#FactCheck: Israel Apologizes to Iran’ Video Is AI-Generated
Executive Summary:
A viral video claiming to show Israelis pleading with Iran to "stop the war" is not authentic. As per our research the footage is AI-generated, created using tools like Google’s Veo, and not evidence of a real protest. The video features unnatural visuals and errors typical of AI fabrication. It is part of a broader wave of misinformation surrounding the Israel-Iran conflict, where AI-generated content is widely used to manipulate public opinion. This incident underscores the growing challenge of distinguishing real events from digital fabrications in global conflicts and highlights the importance of media literacy and fact-checking.
Claim:
A X verified user with the handle "Iran, stop the war, we are sorry" posted a video featuring people holding placards and the Israeli flag. The caption suggests that Israeli citizens are calling for peace and expressing remorse, stating, "Stop the war with Iran! We apologize! The people of Israel want peace." The user further claims that Israel, having allegedly initiated the conflict by attacking Iran, is now seeking reconciliation.
Fact Check:
The bottom-right corner of the video displays a "VEO" watermark, suggesting it was generated using Google's AI tool, VEO 3. The video exhibits several noticeable inconsistencies such as robotic, unnatural speech, a lack of human gestures, and unclear text on the placards. Additionally, in one frame, a person wearing a blue T-shirt is seen holding nothing, while in the next frame, an Israeli flag suddenly appears in their hand, indicating possible AI-generated glitches.
We further analyzed the video using the AI detection tool HIVE Moderation, which revealed a 99% probability that the video was generated using artificial intelligence technology. To validate this finding, we examined a keyframe from the video separately, which showed an even higher likelihood of 99% probability of being AI generated. These results strongly indicate that the video is not authentic and was most likely created using advanced AI tools.
Conclusion:
The video is highly likely to be AI-generated, as indicated by the VEO watermark, visual inconsistencies, and a 99% probability from HIVE Moderation. This highlights the importance of verifying content before sharing, as misleading AI-generated media can easily spread false narratives.
- Claim: AI generated video of Israelis saying "Stop the War, Iran We are Sorry".
- Claimed On: Social Media
- Fact Check:AI Generated Mislead
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Introduction
India’s new Policy for Data Sharing from the National Transport Repository (NTR) released by the Ministry of Road Transport and Highways (MoRTH) in August, 2025, can be seen as a constitutional turning point and a milestone in administrative efficiency. The state has established an unprecedentedly large unified infrastructure by combining the records of 390 million vehicles, 220 million driver’s licenses, and the streams from the e-challan, e-DAR, and FASTag systems. Its supporters hail its promise of private-sector innovation, data-driven research, and smooth governance. However, there is a troubling paradox beneath this facade of advancement: the very structures intended to improve citizen mobility may simultaneously strengthen widespread surveillance. Without strict protections, the NTR runs the risk of violating the constitutional trifecta of need, proportionality, and legality as stated in Puttaswamy v. UOI, which brings to light important issues at the nexus of liberty, law, and data.
The other pertinent question to be addressed is as India unifies one of its comprehensive datasets on citizen mobility the question becomes more pressing: while motorised citizens are now in the spotlight for accountability, what about the millions of other datasets that are still dispersed, unregulated, and shared inconsistently in the areas of health, education, telecom, and welfare?
The Legal Backdrop
MoRTH grounds its new policy in Sections 25A and 62B of the Motor Vehicles Act, 1988. Data is consolidated into a single repository since states are required by Section 136A to electronically monitor road safety. According to the policy, it complies with the Digital Personal Data Protection Act, 2023.
The DPDP Act itself, however, is rife with state exclusions, particularly Sections 7 and 17, which give government organisations access to personal information for “any function under any law” or for law enforcement purposes. This is where the constitutional issue lies. Prior judicial supervision, warrants, or independent checks are not necessary. With legislative approval, MoRTH is essentially creating a national vehicle database without any constitutional protections.
