#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
The Ministry of Electronics and Information Technology ( MeitY) through its Information Security Education & Awareness ( ISEA ) came up with an advisory regarding the growing cases of e-challan fraud. Cybercriminals are exploiting the beliefs of individuals by attracting them into clicking malicious links under the impression of paying traffic fines. Cybercriminals employ sending phishing messages and impersonating official e-challan notifications as a primary method. These messages are crafted in such a way that portrays a sense of urgency, provoking individuals to click on a link for spontaneous payment. For building trust, the messages are deviously created by scammers depicting official communication, which in actuality are fake messages targeting individuals for committing online financial fraud.
Unveiling the E-Challan Scam
Scammers send a text message to your phones that closely resembles e-challan alerts. The text appears from the traffic police, informing the netizens of a traffic violation that requires a fine payment. These messages contain a link and a text message urging the recipient to settle the fine by clicking on the links to make the payment. Scammers have started trapping innocent individuals through such fake messages. These scammers are creating and sending fake messages that look like traffic challan alert messages. However, it is a completely deceptive and fake message. Such messages contain malicious links to fake website, leading users to visit the fake website and enter their bank account details, or make the payment which ultimately leads to financial loss to victims. Cyber scammers have meticulously copied the format used by the traffic authorities however a close examination can help us spot the trap. The modus operandi of such type of scam is to get the targeted individuals to click on a malicious link for payment of traffic e-challan. Once you click on such malicious payment link to pay for the e-challan the individuals unknowingly will end up paying the cyber criminals instead of the police in a bid to discharge the traffic e-challan.
How to spot a fake E-Challan?
- Verify the Vehicle Number: Make sure that the vehicle number mentioned in the message matches your vehicle’s number. Cross-check this information with your vehicle’s number plate or the smart card ( blue book) issued by the Regional Transport Office ( RTO).
- Verify the E-challan Number: Verify the validity of the e-challan number by logging into the official traffic police website or app. Legitimate e-challans will have a corresponding record that can be cross-checked for authenticity. The challan number can be verified by logging in to the official e-challan website. It is always advisable to Visit the official government website to check if you have actually been fined.
- Inspect the Message Content: Give attention to the language inculcated in the message. Hackers' messages may contain grammatical errors or unusual phrases. For example, cybercriminals might encourage victims to visit the RTO office in person. Trying to build up confidence among the victims. Also, it is important that you do not make such payments in haste. Vehicle owners must check such messages carefully before clicking on any link.
Best Practices to Stay Safe
- Be aware of unbidden messages: Be cautious when you receive unsolicited e- challan notifications. Abstain yourself by clicking on links or downloading attachments from unknown sources.
- Always stick to legitimate or official websites: The scammers use links which look similar to the official link, and a casual glance can miss the difference. Hence it is strictly advisable to visit the official websites only. Also do note that government websites will always have the domain '.gov.in'. The official website of Traffic Challan is https://echallan.parivahan.gov.in/
- Get it cross-checked through official channels: Always cross-check the authenticity of an e-challan by directly accessing official channels, such as the official traffic police website or application.
- Connect with the RTO directly: If in doubt, independently connect with the Regional Transport Office ( RTO) using official contact details to verify the authenticity of the e-challan. It is best not to solely rely on information received from suspicious messages.
- Software update: Make sure that your device’s security software is up to date to protect against malware and phishing scams.
Conclusion:
Cybercriminals are exploiting the fear of traffic fines to trick individuals into clicking on malicious links and revealing their personal and financial information. These scams can lead to significant financial losses for the victims. To stay safe, it is important to be cautious of unsolicited messages, verify the authenticity of e-challans through official channels, and avoid clicking on links or downloading attachments from unknown sources. Awareness is the first line of defence in the evolving landscape of online threats.
References:
- https://economictimes.indiatimes.com/news/new-updates/ahmedabad-residents-duped-out-of-lakhs-in-e-challan-scam-cops-arrest-jharkhand-man/articleshow/103528317.cms
- https://economictimes.indiatimes.com/wealth/save/new-traffic-e-challan-fraud-heres-how-to-identify-scam-messages-and-avoid-getting-duped/articleshow/104960817.cms
- https://www.ndtv.com/india-news/explained-the-new-e-challan-scam-how-we-can-escape-it-4342129

What are Decentralised Autonomous Organizations (DAOs)?
