Growing Cyber Threats in India: Policy, Technology, and Public Awareness Solutions

Introduction

The unprecedented cyber espionage attempt on the Indian Air Force has shocked the military fraternity in the age of the internet where innovation is vital to national security. The attackers have shown a high degree of expertise in their techniques, using a variant of the infamous Go Stealer and current military acquisition pronouncements as a cover to obtain sensitive information belonging to the Indian Air Force. In this recent cyber espionage revelation, the Indian Air Force faces a sophisticated attack leveraging the infamous Go Stealer malware. The timing, coinciding with the Su-30 MKI fighter jets' procurement announcement, raises serious questions about possible national security espionage actions.

A sophisticated attack using the Go Stealer malware exploits defense procurement details, notably the approval of 12 Su-30 MKI fighter jets. Attackers employ a cunningly named ZIP file, "SU-30_Aircraft_Procurement," distributed through an anonymous platform, Oshi, taking advantage of heightened tension surrounding defense procurement.

Advanced Go Stealer Variant:

The malware, coded in Go language, introduces enhancements, including expanded browser targeting and a unique data exfiltration method using Slack, showcasing a higher level of sophistication.

Strategic Targeting of Indian Air Force Professionals:

The attack strategically focuses on extracting login credentials and cookies from specific browsers, revealing the threat actor's intent to gather precise and sensitive information.

Timing Raises Espionage Concerns:

The cyber attack coincides with the Indian Government's Su-30 MKI fighter jets procurement announcement, raising suspicions of targeted attacks or espionage activities.

The Deceitful ZIP ArchiveSU-30 Aircraft Acquisition

The cyberattack materialised as a sequence of painstakingly planned actions. Using the cleverly disguised ZIP file "SU-30_Aircraft_Procurement," the perpetrators took benefit of the authorisation of 12 Su-30 MKI fighter jets by the Indian Defense Ministry in September 2023. Distributed via the anonymous file storage network Oshi, the fraudulent file most certainly made its way around via spam emails or other forms of correspondence.

The Spread of Infection and Go Stealer Payload:

The infiltration procedure progressed through a ZIP file to an ISO file, then to a.lnk file, which finally resulted in the Go Stealer payload being released. This Go Stealer version, written in the programming language Go, adds sophisticated capabilities, such as a wider range of browsing focussed on and a cutting-edge technique for collecting information using the popular chat app Slack.

Superior Characteristics of the Go Stealer Version

Different from its GitHub equivalent, this Go Stealer version exhibits a higher degree of complexity. It creates a log file in the machine owned by the victim when it is executed and makes use of GoLang utilities like GoReSym for in-depth investigation. The malware focuses on cookies and usernames and passwords from web browsers, with a particular emphasis on Edge, Brave, and Google Chrome.

This kind is unique in that it is more sophisticated. Its deployment's cyber enemies have honed its strengths, increasing its potency and detection resistance. Using GoLang tools like GoReSym for comprehensive evaluation demonstrates the threat actors' careful planning and calculated technique.

Go Stealer: Evolution of Threat

The Go Stealer first appeared as a free software project on GitHub and quickly became well-known for its capacity to stealthily obtain private data from consumers who aren't paying attention. Its effectiveness and stealthy design rapidly attracted the attention of cyber attackers looking for a sophisticated tool for clandestine data exfiltration. It was written in the Go programming language.

Several cutting-edge characteristics distinguish the Go Stealer from other conventional data thieves. From the beginning, it showed a strong emphasis on browser focusing on, seeking to obtain passwords and login information from particular websites including Edge, Brave, and Google Chrome.The malware's initial iteration was nurtured on the GitHub database, which has the Go Stealer initial edition. Threat actors have improved and altered the code to serve their evil goals, even if the basic structure is freely accessible.

The Go Stealer version that has been discovered as the cause of the current internet spying by the Indian Air Force is not limited to its GitHub roots. It adds features that make it more dangerous, like a wider range of browsers that may be targeted and a brand-new way to exfiltrate data via Slack, a popular messaging app.

Secret Communications and Information Expulsion

This variation is distinguished by its deliberate usage of the Slack API for secret chats. Slack was chosen because it is widely used in company networks and allows harmful activity to blend in with normal business traffic. The purpose of the function "main_Vulpx" is specifically to upload compromised information to the attacker's Slack route, allowing for covert data theft and communication.

