github

In the world of cybersecurity, attackers are always evolving, finding new ways to hide in plain sight, and one of the latest examples shows just how creative they’ve become. The case of the Astaroth banking trojan demonstrates how hackers are now using legitimate platforms like GitHub to stay invisible to security experts while continuing to steal sensitive information

It all begins with a simple phishing email that looks completely normal, often disguised as an official message asking you to download an important document. The attached file, usually with a .lnk extension that appears harmless, is actually a trap. Once opened, it silently installs malware onto your device and begins its work in the background. What follows is a stealthy operation where the trojan quietly records your keystrokes, capturing logins, passwords, and other personal data connected to your bank accounts and crypto wallets. All that stolen information is then sent back to the attackers who control the malware’s network

But the truly fascinating part is how Astaroth manages to remain undetected for so long. Most trojans rely on a central command server that coordinates all infected machines. Once authorities discover and take down that server, the entire operation falls apart. Astaroth, however, doesn’t play by those rules. Instead, it uses GitHub — the same platform developers use to host and share open-source code — as part of its communication system. The malware doesn’t store any dangerous files there but hides a small configuration file in a GitHub repository. That file contains new instructions, such as where to connect next if the main server goes offline. In essence, GitHub acts as a message board for the trojan, telling it where to find the next command center without ever raising suspicion

According to cybersecurity experts at McAfee, this trick makes Astaroth remarkably resilient. Even if one part of its infrastructure is destroyed, it can quickly recover and continue its operations using legitimate channels that no one expects to be part of a cyberattack. To make things even more sophisticated, the trojan is programmed to avoid drawing attention from analysts in certain countries. If it detects that it’s running on a system based in the United States or another English-speaking region, it deletes itself immediately, leaving no trace behind. Its main focus has been users in South America, particularly in Brazil, Argentina, and Chile, where it has caused significant damage

So what can regular users do in the face of such clever tactics? The answers may sound familiar, but they are more important than ever. Never open attachments or click on links from unknown senders, no matter how legitimate they appear. Keep your antivirus software updated and make sure it’s actively monitoring your system. Most importantly, use two-factor authentication on all your critical accounts, especially for online banking and crypto exchanges. Even if your password is stolen, the attacker will need an additional code to access your funds

The Astaroth case is a powerful reminder that even trusted and widely used platforms like GitHub can be misused for malicious purposes. It challenges the very idea of online safety, showing that in today’s digital landscape, the line between good and bad tools depends entirely on how they’re used. Perhaps there is no truly safe place on the internet anymore only safer habits and smarter vigilance that help us stay one step ahead

#GitHub #Cybersecurity #CryptoNews #McAfee #OnlineSafety

The AI landscape is evolving at lightning speed, and DeepSeek R1 is at the forefront of this revolution. Now available on Azure AI Foundry and GitHub, this groundbreaking AI model is set to redefine how developers and businesses approach data search, analysis, and pattern recognition. Whether you’re a seasoned data scientist or just beginning your AI journey, DeepSeek R1 offers powerful new tools to enhance your AI-driven applications.

What is DeepSeek R1?

DeepSeek R1 is a state-of-the-art AI-powered tool designed to quickly analyze and retrieve valuable insights from vast datasets. Utilizing advanced deep learning techniques, it efficiently recognizes patterns, makes predictions, and uncovers trends that are often hidden in complex data. What sets DeepSeek R1 apart is its ability to perform these tasks in real-time, delivering actionable results faster than traditional methods.

For businesses across sectors like healthcare, finance, and marketing, the ability to harness these insights is transformative. Imagine analyzing millions of customer interactions to uncover behavior trends or predicting healthcare outcomes from patient data—all made possible by DeepSeek R1.

Available on Azure AI Foundry -

With its integration into Azure AI Foundry, DeepSeek R1 becomes more accessible and scalable than ever. Azure’s robust cloud infrastructure enables users to deploy the model with ease, providing the computational power needed to handle even the most demanding AI tasks. Whether you’re a small startup or a large enterprise, you can now scale your AI projects effortlessly without worrying about hardware constraints.

