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TrendAI™’s ÆSIR platform combines AI automation with expert oversight to discover zero-day vulnerabilities in AI infrastructure – 21 CVEs across NVIDIA, Tencent, and MLflow since mid-2025.
3 Major Tech Firms Shipped Vulnerable Open-Source Tools to Hugging FaceResearchers discovered remote code execution vulnerabilities in three AI libraries from Apple, Salesforce and Nvidia used by models with tens of millions of Hugging Face downloads, allowing attackers to hide malicious code in model metadata.
The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes automatically when a file containing the poisoned metadata is loaded.…
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
Security researchers discovered multiple vulnerabilities in AI infrastructure products, including one capable of remote code execution.
Wiz Research details flaws in Python backend that expose AI models and enable remote code execution Security researchers have lifted the lid on a chain of high-severity vulnerabilities that could lead to remote code execution (RCE) on Nvidia's Triton Inference Server.…
Cybersecurity researchers have disclosed a critical container escape vulnerability in the NVIDIA Container Toolkit that could pose a severe threat to managed AI cloud services
Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.
Trend Micro Finds Security Gap in Nvidia Container ToolkitUsers of software developed by AI powerhouse Nvidia for running containerized software on its GPU chips could still be vulnerable to hacks even if they applied a September 2024 patch, warns cybersecurity firm Trend Micro. The core issue lies in symbolic link handling.
A previously disclosed vulnerability in NVIDIA Container Toolkit has an incomplete patch, which, if exploited, could put a wide range of AI infrastructure and sensitive data at risk.
Vulnerability Tool Detected Flaws in OpenAI and Nvidia APIs Used in GitHub ProjectsSecurity researchers have developed an AI tool that can detect remote code flaws and arbitrary zero-day code in software. Protect AI applied the tool to nearly 10,000 GitHub projects and on CVSS data and uncovered local file inclusion, cross-site scripting and remote code flaws in APIs.
The vulnerability, discovered by Wiz researchers, affects both cloud-based and on-premises AI applications using the toolkit
A critical vulnerability in NVIDIA Container Toolkit impacts all AI applications in a cloud or on-premise environment that rely on it to access GPU resources. [...]
On Wednesday, NVIDA released updates to fix a critical vulnerability in its NVIDIA Container Toolkit, which, if exploited, could put a wide range of AI infrastructure and underlying data/secrets at risk.
Nvidia's latest GPUs are a hot commodity for AI, but security vulnerabilities could expose GPUs — which could be up to seven years old — to attacks from hackers.
Flaws enable privilege escalation and remote code execution Nvidia's AI-powered ChatRTX app launched just six week ago but already has received patches for two security vulnerabilities that enabled attack vectors, including privilege escalation and remote code execution.…
Reverse engineering yields sticky microarchitectural vulnerabilities Nvidia's ultra-dense GPU-driven AI training and inference systems are prone to covert and side channel attacks, according to research just published from a team led by Pacific Northwest National Laboratory (PNNL). This might be less concerning for those with on-prem DGX systems, but for cloud vendors selling time on the AI training boxes, the vulnerabilities are worth noting.…