How hackers use GPUs to accelerate attacks

Cyber criminals are becoming more adept at finding and exploiting potential victims by the day. In the sea of new tools and practices hackers use, GPU technology and its optimizations have become increasingly popular. But what do graphics processing units have to do with cyber attacks, and how do criminals leverage this technology?

We offer answers to this and related questions below. Read on to learn how hackers use GPUs to accelerate attacks, all the involved risks, and what you can do to protect your digital identity and sensitive information.

What is a GPU?

A GPU, or a graphics processing unit, is a specialized processor used for high-performance computing in a range of fields. Originally, the technology was used exclusively for rapid image, video, and 3D graphics rendering. However, the chips’ extensive parallel processing capabilities have expanded their application over time.

The ability to break down large datasets into smaller parts and process thousands of tasks simultaneously made GPUs suitable for resolving a range of problems. The technology is now integral to machine learning, AI, gaming, scientific computing, and more.

GPUs are found in various electronic devices that need to process or display images, from smartphones and computers to workstations and servers. They can be integrated into the central processing unit or the system’s motherboard, if the goal is power efficiency, or they can be separate elements that plug into the motherboard for more power.

What makes GPUs vulnerable to cyber threats?

GPU’s ability to handle intensive computational tasks makes this technology a powerful tool in cybercrime.

Researchers at the University of California, Riverside, have discovered attacks targeting both the computational and graphics stacks to exploit the user counter in the GPU. This counter, meant for performance tracking, runs in user mode and is open to any process. Once a user unknowingly downloads malware, it can tap into that counter, spy on the system, and send the data back to the hacker.

Nvidia, a company that has pioneered GPU-accelerated computing, has also confirmed 17 vulnerabilities in its virtual GPU software and display drivers recently. These security flaws affect GeForce, Quadro, Tesla, Nvidia RTX, NVS, and Tesla across both Windows and Linux. They act like backdoors in the system, giving hackers a way to run malicious code on your PC and steal sensitive information.

Studies focused on WebGPU have also found attacks that run through web browsers using JavaScript. Users only need to visit websites hosting malicious WebGPU code. Simply staying on the page for a few minutes can trigger the attack. Hackers can use inter-keystroke timing to steal passwords or extract GPU-based AES encryption keys.

How hackers leverage GPUs

Hackers leverage GPUs to launch and accelerate attacks on password hashes, cryptographic keys, and networks using their processing power.

• This technology can test billions of passwords per second and convert hashes into a string representation. Depending on the types of hash involved and the length of the password, the time to decrypt may vary. However, it’s far faster and more effective than other methods.
• It’s the perfect tool for malware strains like advanced rootkits and cryptominers, which thrive on stealth and control of system resources. GPUs keep rootkits hidden while they maintain access to your system. They also give cryptominers the power to mine, often as part of ransomware schemes, helping attackers profit from the infection without users' knowledge.
• GPUs’ ability to quickly scan and sort vast amounts of data allows hackers to filter, route, or flood networks with Distributed Denial-of-Service (DDoS) attacks. These attacks overwhelm websites with massive amounts of traffic, disrupting services and causing outages, which help hackers deploy malware, steal data, request ransom, and commit other crimes.

One reason hackers choose GPUs for these cyberattacks is their ability to hide malicious activity. More security protocols are focused on the CPU and its operations, which makes the GPU the perfect tool for evading detection.

Attacks mask malicious code as standard graphic processing and manipulate GPU drivers and APIs. They make the most of GPU vulnerabilities, such as memory corruption and buffer overflows, allowing hackers to carry out an attack without triggering the traditional security defenses.

How do hackers choose their targets?

Anyone who uses electronic devices can technically fall victim to a GPU-based cyber attack. After all, GPUs are part of or plugged into all modern electronic devices to allow them to work. However, hackers tend to target computers with powerful GPUs because of their processing potential.

