Vulnerabilidades

Media Encoder is affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to disclose sensitive information. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Media Encoder is affected by an out-of-bounds write vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

Media Encoder is affected by a Stack-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API where an attacker could trigger a reachable assertion in the sampler thread. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA TensorRT-LLM contains a vulnerability where an attacker could cause a write-what-where condition. A successful exploit of this vulnerability might lead to data tampering, denial of service, and information disclosure.

NVIDIA TensorRT-LLM contains a vulnerability in its inter-process communication layer where an attacker with local same-user access could cause deserialization. A successful exploit of this vulnerability might lead to code execution, information disclosure, data tampering, and denial of service.

NVIDIA TensorRT-LLM for any platform contains a vulnerability in tensor deserialization, where an attacker could cause a heap based buffer overflow. A successful exploit of this vulnerability might lead to information disclosure, data tampering, or denial of service.

NVIDIA TensorRT-LLM for any platform contains a vulnerability in the gRPC server chat API endpoint, where an attacker could cause CWE-20 by local attack. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA TensorRT contains a vulnerability where an attacker might cause an overflow to a heap-based buffer. A successful exploit of this vulnerability might lead to code execution.

NVIDIA TensorRT-LLM contains a vulnerability in the OpenAI-compatible inference API, where an attacker could cause allocation of GPU resources without limits or throttling. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA TensorRT contains a vulnerability where an attacker might cause a heap-based buffer overflow. A successful exploit of this vulnerability might lead to code execution.

NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause missing authentication for a critical function. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.

NVIDIA TensorRT for contains a vulnerability where an attacker might cause an improper validation of array index. A successful exploit of this vulnerability might lead to code execution.

NVIDIA TensorRT-LLM for Linux contains a vulnerability in the multimodal media fetching functions, where a network-accessible attacker could cause server-side request forgery. A successful exploit of this vulnerability might lead to denial of service and information disclosure.

NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data…

NVIDIA TensorRT-LLM for Linux contains a vulnerability in the disaggregated orchestrator component, where an attacker could read, write, or delete internal cluster state by sending requests to the FastAPI server. A successful exploit of this vulnerability might lead to information disclosure, data tampering, and…

NVIDIA TensorRT for contains a vulnerability where a user might cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution.

NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause missing release of memory after effective lifetime. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an authentication bypass through an alternative path or channel. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause an uncaught exception. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause the use of an expired file descriptor. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause a stack-based buffer overflow. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause uncontrolled resource consumption. A successful exploit of this vulnerability might lead to denial of service.