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Latest coverage for Nvidia

Nvidia provides GPUs, drivers, and software used in AI and computing; flaws in these components can expose systems, data, and workloads.

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Nvidia develops graphics processing units (GPUs), accelerator cards, system-on-chip platforms, and the drivers and software stacks that control them. Its hardware is used in workstations, cloud systems, high-performance computing, and AI infrastructure; security news under this tag therefore commonly concerns device firmware, kernel drivers, GPU runtimes, management tools, and software libraries rather than the silicon alone.

Security advisories matter because flaws in drivers or privileged GPU components can allow local code to crash systems, gain elevated access, or cross intended isolation boundaries, depending on the affected platform. Shared GPU servers also require careful tenant and data isolation: residual data in device memory or insecure accelerator-management interfaces can expose workloads. Operators should track Nvidia security bulletins, inventory driver and firmware versions, obtain updates through trusted channels, restrict management endpoints, and test upgrades against dependent CUDA or AI workloads. Vulnerability assessment should include container and orchestration integrations, since a GPU-enabled workload may receive additional host access.

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Oligo Security has warned of ongoing attacks exploiting a two-year-old security flaw in the Ray open-source artificial intelligence (AI) framework to turn infected clusters with NVIDIA GPUs into a self-replicating cryptocurrency mining botnet

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang

This week, cyber attackers are moving quickly, and businesses need to stay alert. They’re finding new weaknesses in popular software and coming up with clever ways to get around security. Even one unpatched flaw could let attackers in, leading to data theft or even taking control of your systems. The clock is ticking—if defenses aren’t updated regularly, it could lead to serious damage. The

A newly disclosed set of security flaws in NVIDIA's Triton Inference Server for Windows and Linux, an open-source platform for running artificial intelligence (AI) models at scale, could be exploited to take over susceptible servers

The Hacker News 1 year, 11 months ago

The AI Hangover is Here – The End of the Beginning

After a good year of sustained exuberance, the hangover is finally here. It’s a gentle one (for now), as the market corrects the share price of the major players (like Nvidia, Microsoft, and Google), while other players reassess the market and adjust priorities. Gartner calls it the trough of disillusionment, when interest wanes and implementations fail to deliver the promised breakthroughs.

The Hacker News 4 years, 2 months ago

Everything We Learned From the LAPSUS$ Attacks

In recent months, a cybercriminal gang known as LAPSUS$ has claimed responsibility for a number of high-profile attacks against technology companies, including: T-Mobile (April 23, 2022) Globant  Okta Ubisoft Samsung Nvidia Microsoft Vodafone In addition to these attacks, LAPSUS$ was also able to successfully launch a ransomware attack against the Brazilian Ministry of Health