The Time and Strategic Objective

There are worries about targeted assaults or espionage activities due to the precise moment of the cyberattack, which coincides with the Indian government's declaration of its acquisition of Su-30 MKI fighter fighters. The deliberate emphasis on gathering cookies and login passwords from web browsers highlights the threat actor's goal of obtaining accurate and private data from Indian Air Force personnel.

Using Caution: Preventing Possible Cyber Espionage

• Alertness Against Misleading Techniques: Current events highlight the necessity of being on the lookout for files that appear harmless but actually have dangerous intent. The Su-30 Acquisition ZIP file is a stark illustration of how these kinds of data might be included in larger-scale cyberespionage campaigns.
• Potentially Wider Impact: Cybercriminals frequently plan coordinated operations to target not just individuals but potentially many users and government officials. Compromised files increase the likelihood of a serious cyber-attack by opening the door for larger attack vectors.
• Important Position in National Security: Recognize the crucial role people play in the backdrop of national security in the age of digitalisation. Organised assaults carry the risk of jeopardising vital systems and compromising private data.
• Establish Strict Download Guidelines: Implement a strict rule requiring file downloads to only come from reputable and confirmed providers. Be sceptical, particularly when you come across unusual files, and make sure the sender is legitimate before downloading any attachments.
• Literacy among Government Employees: Acknowledge that government employees are prime targets as they have possession of private data. Enable people by providing them with extensive cybersecurity training and awareness that will increase their cognition and fortitude.

Conclusion

Indian Air Force cyber surveillance attack highlights how sophisticated online dangers have become in the digital era. Threat actors' deliberate and focused approach is demonstrated by the deceptive usage of a ZIP archive that is camouflaged and paired with a sophisticated instance of the Go Stealer virus. An additional level of complication is introduced by integrating Slack for covert communication. Increased awareness, strict installation guidelines, and thorough cybersecurity education for government employees are necessary to reduce these threats. In the digital age, protecting national security necessitates ongoing adaptation as well as safeguards toward ever-more potent and cunning cyber threats.

References

• ‍https://www.overtoperator.com/p/indianairforcemalwaretargetpotential
• ‍https://cyberunfolded.in/blog/indian-air-force-targeted-in-sophisticated-cyber-attack-with-su-30-procurement-zip-file#go-stealer-a-closer-look-at-its-malicious-history
• ‍https://thecyberexpress.com/cyberattack-on-the-indian-air-force/https://therecord.media/indian-air-force-infostealing-malware

‍

Introduction

There is a rising desire for artificial intelligence (AI) laws that limit threats to public safety and protect human rights while allowing for a flexible and inventive setting. Most AI policies prioritize the use of AI for the public good. The most compelling reason for AI innovation as a valid goal of public policy is its promise to enhance people's lives by assisting in the resolution of some of the world's most difficult difficulties and inefficiencies and to emerge as a transformational technology, similar to mobile computing. This blog explores the complex interplay between AI and internet governance from an Indian standpoint, examining the challenges, opportunities, and the necessity for a well-balanced approach.

Understanding Internet Governance

Before delving into an examination of their connection, let's establish a comprehensive grasp of Internet Governance. This entails the regulations, guidelines, and criteria that influence the global operation and management of the Internet. With the internet being a shared resource, governance becomes crucial to ensure its accessibility, security, and equitable distribution of benefits.

The Indian Digital Revolution

India has witnessed an unprecedented digital revolution, with a massive surge in internet users and a burgeoning tech ecosystem. The government's Digital India initiative has played a crucial role in fostering a technology-driven environment, making technology accessible to even the remotest corners of the country. As AI applications become increasingly integrated into various sectors, the need for a comprehensive framework to govern these technologies becomes apparent.

AI and Internet Governance Nexus

The intersection of AI and Internet governance raises several critical questions. How should data, the lifeblood of AI, be governed? What role does privacy play in the era of AI-driven applications? How can India strike a balance between fostering innovation and safeguarding against potential risks associated with AI?

• AI's Role in Internet Governance: 

Artificial Intelligence has emerged as a powerful force shaping the dynamics of the internet. From content moderation and cybersecurity to data analysis and personalized user experiences, AI plays a pivotal role in enhancing the efficiency and effectiveness of Internet governance mechanisms. Automated systems powered by AI algorithms are deployed to detect and respond to emerging threats, ensuring a safer online environment.

A comprehensive strategy for managing the interaction between AI and the internet is required to stimulate innovation while limiting hazards. Multistakeholder models including input from governments, industry, academia, and civil society are gaining appeal as viable tools for developing comprehensive and extensive governance frameworks.

