#FactCheck - MS Dhoni Sculpture Falsely Portrayed as Chanakya 3D Recreation
Executive Summary:
A widely used news on social media is that a 3D model of Chanakya, supposedly made by Magadha DS University matches with MS Dhoni. However, fact-checking reveals that it is a 3D model of MS Dhoni not Chanakya. This MS Dhoni-3D model was created by artist Ankur Khatri and Magadha DS University does not appear to exist in the World. Khatri uploaded the model on ArtStation, calling it an MS Dhoni similarity study.
Claims:
The image being shared is claimed to be a 3D rendering of the ancient philosopher Chanakya created by Magadha DS University. However, people are noticing a striking similarity to the Indian cricketer MS Dhoni in the image.
Fact Check:
After receiving the post, we ran a reverse image search on the image. We landed on a Portfolio of a freelance character model named Ankur Khatri. We found the viral image over there and he gave a headline to the work as “MS Dhoni likeness study”. We also found some other character models in his portfolio.
Subsequently, we searched for the mentioned University which was named as Magadha DS University. But found no University with the same name, instead the name is Magadh University and it is located in Bodhgaya, Bihar. We searched the internet for any model, made by Magadh University but found nothing. The next step was to conduct an analysis on the Freelance Character artist profile, where we found that he has a dedicated Instagram channel where he posted a detailed video of his creative process that resulted in the MS Dhoni character model.
We concluded that the viral image is not a reconstruction of Indian philosopher Chanakya but a reconstruction of Cricketer MS Dhoni created by an artist named Ankur Khatri, not any University named Magadha DS.
Conclusion:
The viral claim that the 3D model is a recreation of the ancient philosopher Chanakya by a university called Magadha DS University is False and Misleading. In reality, the model is a digital artwork of former Indian cricket captain MS Dhoni, created by artist Ankur Khatri. There is no evidence of a Magadha DS University existence. There is a university named Magadh University in Bodh Gaya, Bihar despite its similar name, we found no evidence in the model's creation. Therefore, the claim is debunked, and the image is confirmed to be a depiction of MS Dhoni, not Chanakya.
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Executive Summary:
Traditional Business Email Compromise(BEC) attacks have become smarter, using advanced technologies to enhance their capability. Another such technology which is on the rise is WormGPT, which is a generative AI tool that is being leveraged by the cybercriminals for the purpose of BEC. This research aims at discussing WormGPT and its features as well as the risks associated with the application of the WormGPT in criminal activities. The purpose is to give a general overview of how WormGPT is involved in BEC attacks and give some advice on how to prevent it.
Introduction
BEC(Business Email Compromise) in simple terms can be defined as a kind of cybercrime whereby the attackers target the business in an effort to defraud through the use of emails. Earlier on, BEC attacks were executed through simple email scams and phishing. However, in recent days due to the advancement of AI tools like WormGPT such malicious activities have become sophisticated and difficult to identify. This paper seeks to discuss WormGPT, a generative artificial intelligence, and how it is used in the BEC attacks to make the attacks more effective.
What is WormGPT?
Definition and Overview
WormGPT is a generative AI model designed to create human-like text. It is built on advanced machine learning algorithms, specifically leveraging large language models (LLMs). These models are trained on vast amounts of text data to generate coherent and contextually relevant content. WormGPT is notable for its ability to produce highly convincing and personalised email content, making it a potent tool in the hands of cybercriminals.
How WormGPT Works
1. Training Data: Here the WormGPT is trained with the arrays of data sets, like emails, articles, and other writing material. This extensive training enables it to understand and to mimic different writing styles and recognizable textual content.
2. Generative Capabilities: Upon training, WormGPT can then generate text based on specific prompts, as in the following examples in response to prompts. For example, if a cybercriminal comes up with a prompt concerning the company’s financial information, WormGPT is capable of releasing an appearance of a genuine email asking for more details.
3. Customization: WormGPT can be retrained any time with an industry or an organisation of interest in mind. This customization enables the attackers to make their emails resemble the business activities of the target thus enhancing the chances for an attack to succeed.
Enhanced Phishing Techniques
Traditional phishing emails are often identifiable by their generic and unconvincing content. WormGPT improves upon this by generating highly personalised and contextually accurate emails. This personalization makes it harder for recipients to identify malicious intent.
Automation of Email Crafting
Previously, creating convincing phishing emails required significant manual effort. WormGPT automates this process, allowing attackers to generate large volumes of realistic emails quickly. This automation increases the scale and frequency of BEC attacks.
