#FactCheck - Viral Video of ‘Hatha Yogi’ Meditating on Snowy Mountain Is AI-Generated
A video claiming to show a Hatha yogi performing extreme penance on a snow-covered mountain amid strong icy winds is going viral on social media. In the clip, the ascetic is seen balancing on one hand in a yoga posture, while users portray the visuals as a rare example of extraordinary spiritual endurance in harsh climatic conditions.
However, an investigation by the CyberPeace Foundation has found the claim to be false. Our analysis confirms that the viral video is AI-generated and does not depict a real person or an actual event.
Claim:
A Instagram user shared the video with the caption:
“Hatha yogi, what kind of soil are these people made of?” The post suggests that the visuals show a real yogi performing intense meditation on a frozen mountain.
- https://www.instagram.com/reels/DTK32TvDGIJ/
- (Archive link as provided) https://perma.cc/H84M-MGXZ

Fact Check:
To verify the claim, the CyberPeace Foundation conducted a detailed examination of the viral video.No credible or verifiable news reports were found to support the claim that such an incident ever occurred.
The viral video was analysed using the AI detection tool Deepfake-O-Meter.Its AVSRDD (2025) module flagged the video as AI-generated, confirming that the visuals were digitally created and not recorded in real life.
Multiple indicators within the footage,such as unnatural body balance, environmental inconsistencies, and visual artifacts are consistent with AI-generated content.

Conclusion
The viral video purportedly showing a yogi meditating on a frozen mountain is not real. It has been created using artificial intelligence and is being circulated on social media with a misleading narrative. Users are advised to exercise caution and verify content before sharing such sensational claims.
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Introduction
India’s telecommunications infrastructure is one of the world’s largest and most complex, serving over a billion users across urban and rural landscapes. With rampant digitisation and mobile penetration, the vulnerability of telecom networks to cyber threats has grown exponentially. On April 24, 2025, the Ministry of Communications (MOC) released a draft of the “Telecommunications (Telecom Cyber Security) Amendment Rules, 2025,” to update the prior Telecommunications (Telecom Cyber Security) Rules, 2024, to improve cybersecurity in India's telecom industry and fortify network security. Public comments and recommendations regarding these draft rules can be sent to the department by July 24, 2025, after they have been made available for public comment. These rules are enacted under the Telecommunications Act, 2023, to enhance national cybersecurity in the telecom domain. These rules aim to prevent misuse of telecom networks and reinforce data and infrastructure protection mechanisms across service providers.
Safeguarding the Spectrum: Unpacking the 2025 Cybersecurity Revisions
The menace of fraudulent SIM cards deals the issue of cyber threats a fresh hand. The rising number of digital scams can also be attributed to unverified or fake mobile numbers. Fraudulent SIM cards have often been linked to various cybercrimes such as phishing, vishing, SIM swapping and identity theft. The situation has worsened in the face of easy availability of pre-activated SIM cards and weak KYC enforcement. In a recent example, as per reports of June 28, 2025, the Special Task Force (STF) found that the accused was operating a criminal nexus where he utilised fake documents and the Aadhaar credentials of law-abiding locals to activate numerous SIM cards. Following activation, the SIMs were either transferred to other telecom carriers for additional exploitation or sold illegally. This poses a serious concern for the data protection of vulnerable individuals, especially those in rural areas, whose credentials have been compromised.
Given the adverse state of cybersecurity in the telecom industry, the Telecommunications (Telecom Cyber Security) Rules, 2024, were passed on 22nd November, 2024, which put various telecom entities under an obligation to actively prevent cybersecurity threats by adopting such policies that mitigate cybersecurity risks and notify the same to the Central Government. The 2024 Telecom Cybersecurity Rules were a significant step in fortifying India’s telecom infrastructure against cyber threats, but they primarily focused on licensed telecom service providers, leaving behind a large segment of digital platforms operating outside the traditional telecom framework largely unregulated.
Expanding the Net: Key Revisions Under the 2025 Cybersecurity Amendment Rules
The amended rules of 2025 adequately address the regulatory blind spot that is created by the rapid expansion of online services, fintech apps, OTT platforms and social media networks, as these platforms often rely on telecom identifiers such as mobile numbers for user onboarding and service delivery. This regulatory blind spot was exploited for fraud, impersonation and other cybercrimes, especially in the absence of standardised identity verification mechanisms. The proposed regulations would give the government the authority to require private companies’ clients to provide identification if they use a mobile number. For a fee, businesses can also undertake this kind of verification on their own. “ The draft rules introduce a new category called “Telecommunication Identifier User Entities’ (TIUEs), extending cybersecurity compliance obligations to a broad category that now captures any entity using telecom identifiers to deliver digital services. It also creates a unified, government-backed verification framework, enabling better interoperability and uniform user identification norms across sectors.
While strengthening national digital security is the goal of the Telecom Cybersecurity (Amendment) Rules, 2025, the proposed rules create a great deal of uncertainty and compliance difficulties, especially for private digital platforms. A broad definition of Telecommunication Identifier User businesses (TIUEs) may include a variety of businesses, including e-commerce services, fintech apps and OTT platforms, under the purview of required mobile number verification. Given that many platforms already have advanced internal processes in place to verify users, this scope uncertainty creates significant concerns regarding operational clarity.
Conclusion
The Telecommunications (Telecom Cyber Security) Amendment Rules, 2025, represent a necessary evolution in India’s quest to secure its telecom ecosystem amid growing cyber threats. The draft regulations recognise the evolving landscape of digital services by broadening the legal scope to encompass Telecommunication Identifier User Entities (TIUEs). Though the goal of creating a strong, transparent and accountable framework is admirable, more clarification and stakeholder involvement are required due to the scope’s vagueness and the possible compliance burden on digital platforms. A truly durable telecom cybersecurity regime will require striking the correct balance between security, viability and privacy.
References
- https://www.cyberpeace.org/resources/blogs/the-government-enforces-key-sections-of-the-telecommunication-act-2023
- https://www.cyberpeace.org/resources/blogs/govt-notifies-the-telecommunications-telecom-cyber-security-rules-2024
- https://the420.in/uttarakhand-stf-busts-fake-sim-racket-linked-to-cyber-crimes-and-nepal-network/
- https://www.thehindu.com/business/dot-puts-out-draft-rules-to-enable-mobile-user-validation/article69741367.ece
- https://www.scconline.com/blog/post/2025/06/28/dot-telecom-cyber-security-draft-policy-update/

