#FactCheck - Edited Video Falsely Claims as an attack on PM Netanyahu in the Israeli Senate
Executive Summary:
A viral online video claims of an attack on Prime Minister Benjamin Netanyahu in the Israeli Senate. However, the CyberPeace Research Team has confirmed that the video is fake, created using video editing tools to manipulate the true essence of the original footage by merging two very different videos as one and making false claims. The original footage has no connection to an attack on Mr. Netanyahu. The claim that endorses the same is therefore false and misleading.
Claims:
A viral video claims an attack on Prime Minister Benjamin Netanyahu in the Israeli Senate.
Fact Check:
Upon receiving the viral posts, we conducted a Reverse Image search on the keyframes of the video. The search led us to various legitimate sources featuring an attack on an ethnic Turkish leader of Bulgaria but not on the Prime Minister Benjamin Netanyahu, none of which included any attacks on him.
We used AI detection tools, such as TrueMedia.org, to analyze the video. The analysis confirmed with 68.0% confidence that the video was an editing. The tools identified "substantial evidence of manipulation," particularly in the change of graphics quality of the footage and the breakage of the flow in footage with the change in overall background environment.
Additionally, an extensive review of official statements from the Knesset revealed no mention of any such incident taking place. No credible reports were found linking the Israeli PM to the same, further confirming the video’s inauthenticity.
Conclusion:
The viral video claiming of an attack on Prime Minister Netanyahu is an old video that has been edited. The research using various AI detection tools confirms that the video is manipulated using edited footage. Additionally, there is no information in any official sources. Thus, the CyberPeace Research Team confirms that the video was manipulated using video editing technology, making the claim false and misleading.
- Claim: Attack on the Prime Minister Netanyahu Israeli Senate
- Claimed on: Facebook, Instagram and X(Formerly Twitter)
- Fact Check: False & Misleading
Related Blogs
Executive Summary:
A video gone viral on Facebook claims Union Finance Minister Nirmala Sitharaman endorsed the government’s new investment project. The video has been widely shared. However, our research indicates that the video has been AI altered and is being used to spread misinformation.
Claim:
The claim in this video suggests that Finance Minister Nirmala Sitharaman is endorsing an automotive system that promises daily earnings of ₹15,00,000 with an initial investment of ₹21,000.
Fact Check:
To check the genuineness of the claim, we used the keyword search for “Nirmala Sitharaman investment program” but we haven’t found any investment related scheme. We observed that the lip movements appeared unnatural and did not align perfectly with the speech, leading us to suspect that the video may have been AI-manipulated.
When we reverse searched the video which led us to this DD News live-stream of Sitharaman’s press conference after presenting the Union Budget on February 1, 2025. Sitharaman never mentioned any investment or trading platform during the press conference, showing that the viral video was digitally altered. Technical analysis using Hive moderator further found that the viral clip is Manipulated by voice cloning.
Conclusion:
The viral video on social media shows Union Finance Minister Nirmala Sitharaman endorsing the government’s new investment project as completely voice cloned, manipulated and false. This highlights the risk of online manipulation, making it crucial to verify news with credible sources before sharing it. With the growing risk of AI-generated misinformation, promoting media literacy is essential in the fight against false information.
- Claim: Fake video falsely claims FM Nirmala Sitharaman endorsed an investment scheme.
- Claimed On: Social Media
- Fact Check: False and Misleading
Introduction
AI has transformed the way we look at advanced technologies. As the use of AI is evolving, it also raises a concern about AI-based deepfake scams. Where scammers use AI technologies to create deep fake videos, images and audio to deceive people and commit AI-based crimes. Recently a Kerala man fall victim to such a scam. He received a WhatsApp video call, the scammer impersonated the face of the victim’s known friend using AI-based deep fake technology. There is a need for awareness and vigilance to safeguard ourselves from such incidents.
Unveiling the Kerala deep fake video call Scam
The man in Kerala received a WhatsApp video call from a person claiming to be his former colleague in Andhra Pradesh. In actuality, he was the scammer. He asked for help of 40,000 rupees from the Kerala man via google pay. Scammer to gain the trust even mentioned some common friends with the victim. The scammer said that he is at the Dubai airport and urgently need the money for the medical emergency of his sister.
