#FactCheck - AI-Cloned Audio in Viral Anup Soni Video Promoting Betting Channel Revealed as Fake
Executive Summary:
A morphed video of the actor Anup Soni popular on social media promoting IPL betting Telegram channel is found to be fake. The audio in the morphed video is produced through AI voice cloning. AI manipulation was identified by AI detection tools and deepfake analysis tools. In the original footage Mr Soni explains a case of crime, a part of the popular show Crime Patrol which is unrelated to betting. Therefore, it is important to draw the conclusion that Anup Soni is in no way associated with the betting channel.
Claims:
The facebook post claims the IPL betting Telegram channel which belongs to Rohit Khattar is promoted by Actor Anup Soni.
Fact Check:
Upon receiving the post, the CyberPeace Research Team closely analyzed the video and found major discrepancies which are mostly seen in AI-manipulated videos. The lip sync of the video does not match the audio. Taking a cue from this we analyzed using a Deepfake detection tool by True Media. It is found that the voice of the video is 100% AI-generated.
We then extracted the audio and checked in an audio Deepfake detection tool named Hive Moderation. Hive moderation found the audio to be 99.9% AI-Generated.
We then divided the video into keyframes and reverse searched one of the keyframes and found the original video uploaded by the YouTube channel named LIV Crime.
Upon analyzing we found that in the 3:18 time frame the video was edited, and altered with an AI voice.
Hence, the viral video is an AI manipulated video and it’s not real. We have previously debunked such AI voice manipulation with different celebrities and politicians to misrepresent the actual context. Netizens must be careful while believing in such AI manipulation videos.
Conclusion:
In conclusion, the viral video claiming that IPL betting Telegram channel promotion by actor Anup Soni is false. The video has been manipulated using AI voice cloning technology, as confirmed by both the Hive Moderation AI detector and the True Media AI detection tool. Therefore, the claim is baseless and misleading.
- Claim: An IPL betting Telegram channel belonging to Rohit Khattar promoted by Actor Anup Soni.
- Claimed on: Facebook
- Fact Check: Fake & Misleading
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The more ease and dependency the internet slithers into our lives, the more obscure parasites linger on with it, menacing our privacy and data. Among these digital parasites, cyber espionage, hacking, and ransom have never failed to grab the headlines. These hostilities carried out by cyber criminals, corporate juggernauts and several state and non-state actors lend them unlimited access to the customers’ data damaging the digital fabric and wellbeing of netizens.
As technology continues to evolve, so does the need for robust safety measures. To tackle these emerging challenges, Korea based Samsung Electronics has introduced a cutting-edge security tool called Auto Blocker. Introduced in the One UI 6 Update, Auto Blocker boasts an array of additional security features, granting users the ability to customize their device's security as per their requirements Also known as ‘advanced sandbox’ or ‘Virtual Quarantine’. Sandboxing is a safety measure for separating running programs to prevent spread of digital vulnerabilities. It prohibits automatic execution of malicious code embedded in images. This shield now extends to third-party apps like WhatsApp and Facebook messenger, providing better resilience against cyber-attacks in all Samsung devices.
Matter of Choice
Dr. Seungwon Shin, EVP & Head of Security Team, Mobile eXperience Business at Samsung Electronics, emphasizes the significance of user safety. He stated “At Samsung, we constantly strive to keep our users safe from security attacks, and with the introduction of Auto Blocker, users can continue to enjoy the benefits of our open ecosystem, knowing that their mobile experience is secured.”
Auto Blocker is a matter of choice. It's not a cookie cutter solution; instead, its USP is the ability to customize security measures of your device. The Auto Blocker can be accessed through device’s setting, and is activated via toggle.