Executive Summary:
New Linux malware has been discovered by a cybersecurity firm Volexity, and this new strain of malware is being referred to as DISGOMOJI. A Pakistan-based threat actor alias ‘UTA0137’ has been identified as having espionage aims, with its primary focus on Indian government entities. Like other common forms of backdoors and botnets involved in different types of cyberattacks, DISGOMOJI, the malware allows the use of commands to capture screenshots, search for files to steal, spread additional payloads, and transfer files. DISGOMOJI uses Discord (messaging service) for Command & Control (C2) and uses emojis for C2 communication. This malware targets Linux operating systems.
The DISCOMOJI Malware:
- The DISGOMOJI malware opens a specific channel in a Discord server and every new channel corresponds to a new victim. This means that the attacker can communicate with the victim one at a time.
- This particular malware connects with the attacker-controlled Discord server using Emoji, a form of relay protocol. The attacker provides unique emojis as instructions, and the malware uses emojis as a feedback to the subsequent command status.
- For instance, the ‘camera with flash’ emoji is used to screenshots the device of the victim or to steal, the ‘fox’ emoji cracks all Firefox profiles, and the ‘skull’ emoji kills the malware process.
- This C2 communication is done using emojis to ensure messaging between infected contacts, and it is almost impossible for Discord to shut down the malware as it can always change the account details of Discord it is using once the maliciou server is blocked.
- The malware also has capabilities aside from the emoji-based C2 such as network probing, tunneling, and data theft that are needed to help the UTA0137 threat actor in achieving its espionage goals.
Specific emojis used for different commands by UTA0137:
- Camera with Flash (📸): Captures a picture of the target device’s screen as per the victim’s directions.
- Backhand Index Pointing Down (👇): Extracts files from the targeted device and sends them to the command channel in the form of attachments.
- Backhand Index Pointing Right (👉): This process involves sending a file found on the victim’s device to another web-hosted file storage service known as Oshi or oshi[. ]at.
- Backhand Index Pointing Left (👈): Sends a file from the victim’s device to transfer[. ]sh, which is an online service for sharing files on the Internet.
- Fire (🔥): Finds and transmits all files with certain extensions that exist on the victim’s device, such as *. txt, *. doc, *. xls, *. pdf, *. ppt, *. rtf, *. log, *. cfg, *. dat, *. db, *. mdb, *. odb, *. sql, *. json, *. xml, *. php, *. asp, *. pl, *. sh, *. py, *. ino, *. cpp, *. java,
- Fox (🦊): This works by compressing all Firefox related profiles in the affected device.
- Skull (💀): Kills the malware process in windows using ‘os. Exit()’
- Man Running (🏃♂️): Execute a command on a victim’s device. This command receives an argument, which is the command to execute.
- Index Pointing up (👆) : Upload a file to the victim's device. The file to upload is attached along with this emoji
Analysis:
The analysis was carried out for one of the indicator of compromised SHA-256 hash file- C981aa1f05adf030bacffc0e279cf9dc93cef877f7bce33ee27e9296363cf002.
It is found that most of the vendors have marked the file as trojan in virustotal and the graph explains the malicious nature of the contacted domains and IPs.


