#FactCheck - Viral Video Claiming Snowfall Near Ambience Mall in Gurugram Is Misleading

Introduction:

A new Android malware called NGate is capable of stealing money from payment cards through relaying the data read by the Near Field Communication (“NFС”) chip to the attacker’s device. NFC  is a device which allows  devices such as smartphones to communicate over a short distance wirelessly.  In particular, NGate allows forging the victims’ cards and, therefore, performing fraudulent purchases or withdrawing money from ATMs. . 

 About NGate Malware: 

The whole purpose of NGate malware is to target victims’ payment cards by relaying the NFC data to the attacker’s device. The malware is designed to take advantage of phishing tactics and functionality of the NFC on android based devices. 

Modus Operandi: 

• Phishing Campaigns: The first step is spoofed emails or SMS used to lure the users into installing the  Progressive Web Apps (“PWAs”) or the WebAPKs presented as genuine banking applications. These apps usually have a layout and logo that makes them look like an authentic app of a Targeted Bank which makes them believable. 

• Installation of NGate: When the victim downloads the specific app, he or she is required to input personal details including account numbers and PIN numbers. Users are also advised to turn on or install  NFC on their gadgets and place the payment cards to the back part of the phone to scan the cards. 

• NFCGate Component: One of the main working features of the NGate is the NFCGate, an application created and designed by some students of Technical University of Darmstadt. This tool allows the malware to:
  • • Collect NFC traffic from payment cards in the vicinity. 
    • Transmit, or relay this data to the attacker’s device through a server. 
    • Repeat data that has been previously intercepted or otherwise copied.

It is important to note that some aspects of NFCGate mandate a rooted device; however, forwarding NFC traffic can occur with devices that are not rooted, and therefore can potentially ensnare more victims. ‍

Technical Mechanism of Data Theft:

• Data Capture: The malware exploits the NFC communication feature on android devices and reads the information from the payment card, if the card is near the infected device. It is able to intercept and capture the sensive card details.  

• Data Relay: The stolen information  is transmitted through a server to the attacker’s device so that he/she is in a position to mimic the victim’s card. 

• Unauthorized Transactions: Attackers get access to spend money on the merchants or withdraw money from the ATM that has NFC enabled. This capability marks a new level of Android malware in that the hackers are able to directly steal money without having to get hold of the card. 

Social Engineering Tactics: 

In most cases, attackers use social engineering techniques to obtain more information from the target before implementing the attack. In the second phase, attackers may pretend to be representatives of a bank that there is a problem with the account and offer to download a program called NGate, which in fact is a Trojan under the guise of an application for confirming the security of the account. This method makes it possible for the attackers to get ITPIN code from the sides of the victim, which enables them to withdraw money from the targeted person’s account without authorization. 

 Technical Analysis:

The analysis of malicious file hashes and phishing links are below:

Malicious File Hashes:

csob_smart_klic.apk:

• MD5: 7225ED2CBA9CB6C038D8
• Classification: Android/Spy.NGate.B

csob_smart_klic.apk:

• MD5: 66DE1E0A2E9A421DD16B
• Classification: Android/Spy.NGate.C

george_klic.apk:

• MD5: DA84BC78FF2117DDBFDC
• Classification: Android/Spy.NGate.C

george_klic-0304.apk:

• MD5: E7AE59CD44204461EDBD
• Classification: Android/Spy.NGate.C

rb_klic.apk:

• MD5: 103D78A180EB973B9FFC
• Classification: Android/Spy.NGate.A

rb_klic.apk:

• MD5: 11BE9715BE9B41B1C852
• Classification: Android/Spy.NGate.C.

Phishing URLs:

Phishing URL: 

• https://client.nfcpay.workers[.]dev/?key=8e9a1c7b0d4e8f2c5d3f6b2

Additionally, several distinct phishing websites have been identified, including:

• rb.2f1c0b7d.tbc-app[.]life
• geo-4bfa49b2.tbc-app[.]life
• rb-62d3a.tbc-app[.]life
• csob-93ef49e7a.tbc-app[.]life
• george.tbc-app[.]life.

Analysis:

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Broader Implications of NGate: 

The ultramodern features of NGate mean that its manifestation is not limited to financial swindling. An attacker can also generate a copy of NFC access cards and get  full access when hacking into restricted areas, for example, the corporate offices or restricted facility. Moreover, it is also safe to use the capacity to capture and analyze NFC traffic as threats to identity theft and other forms of cyber-criminality. 

