URLs on VirusTotal.com this website will give a good closure to the malicious intent.
- Install good antivirus software.
- Individuals need to check the source of the email before opening an attachment to it.
- Never collect or add any randomly found device to your system
- Moreover, the user needs to keep track of their device activity. Rather than using devices just for entertainment purposes, it is more important to look for data protection on that device.
Conclusion
Network Crack Program Hacker Group (NCPH), which grew as an APT41 group with malicious intent, earlier performed the role of grey hat hacker, this group somehow grew up greedy to enhance more money laundering by hacking networks, devices, etc. As this group conducts a supply chain of attacks to gain unauthorised access to the network throughout the world, targeting hundreds of companies, including an extensive selection of industries such as social media, telecommunications, government, defence, education, and manufacturing. Last but not least, many more fraud-making groups with malicious intent will be forming and implementing in the future. It is on individuals and organisations to secure themselves but practise basic security levels to safeguard themselves against such threats and attacks.

AI-generated content has been taking up space in the ever-changing dynamics of today's tech landscape. Generative AI has emerged as a powerful tool that has enabled the creation of hyper-realistic audio, video, and images. While advantageous, this ability has some downsides, too, particularly in content authenticity and manipulation.
The impact of this content is varied in the areas of ethical, psychological and social harms seen in the past couple of years. A major concern is the creation of non-consensual explicit content, including nudes. This content includes content where an individual’s face gets superimposed onto explicit images or videos without their consent. This is not just a violation of privacy for individuals, and can have humongous consequences for their professional and personal lives. This blog examines the existing laws and whether they are equipped to deal with the challenges that this content poses.
Understanding the Deepfake Technology
Deepfake technology is a media file (image, video, or speech) that typically represents a human subject that is altered deceptively using deep neural networks (DNNs). It is used to alter a person’s identity, and it usually takes the form of a “face swap” where the identity of a source subject is transferred onto a destination subject. The destination’s facial expressions and head movements remain the same, but the appearance in the video is that of the source. In the case of videos, the identities can be substituted by way of replacement or reenactment.
This superimposed content creates realistic content, such as fake nudes. Presently, creating a deepfake is not a costly endeavour. It requires a Graphics Processing Unit (GPU), software that is free, open-source, and easy to download, and graphics editing and audio-dubbing skills. Some of the common apps to create deepfakes are DeepFaceLab and FaceSwap, which are both public and open source and are supported by thousands of users who actively participate in the evolution and development of these software and models.
Legal Gaps and Challenges
Multiple gaps and challenges exist in the legal space for deepfakes and their regulation. They are:
- The inadequate definitions governing AI-generated explicit content often lead to enforcement challenges.
- Jurisdictional challenges due to the cross-border nature of crimes and the difficulties caused by international cooperation measures are in the early stages for AI content.
- There is a gap between the current consent-based and harassment laws for AI-generated nudes.
- Providing evidence or providing proof for the intent and identification of perpetrators in digital crimes is a challenge that is yet to be overcome.
Policy Responses and Global Trends
Presently, the global response to deepfakes is developing. The UK has developed the Online Safety Bill, the EU has the AI Act, the US has some federal laws such as the National AI Initiative Act of 2020 and India is currently developing the India AI Act as the specific legislation dealing with AI and its correlating issues.
The IT Rules, 2021, and the DPDP Act, 2023, regulate digital platforms by mandating content governance, privacy policies, grievance redressal, and compliance with removal orders. Emphasising intermediary liability and safe harbour protections, these laws play a crucial role in tackling harmful content like AI-generated nudes, while the DPDP Act focuses on safeguarding privacy and personal data rights.
Bridging the Gap: CyberPeace Recommendations
- Initiate legislative reforms by advocating for clear and precise definitions for the consent frameworks and instituting high penalties for AI-based offences, particularly those which are aimed at sexually explicit material.
- Advocate for global cooperation and collaborations by setting up international standards and bilateral and multilateral treaties that address the cross-border nature of these offences.
- Platforms should push for accountability by pushing for stricter platform responsibility for the detection and removal of harmful AI-generated content. Platforms should introduce strong screening mechanisms to counter the huge influx of harmful content.
- Public campaigns which spread awareness and educate users about their rights and the resources available to them in case such an act takes place with them.
Conclusion
The rapid advancement of AI-generated explicit content demands immediate and decisive action. As this technology evolves, the gaps in existing legal frameworks become increasingly apparent, leaving individuals vulnerable to profound privacy violations and societal harm. Addressing this challenge requires adaptive, forward-thinking legislation that prioritises individual safety while fostering technological progress. Collaborative policymaking is essential and requires uniting governments, tech platforms, and civil society to develop globally harmonised standards. By striking a balance between innovation and societal well-being, we can ensure that the digital age is not only transformative but also secure and respectful of human dignity. Let’s act now to create a safer future!
References
- https://etedge-insights.com/technology/artificial-intelligence/deepfakes-and-the-future-of-digital-security-are-we-ready/
- https://odsc.medium.com/the-rise-of-deepfakes-understanding-the-challenges-and-opportunities-7724efb0d981
- https://insights.sei.cmu.edu/blog/how-easy-is-it-to-make-and-detect-a-deepfake/

Executive Summary
A video showing security personnel overpowering a man is being widely shared on social media with the claim that it shows the Border Security Force (BSF) arresting an infiltrator attempting to cross the India-Bangladesh border in West Bengal. However, research by CyberPeace Research Wing found that the claim is false. The viral video is from Bangladesh and is unrelated to India or the BSF.
Claim
An X user shared the viral video claiming: “He was crossing the Bengal border from beneath the barbed fencing when the BSF caught him on the spot.”
The post was circulated as an incident from the India-Bangladesh border in West Bengal.

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 same video posted on 21 March 2026 by an X handle named “Niru Nahar.”
According to the caption of that post, the video showed Bangladesh Border Guards arresting BNP leader Mizan, also known as “Baba Mizan,” near the border.

Further research led us to a Facebook post uploaded on 22 March 2026 by Bangladeshi news platform Jono Pulse. The post identified the detained individual as “Juel,” an alleged drug trafficker from Chapainawabganj, and stated that he had been arrested by the Border Guard Bangladesh (BGB).
Chapainawabganj is located in Bangladesh, confirming that the video is unrelated to West Bengal or the BSF.

Conclusion
The viral claim is misleading. The video does not show the BSF arresting an infiltrator at the Bengal border. It is actually from Bangladesh and depicts a separate incident involving Border Guard Bangladesh personnel.