Graphics processing units are designed to handle complex tasks, such as mathematical calculations and rendering visuals, on a regular basis. According to reports, these may be powerful gaming devices or computers used by architects, graphic designers, or engineers.

Cybercriminals also target databases that they believe are packed with valuable information. These may be devices and servers used by companies, government institutions, and similar organizations more so than average computer and mobile users. Still, you should keep in mind that WebGPU attacks that rely on web-based tools like browsers will target anyone who visits a malicious website.

How to protect against GPU cyber attacks

The rise of GPUs in cybercrime highlights the need for you to strengthen your cybersecurity. Here are a few practical tips to help you get started:

• Create strong passwords. Make your passwords at least 10 characters long, with numbers, special characters, uppercase, and lowercase letters. This is called salting, and it creates unique hashes even for identical passwords, which are much harder to decrypt.
• Keep your system up to date. Run regular updates on your GPU drivers and software to patch out newly discovered vulnerabilities. Nvidia has recommended this step as the first line of defense in its statement regarding recent security flaws.
• Monitor your GPU. Use tools that supervise GPU usage, discover anomalous activity, and detect intrusion. Think security software like Endpoint Detection and Response (EDR) solutions, which cover both CPU and GPU.
• Use a GPU for cybersecurity. Hiring cloud GPU technology, which hosting services like Liquid Web offer, can provide a strong enough defense against cybercrime. Its parallel computing powers may streamline threat detection and improve encryption.

Benefits of a GPU for cybersecurity

You can benefit from the same GPU capabilities hackers exploit in their cyber attacks. We discuss how in more detail below.

• Fast threat detection. GPUs have enough power to carry out real-time analysis of system activity, including encrypted traffic and logs. Its high-speed pattern matching and machine learning inference help spot threats faster.
• Improved defence against malware. They help analyze code without running it, observe malware behavior in a safe environment, and compare new samples to old ones to spot similarities and evolution.
• Breach prevention. GPUs use machine learning to catch emerging threats and adjust their defense strategies to anticipate new attack methods. This capability enables them to block breaches before they cause damage to your system.
• Scalable protection. Renting a cloud GPU allows you to adjust its usage to your current security needs. You can scale it up and down at any time, without complex hardware installation or bank-breaking costs.

How to implement GPUs for cybersecurity

You can simply purchase advanced hardware and install it on your premises. However, this can be quite an investment, which doesn’t suit smaller or tight-budget companies, and it's not flexible enough to fit varying workloads and processing requirements. Thankfully, hosting GPU services successfully address all these issues.

GPU server hosting provides companies that need an edge in terms of cybersecurity with remote access to this technology. They can lease GPUs through the internet and leverage all its capabilities in a more straightforward way.

• This solution eliminates high hardware acquisition and installation costs, as most GPU hosting services work on a pay-as-you-go model. You choose a pricing plan you can afford without locking yourself into a long-term contract.
• It allows for a fast deployment. You can use the service in a matter of minutes, rather than waiting for professionals to set up and configure the hardware for days on end.
• Most GPU hosting services offer a free trial and a money-back guarantee so you can test the performance and potential benefits firsthand before committing.
• Leasing a cloud GPU leaves infrastructure management and maintenance to the provider and comes with round-the-clock technical support, all at no extra charge.
• It’s far more flexible than on-premises GPU because you can customize it to your needs and scale it with time to meet new demands without worrying about component compatibility issues.
• You get access to the latest, updated hardware without a massive investment.

Conclusion

Hackers’ use of GPUs in cybercrime has become a growing issue for companies as much as for everyday internet users. GPUs’ parallel processing allows criminals to bypass standard defenses and crack passwords, steal sensitive data, mine crypto, crash networks, and more.

That’s why staying alert and reinforcing your digital defense matters more than ever. Besides monitoring your system’s performance and boosting the safeguards you use, adding GPU support to your cybersecurity toolkit can make a real difference.

If you hire a GPU from a hosting provider, you can avoid installation and maintenance costs while still tapping into the latest cutting-edge GPU capabilities.

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