Data, Domination and the New Privacy Paradigm
As an efficiency and governance reform, VAHAN, SARATHI, e-challan, eDAR, and FASTag are being consolidated into a single National Transport Repository (NTR). However, centralising extensive mobility and identity-linked records on a large scale is more than just a technical advancement; it also changes how the state and private life interact. The NTR must therefore be interpreted through a more comprehensive privacy paradigm, one that acknowledges that data aggregation is a means of enhancing administrative capacity and has the potential to develop into a long-lasting tool of social control and surveillance unless both technological and constitutional restrictions are placed at the same time.
Two recent doctrinal developments sharpen this concern. First, the Supreme Court’s foundational ruling that privacy is a fundamental right remains the constitutional lodestar, any state interference must satisfy legality, necessity and proportionality (KS Puttaswamy & Anr. vs UOI). Second, as seen by the court’s most recent refusals to normalise ongoing, warrantless location monitoring, such as the ruling overturning bail requirements that required accused individuals to provide a Google maps pin, as movement tracking necessitates closer examination (Frank Vitus v. Narcotics Control Bureau & Ors.,).When taken as a whole, these authorities maintain that unrestricted, ongoing access to mobility and toll-transaction records is a constitutional issue and cannot be handled as an administrative convenience.
Structural Fault Lines in the NTR Framework
Fundamentally, the NTR policy generates structural vulnerabilities by providing nearly unrestricted access through APIs and even mass transfers on physical media to a broad range of parties, including insurance companies, law enforcement, and intelligence services. This design undermines constitutional protections in three ways: first, it makes it possible to draw conclusions about private life patterns that the Supreme Court has identified as one of the most sensitive data categories by exposing rich mobility trails like FASTag logs and vehicle-linked identities; Second, it allows bulk datasets to circulate outside the ministry’s custodial boundary, which creates the possibility of function creep, secondary use, and monetisation risks reminiscent of the bulk sharing regime that the government itself once abandoned; and third, it introduces coercive exclusion by tying private sector access to Aadhaar-based OTP consent.
Reference
Introduction
Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.
What is voice cloning?
To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology.
Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration
AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.
Technical Analysis
To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.
- Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
- Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
- Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
- Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
- Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.
Conclusion
It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks.
References:
- https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
- https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
- https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
- https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724
Introduction
In the advanced age of digitalization, the user base of Android phones is high. Our phones have become an integral part of our daily life activities from making online payments, booking cabs, playing online games, booking movie & show tickets, conducting online business activities, social networking, emailing and communication, we utilize our mobile phone devices. The Internet is easily accessible to everyone and offers various convenient services to users. People download various apps and utilize various services on the internet using their Android devices. Since it offers convenience, but in the growing digital landscape, threats and vulnerabilities have also emerged. Fraudsters find the vulnerabilities and target the users. Recently, various creepy online scams such as AI-based scams, deepfake scams, malware, spyware, malicious links leading to financial frauds, viruses, privacy breaches, data leakage, etc. have been faced by Android mobile users. Android mobile devices are more prone to vulnerabilities as compared to iOS. However, both Android and iOS platforms serve to provide safer digital space to mobile users. iOS offers more security features. but we have to play our part and be careful. There are certain safety measures which can be utilised by users to be safe in the growing digital age.
User Responsibility:
Law enforcement agencies have reported that they have received a growing number of complaints showing malware being used to compromise Android mobile devices. Both the platforms, Android and Google, have certain security mechanisms in place. However, cybersecurity experts emphasize that users must actively take care of safeguarding their mobile devices from evolving online threats. In this era of evolving cyber threats, being precautious and vigilant and personal responsibility for digital security is paramount.
Being aware of evolving scams
- Deepfake Scams: Deepfake is an AI-based technology. Deepfake is capable of creating realistic images or videos which in actuality are created by machine algorithms. Deepfake technology, since easily accessible, is misused by fraudsters to commit various cyber crimes or deceive and scam people through fake images or videos that look realistic. By using the Deepfake technology, cybercriminals manipulate audio and video content which looks very realistic but, in actuality, is fake.