Your personal Digital Armor
One of Auto Blocker's salient features is its ability to prevent bloatware (unnecessary apps) from installing in the devices from unknown sources which is called sideloading. While sideloading provides greater scope of control and better customization, it also exposes users to potential threats, such as malicious file downloads. The proactive approach of Auto Blocker disables sideloading by default. Auto Blocker serves as an extra line of defense, especially against gruesome social engineering attacks such as voice Phishing (Vhishing). The app has an essential tool called ‘Message Guard’, engineered to combat Zero Click attacks. These complicated attacks are executed when a message containing an image is viewed.
The Auto Blocker also offers a wide variety of new controls to enhance device’s safety, including security scans to detect malwares. Additionally, Auto Blocker prevents the installation of malwares via USB cable. This ensures the device's security even when someone gains physical access to it, such as when the device is being charged in a public place.
Raising the Bar for Cyber Security
Auto Blocker testifies Samsung's unwavering commitment to the safety and privacy of its users. It acts an essential part of Samsung's security suite and privacy innovations, improving overall mobile experience within the Galaxy’s ecosystem. It provides a safer mobile experience while allowing user superior control over their device's protection. In comparison. Apple offers a more standardized approach to privacy and security with emphasis on user friendly design and closed ecosystem. Samsung disables sideloading to combat threats, while Apple is more flexible in this regard on macOS.
In this dynamic digital space, the Auto Blocker offers a tool to maintain cyber peace and resilience. It protects from a broad spectrum of digital hostilities while allowing us to embrace the new digital ecosystem crafted by Galaxy. It's a security feature that puts you in control, allowing you to determine how you fortify your digital fort to safeguard your device against digital specters like zero clicks, voice phishing (Vishing) and malware downloads
Samsung’s new product emerges as impenetrable armor shielding users against cyber hostilities. With its new customizable security feature with Galaxy Ecosystem, it allows users to exercise greater control over their digital space, promoting more secure and peaceful cyberspace.
Reference:
HT News Desk. (2023, November 1). Samsung unveils new Auto Blocker feature to protect devices. How does it work? Hindustan Times. https://www.hindustantimes.com/technology/samsung-unveils-new auto-blocker-feature to-protect-devices-how-does-it-work 101698805574773.html
Executive Summary:
Given that AI technologies are evolving at a fast pace in 2024, an AI-oriented phishing attack on a large Indian financial institution illustrated the threats. The documentation of the attack specifics involves the identification of attack techniques, ramifications to the institution, intervention conducted, and resultant effects. The case study also turns to the challenges connected with the development of better protection and sensibilisation of automatized threats.
Introduction
Due to the advancement in AI technology, its uses in cybercrimes across the world have emerged significant in financial institutions. In this report a serious incident that happened in early 2024 is analysed, according to which a leading Indian bank was hit by a highly complex, highly intelligent AI-supported phishing operation. Attack made use of AI’s innate characteristic of data analysis and data persuasion which led into a severe compromise of the bank’s internal structures.
Background
The chosen financial institution, one of the largest banks in India, had a good background regarding the extremity of its cybersecurity policies. However, these global cyberattacks opened up new threats that AI-based methods posed that earlier forms of security could not entirely counter efficiently. The attackers concentrated on the top managers of the bank because it is evident that controlling such persons gives the option of entering the inner systems as well as financial information.
Attack Execution
The attackers utilised AI in sending the messages that were an exact look alike of internal messages sent between employees. From Facebook and Twitter content, blog entries, and lastly, LinkedIn connection history and email tenor of the bank’s executives, the AI used to create these emails was highly specific. Some of these emails possessed official formatting, specific internal language, and the CEO’s writing; this made them very realistic.
It also used that link in phishing emails that led the users to a pseudo internal portal in an attempt to obtain the login credentials. Due to sophistication, the targeted individuals thought the received emails were genuine, and entered their log in details easily to the bank’s network, thus allowing the attackers access.
Impact
It caused quite an impact to the bank in every aspect. Numerous executives of the company lost their passwords to the fake emails and compromised several financial databases with information from customer accounts and transactions. The break-in permitted the criminals to cease a number of the financial’s internet services hence disrupting its functions and those of its customers for a number of days.