Precautionary measures to be taken:

To protect against NGate and similar threats, users should consider the following strategies:

• Disable NFC: As mentioned above, NFC should be not often used, it is safe to turn NFC on Android devices off. This perhaps can be done from the general control of the device in which the bursting modes are being set. 

• Scrutinize App Permissions: Be careful concerning the permission that applies to the apps that are installed particularly the ones allowed to access the device. Hence, it is very important that applications should be downloaded only from genuine stores like Google Play Store only. 

• Use Security Software: The malware threat can be prevented by installing relevant security applications that are available in the market. 

• Stay Informed: As it has been highlighted, it is crucial for a person to know risks that are associated with the use of NFC while attempting to safeguard an individual’s identity. 

Conclusion: 

The presence of malware such as NGate is proof of the dynamism of threats in the context of mobile payments. Through the utilization of NFC function, NGate is a marked step up of Android malware implying that the attackers can directly manipulate the cash related data of the victims regardless of the physical aspect of the payment card. This underscores the need to be careful when downloading applications and to be keen on the permission one grants on the application. Turn NFC when not in use, use good security software and be aware of  the latest scams are some of the measures that help to fight this high level of financial fraud. The  attackers are now improving their methods. It is only right for the people and companies to take the right steps in avoiding the breach of privacy and identity theft.

Reference:

• https://www.welivesecurity.com/en/eset-research/ngate-android-malware-relays-nfc-traffic-to-steal-cash/
• https://therecord.media/android-malware-atm-stealing-czech-banks
• https://www.darkreading.com/mobile-security/nfc-traffic-stealer-targets-android-users-and-their-banking-info
• https://cybersecuritynews.com/new-ngate-android-malware/

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Introduction

The digital realm is evolving at a rapid pace, revolutionising cyberspace at a breakneck speed. However, this dynamic growth has left several operational and regulatory lacunae in the fabric of cyberspace, which are exploited by cybercriminals for their ulterior motives. One of the threats that emerged rapidly in 2024 is proxyjacking, in which vulnerable systems are exploited by cyber criminals to sell their bandwidth to third-party proxy servers. This cyber threat poses a significant threat to organisations and individual servers. 

Proxyjacking is a kind of cyber attack that leverages legit bandwidth sharing services such as Peer2Profit and HoneyGain. These are legitimate platforms but proxyjacking occurs when such services are exploited without user consent. These services provide the opportunity to monetize their surplus internet bandwidth by sharing with other users. The model itself is harmless but provides an avenue for numerous cyber hostilities.  The participants install net-sharing software and add the participating system to the proxy network, enabling users to route their traffic through the system. This setup intends to enhance privacy and provide access to geo-locked content. 

The Modus Operandi

These systems are hijacked by cybercriminals, who sell the bandwidth of infected devices. This is achieved by establishing Secure Shell (SSH) connections to vulnerable servers. While hackers rarely use honeypots to render elaborate scams, the technical possibility of them doing so cannot be discounted. Cowrie Honeypots, for instance, are engineered to emulate UNIX systems. Attackers can use similar tactics to gain unauthorized access to poorly secured systems. Once inside the system, attackers utilise legit tools such as public docker images to take over proxy monetization services. These tools are undetectable to anti-malware software due to being genuine software in and of themselves. Endpoint detection and response (EDR) tools also struggle with the same threats.

The Major Challenges 

Limitation Of Current Safeguards – current malware detection software is unable to distinguish between malicious and genuine use of bandwidth services, as the nature of the attack is not inherently malicious. 

Bigger Threat Than Crypto-Jacking – Proxyjacking poses a bigger threat than cryptojacking, where systems are compromised to mine crypto-currency. Proxyjacking uses minimal system resources rendering it more challenging to identify. As such, proxyjacking offers perpetrators a higher degree of stealth because it is a resource-light technique, whereas cryptojacking can leave CPU and GPU usage footprints.

Role of Technology in the Fight Against Proxyjacking

Advanced Safety Measures- Implementing advanced safety measures is crucial in combating proxyjacking. Network monitoring tools can help detect unusual traffic patterns indicative of proxyjacking. Key-based authentication for SSH can significantly reduce the risk of unauthorized access, ensuring that only trusted devices can establish connections. Intrusion Detection Systems and Intrusion Prevention Systems can go a long way towards monitoring unusual outbound traffic.

Robust Verification Processes- sharing services must adopt robust verification processes to ensure that only legitimate users are sharing bandwidth. This could include stricter identity verification methods and continuous monitoring of user activities to identify and block suspicious behaviour. 