Exploitation of Contextual Information
WormGPT can be fed with contextual information about the target, such as recent company news or employee details. This capability enables the generation of emails that appear highly relevant and urgent, further deceiving recipients into taking harmful actions.
Implications for Cybersecurity
Challenges in Detection
The use of WormGPT complicates the detection of BEC attacks. Traditional email security solutions may struggle to identify malicious emails generated by advanced AI, as they can closely mimic legitimate correspondence. This necessitates the development of more sophisticated detection mechanisms.
Need for Enhanced Training
Organisations must invest in training their employees to recognize signs of BEC attacks. Awareness programs should emphasise the importance of verifying email requests for sensitive information, especially when such requests come from unfamiliar or unexpected sources.
Implementation of Robust Security Measures
- Multi-Factor Authentication (MFA): MFA can add an additional layer of security, making it harder for attackers to gain unauthorised access even if they successfully deceive an employee.
- Email Filtering Solutions: Advanced email filtering solutions that use AI and machine learning to detect anomalies and suspicious patterns can help identify and block malicious emails.
- Regular Security Audits: Conducting regular security audits can help identify vulnerabilities and ensure that security measures are up to date.
Case Studies
Case Study 1: Financial Institution
A financial institution fell victim to a BEC attack orchestrated using WormGPT. The attacker used the tool to craft a convincing email that appeared to come from the institution’s CEO, requesting a large wire transfer. The email’s convincing nature led to the transfer of funds before the scam was discovered.
Case Study 2: Manufacturing Company
In another instance, a manufacturing company was targeted by a BEC attack using WormGPT. The attacker generated emails that appeared to come from a key supplier, requesting sensitive business information. The attack exploited the company’s lack of awareness about BEC threats, resulting in a significant data breach.
Recommendations for Mitigation
- Strengthen Email Security Protocols: Implement advanced email security solutions that incorporate AI-driven threat detection.
- Promote Cyber Hygiene: Educate employees on recognizing phishing attempts and practising safe email habits.
- Invest in AI for Defense: Explore the use of AI and machine learning in developing defences against generative AI-driven attacks.
- Implement Verification Procedures: Establish procedures for verifying the authenticity of sensitive requests, especially those received via email.
Conclusion
WormGPT is a new tool in the arsenal of cybercriminals which improved their options to perform Business Email Compromise attacks more effectively and effectively. Therefore, it is critical to provide the defence community with information regarding the potential of WormGPT and its implications for enhancing the threat landscape and strengthening the protection systems against advanced and constantly evolving threats.
This means the development of rigorous security protocols, general awareness of security solutions, and incorporating technologies such as artificial intelligence to mitigate the risk factors that arise from generative AI tools to the best extent possible.
Introduction
Iran stands as a nation poised at the threshold of a transformative era. The Islamic Republic, a land of ancient civilisations now grappling with the exigencies of the 21st century, is now making strides in the emerging field of artificial intelligence (AI). This is not merely an adoption of new tools; it is a strategic embrace, a calculated leap into the digital unknown, where the potential for economic growth and security enhancement resonates with the promise of a redefined future.
Embarking on this technological odyssey, Iranian President Ebrahim Raisi, in a conclave with the nation’s virtual business activists, delineated the ‘big steps’ being undertaken in the realm of AI. The gathering, as reported by the pro-government Tasnim News, was not a simple exchange of polite remarks but a profound discourse that offered an incisive overview of the burgeoning digital economy and the strides Iran is making in the AI landscape. The conversation deeply revolved around the current ecosystem of technology and innovation within Iran, delving into the burgeoning startup culture and the commendable drive within its youth populace to propel the nation to the forefront of technology.
Iranian AI Integration
Military Implications
The discourse ranged from the current technological infrastructure to the broader implications for the security and defense of the region. The Iranian polity, with its rich history that seamlessly blends with aspirations for the future, is acutely aware that the implications of AI reach far beyond mere economic growth. They extend into the very fibres of military might and the structure of national security. The investment in cyber capabilities in Iran is well-documented, a display of shrewdness and pragmatism. And the integration of AI technologies is the next logical step in an ever-evolving defense architecture. Brigadier General Alireza Sabahifard, Commander of the Iranian Army Air Defense Force, has underscored the pivotal role of AI in modern warfare. He identifies the ongoing adoption of AI technologies as a strategic imperative, a top priority fundamentally designed to elevate the air defense capabilities in Iran to meet 21st-century threats.
