Technology
Fortifying Digital Frontiers: Lessons and Strategies from the Ronin Network Hack
By Junaid Ijaya and Femi Babatunde
In the ever-evolving space of digital finance, where the currency of choice fluctuates as swiftly as the internet’s whims, the Ronin Network Hack of 2022 served as a stark reminder of the high stakes involved. Picture this: a playground for the modern gamer and financier, where fortunes in the form of digital tokens swing with every click—a universe where even virtual Axies (charming digital creatures) are worth millions. But amidst this digital gold rush, a nefarious plot unfolded, one that would see over $625 million vanish into the ether.
This was not just any heist. It was a breach that shook the very foundations of the blockchain gaming and decentralized finance (DeFi) sectors, highlighting vulnerabilities that went far beyond a mere loss of assets. The Ronin Network, designed as a fortress guarding the bustling economy of Axie Infinity, fell victim to an assault that was as sophisticated as it was devastating. This case study explores the intricate details of the attack, unravelling the layers of security that were bypassed and the subsequent shockwaves that rippled through the digital domain. Here, we explore why this incident stands out in the crowded field of recent cybersecurity breaches, serving as a critical lesson for stakeholders across the fintech landscape.
2.0 Understanding the Ronin Network
Have you ever been curious about what’s behind the surge of new gaming and financial platforms that are more than just fun but also potentially profitable? Meet blockchain technology, specifically Ethereum and its customized sidechain, Ronin, which have been game changers in this field of financial gamification.
Ethereum expands on the basic concept of blockchain, which traditionally supported transactions like those seen in Bitcoin. It introduces a platform where developers can create decentralized applications (dApps) through smart contracts. These are programs that automate agreements and transactions directly on the blockchain, making operations not only more efficient but also secure and transparent.
One of the most innovative applications of this technology is the Ronin Network, tailored specifically for Axie Infinity—a game that has become a standard-bearer for the “Play-to-Earn” model. In Axie Infinity, players engage in more than just gameplay; they participate in a mini-economy, breeding, raising, and battling creatures called Axies to earn cryptocurrency rewards. This setup was ideal for Ethereum’s capabilities, but it highlighted some limitations in terms of transaction costs and speeds. Ronin was developed to address these issues, providing a sidechain solution that supports quicker and cheaper transactions while maintaining robust security.
What Axie Infinity does is showcase how blockchain can bridge entertainment with real economic incentives, turning gaming into a platform not only for enjoyment but also for financial gains. This paradigm shift not only alters how games are played but also introduces a new way for players to engage in and understand economic systems in a digital era.
3.0 Details of the hack
When $625 million disappears from a network designed to be ultra-secure, it makes you wonder: How could this happen? Let’s peel back the layers of the Ronin Network hack to understand the technical nuances and the security lapses that allowed this dramatic heist to unfold.
The Ronin Network, an Ethereum sidechain developed to support the bustling digital economy of Axie Infinity, was breached on March 23, 2022. The attackers used a method known as “social engineering” to initiate the breach. They targeted the network’s validators, who are responsible for confirming transactions on the blockchain. By exploiting the trust and verification mechanisms between these validators, the hackers managed to execute their plan.
But how exactly did they get in? The breach was primarily facilitated through the compromise of private keys. In blockchain technology, private keys are akin to the most secure passwords. Possessing them essentially grants full control over the associated resources. In the case of Ronin, the attackers obtained access to five out of the nine validator nodes. According to reports, this was enough to form a consensus group, allowing them to authorize fraudulent transactions (Sky Mavis, 2022).
Here’s where it gets interesting: the attackers specifically targeted a backdoor in the gas-free RPC node, which was initially instituted to facilitate free transactions for convenience. Once they accessed the RPC node, they forged fake withdrawals. It’s like finding a spare key under the mat; once inside, they had free reign.
This method of attack raises a critical question: In an age where digital fortresses are supposed to be impregnable, how could such a simple oversight occur? The truth is, even the most secure networks can have vulnerabilities that are overlooked until exploited. The Ronin hack underscores the need for rigorous security protocols at every layer of network operations, especially on decentralized platforms where multiple validators are involved. It also highlights the paradox of blockchain security: the balance between user convenience and stringent security measures is a tightrope walk.
In the aftermath of the Ronin Network heist, the spotlight wasn’t just on the staggering $625 million that evaporated but also on the glaring security vulnerabilities it revealed. So, what were these weak spots, and why were they so critical in the scheme of this digital break-in?