As AI is capable of analysing and processing data such as facial images, videos, and audio creating a realistic deep fake of the same which closely resembles as real one. In the Kerala Deepfake video call scam the scammer made a video call that featured a convincingly similar facial appearance and voice as same to the victim’s colleague which the scammer was impersonating. The Kerala man believing that he was genuinely communicating with his colleague, transferred the money without hesitation. The Kerala man then called his former colleague on the number he had saved earlier in his contact list, and his former colleague said that he has not called him. Kerala man realised that he had been cheated by a scammer, who has used AI-based deep-fake technology to impersonate his former colleague.
Recognising Deepfake Red Flags
Deepfake-based scams are on the rise, as they pose challenges that really make it difficult to distinguish between genuine and fabricated audio, videos and images. Deepfake technology is capable of creating entirely fictional photos and videos from scratch. In fact, audio can be deepfaked too, to create “voice clones” of anyone.
However, there are some red flags which can indicate the authenticity of the content:
- Video quality- Deepfake videos often have compromised or poor video quality, and unusual blur resolution, which might pose a question to its genuineness.
- Looping videos: Deepfake videos often loop or unusually freeze or where the footage repeats itself, indicating that the video content might be fabricated.
- Verify Separately: Whenever you receive requests for such as financial help, verify the situation by directly contacting the person through a separate channel such as a phone call on his primary contact number.
- Be vigilant: Scammers often possess a sense of urgency leading to giving no time to the victim to think upon it and deceiving them by making a quick decision. So be vigilant and cautious when receiving and entertaining such a sudden emergency which demands financial support from you on an urgent basis.
- Report suspicious activity: If you encounter such activities on your social media accounts or through such calls report it to the platform or to the relevant authority.
Conclusion
The advanced nature of AI deepfake technology has introduced challenges in combatting such AI-based cyber crimes. The Kerala man’s case of falling victim to an AI-based deepfake video call and losing Rs 40,000 serves as an alarming need to remain extra vigilant and cautious in the digital age. So in the reported incident where Kerala man received a call from a person appearing as his former colleague but in actuality, he was a scammer and tricking the victim by using AI-based deepfake technology. By being aware of such types of rising scams and following precautionary measures we can protect ourselves from falling victim to such AI-based cyber crimes. And stay protected from such malicious scammers who exploit these technologies for their financial gain. Stay cautious and safe in the ever-evolving digital landscape.
What are Deepfakes?
A deepfake is essentially a video of a person in which their face or body has been digitally altered so that they appear to be someone else, typically used maliciously or to spread false information. Deepfake technology is a method for manipulating videos, images, and audio utilising powerful computers and deep learning. It is used to generate fake news and commit financial fraud, among other wrongdoings. It overlays a digital composite over an already-existing video, picture, or audio; cybercriminals use Artificial Intelligence technology. The term deepfake was coined first time in 2017 by an anonymous Reddit user, who called himself deepfake.
Deepfakes works on a combination of AI and ML, which makes the technology hard to detect by Web 2.0 applications, and it is almost impossible for a layman to see if an image or video is fake or has been created using deepfakes. In recent times, we have seen a wave of AI-driven tools which have impacted all industries and professions across the globe. Deepfakes are often created to spread misinformation. There lies a key difference between image morphing and deepfakes. Image morphing is primarily used for evading facial recognition, but deepfakes are created to spread misinformation and propaganda.
Issues Pertaining to Deepfakes in India
Deepfakes are a threat to any nation as the impact can be divesting in terms of monetary losses, social and cultural unrest, and actions against the sovereignty of India by anti-national elements. Deepfake detection is difficult but not impossible. The following threats/issues are seen to be originating out of deep fakes:
- Misinformation: One of the biggest issues of Deepfake is misinformation, the same was seen during the Russia-Ukraine conflict, where in a deepfake of Ukraine’s president, Mr Zelensky, surfaced on the internet and caused mass confusion and propaganda-based misappropriation among the Ukrainians.
- Instigation against the Union of India: Deepfake poses a massive threat to the integrity of the Union of India, as this is one of the easiest ways for anti-national elements to propagate violence or instigate people against the nation and its interests. As India grows, so do the possibilities of anti-national attacks against the nation.
- Cyberbullying/ Harassment: Deepfakes can be used by bad actors to harass and bully people online in order to extort money from them.
- Exposure to Illicit Content: Deepfakes can be easily used to create illicit content, and oftentimes, it is seen that it is being circulated on online gaming platforms where children engage the most.
- Threat to Digital Privacy: Deepfakes are created by using existing videos. Hence, bad actors often use photos and videos from Social media accounts to create deepfakes, this directly poses a threat to the digital privacy of a netizen.