They also suffered a devastating blow to their customer trust because the breach revealed the bank’s weakness against contemporary cyber threats. Apart from managing the immediate operations which dealt with mitigating the breach, the financial institution was also toppling a long-term reputational hit.
Technical Analysis and Findings
1. The AI techniques that are used in generation of the phishing emails are as follows:
- The attack used powerful NLP technology, which was most probably developed using the large-scaled transformer, such as GPT (Generative Pre-trained Transformer). Since these models are learned from large data samples they used the examples of the conversation pieces from social networks, emails and PC language to create quite credible emails.
Key Technical Features:
- Contextual Understanding: The AI was able to take into account the nature of prior interactions and thus write follow up emails that were perfectly in line with prior discourse.
- Style Mimicry: The AI replicated the writing of the CEO given the emails of the CEO and then extrapolated from the data given such elements as the tone, the language, and the format of the signature line.
- Adaptive Learning: The AI actively adapted from the mistakes, and feedback to tweak the generated emails for other tries and this made it difficult to detect.
2. Sophisticated Spear-Phishing Techniques
Unlike ordinary phishing scams, this attack was phishing using spear-phishing where the attackers would directly target specific people using emails. The AI used social engineering techniques that significantly increased the chances of certain individuals replying to certain emails based on algorithms which machine learning furnished.
Key Technical Features:
- Targeted Data Harvesting: Cyborgs found out the employees of the organisation and targeted messages via the public profiles and messengers were scraped.
- Behavioural Analysis: The latest behaviour pattern concerning the users of the social networking sites and other online platforms were used by the AI to forecast the courses of action expected to be taken by the end users such as clicking on the links or opening of the attachments.
- Real-Time Adjustments: These are times when it was determined that the response to the phishing email was necessary and the use of AI adjusted the consequent emails’ timing and content.
3. Advanced Evasion Techniques
The attackers were able to pull off this attack by leveraging AI in their evasion from the normal filters placed in emails. These techniques therefore entailed a modification of the contents of the emails in a manner that would not be easily detected by the spam filters while at the same time preserving the content of the message.
Key Technical Features:
- Dynamic Content Alteration: The AI merely changed the different aspects of the email message slightly to develop several versions of the phishing email that would compromise different algorithms.
- Polymorphic Attacks: In this case, polymorphic code was used in the phishing attack which implies that the actual payloads of the links changed frequently, which means that it was difficult for the AV tools to block them as they were perceived as threats.
- Phantom Domains: Another tactic employed was that of using AI in generating and disseminating phantom domains, that are actual web sites that appear to be legitimate but are in fact short lived specially created for this phishing attack, adding to the difficulty of detection.
4. Exploitation of Human Vulnerabilities
This kind of attack’s success was not only in AI but also in the vulnerability of people, trust in familiar language and the tendency to obey authorities.
Key Technical Features:
- Social Engineering: As for the second factor, AI determined specific psychological principles that should be used in order to maximise the chance of the targeted recipients opening the phishing emails, namely the principles of urgency and familiarity.
- Multi-Layered Deception: The AI was successfully able to have a two tiered approach of the emails being sent as once the targeted individuals opened the first mail, later the second one by pretext of being a follow up by a genuine company/personality.
Response
On sighting the breach, the bank’s cybersecurity personnel spring into action to try and limit the fallout. They reported the matter to the Indian Computer Emergency Response Team (CERT-In) to find who originated the attack and how to block any other intrusion. The bank also immediately started taking measures to strengthen its security a bit further, for instance, in filtering emails, and increasing the authentication procedures.
Knowing the risks, the bank realised that actions should be taken in order to enhance the cybersecurity level and implement a new wide-scale cybersecurity awareness program. This programme consisted of increasing the awareness of employees about possible AI-phishing in the organisation’s info space and the necessity of checking the sender’s identity beforehand.
