Filtered by vendor Nvidia
Subscriptions
Filtered by product Triton Inference Server
Subscriptions
Total
30 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2025-23320 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 7.5 High |
| 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. | ||||
| CVE-2025-23319 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 8.1 High |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write by sending a request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information disclosure. | ||||
| CVE-2025-23318 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 8.1 High |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure. | ||||
| CVE-2025-23317 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 9.1 Critical |
| NVIDIA Triton Inference Server contains a vulnerability in the HTTP server, where an attacker could start a reverse shell by sending a specially crafted HTTP request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information disclosure. | ||||
| CVE-2025-23311 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 9.8 Critical |
| NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause a stack overflow through specially crafted HTTP requests. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, or data tampering. | ||||
| CVE-2025-23310 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 9.8 Critical |
| NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause stack buffer overflow by specially crafted inputs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data tampering. | ||||
| CVE-2024-0103 | 1 Nvidia | 1 Triton Inference Server | 2025-07-12 | 5.4 Medium |
| 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. | ||||
| CVE-2024-0095 | 1 Nvidia | 1 Triton Inference Server | 2025-07-12 | 4.3 Medium |
| 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. | ||||
| CVE-2024-0116 | 1 Nvidia | 1 Triton Inference Server | 2025-07-12 | 4.9 Medium |
| 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. | ||||
| CVE-2023-31036 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-06-17 | 7.5 High |
| NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where, when it is launched with the non-default command line option --model-control explicit, an attacker may use the model load API to cause a relative path traversal. A successful exploit of this vulnerability may lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering. | ||||