Policy Recommendations

Verification for Bandwidth Sharing Services – Mandatory verification standards should be enforced for bandwidth-sharing services, including stringent Know Your Customer (KYC) protocols to verify the identity of users. A strong regulatory body would ensure proper compliance with verification standards and impose penalties. The transparency reports must document the user base, verification processes and incidents. 

Robust SSH Security Protocols – Key-based authentication for SSH across organisations should be mandated, to neutralize the risk of brute force attacks. Mandatory security audits of SSH configuration within organisations to ensure best practices are complied with and vulnerabilities are identified will help. Detailed logging of SSH attempts will streamline the process of identification and investigation of suspicious behaviour. 

Effective Anomaly Detection System – Design a standard anomaly detection system to monitor networks. The industry-wide detection system should focus on detecting inconsistencies in traffic patterns indicating proxy-jacking. Establishing mandatory protocols for incident reporting to centralised authority should be implemented. The system should incorporate machine learning in order to stay abreast with evolving attack methodologies.

Framework for Incident Response – A national framework should include guidelines for investigation, response and remediation to be followed by organisations. A centralized database can be used for logging and tracking all proxy hacking incidents, allowing for information sharing on a real-time basis. This mechanism will aid in identifying emerging trends and common attack vectors. 

Whistleblower Incentives – Enacting whistleblower protection laws will ensure the proper safety of individuals reporting proxyjacking activities. Monetary rewards provide extra incentives and motivate individuals to join whistleblowing programs. To provide further protection to whistleblowers, secure communication channels can be established which will ensure full anonymity to individuals. 

Conclusion

Proxyjacking represents an insidious and complicated threat in cyberspace. By exploiting legitimate bandwidth-sharing services, cybercriminals can profit while remaining entirely anonymous. Addressing this issue requires a multifaceted approach, including advanced anomaly detection systems, effective verification systems, and comprehensive incident response frameworks. These measures of strong cyber awareness among netizens will ensure a healthy and robust cyberspace. 

References 

• https://gridinsoft.com/blogs/what-is-proxyjacking/
• https://www.darkreading.com/cyber-risk/ssh-servers-hit-in-proxyjacking-cyberattacks
• https://therecord.media/hackers-use-log4j-in-proxyjacking-scheme

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In the vast, uncharted territories of the digital world, a sinister phenomenon is proliferating at an alarming rate. It's a world where artificial intelligence (AI) and human vulnerability intertwine in a disturbing combination, creating a shadowy realm of non-consensual pornography. This is the world of deepfake pornography, a burgeoning industry that is as lucrative as it is unsettling.

According to a recent assessment, at least 100,000 deepfake porn videos are readily available on the internet, with hundreds, if not thousands, being uploaded daily. This staggering statistic prompts a chilling question: what is driving the creation of such a vast number of fakes? Is it merely for amusement, or is there a more sinister motive at play?

Recent Trends and Developments 

An investigation by India Today’s Open-Source Intelligence (OSINT) team reveals that deepfake pornography is rapidly morphing into a thriving business. AI enthusiasts, creators, and experts are extending their expertise, investors are injecting money, and even small financial companies to tech giants like Google, VISA, Mastercard, and PayPal are being misused in this dark trade. Synthetic porn has existed for years, but advances in AI and the increasing availability of technology have made it easier—and more profitable—to create and distribute non-consensual sexually explicit material. The 2023 State of Deepfake report by Home Security Heroes reveals a staggering 550% increase in the number of deepfakes compared to 2019. 

What’s the Matter with Fakes? 

But why should we be concerned about these fakes? The answer lies in the real-world harm they cause. India has already seen cases of extortion carried out by exploiting deepfake technology. An elderly man in UP’s Ghaziabad, for instance, was tricked into paying Rs 74,000 after receiving a deep fake video of a police officer. The situation could have been even more serious if the perpetrators had decided to create deepfake porn of the victim.

The danger is particularly severe for women. The 2023 State of Deepfake Report estimates that at least 98 percent of all deepfakes is porn and 99 percent of its victims are women. A study by Harvard University refrained from using the term “pornography” for creating, sharing, or threatening to create/share sexually explicit images and videos of a person without their consent. “It is abuse and should be understood as such,” it states.

Based on interviews of victims of deepfake porn last year, the study said 63 percent of participants talked about experiences of “sexual deepfake abuse” and reported that their sexual deepfakes had been monetised online. It also found “sexual deepfake abuse to be particularly harmful because of the fluidity and co-occurrence of online offline experiences of abuse, resulting in endless reverberations of abuse in which every aspect of the victim’s life is permanently disrupted”.