Outcome
Despite the fact and evidence that this bank was able to regain its functionality after the attack without critical impacts with regards to its operations, the following issues were raised. Some of the losses that the financial institution reported include losses in form of compensation of the affected customers and costs of implementing measures to enhance the financial institution’s cybersecurity. However, the principle of the incident was significantly critical of the bank as customers and shareholders began to doubt the organisation’s capacity to safeguard information in the modern digital era of advanced artificial intelligence cyber threats.
This case depicts the importance for the financial firms to align their security plan in a way that fights the new security threats. The attack is also a message to other organisations in that they are not immune from such analysis attacks with AI and should take proper measures against such threats.
Conclusion
The recent AI-phishing attack on an Indian bank in 2024 is one of the indicators of potential modern attackers’ capabilities. Since the AI technology is still progressing, so are the advances of the cyberattacks. Financial institutions and several other organisations can only go as far as adopting adequate AI-aware cybersecurity solutions for their systems and data.
Moreover, this case raises awareness of how important it is to train the employees to be properly prepared to avoid the successful cyberattacks. The organisation’s cybersecurity awareness and secure employee behaviours, as well as practices that enable them to understand and report any likely artificial intelligence offences, helps the organisation to minimise risks from any AI attack.
Recommendations
- Enhanced AI-Based Defences: Financial institutions should employ AI-driven detection and response products that are capable of mitigating AI-operation-based cyber threats in real-time.
- Employee Training Programs: CYBER SECURITY: All employees should undergo frequent cybersecurity awareness training; here they should be trained on how to identify AI-populated phishing.
- Stricter Authentication Protocols: For more specific accounts, ID and other security procedures should be tight in order to get into sensitive ones.
- Collaboration with CERT-In: Continued engagement and coordination with authorities such as the Indian Computer Emergency Response Team (CERT-In) and other equivalents to constantly monitor new threats and valid recommendations.
- Public Communication Strategies: It is also important to establish effective communication plans to address the customers of the organisations and ensure that they remain trusted even when an organisation is facing a cyber threat.
Through implementing these, financial institutions have an opportunity for being ready with new threats that come with AI and cyber terrorism on essential financial assets in today’s complex IT environments.
Introduction
In the intricate maze of our interconnected world, an unseen adversary conducts its operations with a stealth almost poetic in its sinister intent. This adversary — malware — has extended its tendrils into the digital sanctuaries of Mac users, long perceived as immune to such invasive threats. Our narrative today does not deal with the physical and tangible frontlines we are accustomed to; this is a modern tale of espionage, nestled in the zeros and ones of cyberspace.
The Mac platform, cradled within the fortifications of Apple's walled garden ecosystem, has stood as a beacon of resilience amidst the relentless onslaught of cyber threats. However, this sense of imperviousness has been shaken at its core, heralding a paradigm shift. A new threat lies in wait, bridging the gap between perceived security and uncomfortable vulnerability.
The seemingly invincible Mac OS X, long heralded for its robust security features and impervious resilience to virus attacks, faces an undercurrent of siege tactics from hackers driven by a relentless pursuit for control. This narrative is not about the front-and-centre warfare we see so often reported in media headlines. Instead, it veils itself within the actions of users as benign as the download of pirated software from the murky depths of warez websites.
The Incident
The casual act, born out of innocence or economic necessity, to sidestep the financial requisites of licensed software, has become the unwitting point of compromised security. Users find themselves on the battlefield, one that overshadows the significance of its physical counterpart with its capacity for surreptitious harm. The Mac's seeming invulnerability is its Achilles' heel, as the wariness against potential threats has been eroded by the myth of its impregnability.
The architecture of this silent assault is not one of brute force but of guile. Cyber marauders finesse their way through the defenses with a diversified arsenal; pirated content is but a smokescreen behind which trojans lie in ambush. The very appeal of free access to premium applications is turned against the user, opening a rift that permits these malevolent forces to ingress.
