Filtered by vendor Nvidia
Subscriptions
Total
870 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2024-0097 | 2 Microsoft, Nvidia | 2 Windows, Chatrtx | 2025-09-17 | 7.5 High |
| 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. | ||||
| CVE-2024-0096 | 2 Microsoft, Nvidia | 2 Windows, Chatrtx | 2025-09-17 | 7.5 High |
| 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. | ||||
| CVE-2025-23333 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 5.9 Medium |
| 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. | ||||
| CVE-2025-23334 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 5.9 Medium |
| 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. | ||||
| CVE-2025-23335 | 3 Linux, Microsoft, Nvidia | 3 Linux Kernel, Windows, Triton Inference Server | 2025-08-12 | 4.4 Medium |
| 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. | ||||
| CVE-2025-23331 | 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 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. | ||||
| CVE-2025-23327 | 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 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. | ||||
| CVE-2025-23326 | 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 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. | ||||
| CVE-2025-23325 | 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 where an attacker could cause uncontrolled recursion through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service. | ||||
| CVE-2025-23324 | 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 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. | ||||
| CVE-2025-23323 | 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 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. | ||||
| CVE-2025-23322 | 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 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. | ||||
| CVE-2025-23321 | 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 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. | ||||
| 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-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. | ||||