#FactCheck - Viral Videos of Mutated Animals Debunked as AI-Generated
Executive Summary:
Several videos claiming to show bizarre, mutated animals with features such as seal's body and cow's head have gone viral on social media. Upon thorough investigation, these claims were debunked and found to be false. No credible source of such creatures was found and closer examination revealed anomalies typical of AI-generated content, such as unnatural leg movements, unnatural head movements and joined shoes of spectators. AI material detectors confirmed the artificial nature of these videos. Further, digital creators were found posting similar fabricated videos. Thus, these viral videos are conclusively identified as AI-generated and not real depictions of mutated animals.
Claims:
Viral videos show sea creatures with the head of a cow and the head of a Tiger.
Fact Check:
On receiving several videos of bizarre mutated animals, we searched for credible sources that have been covered in the news but found none. We then thoroughly watched the video and found certain anomalies that are generally seen in AI manipulated images.
Taking a cue from this, we checked all the videos in the AI video detection tool named TrueMedia, The detection tool found the audio of the video to be AI-generated. We divided the video into keyframes, the detection found the depicting image to be AI-generated.
In the same way, we investigated the second video. We analyzed the video and then divided the video into keyframes and analyzed it with an AI-Detection tool named True Media.
It was found to be suspicious and so we analyzed the frame of the video.
The detection tool found it to be AI-generated, so we are certain with the fact that the video is AI manipulated. We analyzed the final third video and found it to be suspicious by the detection tool.
The detection tool found the frame of the video to be A.I. manipulated from which it is certain that the video is A.I. manipulated. Hence, the claim made in all the 3 videos is misleading and fake.
Conclusion:
The viral videos claiming to show mutated animals with features like seal's body and cow's head are AI-generated and not real. A thorough investigation by the CyberPeace Research Team found multiple anomalies in AI-generated content and AI-content detectors confirmed the manipulation of A.I. fabrication. Therefore, the claims made in these videos are false.
- Claim: Viral videos show sea creatures with the head of a cow, the head of a Tiger, head of a bull.
- Claimed on: YouTube
- Fact Check: Fake & Misleading
Related Blogs
In the vast, interconnected cosmos of the internet, where knowledge and connectivity are celebrated as the twin suns of enlightenment, there lurk shadows of a more sinister nature. Here, in these darker corners, the innocence of childhood is not only exploited but also scarred, indelibly and forever. The production, distribution, and consumption of Child Sexual Abuse Material (CSAM) have surged to alarming levels globally, casting a long, ominous shadow over the digital landscape.
In response to this pressing issue, the National Human Rights Commission (NHRC) has unfurled a comprehensive four-part advisory, a beacon of hope aimed at combating CSAM and safeguarding the rights of children in this digital age. This advisory dated 27/10/23 is not merely a reaction to the rising tide of CSAM, but a testament to the imperative need for constant vigilance in the realm of cyber peace.
The statistics paint a sobering picture. In 2021, more than 1,500 instances of publishing, storing, and transmitting CSAM were reported, shedding a harsh light on the scale of the problem. Even more alarming is the upward trend in cases reported in subsequent years. By 2023, a staggering 450,207 cases of CSAM had already been reported, marking a significant increase from the 204,056 and 163,633 cases reported in 2022 and 2021, respectively.
The Key Aspects of Advisory
The NHRC's advisory commences with a fundamental recommendation - a redefinition of terminology. It suggests replacing the term 'Child Pornography' with 'Child Sexual Abuse Material' (CSAM). This shift in language is not merely semantic; it underscores the gravity of the issue, emphasizing that this is not about pornography but child abuse.
Moreover, the advisory calls for the definition of 'sexually explicit' under Section 67B of the IT Act, 2000. This step is crucial for ensuring the prompt identification and removal of online CSAM. By giving a clear definition, law enforcement can act swiftly in removing such content from the internet.
The digital world knows no borders, and CSAM can easily cross jurisdictional lines. NHRC recognizes this challenge and proposes that laws be harmonized across jurisdictions through bilateral agreements. Moreover, it recommends pushing for the adoption of a UN draft Convention on 'Countering the Use of Information and Communications Technologies for Criminal Purposes' at the General Assembly.
One of the critical aspects of the advisory is the strengthening of law enforcement. NHRC advocates for the creation of Specialized State Police Units in every state and union territory to handle CSAM-related cases. The central government is expected to provide support, including grants, to set up and equip these units.
The NHRC further recommends establishing a Specialized Central Police Unit under the government of India's jurisdiction. This unit will focus on identifying and apprehending CSAM offenders and maintaining a repository of such content. Its role is not limited to law enforcement; it is expected to cooperate with investigative agencies, analyze patterns, and initiate the process for content takedown. This coordinated approach is designed to combat the problem effectively, both on the dark web and open web.