A Decentralised Autonomous Organisation or a DAO, is a unique take on democracy on the blockchain. It is a set of rules encoded into a self-executing contract (also known as a smart contract) that operates autonomously on a blockchain system. A DAO imitates a traditional company, although, in its more literal sense, it is a contractually created entity. In theory, DAOs have no centralised authority in making decisions for the system; it is a communally run system whereby all decisions (be it for internal governance or for the development of the blockchain system) are voted upon by the community members. DAOs are primarily characterised by a decentralised form of operation, where there is no one entity, group or individual running the system. They are self-sustaining entities, having their own currency, economy and even governance, that do not depend on a group of individuals to operate. Blockchain systems, especially DAOs are characterised by pure autonomy created to evade external coercion or manipulation from sovereign powers. DAOs follow a mutually created, agreed set of rules created by the community, that dictates all actions, activities, and participation in the system’s governance. There may also be provisions that regulate the decision-making power of the community.
Ethereum’s DAO’s White Paper described DAO as “The first implementation of a [DAO Entity] code to automate organisational governance and decision making.” Can be used by individuals working together collaboratively outside of a traditional corporate form. It can also be used by a registered corporate entity to automate formal governance rules contained in corporate bylaws or imposed by law.” The referred white paper proposes an entity that would use smart contracts to solve governance issues inherent in traditional corporations. DAOs attempt to redesign corporate governance with blockchain such that contractual terms are “formalised, automated and enforced using software.”
Cybersecurity threats under DAOs
While DAOs offer increased transparency and efficiency, they are not immune to cybersecurity threats. Cybersecurity risks in DAO, primarily in governance, stem from vulnerabilities in the underlying blockchain technology and the DAO's smart contracts. Smart contract exploits, code vulnerabilities, and weaknesses in the underlying blockchain protocol can be exploited by malicious actors, leading to unauthorised access, fund manipulations, or disruptions in the governance process. Additionally, DAOs may face challenges related to phishing attacks, where individuals are tricked into revealing sensitive information, such as private keys, compromising the integrity of the governance structure. As DAOs continue to evolve, addressing and mitigating cybersecurity threats is crucial to ensuring the trust and reliability of decentralised governance mechanisms.
Centralisation/Concentration of Power
DAOs today actively try to leverage on-chain governance, where any governance votes or transactions are directly taken on the blockchain. But such governance is often plutocratic in nature, where the wealthy hold influences, rather than democracies, since those who possess the requisite number of tokens are only allowed to vote and each token staked implies that many numbers of votes emerge from the same individual. This concentration of power in the hands of “whales” often creates disadvantages for the newer entrants into the system who may have an in-depth background but lack the funds to cast a vote. Voting, presently in the blockchain sphere, lacks the requisite concept of “one man, one vote” which is critical in democratic societies.
Smart contract vulnerabilities and external threats
Smart contracts, self-executing pieces of code on a blockchain, are integral to decentralised applications and platforms. Despite their potential, smart contracts are susceptible to various vulnerabilities such as coding errors, where mistakes in the code can lead to funds being locked or released erroneously. Some of them have been mentioned as follows;
Smart Contracts are most prone to re-entrance attacks whereby an untrusted external code is allowed to be executed in a smart contract. This scenario occurs when a smart contract invokes an external contract, and the external contract subsequently re-invokes the initial contract. This sequence of events can lead to an infinite loop, and a reentrancy attack is a tactic exploiting this vulnerability in a smart contract. It enables an attacker to repeatedly invoke a function within the contract, potentially creating an endless loop and gaining unauthorised access to funds.
Additionally, smart contracts are also prone to oracle problems. Oracles refer to third-party services or mechanisms that provide smart contracts with real-world data. Since smart contracts on blockchain networks operate in a decentralised, isolated environment, they do not have direct access to external information, such as market prices, weather conditions, or sports scores. Oracles bridge this gap by acting as intermediaries, fetching and delivering off-chain data to smart contracts, enabling them to execute based on real-world conditions. The oracle problem within blockchain pertains to the difficulty of securely incorporating external data into smart contracts. The reliability of external data poses a potential vulnerability, as oracles may be manipulated or provide inaccurate information. This challenge jeopardises the credibility of blockchain applications that rely on precise and timely external data.
Sybil Attack: A Sybil attack involves a single node managing multiple active fake identities, known as Sybil identities, concurrently within a peer-to-peer network. The objective of such an attack is to weaken the authority or influence within a trustworthy system by acquiring the majority of control in the network. The fake identities are utilised to establish and exert this influence. A successful Sybil attack allows threat actors to perform unauthorised actions in the system.
Distributed Denial of Service Attacks: A Distributed Denial of Service (DDoS) attack is a malicious attempt to disrupt the regular functioning of a network, service, or website by overwhelming it with a flood of traffic. In a typical DDoS attack, multiple compromised computers or devices, often part of a botnet (a network of infected machines controlled by a single entity), are used to generate a massive volume of requests or data traffic. The targeted system becomes unable to respond to legitimate user requests due to the excessive traffic, leading to a denial of service.
