#FactCheck - Old Video Misleadingly Claimed as Footage of Iranian President Before Crash

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.

Introduction

Deepfakes are artificial intelligence (AI) technology that employs deep learning to generate realistic-looking but phoney films or images. Algorithms use large volumes of data to analyse and discover patterns in order to provide compelling and realistic results. Deepfakes use this technology to modify movies or photos to make them appear as if they involve events or persons that never happened or existed.The procedure begins with gathering large volumes of visual and auditory data about the target individual, which is usually obtained from publicly accessible sources such as social media or public appearances. This data is then utilised for training a deep-learning model to resemble the target of deep fakes.

Recent Cases of Deepfakes-‍

‍
In an unusual turn of events, a man from northern China became the victim of a sophisticated deep fake technology. This incident has heightened concerns about using artificial intelligence (AI) tools to aid financial crimes, putting authorities and the general public on high alert.
During a video conversation, a scammer successfully impersonated the victim’s close friend using AI-powered face-swapping technology. The scammer duped the unwary victim into transferring 4.3 million yuan (nearly Rs 5 crore). The fraud occurred in Baotou, China.

AI ‘deep fakes’ of innocent images fuel spike in sextortion scams
Artificial intelligence-generated “deepfakes” are fuelling sextortion frauds like a dry brush in a raging wildfire. According to the FBI, the number of nationally reported sextortion instances came to 322% between February 2022 and February 2023, with a notable spike since April due to AI-doctored photographs. And as per the FBI, innocent photographs or videos posted on social media or sent in communications can be distorted into sexually explicit, AI-generated visuals that are “true-to-life” and practically hard to distinguish. According to the FBI, predators often located in other countries use doctored AI photographs against juveniles to compel money from them or their families or to obtain actual sexually graphic images.

Deepfake Applications

• Lensa AI.
• Deepfakes Web.
• Reface.
• MyHeritage.
• DeepFaceLab.
• Deep Art.
• Face Swap Live.
• FaceApp.

Deepfake examples

There are numerous high-profile Deepfake examples available. Deepfake films include one released by actor Jordan Peele, who used actual footage of Barack Obama and his own imitation of Obama to convey a warning about Deepfake videos.
A video shows Facebook CEO Mark Zuckerberg discussing how Facebook ‘controls the future’ with stolen user data, most notably on Instagram. The original video is from a speech he delivered on Russian election meddling; only 21 seconds of that address were used to create the new version. However, the vocal impersonation fell short of Jordan Peele’s Obama and revealed the truth.

The dark side of AI-Generated Misinformation

• Misinformation generated by AI-generated the truth, making it difficult to distinguish fact from fiction.
• People can unmask AI content by looking for discrepancies and lacking the human touch.
• AI content detection technologies can detect and neutralise disinformation, preventing it from spreading.

Safeguards against Deepfakes-

Technology is not the only way to guard against Deepfake videos. Good fundamental security methods are incredibly effective for combating Deepfake.For example, incorporating automatic checks into any mechanism for disbursing payments might have prevented numerous Deepfake and related frauds. You might also:

• Regular backups safeguard your data from ransomware and allow you to restore damaged data.
• Using different, strong passwords for different accounts ensures that just because one network or service has been compromised, it does not imply that others have been compromised as well. You do not want someone to be able to access your other accounts if they get into your Facebook account.
• To secure your home network, laptop, and smartphone against cyber dangers, use a good security package such as Kaspersky Total Security. This bundle includes anti-virus software, a VPN to prevent compromised Wi-Fi connections, and webcam security.

What is the future of Deepfake –

Deepfake is constantly growing. Deepfake films were easy to spot two years ago because of the clumsy movement and the fact that the simulated figure never looked to blink. However, the most recent generation of bogus videos has evolved and adapted.
There are currently approximately 15,000 Deepfake videos available online. Some are just for fun, while others attempt to sway your opinion. But now that it only takes a day or two to make a new Deepfake, that number could rise rapidly.

Conclusion-

The distinction between authentic and fake content will undoubtedly become more challenging to identify as technology advances. As a result, experts feel it should not be up to individuals to discover deep fakes in the wild. “The responsibility should be on the developers, toolmakers, and tech companies to create invisible watermarks and signal what the source of that image is,” they stated. Several startups are also working on approaches for detecting deep fakes.

Introduction

The Indian government has introduced initiatives to enhance data sharing between law enforcement and stakeholders to combat cybercrime. Union Home Minister Amit Shah has launched the Central Suspect Registry, Cyber Fraud Mitigation Center, Samanvay Platform and Cyber Commandos programme on the Indian Cyber Crime Coordination Centre (I4C) Foundation Day celebration took place on the 10th September 2024 at Vigyan Bhawan, New Delhi. The ‘Central Suspect Registry’ will serve as a central-level database with consolidated data on cybercrime suspects nationwide. The Indian Cyber Crime Coordinating Center will share a list of all repeat offenders on their servers. Shri Shah added that the Suspect Registry at the central level and connecting the states with it will help in the prevention of cybercrime.

Key Highlights of Central Suspect Registry

The Indian Cyber Crime Coordination Centre (I4C) has established the suspect registry in collaboration with banks and financial intermediaries to enhance fraud risk management in the financial ecosystem. The registry will serve as a central-level database with consolidated data on cybercrime suspects. Using data from the National Cybercrime Reporting Portal (NCRP), the registry makes it possible to identify cybercriminals as potential threats.

Central Suspect Registry Need of the Hour

The Union Home Minister of India, Shri Shah, has emphasized the need for a national Cyber Suspect Registry to combat cybercrime. He argued that having separate registries for each state would not be effective, as cybercriminals have no boundaries. He emphasized the importance of connecting states to this platform, stating it would significantly help prevent future cyber crimes.

CyberPeace Outlook

There has been an alarming uptick in cybercrimes in the country highlighting the need for proactive approaches to counter the emerging threats. The recently launched initiatives under the umbrella of the Indian Cyber Crime Coordination Centre will serve as significant steps taken by the centre to improve coordination between law enforcement agencies, strengthen user awareness, and offer technical capabilities to target cyber criminals and overall aim to combat the growing rate of cybercrime in the country.

References:

1. https://pib.gov.in/PressReleaseIframePage.aspx?PRID=2053438

‍