The trojans that permeate the defenses of the Mac ecosystem are architects of chaos. They surreptitiously enrol devices into armies of sorts – botnets which, unbeknownst to their hosts, become conduits for wider assaults on privacy and security. These machines, now soldiers in an unconsented war, are puppeteered to distribute further malware, carry out phishing tactics, and breach the sanctity of secure data.
The Trojan of Mac
A recent exposé by the renowned cybersecurity firm Kaspersky has shone a spotlight on this burgeoning threat. The meticulous investigation conducted in April of this year unveiled a nefarious campaign, engineered to exploit the complacency among Mac users. This operation facilitates the sale of proxy access, linking previously unassailable devices to the infrastructure of cybercriminal networks.
This revelation cannot be overstated in its importance. It illustrates with disturbing clarity the evolution and sophistication of modern malware campaigns. The threat landscape is not stagnant but ever-shifting, adapting with both cunning and opportunity.
Kaspersky's diligence in dissecting this threat detected nearly three dozen popular applications, and tools relied upon by individuals and businesses alike for a multitude of tasks. These apps, now weaponised, span a gamut of functionalities - image editing and enhancement, video compression, data recovery, and network scanning among them. Each one, once a benign asset to productivity, is twisted into a lurking danger, imbued with the power to betray its user.
The duplicity of the trojan is shrouded in mimicry; it disguises its malicious intent under the guise of 'WindowServer,' a legitimate system process intrinsic to the macOS. Its camouflage is reinforced by an innocuously named file, 'GoogleHelperUpdater.plist' — a moniker engineered to evade suspicion and blend seamlessly with benign processes affiliated with familiar applications.
Mode of Operation
Its mode of operation, insidious in its stealth, utilises the Transmission Control Protocol(TCP) and User Datagram Protocol(UDP) networking protocols. This modus operandi allows it to masquerade as a benign proxy. The full scope of its potential commands, however, eludes our grasp, a testament to the shadowy domain from which these threats emerge.
The reach of this trojan does not cease at the periphery of Mac's operating system; it harbours ambitions that transcend platforms. Windows and Android ecosystems, too, find themselves under the scrutiny of this burgeoning threat.
This chapter in the ongoing saga of cybersecurity is more than a cautionary tale; it is a clarion call for vigilance. The war being waged within the circuits and code of our devices underscores an inescapable truth: complacency is the ally of the cybercriminal.
Safety measures and best practices
It is imperative to safeguard the Mac system from harmful intruders, which are constantly evolving. Few measures can play a crucial role in protecting your data in your Mac systems.
- Refrain from Unlicensed Software - Refrain from accessing and downloading pirated software. Plenty of software serves as a decoy for malware which remains dormant till downloaded files are executed.
- Use Trusted Source: Downloading files from legitimate and trusted sources can significantly reduce the threat of any unsolicited files or malware making its way into your Mac system.
- Regular system updates: Regular updates to systems released by the company ensure the latest patches are installed in the system critical to combat and neutralize emerging threats.
- General Awareness: keeping abreast of the latest developments in cyberspace plays a crucial role in avoiding new and emerging threats. It is crucial to keep pace with trends and be well-informed about new threats and ways to combat them.
Conclusion
In conclusion, this silent conflict, though waged in whispers, echoes with repercussions that reverberate through every stratum of digital life. The cyber threats that dance in the shadows cast by our screens are not figments of paranoia, but very real specters hunting for vulnerabilities to exploit. Mac users, once confident in their platforms' defenses, must awaken to the new dawn of cybersecurity awareness.
The battlefield, while devoid of the visceral carnage of physical warfare, is replete with casualties of privacy and breaches of trust. The soldiers in this conflict are disguised as serviceable code, enacting their insidious agendas beneath a façade of normalcy. The victims eschew physical wounds for scars on their digital identities, enduring theft of information, and erosion of security.
As we course through the daunting terrain of digital life, it becomes imperative to heed the lessons of this unseen warfare. Shadows may lie unseen, but it is within their obscurity that the gravest dangers often lurk, a reminder to remain ever vigilant in the face of the invisible adversary.