Conclusion
Decentralised Autonomous Organisations (DAOs) represent a pioneering approach to governance on the blockchain, relying on smart contracts and community-driven decision-making. Despite their potential for increased transparency and efficiency, DAOs are not immune to cybersecurity threats. Vulnerabilities in smart contracts, such as reentrancy attacks and oracle problems, pose significant risks, and the concentration of voting power among wealthy token holders raises concerns about democratic principles. As DAOs continue to evolve, addressing these challenges is essential to ensuring the resilience and trustworthiness of decentralised governance mechanisms. Efforts to enhance security measures, promote inclusivity, and refine governance models will be crucial in establishing DAOs as robust and reliable entities in the broader landscape of blockchain technology.
References:
https://www.imperva.com/learn/application-security/sybil-attack/
https://www.linkedin.com/posts/satish-kulkarni-bb96193_what-are-cybersecurity-risk-to-dao-and-how-activity-7048286955645677568-B3pV/ https://www.geeksforgeeks.org/what-is-ddosdistributed-denial-of-service/ Report of Investigation Pursuant to Section 21 (a) of the Securities Exchange Act of 1934: The DAO, Securities and Exchange Board, Release No. 81207/ July 25, 2017
https://www.sec.gov/litigation/investreport/34-81207.pdf https://www.legalserviceindia.com/legal/article-10921-blockchain-based-decentralized-autonomous-organizations-daos-.html

Introduction
According to a shocking report, there are multiple scam loan apps on the App Store in India that charge excessive interest rates and force users to pay by blackmailing and harassing them. Apple has prohibited and removed these apps from the App Store, but they may still be installed on your iPhone and running. You must delete any of these apps if you have downloaded them. Learn the names of these apps and how they operated the fraud.
Why Apple banned these apps?
- Apple has taken action to remove certain apps from the Indian App Store. These apps were engaging in unethical behaviour, such as impersonating financial institutions, demanding high fees, and threatening borrowers. Here are the titles of these apps, as well as what Apple has said about their suspension.
- Following user concerns, Apple removed six loan apps from the Indian App Store. Loan apps include White Kash, Pocket Kash, Golden Kash, Ok Rupee, and others.
- According to multiple user reviews, certain apps seek unjustified access to users’ contact lists and media. These apps also charge exorbitant fees that are not necessitated. Furthermore, companies have been found to engage in unethical tactics such as charging high-interest rates and “processing fees” equal to half the loan amount.
- Some lending app users have reported being harassed and threatened for failing to return their loans on time. In some circumstances, the apps threatened the user’s contacts if payment was not completed by the deadline. According to one user, the app company threatened to produce and send false photographs of her to her contacts.
- These loan apps were removed from the App Store, according to Apple, because they broke the norms and standards of the Apple Developer Program License Agreement. These apps were discovered to be falsely claiming financial institution connections.
Issue of Fake loan apps on the App Store
- The App Store and our App Review Guidelines are designed to ensure we provide our users with the safest experience possible,” Apple explained. “We do not tolerate fraudulent activity on the App Store and have strict rules against apps and developers who attempt to game the system.
- In 2022, Apple blocked nearly $2 billion in fraudulent App Store sales. Furthermore, it rejected nearly 1.7 million software submissions that did not match Apple’s quality and safety criteria and cancelled 428,000 developer accounts due to suspected fraudulent activities.
- The scammers also used heinous tactics to force the loanees to pay. According to reports, the scammers behind the apps gained access to the user’s contact list as well as their images. They would morph the images and then scare the individual by sharing their fake nude photos with their whole contact list.
Dangerous financial fraud apps have surfaced on the App Store
- TechCrunch acquired a user review from one of these apps. “I borrowed an amount in a helpless situation, and a day before the repayment due date, I got some messages with my picture and my contacts in my phone saying that repay your loan or they will inform our contacts that you are not paying the loan,” it said.
- Sandhya Ramesh, a journalist from The Print, recently tweeted a screenshot of a direct message she got. A victim’s friend told a similar story in the message.
- TechCrunch contacted Apple, who confirmed that the apps had been removed from the App Store for breaking the Apple Developer Program License Agreement and guidelines.
Conclusion
Recently, some users have claimed that some quick-loan applications, such as White Kash, Pocket Kash, and Golden Kash, have appeared on the Top Finance applications chart in recent days. These apps necessitate unauthorised and intrusive access to users’ contact lists and media. According to hundreds of user evaluations, these apps charged exorbitantly high and useless fees. They used unscrupulous techniques such as demanding “processing fees” equal to half the loan amount and charging high-interest rates. Users were also harassed and threatened with restitution. If payments were not made by the due date, the lending applications threatened to notify users’ contacts. According to one user, the app provider even threatened to generate phoney nude images of her and send them to her contacts.