1214 matches found
GHSA-33CG-GXV8-3P8G vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
GHSA-3WW4-5JV9-J5GM vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
GHSA-RWXX-MRJM-WC2M vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
CVE-2026-41523 vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
CVE-2026-55574 vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
CVE-2026-55514 vulnerabilities
Vulnerabilities for packages: vllm-openai-cuda-12.9, tritonserver-backend-vllm-cuda-13.0...
Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.6 (CUDA)
Red Hat AI Inference Server 3.3.6 CUDA is now available. Red Hat® AI Inference Server...
Important: Red Hat Security Advisory: Red Hat AI Inference 3.4.4 (cuda)
Red Hat AI Inference 3.4.4 cuda is now available. Red Hat AI Inference...
Moderate: Red Hat Security Advisory: Red Hat AI Inference Model Optimization Tools 3.4.4 (cuda)
Red Hat AI Inference Model Optimization Tools 3.4.4 cuda is now available. Red Hat AI Inference Model Optimization Tools...
SUSE CVE-2026-73558
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x 2 d in activationkernels.cu can cause actandmulkernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or...
CVE-2026-57516 vulnerabilities
Vulnerabilities for packages: lmcache-cuda-12.8...
GHSA-HHRP-GW25-JR43 vulnerabilities
Vulnerabilities for packages: lmcache-cuda-12.8...
GO-2025-3828 vulnerabilities
Vulnerabilities for packages: nvidia-nsight-compute-13.0, nvidia-nsight-compute-13.1, kubeflow-katib, nemo, nvidia-nsight-compute-12.8, nvidia-nsight-compute-12.9, newrelic-fluent-bit-output, nvidia-nsight-compute-13.2, agentbeat...
CVE-2026-73558
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x 2 d in activationkernels.cu can cause actandmulkernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or...
CVE-2026-73558
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x 2 d in activationkernels.cu can cause actandmulkernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or...
CVE-2026-73558 vLLM: Cross-User Data Leak Vulnerability
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x 2 d in activationkernels.cu can cause actandmulkernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or...
CVE-2026-73558 vLLM: Cross-User Data Leak Vulnerability
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x 2 d in activationkernels.cu can cause actandmulkernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or...
PT-2026-71673
Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.27.0 Description An integer overflow occurs in the calculation blockIdx.x 2 d within the activation kernels.cu file. This flaw can cause the act and mul kernel function to consume input from another user within the sam...
Amazon Linux 2023 : cuda-compat-13-0 (ALAS2023NVIDIA-2026-313)
It is, therefore, affected by a vulnerability as referenced in the ALAS2023NVIDIA-2026-313 advisory. NVIDIA Display Driver for Windows and Linux contains a vulnerability where an attacker could cause an out- of-bounds write. A successful exploit of this vulnerability might lead to denial of...
Important: cuda-compat
Issue Overview: NVIDIA Display Driver for Windows and Linux contains a vulnerability where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to denial of service, escalation of privileges, information disclosure, data tampering, and code...