The usefulness of multistakeholder governance stems from its adaptability and flexibility in requiring collaboration from players with a possible stake in an issue. Though flawed, this approach allows for flaws that may be remedied using knowledge-building pieces. As AI advances, this trait will become increasingly important in ensuring that all conceivable aspects are covered.

The Need for Adaptive Regulations

While AI's potential for good is essentially endless, so is its potential for damage - whether intentional or unintentional. The technology's highly disruptive nature needs a strong, human-led governance framework and rules that ensure it may be used in a positive and responsible manner. The fast emergence of GenAI, in particular, emphasizes the critical need for strong frameworks. Concerns about the usage of GenAI may enhance efforts to solve issues around digital governance and hasten the formation of risk management measures.

Several AI governance frameworks have been published throughout the world in recent years, with the goal of offering high-level guidelines for safe and trustworthy AI development. The OECD's "Principles on Artificial Intelligence" (OECD, 2019), the EU's "Ethics Guidelines for Trustworthy AI" (EU, 2019), and UNESCO's "Recommendations on the Ethics of Artificial Intelligence" (UNESCO, 2021) are among the multinational organizations that have released their own principles. However, the advancement of GenAI has resulted in additional recommendations, such as the OECD's newly released "G7 Hiroshima Process on Generative Artificial Intelligence" (OECD, 2023).

Several guidance documents and voluntary frameworks have emerged at the national level in recent years, including the "AI Risk Management Framework" from the United States National Institute of Standards and Technology (NIST), a voluntary guidance published in January 2023, and the White House's "Blueprint for an AI Bill of Rights," a set of high-level principles published in October 2022 (The White House, 2022). These voluntary policies and frameworks are frequently used as guidelines by regulators and policymakers all around the world. More than 60 nations in the Americas, Africa, Asia, and Europe had issued national AI strategies as of 2023 (Stanford University).

Conclusion

Monitoring AI will be one of the most daunting tasks confronting the international community in the next centuries. As vital as the need to govern AI is the need to regulate it appropriately. Current AI policy debates too often fall into a false dichotomy of progress versus doom (or geopolitical and economic benefits versus risk mitigation). Instead of thinking creatively, solutions all too often resemble paradigms for yesterday's problems. It is imperative that we foster a relationship that prioritizes innovation, ethical considerations, and inclusivity. Striking the right balance will empower us to harness the full potential of AI within the boundaries of responsible and transparent Internet Governance, ensuring a digital future that is secure, equitable, and beneficial for all.

References

1. The Key Policy Frameworks Governing AI in India - Access Partnership
2. AI in e-governance: A potential opportunity for India (indiaai.gov.in)
3. India and the Artificial Intelligence Revolution - Carnegie India - Carnegie Endowment for International Peace
4. Rise of AI in the Indian Economy (indiaai.gov.in)
5. The OECD Artificial Intelligence Policy Observatory - OECD.AI
6. Artificial Intelligence | UNESCO
7. Artificial intelligence | NIST

Introduction

Misinformation is a major issue in the AI age, exacerbated by the broad adoption of AI technologies. The misuse of deepfakes, bots, and content-generating algorithms have made it simpler for bad actors to propagate misinformation on a large scale. These technologies are capable of creating manipulative audio/video content, propagate political propaganda, defame individuals, or incite societal unrest. AI-powered bots may flood internet platforms with false information, swaying public opinion in subtle ways. The spread of misinformation endangers democracy, public health, and social order. It has the potential to affect voter sentiments, erode faith in the election process, and even spark violence. Addressing misinformation includes expanding digital literacy, strengthening platform detection capabilities, incorporating regulatory checks, and removing incorrect information.

AI's Role in Misinformation Creation

AI's growth in its capabilities to generate content have grown exponentially in recent years. Legitimate uses or purposes of AI many-a-times take a backseat and result in the exploitation of content that already exists on the internet. One of the main examples of misinformation flooding the internet is when AI-powered bots flood social media platforms with fake news at a scale and speed that makes it impossible for humans to track and figure out whether the same is true or false.