First, let’s talk about the over-reliance on a limited number of validators. Ronin operates on a smaller consensus model with only nine validators—a stark contrast to Ethereum’s thousands. While this structure allows for faster and cheaper transactions, it inherently reduces the network’s resistance to certain types of attacks. Essentially, gaining control over a majority of these validators, as the hackers did, is akin to holding the master key to the network. It’s like if only nine people had the code to the city’s main vault; compromise a few, and you’re in.
Moreover, the use of a “gas-free RPC node” exposed a significant security flaw. Designed to ease transaction processes, this node became the hackers’ golden gate. It was supposed to be a convenient feature, but who thought convenience could cost so much? This feature was exploited to initiate unauthorized transactions without triggering standard security protocols. This kind of vulnerability begs the question: In trying to streamline and simplify, are we inadvertently lowering the drawbridge for attackers?
Another critical point was the insufficient security measures around the authentication processes for these validators. The fact that social engineering could be used so effectively to compromise key components of the network’s security architecture suggests a lapse in both technical safeguards and operational security training. It’s a classic case of underestimating the human element in cybersecurity. Could stronger, multifactor authentication and more rigorous security training for all personnel involved have thwarted the attackers?
Reflecting on these vulnerabilities exposes a broader issue in the blockchain space. As networks like Ronin seek to balance performance with decentralization, how much risk are they willing to accept? And more importantly, how can these networks bolster their defences without compromising the principles of decentralization that make blockchain technology so revolutionary? These are not just rhetorical questions but real challenges that need addressing if blockchain networks are to be trusted as the financial infrastructure of the future. Where do you think—where should the line be drawn between convenience and security in blockchain architectures?
Junaid is a cybersecurity engineer and cloud solutions architect and Femi is a technical product manager and quantitative researcher
By Adedapo Adesanya
Lagos State’s representative, Team Nevo, won the 3 Million Technical Talent (3MTT) South-West Regional Hackathon, on Tuesday, December 9, 2025.
The host state took the victory defeating pitches from other south west states, including Oyo, Ogun, Osun, Ekiti, and Ondo States.
This regional hackathon was a major moment for the 3MTT Programme, bringing together young innovators from across the South-West to showcase practical solutions in AI, software development, cybersecurity, data analysis, and other key areas of Nigeria’s digital future.
Launched by the Federal Ministry of Communications, Innovation, and Digital Economy, the hackathon brought together talented young innovators from across the Southwest region to showcase their digital solutions in areas such as Artificial Intelligence (AI)/Machine Learning, software development, data analysis, and cybersecurity, among others.
“This event not only highlights the potential of youth in South West but also advances the digital economy, fosters innovation, and creates job opportunities for our young people,” said Mr Oluwaseyi Ayodele, the Lagos State Community Manager.
Winning the hackaton was Team Nevo, made up of Miss Lydia Solomon and Mr Teslim Sadiq, whose inclusive AI learning tool which tailors academic learning experiences to skill sets of students got the top nod, with N500,000 in prize money.
Team Oyo represented by Microbiz, an AI business tool solution, came in second place winning N300,000 while Team Ondo’s Fincoach, a tool that guides individuals and businesses in marking smarter financial decisions, came third with N200,000 in prize money.
Others include The Frontiers (Team Osun), Ecocycle (Team Ogun), and Mindbud (Team Ekiti).
Speaking to Business Post, the lead pitcher for Team Nevo, Miss Solomon, noted, “It was a very lovely experience and the opportunity and access that we got was one of a kind,” adding that, “Expect the ‘Nevolution’ as we call it, expect the transformation of the educational sector and how Nevo is going to bring inclusion and a deeper level of understanding and learning to schools all around Nigeria.”
Earlier, during his keynote speech, the chief executive officer (CEO) of Sterling Bank, Mr Abubakar Suleiman, emphasised the need for Nigeria’s budding youth population to tap into the country’s best comparative advantage, drawing parallels with commodities and resources like cocoa, soyabeans, and uranium.
“Tech is our best bet to architect a comparative advantage. The work we are doing with technologies are very vital to levelling the playing field.”
By Aduragbemi Omiyale
One of the high points of the 2025 re:Invent was the unveiling of Graviton5, the fifth generation of custom Arm-based server processors from Amazon Web Services (AWS).
Many tech enthusiasts believe that the company pushed the limits with Graviton5, its most powerful and efficient CPU, frontier agents that can work autonomously for days, an expansion of the Amazon Nova model family, Trainium3 UltraServers, and AWS AI Factories suitable for implementing AI infrastructure in customers’ existing data centres.