- Lack of Grievance Redressal Mechanism: In the contemporary world, the majority of nations lack a concrete policy to address the aspects of deepfake. Hence, it is of paramount importance to establish legal and industry-based grievance redressal mechanisms for the victims.
- Lack of Digital Literacy: Despite of high internet and technology penetration rates in India, digital literacy lags behind, this is a massive concern for the Indian netizens as it takes them far from understanding the tech, which results in the under-reporting of crimes. Large-scale awareness and sensitisation campaigns need to be undertaken in India to address misinformation and the influence of deepfakes.
How to spot deepfakes?
Deepfakes look like the original video at first look, but as we progress into the digital world, it is pertinent to establish identifying deepfakes in our digital routine and netiquettes in order to stay protected in the future and to address this issue before it is too late. The following aspects can be kept in mind while differentiating between a real video and a deepfake
- Look for facial expressions and irregularities: Whenever differentiating between an original video and deepfake, always look for changes in facial expressions and irregularities, it can be seen that the facial expressions, such as eye movement and a temporary twitch on the face, are all signs of a video being a deepfake.
- Listen to the audio: The audio in deepfake also has variations as it is imposed on an existing video, so keep a check on the sound effects coming from a video in congruence with the actions or gestures in the video.
- Pay attention to the background: The most easiest way to spot a deepfake is to pay attention to the background, in all deepfakes, you can spot irregularities in the background as, in most cases, its created using virtual effects so that all deepfakes will have an element of artificialness in the background.
- Context and Content: Most of the instances of deepfake have been focused towards creating or spreading misinformation hence, the context and content of any video is an integral part of differentiating between an original video and deepfake.
- Fact-Checking: As a basic cyber safety and digital hygiene protocol, one should always make sure to fact-check each and every piece of information they come across on social media. As a preventive measure, always make sure to fact-check any information or post sharing it with your known ones.
- AI Tools: When in doubt, check it out, and never refrain from using Deepfake detection tools like- Sentinel, Intel’s real-time deepfake detector - Fake catcher, We Verify, and Microsoft’s Video Authenticator tool to analyze the videos and combating technology with technology.
Recent Instance
A deepfake video of actress Rashmika Mandanna recently went viral on social media, creating quite a stir. The video showed a woman entering an elevator who looked remarkably like Mandanna. However, it was later revealed that the woman in the video was not Mandanna, but rather, her face was superimposed using AI tools. Some social media users were deceived into believing that the woman was indeed Mandanna, while others identified it as an AI-generated deepfake. The original video was actually of a British-Indian girl named Zara Patel, who has a substantial following on Instagram. This incident sparked criticism from social media users towards those who created and shared the video merely for views, and there were calls for strict action against the uploaders. The rapid changes in the digital world pose a threat to personal privacy; hence, caution is advised when sharing personal items on social media.
Legal Remedies
Although Deepfake is not recognised by law in India, it is indirectly addressed by Sec. 66 E of the IT Act, which makes it illegal to capture, publish, or transmit someone's image in the media without that person's consent, thus violating their privacy. The maximum penalty for this violation is ₹2 lakh in fines or three years in prison. The DPDP Act's applicability in 2023 means that the creation of deepfakes will directly affect an individual's right to digital privacy and will also violate the IT guidelines under the Intermediary Guidelines, as platforms will be required to exercise caution while disseminating and publishing misinformation through deepfakes. The indirect provisions of the Indian Penal Code, which cover the sale and dissemination of derogatory publications, songs and actions, deception in the delivery of property, cheating and dishonestly influencing the delivery of property, and forgery with the intent to defame, are the only legal remedies available for deepfakes. Deep fakes must be recognized legally due to the growing power of misinformation. The Data Protection Board and the soon-to-be-established fact-checking body must recognize crimes related to deepfakes and provide an efficient system for filing complaints.
Conclusion
Deepfake is an aftermath of the advancements of Web 3.0 and, hence is just the tip of the iceberg in terms of the issues/threats from emerging technologies. It is pertinent to upskill and educate the netizens about the keen aspects of deepfakes to stay safe in the future. At the same time, developing and developed nations need to create policies and laws to efficiently regulate deepfake and to set up redressal mechanisms for victims and industry. As we move ahead, it is pertinent to address the threats originating out of the emerging techs and, at the same time, create a robust resilience for the same.