The role of internet intermediaries and social media platforms in controlling CSAM is undeniable. The NHRC advisory emphasizes that intermediaries must deploy technology, such as content moderation algorithms, to proactively detect and remove CSAM from their platforms. This places the onus on the platforms to be proactive in policing their content and ensuring the safety of their users.
New Developments
Platforms using end-to-end encryption services may be required to create additional protocols for monitoring the circulation of CSAM. Failure to do so may invite the withdrawal of the 'safe harbor' clause under Section 79 of the IT Act, 2000. This measure ensures that platforms using encryption technology are not inadvertently providing safe havens for those engaged in illegal activities.
NHRC's advisory extends beyond legal and law enforcement measures; it emphasizes the importance of awareness and sensitization at various levels. Schools, colleges, and institutions are called upon to educate students, parents, and teachers about the modus operandi of online child sexual abusers, the vulnerabilities of children on the internet, and the early signs of online child abuse.
To further enhance awareness, a cyber curriculum is proposed to be integrated into the education system. This curriculum will not only boost digital literacy but also educate students about relevant child care legislation, policies, and the legal consequences of violating them.
NHRC recognizes that survivors of CSAM need more than legal measures and prevention strategies. Survivors are recommended to receive support services and opportunities for rehabilitation through various means. Partnerships with civil society and other stakeholders play a vital role in this aspect. Moreover, psycho-social care centers are proposed to be established in every district to facilitate need-based support services and organization of stigma eradication programs.
NHRC's advisory is a resounding call to action, acknowledging the critical importance of protecting children from the perils of CSAM. By addressing legal gaps, strengthening law enforcement, regulating online platforms, and promoting awareness and support, the NHRC aims to create a safer digital environment for children.
Conclusion
In a world where the internet plays an increasingly central role in our lives, these recommendations are not just proactive but imperative. They underscore the collective responsibility of governments, law enforcement agencies, intermediaries, and society as a whole in safeguarding the rights and well-being of children in the digital age.
NHRC's advisory is a pivotal guide to a more secure and child-friendly digital world. By addressing the rising tide of CSAM and emphasizing the need for constant vigilance, NHRC reaffirms the critical role of organizations, governments, and individuals in ensuring cyber peace and child protection in the digital age. The active contribution from premier cyber resilience firms like Cyber Peace Foundation, amplifies the collective action forging a secure digital space, highlighting the pivotal role played by think tanks in ensuring cyber peace and resilience.
References:
- https://www.hindustantimes.com/india-news/nhrc-issues-advisory-regarding-child-sexual-abuse-material-on-internet-101698473197792.html
- https://ssrana.in/articles/nhrcs-advisory-proliferation-of-child-sexual-abuse-material-csam/
- https://theprint.in/india/specialised-central-police-unit-use-of-technology-to-proactively-detect-csam-nhrc-advisory/1822223/
Introduction
Considering the development of technology, Voice cloning schemes are one such issue that has recently come to light. Scammers are moving forward with AI, and their methods and plans for deceiving and scamming people have also altered. Deepfake technology creates realistic imitations of a person’s voice that can be used to conduct fraud, dupe a person into giving up crucial information, or even impersonate a person for illegal purposes. We will look at the dangers and risks associated with AI voice cloning frauds, how scammers operate and how one might protect themselves from one.
What is Deepfake?
Artificial intelligence (AI), known as “deepfake,” can produce fake or altered audio, video, and film that pass for the real thing. The words “deep learning” and “fake” are combined to get the name “deep fake”. Deepfake technology creates content with a realistic appearance or sound by analysing and synthesising diverse volumes of data using machine learning algorithms. Con artists employ technology to portray someone doing something that has never been in audio or visual form. The best example is the American President, who used deep voice impersonation technology. Deep voice impersonation technology can be used maliciously, such as in deep voice fraud or disseminating false information. As a result, there is growing concerned about the potential influence of deep fake technology on society and the need for effective tools to detect and mitigate the hazards it may provide.
What exactly are deepfake voice scams?
Artificial intelligence (AI) is sometimes utilised in deepfake speech frauds to create synthetic audio recordings that seem like real people. Con artists can impersonate someone else over the phone and pressure their victims into providing personal information or paying money by using contemporary technology. A con artist may pose as a bank employee, a government official, or a friend or relative by utilising a deep false voice. It aims to earn the victim’s trust and raise the likelihood that they will fall for the hoax by conveying a false sense of familiarity and urgency. Deep fake speech frauds are increasing in frequency as deep fake technology becomes more widely available, more sophisticated, and harder to detect. In order to avoid becoming a victim of such fraud, it is necessary to be aware of the risks and take appropriate measures.
Why do cybercriminals use AI voice deep fake?