Graviton5—the company’s most powerful and efficient CPU
As cloud workloads grow in complexity, organizations face a persistent challenge to deliver faster performance at lower costs and meet sustainability commitments without trade-offs.
AWS’ new Graviton5-based Amazon EC2 M9g delivers up to 25% higher performance than its previous generation, with 192 cores per chip and 5x larger cache.
For the third year in a row, more than half of new CPU capacity added to AWS is powered by Graviton, with 98 per cent of the top 1,000 EC2 customers—including Adobe, Airbnb, Epic Games, Formula 1, Pinterest, SAP, and Siemens—already benefiting from Graviton’s price performance advantages.
Expansion of Nova family of models and pioneers “open training” with Nova Forge
Amazon is expanding its Nova portfolio with four new models that deliver industry-leading price-performance across reasoning, multimodal processing, conversational AI, code generation, and agentic tasks. Nova Forge pioneers “open training,” giving organizations access to pre-trained model checkpoints and the ability to blend proprietary data with Amazon Nova-curated datasets.
Nova Act achieves breakthrough 90% reliability for browser-based UI automation workflows built by early customers. Companies like Reddit are using Nova Forge to replace multiple specialized models with a single solution, while Hertz accelerated development velocity by 5x with Nova Act.
Addition of 3 frontier agents, a new class of AI agents that work as an extension of your software development team
Frontier agents represent a step-change in what agents can do. They’re autonomous, scalable, and can work for hours or days without intervention. AWS announced three frontier agents—Kiro autonomous agent, AWS Security Agent, and AWS DevOps Agent. Kiro autonomous agent acts as a virtual developer for your team, AWS Security Agent is your own security consultant, and AWS DevOps Agent is your on-call operational team.
Companies, including Commonwealth Bank of Australia, SmugMug, and Wester Governors University have used one or more of these agents to transform the software development lifecycle.
Unveiling Trainium3 UltraServers
As AI models grow in size and complexity, training cutting-edge models requires infrastructure investments that only a handful of organizations can afford.
Amazon EC2 Trn3 UltraServers, powered by AWS’s first 3nm AI chip, pack up to 144 Trainium3 chips into a single integrated system, delivering up to 4.4x more compute performance and 4x greater energy efficiency than Trainium2 UltraServers.
Customers achieve 3x higher throughput per chip while delivering 4x faster response times, reducing training times from months to weeks. Customers including Anthropic, Karakuri, Metagenomi, NetoAI, Ricoh, and Splash Music are reducing training and inference costs by up to 50 per cent with Trainium, while Decart is achieving 4x faster inference for real-time generative video at half the cost of GPUs, and Amazon Bedrock is already serving production workloads on Trainium3.
By Adedapo Adesanya
The National Information Technology Development Agency (NITDA) has issued an advisory on new vulnerabilities in ChatGPT that could expose users to data-leakage attacks.
According to the advisory, researchers discovered seven vulnerabilities affecting GPT-4o and GPT-5 models that allow attackers to manipulate ChatGPT through indirect prompt injection.
The agency explained that hidden instructions placed inside webpages, comments, or Uniform Resource Locators (URLs) can trigger unintended commands during regular browsing, summarisation, or search actions.
“By embedding hidden instructions in webpages, comments, or crafted URLs, attackers can cause ChatGPT to execute unintended commands simply through normal browsing, summarization, or search actions,” they stated.
The warning followed rising concerns about AI-powered tools interacting with unsafe web content and the growing dependence on ChatGPT for business, research, and public-sector tasks.
NITDA added that some flaws allow the bypassing of safety controls by masking malicious content behind trusted domains.
Other weaknesses take advantage of markdown rendering bugs, enabling hidden instructions to pass undetected.
It explained that in severe cases, attackers can poison ChatGPT’s memory, forcing the system to retain malicious instructions that influence future conversations
They stated that while OpenAI has fixed parts of the issue, Large-Language Models (LLMs) still struggle to reliably separate genuine user intent from malicious data.
The Agency warned that these vulnerabilities could lead to a range of cybersecurity threats, including unauthorised actions carried out by the model; unintended exposure of user information; manipulated or misleading outputs; and long-term behavioural changes caused by memory poisoning, among others.
It advised Nigerians, businesses, and government institutions to adopt several precautionary steps to stay safe. These include limiting or disabling the browsing and summarisation of untrusted websites within enterprise environments and enabling features like browsing or memory only when necessary.
It also recommended regular updates to deployed GPT-4o and GPT-5 models to ensure known vulnerabilities are patched.
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