NVIDIA Patches Critical RCE Flaws Across AI and Enterprise Software
NVIDIA issued security updates for multiple products across its AI and enterprise software stack, fixing vulnerabilities that could allow remote code execution, denial of service, privilege escalation, data tampering, and information disclosure. The most severe issue disclosed in its broader March advisories was CVE-2025-33244 in NVIDIA Apex, a widely used PyTorch extension for mixed-precision and distributed training. High-severity flaws were also addressed in Triton Inference Server, Megatron LM, NeMo Framework, and Model Optimizer, with NVIDIA warning that exploitation could disrupt AI workloads, expose sensitive training data, or enable unauthorized access. Medium-severity issues were additionally listed in VIRTIO-Net, SNAP4, and B300 MCU.
NVIDIA later released urgent fixes for TensorRT-LLM and Isaac Launchable, including TensorRT-LLM deserialization flaws in MPI server and RPC testing components that could lead to RCE, data manipulation, information disclosure, or service outages. It also patched a Linux issue in Isaac Launchable involving sensitive information sent in clear text, creating risks of privilege escalation and system disruption. NVIDIA advised customers to upgrade TensorRT-LLM to 1.2.1 or later, and said organizations running multi-GPU deployments should use:
trtllm-llmapi-launch
to reduce network exposure. The company has also begun publishing PSIRT bulletins on GitHub in Markdown and CSAF formats to support automated vulnerability management and faster remediation.

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How this story unfolded
3 events from the most recent confirmed update back to the earliest known activity.
NVIDIA issues security update for NVTabular deserialization flaws
NVIDIA issued a security update for NVTabular to address two high-severity insecure deserialization vulnerabilities, CVE-2026-24237 and CVE-2026-24221. The flaws affected versions from 0.0 up to commit 5dd11f4, and NVIDIA recommended updating to commit 08e0633.
NVIDIA releases patches for TensorRT-LLM and Isaac Launchable flaws
NVIDIA released software updates to fix several vulnerabilities affecting TensorRT-LLM and Isaac Launchable, including deserialization issues that could enable remote code execution, data tampering, information disclosure, or denial of service. The fixes included guidance to upgrade TensorRT-LLM to version 1.2.1 or later and to use trtllm-llmapi-launch in multi-GPU environments.
NVIDIA publishes March 2026 security advisories for enterprise and AI software
On 2026-03-24, NVIDIA published security advisories covering multiple vulnerabilities across products including Apex, Triton Inference Server, Megatron LM, NeMo Framework, Model Optimizer, VIRTIO-Net, SNAP4, and B300 MCU. The flaws included risks such as remote code execution, denial of service, privilege escalation, and possible exposure of sensitive training data.
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NVIDIA NVTabular Vulnerability Patched
securityonline.info
Open sourceNVIDIA TensorRT-LLM Vulnerabilities Fixed in New Patch
securityonline.info
Open sourceCritical NVIDIA Vulnerabilities Enables RCE and DoS Attacks
cybersecuritynews.com
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