The netizens in India are greatly influenced by viral content on social media. AI-generated misinformation can have particularly negative consequences. Being literate in the traditional sense of the word does not automatically guarantee one the ability to parse through the nuances of social media content authenticity and impact. Literacy, be it social media literacy or internet literacy, is under attack and one of the main contributors to this is the rampant rise of AI-generated misinformation. Some of the most common examples of misinformation that can be found are related to elections, public health, and communal issues. These issues have one common factor that connects them, which is that they evoke strong emotions in people and as such can go viral very quickly and influence social behaviour, to the extent that they may lead to social unrest, political instability and even violence. Such developments lead to public mistrust in the authorities and institutions, which is dangerous in any economy, but even more so in a country like India which is home to a very large population comprising a diverse range of identity groups. 

Misinformation and Gen AI

Generative AI (GAI) is a powerful tool that allows individuals to create massive amounts of realistic-seeming content, including imitating real people's voices and creating photos and videos that are indistinguishable from reality. Advanced deepfake technology blurs the line between authentic and fake. However, when used smartly, GAI is also capable of providing a greater number of content consumers with trustworthy information, counteracting misinformation. 

Generative AI (GAI) is a technology that has entered the realm of autonomous content production and language creation, which is linked to the issue of misinformation. It is often difficult to determine if content originates from humans or machines and if we can trust what we read, see, or hear. This has led to media users becoming more confused about their relationship with media platforms and content and highlighted the need for a change in traditional journalistic principles.

We have seen a number of different examples of GAI in action in recent times, from fully AI-generated fake news websites to fake Joe Biden robocalls telling the Democrats in the U.S. not to vote. The consequences of such content and the impact it could have on life as we know it are almost too vast to even comprehend at present. If our ability to identify reality is quickly fading, how will we make critical decisions or navigate the digital landscape safely? As such, the safe and ethical use and applications of this technology needs to be a top global priority. 

Challenges for Policymakers

AI's ability to generate anonymous content makes it difficult to hold perpetrators accountable due to the massive amount of data generated. The decentralised nature of the internet further complicates regulation efforts, as misinformation can spread across multiple platforms and jurisdictions. Balancing the need to protect the freedom of speech and expression with the need to combat misinformation is a challenge. Over-regulation could stifle legitimate discourse, while under-regulation could allow misinformation to propagate unchecked. India's multilingual population adds more layers to already-complex issue, as AI-generated misinformation is tailored to different languages and cultural contexts, making it harder to detect and counter. Therefore, developing strategies catering to the multilingual population is necessary.

Potential Solutions

To effectively combat AI-generated misinformation in India, an approach that is multi-faceted and multi-dimensional is essential. Some potential solutions are as follows:

• Developing a framework that is specific in its application to address AI-generated content. It should include stricter penalties for the originator and spreader and dissemination of fake content in proportionality to its consequences. The framework should establish clear and concise guidelines for social media platforms to ensure that proactive measures are taken to detect and remove AI-generated misinformation.
• Investing in tools that are driven by AI for customised detection and flagging of misinformation in real time. This can help in identifying deepfakes, manipulated images, and other forms of AI-generated content. 

• The primary aim should be to encourage different collaborations between tech companies, cyber security orgnisations, academic institutions and government agencies to develop solutions for combating misinformation. 
• Digital literacy programs will empower individuals by training them to evaluate online content. Educational programs in schools and communities teach critical thinking and media literacy skills, enabling individuals to better discern between real and fake content.

Conclusion

AI-generated misinformation presents a significant threat to India, and it is safe to say that the risks posed are at scale with the rapid rate at which the nation is developing technologically. As the country moves towards greater digital literacy and unprecedented mobile technology adoption, one must be cognizant of the fact that even a single piece of misinformation can quickly and deeply reach and influence a large portion of the population. Indian policymakers need to rise to the challenge of AI-generated misinformation and counteract it by developing comprehensive strategies that not only focus on regulation and technological innovation but also encourage public education. AI technologies are misused by bad actors to create hyper-realistic fake content including deepfakes and fabricated news stories, which can be extremely hard to distinguish from the truth. The battle against misinformation is complex and ongoing, but by developing and deploying the right policies, tools, digital defense frameworks and other mechanisms, we can navigate these challenges and safeguard the online information landscape.

References:

• https://economictimes.indiatimes.com/news/how-to/how-ai-powered-tools-deepfakes-pose-a-misinformation-challenge-for-internet-users/articleshow/98770592.cms?from=mdr 
• https://www.dw.com/en/india-ai-driven-political-messaging-raises-ethical-dilemma/a-69172400 
• https://pure.rug.nl/ws/portalfiles/portal/975865684/proceedings.pdf#page=62 

‍