CVE-2026-65119

NVIDIA TensorRT-LLM contains a server-side request forgery (SSRF) vulnerability that an attacker could exploit. Successful exploitation may lead to information disclosure.

NVIDIA TensorRT-LLM contains a server-side request forgery (SSRF) vulnerability that an attacker could exploit. Successful exploitation may lead to information disclosure and data tampering.

A vulnerability in the NVIDIA TensorRT-LLM library has been found in the OpenAI-compatible inference API. An attacker can trigger a reachable assertion in the sampler thread, leading to denial of service.

NVIDIA TensorRT-LLM contains a vulnerability that could allow an attacker to trigger a write-what-where condition. Successful exploitation may lead to data tampering, denial of service, and information disclosure.

A vulnerability in NVIDIA TensorRT-LLM's inter-process communication layer allows an attacker with local same-user access to trigger deserialization. Successful exploitation could lead to code execution, information disclosure, data tampering, and denial of service.

A vulnerability in NVIDIA TensorRT-LLM during tensor deserialization allows an attacker to trigger a heap-based buffer overflow. This could lead to information disclosure, data tampering, or denial of service.

NVIDIA TensorRT-LLM contains a vulnerability in the gRPC server chat API endpoint, allowing a local attacker to trigger CWE-20 (improper input validation). Successful exploitation could lead to denial of service (DoS).

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-LLM for Linux contains a vulnerability that could allow an attacker to bypass authentication for a critical function. Successful exploitation may lead to code execution, data tampering, and information disclosure.

A vulnerability in NVIDIA TensorRT-LLM for Linux exists in the multimodal media fetching functions, allowing a network-accessible attacker to perform server-side request forgery (SSRF). Successful exploitation could lead to denial of service and information disclosure.