- Voice cloning: To create a voice clone of anyone's, audio can be deepfaked too, which closely resembles a real one but, in actuality, is a fake voice created through deepfake technology. Recently, in Kerala, a man fell victim to an AI-based video call on WhatsApp. He received a video call from a person claiming to be his former colleague. The scammer, using AI deepfake technology, impersonated the face of his former colleague and asked for financial help of 40,000.
- Stalkerware or spyware: Stalkware or spyware is one of the serious threats to individual digital safety and personal information. Stalkware is basically software installed into your device without your consent or knowledge in order to track your activities and exploit your data. Stalkware, also referred to as spyware, is a type of malicious software secretly installed on your device without your knowledge. Its purpose is to track you or monitor your activities and record sensitive information such as passwords, text messages, GPS location, call history and access to your photos and videos. Cybercriminals and stalkers use this malicious software to unauthorisedly gain access to someone's phone devices.
Best practices or Cyber security tips:
- Keep your software up to date: Turn on automatic software updates for your device and make sure your mobile apps are up to date.
- Using strong passwords: Use strong passwords on your lock/unlock and on important apps on your mobile device.
- Using 2FA or multi-factor authentication: Two-factor authentication or multi-factor authentication provides extra layers of security. Be cautious before clicking on any link and downloading any app or file: Users are often led to click on malicious online links. Scammers may present such links to users through false advertisements on social media platforms, payment processes for online purchases, or in phone text messages. Through the links, victims are led either to phishing sites to give away personal data or to download harmful Android Package Kit (APK) files used to distribute and install apps on Android mobile phones.
- Secure Payments: Do not open any malicious links. Always make payments from secure and trusted payment apps. Use strong passwords for your payment apps as well. And secure your banking credentials.
- Safe browsing: Pay due care and attention while clicking on any link and downloading content. Ignore the links or attachments of suspicious emails which are from an unknown sender.
- Do not download third-party apps: Using an APK file to download a third-party app to an Android device is commonly known as sideloading. Be cautious and avoid downloading apps from third-party or dubious sites. Doing so may lead to the installation of malware in the device, which in turn may result in confidential and sensitive data such as banking credentials being stolen. Always download apps only from the official app store.
- App permissions: Review app permission and only grant permission which is necessary to use that app.
- Do not bypass security measures: Android offers more flexibility in the mobile operating system and in mobile settings. For example, sideloading of apps is disabled by default, and alerts are also in place to warn users. However, an unwitting user who may not truly understand the warnings may simply grant permission to an app to bypass the default setting.
- Monitoring: Regularly monitor your devices and system logs for security check-ups and for detecting any suspicious activity.
- Reporting online scams: A powerful resource available to victims of cybercrime is the National Cyber Crime Reporting Portal, equipped with a 24x7 helpline number, 1930. This portal serves as a centralized platform for reporting cybercrimes, including financial fraud.
Conclusion:
The era of digitalisation has transformed our lives, with Android phones becoming an integral part of our daily routines. While these devices offer convenience, they also expose us to online threats and vulnerabilities, such as scams like deepfake technology-based scams, voice clones, spyware, malware, and malicious links that can lead to significant financial and privacy breaches. Android devices might be more susceptible to such scams. By being aware of emerging scams like deepfakes, spyware, and other malicious activities, we can take proactive steps to safeguard our digital lives. Our mobile devices remain as valuable assets for us. However, they are also potential targets for cybercriminals. Users must remain proactive in protecting their devices and personal data from potential threats. By taking personal responsibility for our digital security and following these best practices, we can navigate the digital landscape with confidence, ensuring that our Android phones remain powerful tools for convenience and connection while keeping our data and privacy intact and staying safe from online threats and vulnerabilities.
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