Creating deepfake porn is disturbingly easy. There are largely two types of deepfakes: one featuring faces of humans and another featuring computer-generated hyper-realistic faces of non-existing people. The first category is particularly concerning and is created by superimposing faces of real people on existing pornographic images and videos—a task made simple and easy by AI tools.

During the investigation, platforms hosting deepfake porn of stars like Jennifer Lawrence, Emma Stone, Jennifer Aniston, Aishwarya Rai, Rashmika Mandanna to TV actors and influencers like Aanchal Khurana, Ahsaas Channa, and Sonam Bajwa and Anveshi Jain were encountered. It takes a few minutes and as little as Rs 40 for a user to create a high-quality fake porn video of 15 seconds on platforms like FakeApp and FaceSwap.

The Modus Operandi 

These platforms brazenly flaunt their business association and hide behind frivolous declarations such as: the content is “meant solely for entertainment” and “not intended to harm or humiliate anyone”. However, the irony of these disclaimers is not lost on anyone, especially when they host thousands of non-consensual deepfake pornography.

As fake porn content and its consumers surge, deepfake porn sites are rushing to forge collaborations with generative AI service providers and have integrated their interfaces for enhanced interoperability. The promise and potential of making quick bucks have given birth to step-by-step guides, video tutorials, and websites that offer tools and programs, recommendations, and ratings.

Nearly 90 per cent of all deepfake porn is hosted by dedicated platforms that charge for long-duration premium fake content and for creating porn—of whoever a user wants, and take requests for celebrities. To encourage them further, they enable creators to monetize their content.

One such website, Civitai, has a system in place that pays “rewards” to creators of AI models that generate “images of real people'', including ordinary people. It also enables users to post AI images, prompts, model data, and LoRA (low-rank adaptation of large language models) files used in generating the images. Model data designed for adult content is gaining great popularity on the platform, and they are not only targeting celebrities. Common people are equally susceptible.

Access to premium fake porn, like any other content, requires payment. But how can a gateway process payment for sexual content that lacks consent? It seems financial institutes and banks are not paying much attention to this legal question. During the investigation, many such websites accepting payments through services like VISA, Mastercard, and Stripe were found.

Those who have failed to register/partner with these fintech giants have found a way out. While some direct users to third-party sites, others use personal PayPal accounts to manually collect money in the personal accounts of their employees/stakeholders, which potentially violates the platform's terms of use that ban the sale of “sexually oriented digital goods or content delivered through a digital medium.”

 Among others, the MakeNude.ai web app – which lets users “view any girl without clothing” in “just a single click” – has an interesting method of circumventing restrictions around the sale of non-consensual pornography. The platform has partnered with Ukraine-based Monobank and Dublin’s BetaTransfer Kassa which operates in “high-risk markets”.

BetaTransfer Kassa admits to serving “clients who have already contacted payment aggregators and received a refusal to accept payments, or aggregators stopped payments altogether after the resource was approved or completely freeze your funds”. To make payment processing easy, MakeNude.ai seems to be exploiting the donation ‘jar’ facility of Monobank, which is often used by people to donate money to Ukraine to support it in the war against Russia.

The Indian Scenario 

India currently is on its way to design dedicated legislation to address issues arising out of deepfakes. Though existing general laws requiring such platforms to remove offensive content also apply to deepfake porn. However, persecution of the offender and their conviction is extremely difficult for law enforcement agencies as it is a boundaryless crime and sometimes involves several countries in the process.

A victim can register a police complaint under provisions of Section 66E and Section 66D of the IT Act, 2000. Recently enacted Digital Personal Data Protection Act, 2023 aims to protect the digital personal data of users. Recently Union Government issued an advisory to social media intermediaries to identify misinformation and deepfakes. Comprehensive law promised by Union IT minister Ashwini Vaishnav will be able to address these challenges.

Conclusion 

In the end, the unsettling dance of AI and human vulnerability continues in the dark web of deepfake pornography. It's a dance that is as disturbing as it is fascinating, a dance that raises questions about the ethical use of technology, the protection of individual rights, and the responsibility of financial institutions. It's a dance that we must all be aware of, for it is a dance that affects us all.

References

• https://www.indiatoday.in/india/story/deepfake-porn-artificial-intelligence-women-fake-photos-2471855-2023-12-04
• https://www.hindustantimes.com/opinion/the-legal-net-to-trap-peddlers-of-deepfakes-101701520933515.html
• https://indianexpress.com/article/opinion/columns/with-deepfakes-getting-better-and-more-alarming-seeing-is-no-longer-believing/