Economic Implications
Yet, the Iranian pursuit of AI is not solely confined to bolstering military prowess. It is also pervasive in nurturing economic opportunity. President Raisi’s rhetoric touches upon economic rejuvenation, job creation, and the proliferation of financial and legal support mechanisms, all blurred into a cohesive vision that would foster a suitable environment for the private sector in the AI domain. The ambition is grand and strikingly clear — a nation committed to training several thousand individuals in the digital economy sector, signaling a deep-rooted commitment to cultivating a healthy environment for AI-driven innovation.
The Iranian leader’s vision extends beyond the simple creation of infrastructure. It extends to the fostering of a healthy, competitive, and peaceful social milieu where domestic and international markets are within easy reach, promoting the prosperity of the digital economy and its activists. Such a vision of technological symbiosis, in many Western democracies, would be labelled as audaciously progressive. In Iran, however, withdrawing a major chunk of economic investments from the country's security state adds layers of complexity and nuance to this transformative narrative.
Cultural Integration
Still, Iran’s ambitious AI journey unfolds with a recognition of its cultural underpinnings and societal structure. The Nexus between the private sector, with its cyber-technocratic visionaries, and the regime, with its omnipresent ties to the Islamic Revolutionary Guard Corps, is a tightrope that requires unparalleled poise and vigilance.
Moreover, in the holy city of Qom, a hub of intellectual fervour and the domicile of half of Iran's 200,000 Shia clerics, there burgeons a captivating interest in the possible synergies between AI and theological study. The clerical establishment, hidden within a stronghold of religious scholarship, perceives AI not as a problem but as a potential solution, a harbinger of progress that could ally with tradition. It sees in AI the potential of parsing Islamic texts with newfound precision, thereby allowing religious rulings, or fatwas, to resonate with the everchanging Iranian society. This integration of technology is a testament to the dynamic interplay between tradition and modernity.
Yet the integration of AI into the venerable traditions of societies such as Iran's is threaded with challenges. Herein lays the paradox, for as AI is poised to potentially bolster religious study, the threat of cultural dissolution remains present. AI, if not judiciously designed with local values and ethics in mind, could inadvertently propagate an ideology at odds with local customs, beliefs, and the cornerstone principles of a society.
Natural Resources
Similarly, Iran's strategic foray into AI extends into its sovereign dominion—the charge of its natural resources. As Mehr News Agency reports, the National Iranian Oil Company (NIOC) is on the cusp of pioneering a joint venture with international tech juggernauts, chiefly Chinese companies, to inject the lifeblood of AI into the heart of its oil and gas production processes. This grand undertaking is nothing short of a digital renaissance aimed at achieving 'great reforms’ and driving a drastic 20% improvement in efficiency. AI’s algorithmic potency, unleashed in the hydrocarbon fields, promises to streamline expenses, enhance efficacy, and maximise production outputs, thereby bolstering Iran's economic bulwark.
The AI way Forward
As we delve further into Iran's sophisticated AI strategy, we observe an approach that is both vibrant and multi-dimensional. From military development to religious tutelage, from the diligent charge of the environment to the pursuit of sustainable economic development, Iran's AI ventures are emblematic of the broader global discourse. They mark a vivid intersection of AI governance, security, and the future of technological enterprise, highlighting the evolution of technological adoption and its societal, ethical, and geopolitical repercussions.
Conclusion
The multifaceted nature of Iran's AI pursuits encapsulates a spectrum of strategic imperatives, bringing the spearheads of defense modernisation and religious academics with the imperatives of resource allocation. It reflects a nuanced approach to the adoption and integration of technology, adjudicating between the venerable pillars of traditional values and the inexorable forces of modernisation. As Iran continues to delineate and traverse its path through the burgeoning landscape of AI, attending global stakeholders, watch with renewed interest and measured apprehension. Mindful of the intricate geopolitical implications and the transformative potential inherent in Iran's burgeoning AI endeavours, the global community watches, waits, and wonders at what may emerge from this ancient civilisation’s bold, resolute strides into the future.