Azure’s seamless cloud environment means developers can focus on building innovative solutions rather than managing the complexities of cloud deployment. This integration positions DeepSeek R1 as a powerful tool for businesses looking to incorporate AI into their operations quickly and efficiently.

Open Source on GitHub: A Community-Driven Revolution

In an exciting move to democratize AI development, DeepSeek R1 is now open source on GitHub. This open-access approach invites the global developer community to explore, modify, and contribute to the project, creating endless possibilities for innovation.

The GitHub release comes with detailed documentation, code samples, and tutorials to ensure users of all levels can integrate DeepSeek R1 into their applications. For developers looking to build on the model or make improvements, this open-source release gives them the flexibility to tailor DeepSeek R1 to meet specific needs. Whether you're improving its accuracy, adding new features, or exploring new use cases, DeepSeek R1 empowers the global AI community to take it further.

Real-World Use Cases

To put DeepSeek R1’s capabilities into perspective, consider its potential applications:

- Healthcare : Imagine AI models predicting patient health trends based on historical data, enabling preventative care or early intervention strategies.
- Finance : Financial institutions can use DeepSeek R1 to detect fraudulent transactions by recognizing unusual patterns in real-time.
- E-commerce : Retailers can enhance the customer experience by analyzing purchasing behavior and personalizing recommendations instantly.

These examples only scratch the surface. DeepSeek R1 can be adapted for virtually any industry that relies on big data.

Why This Matters for Developers and Businesses

For developers, DeepSeek R1 represents a golden opportunity. The open-source release on GitHub allows for customization, experimentation, and community collaboration. Developers can seamlessly integrate it into existing applications, improving everything from predictive analytics to decision-making processes. Moreover, it removes the need to build complex deep learning models from scratch, saving valuable time.

For businesses, the ability to leverage DeepSeek R1's AI model on **Azure** provides access to scalable, high-performance AI without significant upfront investment in infrastructure. The enhanced data insights fostered by this tool can lead to smarter, more informed decisions, ultimately driving efficiency, cost savings, and a better user experience.

Conclusion: The Future of AI

DeepSeek R1’s arrival on Azure AI Foundry and GitHub marks a new era for AI development. By combining the power of deep learning with cloud scalability and open-source flexibility, this tool opens new possibilities for both developers and businesses. Whether you're looking to enhance your data analytics capabilities, build cutting-edge AI applications, or contribute to the evolving AI landscape, DeepSeek R1 offers a path forward.

Don’t miss out on exploring DeepSeek R1. Dive into the code on GitHub or get started with Azure to see how this innovative AI tool can elevate your projects.

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#artificialintelligence #Github #Azure

Google запустила Magenta RealTime — новую нейросеть для создания музыки в режиме реального времени. Вместо генерации целых треков, модель создаёт музыку по 2 секунды за раз, что позволяет использовать её даже на слабом оборудовании.
Модель обучена на 190 000 часов инструментальной музыки из открытых источников (без вокала) и содержит 800 миллионов параметров. Она анализирует последние 10 секунд сгенерированной мелодии, обеспечивая музыкальную согласованность. Генерация одного фрагмента занимает около 1,25 секунды при запуске в Google Colab (бесплатный тариф).

Magenta RealTime — это развитие проекта Magenta, начатого в 2016 году как исследование творчества ИИ. Тогда появились первые эксперименты с генерацией музыки в стиле Баха и джаза. Новый подход делает процесс интерактивным и доступным: пользователь может направлять создание композиции по ходу генерации.
Исходный код опубликован на GitHub, модель доступна на Hugging Face, а демо работает в Google Colab.

А в это время криптомонета #WCT продолжает свой путь на просторах #BTC110KToday? $WCT
@WalletConnect а что ждёт нас дальше? :)
#AI #GoogleColab #Github