Discord & C2 Communication for UTA0137:
- Stealthiness: Discord is a well-known messaging platform used for different purposes, which means that sending any messages or files on the server should not attract suspicion. Such stealthiness makes it possible for UTA0137 to remain dormant for greater periods before launching an attack.
- Customization: UTA0137 connected to Discord is able to create specific channels for distinct victims on the server. Such a framework allows the attackers to communicate with each of the victims individually to make a process more accurate and efficient.
- Emoji-based protocol: For C2 communication, emojis really complicates the attempt that Discord might make to interfere with the operations of the malware. In case the malicious server gets banned, malware could easily be recovered, especially by using the Discord credentials from the C2 server.
- Persistence: The malware, as stated above, has the ability to perpetually exist to hack the system and withstand rebooting of systems so that the virus can continue to operate without being detected by the owner of the hacked system.
- Advanced capabilities: Other features of DISGOMOJI are the Network Map using Nmap scanner, network tunneling through Chisel and Ligolo and Data Exfiltration by File Sharing services. These capabilities thus help in aiding the espionage goals of UTA0137.
- Social engineering: The virus and the trojan can show the pop-up windows and prompt messages, for example the fake update for firefox and similar applications, where the user can be tricked into inputting the password.
- Dynamic credential fetching: The malware does not write the hardcoded values of the credentials in order to connect it to the discord server. This also inconveniences analysts as they are unable to easily locate the position of the C2 server.
- Bogus informational and error messages: They never show any real information or errors because they do not want one to decipher the malicious behavior easily.
Recommendations to mitigate the risk of UTA0137:
- Regularly Update Software and Firmware: It is essential to regularly update all the application software and firmware of different devices, particularly, routers, to prevent hackers from exploiting the discovered and disclosed flaws. This includes fixing bugs such as CVE-2024-3080 and CVE-2024-3912 on ASUS routers, which basically entails solving a set of problems.
- Implement Multi-Factor Authentication: There are statistics that show how often user accounts are attacked, it is important to incorporate multi-factor authentication to further secure the accounts.
- Deploy Advanced Malware Protection: Provide robust guard that will help the user recognize and prevent the execution of the DISGOMOJI malware and similar threats.
- Enhance Network Segmentation: Utilize stringent network isolation mechanisms that seek to compartmentalize the key systems and data from the rest of the network in order to minimize the attack exposure.
- Monitor Network Activity: Scanning Network hour to hour for identifying and handling the security breach and the tools such as Nmap, Chisel, Ligolo etc can be used.
- Utilize Threat Intelligence: To leverage advanced threats intelligence which will help you acquire knowledge on previous threats and vulnerabilities and take informed actions.
- Secure Communication Channels: Mitigate the problem of the leakage of developers’ credentials and ways of engaging with the discord through loss of contact to prevent abusing attacks or gaining control over Discord as an attack vector.
- Enforce Access Control: Regularly review and update the user authentication processes by adopting stricter access control measures that will allow only the right personnel to access the right systems and information.
- Conduct Regular Security Audits: It is important to engage in security audits periodically in an effort to check some of the weaknesses present within the network or systems.
- Implement Incident Response Plan: Conduct a risk assessment, based on that design and establish an efficient incident response kit that helps in the early identification, isolation, and management of security breaches.
- Educate Users: Educate users on cybersecurity hygiene, opportunities to strengthen affinity with the University, and conduct retraining on threats like phishing and social engineering.
Conclusion:
The new threat actor named UTA0137 from Pakistan who was utilizing DISGOMOJI malware to attack Indian government institutions using embedded emojis with a command line through the Discord app was discovered by Volexity. It has the capability to exfiltrate and aims to steal the data of government entities. The UTA0137 was continuously improved over time to permanently communicate with victims. It underlines the necessity of having strong protection from viruses and hacker attacks, using secure passwords and unique codes every time, updating the software more often and having high-level anti-malware tools. Organizations can minimize advanced threats, the likes of DISGOMOJI and protect sensitive data by improving network segmentation, continuous monitoring of activities, and users’ awareness.
References:
https://otx.alienvault.com/pulse/66712446e23b1d14e4f293eb
https://thehackernews.com/2024/06/pakistani-hackers-use-disgomoji-malware.html?m=1
https://cybernews.com/news/hackers-using-emojis-to-command-malware/
https://www.volexity.com/blog/2024/06/13/disgomoji-malware-used-to-target-indian-government/

