| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| NVIDIA Triton Inference Server contains a vulnerability in the DALI backend where an attacker may cause an improper input validation issue. A successful exploit of this vulnerability may lead to code execution. |
| NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the nvdisasm binary where a user may cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability may lead to a partial denial of service. |
| NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the cuobjdump binary where a user may cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability may lead to a partial denial of service. |
| NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a divide by zero error by submitting a specially crafted JPEG file. A successful exploit of this vulnerability may lead to denial of service. |
| NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a GPU out-of-bounds write by providing certain image dimensions. A successful exploit of this vulnerability may lead to denial of service and information disclosure. |
| NVIDIA CUDA Toolkit contains a vulnerability in cuobjdump, where an unprivileged user can cause a NULL pointer dereference. A successful exploit of this vulnerability may lead to a limited denial of service. |
| NVIDIA Container Toolkit contains an improper isolation vulnerability where a specially crafted container image could lead to untrusted code running in the host’s network namespace. This vulnerability is present only when the NVIDIA Container Toolkit is configured in a nondefault way. A successful exploit of this vulnerability may lead to denial of service and escalation of privileges. |
| NVIDIA Container Toolkit contains an improper isolation vulnerability where a specially crafted container image could lead to untrusted code obtaining read and write access to host devices. This vulnerability is present only when the NVIDIA Container Toolkit is configured in a nondefault way. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. |
| NVIDIA Container Toolkit contains an improper isolation vulnerability where a specially crafted container image could lead to modification of a host binary. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. |
| NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the cuobjdump binary, where a failure to check the length of a buffer could allow a user to cause the tool to crash or execute arbitrary code by passing in a malformed ELF file. A successful exploit of this vulnerability might lead to arbitrary code execution. |
| NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering. |
| NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering. |
| NVIDIA Triton Inference Server contains a vulnerability where a user may cause an out-of-bounds read issue by releasing a shared memory region while it is in use. A successful exploit of this vulnerability may lead to denial of service. |
| NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where a user can inject forged logs and executable commands by injecting arbitrary data as a new log entry. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where a user may cause an incorrect Initialization of resource by network issue. A successful exploit of this vulnerability may lead to information disclosure. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause a remote code execution by manipulating the model name parameter in the model control APIs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data tampering. |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an out-of-bounds write 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 memory corruption by identifying and accessing the shared memory region used by the Python backend. 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 a denial of service by loading a misconfigured model. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA Container Toolkit for Linux contains a Time-of-Check Time-of-Use (TOCTOU) vulnerability when used with default configuration, where a crafted container image could gain access to the host file system. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. |