References
- https://www.jpost.com/middle-east/article-792391
- https://www.ft.com/content/9c1c3fd3-4aea-40ab-977b-24fe5527300c
- https://www.foxnews.com/world/iran-looks-ai-weather-western-sanctions-help-military-fight-cheap
Introduction
The Sexual Harassment of minors in cyberspace has become a matter of grave concern that needs to be addressed. Sextortion is the practice of extorting individuals into sharing explicit and sexual content under the threat of exposure. This grim activity has evolved into a pervasive issue on several social media platforms, particularly Instagram. To combat this illicit act, big corporate giants such as Meta have deployed a comprehensive ‘nudity protection’ feature, leveraging the use of AI (Artificial Intelligence) algorithms to ascertain and address the rapid distribution of unsolicited explicit content.
The Meta Initiative presented a multifaceted approach to improve user safety, especially for young people online, who are more vulnerable to predatory behavior.
The Salient Feature
Instagram’s use of advanced AI algorithms to automatically identify and blur out explicit images shared within direct messages is the driving force behind this initiative. This new safety measure serves two essential purposes.
- Preventing dissemination of sensitive content - The feature, when enabled, obstructs the visibility of sensitive personal pictures and also limits dissemination of the same.
- Empower minors to exercise more control over their social media - This cutting feature comes with the ability to disable the nudity protection at the will of users, allowing users, including minors, to regulate their exposure to age-inappropriate and harmful materials online. The nudity protection feature is enabled for all users under 18 as a default setting on Instagram globally. This measure guarantees a baseline standard of security for the most vulnerable demographic of users. Adults are able to exercise more autonomy over the feature, receiving periodic prompts for its voluntary activationWhen this feature detects an explicit image, it automatically blurs the image with cautionary overlay, enabling recipients to make an informed decision about whether or not they wish to view the flagged content. The decision to introduce this feature is an interesting and sensitive approach to balancing individual agency with institutionalising online protection.
Comprehensive Safety Measures Beyond Nudity Detection
The cutting-edge nudity protection feature is a crucial element of Instagram’s new strategy and is supported by a comprehensive set of measures devised to tackle sextortion and ensure a safe cyber environment for its users:
Awareness Drives and Safety Tips - Users sending and receiving sexually explicit content are directed to a screen with curated safety tips to ensure complete user awareness and inspire due diligence. These safety tips are critical in raising awareness about the risks of sharing sensitive content and inculcating responsible online behaviour.
New Technology to Identify Sextortionists - Meta Platforms are constantly evolving, and new sophisticated algorithms are introduced to better detect malicious accounts engaged in possible sextortion. These proactive measures check for any predatory behaviour so that such threats can be neutralised before they escalate and do grave harm.
Superior Reporting and Support Mechanisms - Instagram is implementing new technology to bolster its reporting mechanisms so that users reporting concerns pertaining to nudity, sexual exploitation and threats are instantaneously directed to local child safety authorities for necessary support and assistance.
This new sophisticated approach highlights Instagram's Commitment to forging a safer haven for users by addressing various aspects of this grim issue through the three-pronged strategy of detection, prevention and support.
User’s Safety and Accountability
The implementation of the nudity protection feature and various associated safety measures is Meta’s way of tackling the growing concern about user safety in a more proactive manner, especially when it concerns minors. Instagram’s experience with this feature will likely be the sandbox in which Meta tests its new user protection strategy and refines it before extending it to other platforms like Facebook and WhatsApp.
Critical Reception and Future Outlook
The nudity protection feature has been met with positive feedback from experts and online safety advocates, commending Instagram for taking a proactive stance against sextortion and exploitation. However, critics also emphasise the need for continued innovation, transparency, and accountability to effectively address evolving threats and ensure comprehensive protection for all users.
Conclusion
As digital spaces continue to evolve, Meta Platforms must demonstrate an ongoing commitment to adapting its safety measures and collaborating with relevant stakeholders to stay ahead of emerging challenges. Ongoing investment in advanced technology, user education, and robust support systems will be crucial in maintaining a secure and responsible online environment. Ultimately, Instagram's nudity protection feature represents a significant step forward in the fight against online sexual exploitation and abuse. By leveraging cutting-edge technology, fostering user awareness, and implementing comprehensive safety protocols, Meta Platforms is setting a positive example for other social media platforms to prioritise user safety and combat predatory behaviour in digital spaces.
References
- https://www.nbcnews.com/tech/tech-news/instagram-testing-blurring-nudity-messages-protect-teens-sextortion-rcna147402
- https://techcrunch.com/2024/04/11/meta-will-auto-blur-nudity-in-instagram-dms-in-latest-teen-safety-step/
- https://hypebeast.com/2024/4/instagram-dm-nudity-blurring-feature-teen-safety-info