Executive Summary
A collage of two images circulating on social media is falsely claiming that the street vendor who served jhalmuri to Prime Minister Narendra Modi during an election campaign in Jhargram was actually a personnel from the Special Protection Group (SPG). Research by the CyberPeace Research Wing found the claim to be false and misleading, indicating that it is being shared as part of election-related misinformation. The vendor and the SPG personnel seen in the viral collage are two different individuals.
Claim
An X (formerly Twitter) user, “@Jeetuburdak,” shared the viral collage on April 21, 2026, with the caption: “Another scam! The jhalmuri seller turned out to be an SPG commando.” The post quickly gained traction online.

Fact Check
A close examination of the two images used in the collage shows clear visual differences between the individuals. The person seen in SPG uniform does not match the street vendor who served food to the prime minister. Reverse image searches were conducted using multiple tools to trace the origin of the images. While no verifiable source was found linking the SPG personnel’s image to the vendor, several credible reports and videos featured the actual jhalmuri seller from the campaign event.
- https://x.com/ANI/status/2045859146508177911?s=20
- https://news24online.com/cities/kolkata/who-is-the-man-that-served-jhalmuri-to-pm-modi-know-his-daily-income-and-what-he-talked-about-with-pm/811123/


According to media reports, the prime minister briefly stopped at a roadside stall during the campaign in Jhargram and interacted with the vendor while enjoying jhalmuri. The vendor was later interviewed by multiple outlets, further confirming his identity as a local seller. Additionally, technical facial comparison analysis using online tools also indicated that the two individuals in the viral collage are not the same person.

Conclusion
The claim that the jhalmuri vendor was an SPG commando is false and misleading. The viral collage shows two different individuals, and there is no evidence to support the allegation.