| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| NVIDIA CUDA toolkit for all platforms contains a vulnerability in the nvdisasm binary, where a user could cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability might lead to a partial denial of service. |
| NVIDIA CUDA toolkit for all platforms contains a vulnerability in the nvdisasm binary, where a user could cause a NULL pointer exception by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability might lead to a partial denial of service. |
| NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in the cuobjdump binary, where a user could cause a crash by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service. |
| NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in the cuobjdump binary, where a user could cause a crash by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service. |
| The NVIDIA NVDebug tool contains a vulnerability that may allow an actor to gain access to restricted components. A successful exploit of this vulnerability may lead to information disclosure. |
| NVIDIA ChatRTX for Windows contains a vulnerability in the ChatRTX UI and backend, where a user can cause a clear-text transmission of sensitive information issue by data sniffing. A successful exploit of this vulnerability might lead to information disclosure. |
| NVIDIA ChatRTX for Windows contains a vulnerability in ChatRTX UI, where a user can cause an improper privilege management issue by exploiting interprocess communication between different processes. A successful exploit of this vulnerability might lead to information disclosure, escalation of privileges, and data tampering. |
| NVIDIA ChatRTX for Windows contains a vulnerability in Chat RTX UI, where a user can cause an improper privilege management issue by sending user inputs to change execution flow. A successful exploit of this vulnerability might lead to information disclosure, escalation of privileges, and data tampering. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds read by manipulating shared memory data. A successful exploit of this vulnerability might lead to information disclosure. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds read by sending a request. A successful exploit of this vulnerability might lead to information disclosure. |
| NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a memory allocation with excessive size value, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through specially crafted inputs. A successful exploit of this vulnerability might lead to denial of service and data tampering. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause uncontrolled recursion through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause an integer overflow or wraparound, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause an integer overflow or wraparound, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where multiple requests could cause a double free when a stream is cancelled before it is processed. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause the shared memory limit to be exceeded by sending a very large request. A successful exploit of this vulnerability might lead to information disclosure. |