In order to mislead users into providing private information, money, or system access, cybercriminals utilise artificial intelligence (AI) speech-deep spoofing technology to claim to be people or entities. Using AI voice-deep fake technology, cybercriminals can create audio recordings that mimic real people or entities, such as CEOs, government officials, or bank employees, and use them to trick victims into taking activities that are advantageous to the criminals. This can involve asking victims for money, disclosing login credentials, or revealing sensitive information. In phishing assaults, where fraudsters create audio recordings that impersonate genuine messages from organisations or people that victims trust, deepfake AI voice technology can also be employed. These audio recordings can trick people into downloading malware, clicking on dangerous links, or giving out personal information. Additionally, false audio evidence can be produced using AI voice-deep fake technology to support false claims or accusations. This is particularly risky regarding legal processes because falsified audio evidence may lead to wrongful convictions or acquittals. Artificial intelligence voice deep fake technology gives con artists a potent tool for tricking and controlling victims. Every organisation and the general population must be informed of this technology’s risk and adopt the appropriate safety measures.
How to spot voice deepfake and avoid them?
Deep fake technology has made it simpler for con artists to edit audio recordings and create phoney voices that exactly mimic real people. As a result, a brand-new scam called the “deep fake voice scam” has surfaced. In order to trick the victim into handing over money or private information, the con artist assumes another person’s identity and uses a fake voice. What are some ways to protect oneself from deepfake voice scams? Here are some guidelines to help you spot them and keep away from them:
- Steer clear of telemarketing calls
- One of the most common tactics used by deep fake voice con artists, who pretend to be bank personnel or government officials, is making unsolicited phone calls.
- Listen closely to the voice
- Anyone who phones you pretending to be someone else should pay special attention to their voice. Are there any peculiar pauses or inflexions in their speech? Something that doesn’t seem right can be a deep voice fraud.
- Verify the caller’s identity
- It’s crucial to verify the caller’s identity in order to avoid falling for a deep false voice scam. You might ask for their name, job title, and employer when in doubt. You can then do some research to be sure they are who they say they are.
- Never divulge confidential information
- No matter who calls, never give out personal information like your Aadhar, bank account information, or passwords over the phone. Any legitimate companies or organisations will never request personal or financial information over the phone; if they do, it’s a warning sign that they’re a scammer.
- Report any suspicious activities
- Inform the appropriate authorities if you think you’ve fallen victim to a deep voice fraud. This may include your bank, credit card company, local police station, or the nearest cyber cell. By reporting the fraud, you could prevent others from being a victim.
Conclusion
In conclusion, the field of AI voice deep fake technology is fast expanding and has huge potential for beneficial and detrimental effects. While deep fake voice technology has the potential to be used for good, such as improving speech recognition systems or making voice assistants sound more realistic, it may also be used for evil, such as deep fake voice frauds and impersonation to fabricate stories. Users must be aware of the hazard and take the necessary precautions to protect themselves as AI voice deep fake technology develops, making it harder to detect and prevent deep fake schemes. Additionally, it is necessary to conduct ongoing research and develop efficient techniques to identify and control the risks related to this technology. We must deploy AI appropriately and ethically to ensure that AI voice-deep fake technology benefits society rather than harming or deceiving it.
Reference
Executive Summary
A video circulating on social media is being shared with the claim that the Border Security Force (BSF) shot dead a Bangladeshi national who was attempting to infiltrate India through the Tripura border. CyberPeace Research Wing research found the claim to be misleading. The viral video is not related to any recent incident on the Tripura border. It actually shows Haris Nazir Dar, a militant who was killed during an encounter in Jammu and Kashmir’s Kulgam district last year.
Claim:
The viral clip, which is around eight seconds long, shows a body lying on the ground. It is being shared on X with captions suggesting that the deceased was a Bangladeshi infiltrator who was killed while attempting to cross the India-Bangladesh border in Tripura.
https://x.com/ocjain4/status/2066210317265457298
Fact Check:
To verify the claim, we extracted keyframes from the viral video and conducted a reverse image search. During the research, we found matching visuals in a report published by Dainik Bhaskar on August 2, 2025. The report was related to an encounter between security forces and militants in the Akhal forest area of Kulgam district in Jammu and Kashmir. Visuals in the report matched those seen in the viral video.
We also found a report published by India Today on August 2, 2025, which carried photographs of slain militant Haris Nazir Dar taken from a different angle. The report stated that security forces had killed three militants during the operation in the Akhal forest area of Kulgam. https://www.indiatoday.in/india/story/gunfight-underway-with-3-lashkar-terrorists-in-jks-kulgam-2764971-2025-08-01
Conclusion:
The evidence gathered during our research makes it clear that the viral video does not show a Bangladeshi infiltrator killed at the Tripura border. The footage is actually from a security operation in Jammu and Kashmir and shows Haris Nazir Dar, a militant who was killed in an encounter in Kulgam last year.
