CVE-2025-23245
NVIDIA TensorRT-LLM Python Executor Code Execution and Data Tampering Vulnerability
Description
NVIDIA vGPU software for Windows and Linux contains a vulnerability in the Virtual GPU Manager (vGPU plugin), where it allows a guest to access global resources. A successful exploit of this vulnerability might lead to denial of service.
INFO
Published Date :
May 1, 2025, 2:15 p.m.
Last Modified :
May 2, 2025, 1:53 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
Affected Products
The following products are affected by CVE-2025-23245
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-23245.
| URL | Resource |
|---|---|
| https://nvidia.custhelp.com/app/answers/detail/a_id/5630 |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-23245 vulnerability anywhere in the article.
-
Daily CyberSecurity
NVIDIA Fixes High-Severity Vulnerability in TensorRT-LLM
NVIDIA has released a security update for its TensorRT-LLM Framework, addressing a high-severity vulnerability that could expose users to serious security risks, including remote code execution, data ... Read more
The following table lists the changes that have been made to the
CVE-2025-23245 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 01, 2025
Action Type Old Value New Value Changed Description NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering. NVIDIA vGPU software for Windows and Linux contains a vulnerability in the Virtual GPU Manager (vGPU plugin), where it allows a guest to access global resources. A successful exploit of this vulnerability might lead to denial of service. Added CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Removed CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H Added CWE CWE-732 Removed CWE CWE-502 Added Reference https://nvidia.custhelp.com/app/answers/detail/a_id/5630 Removed Reference https://nvidia.custhelp.com/app/answers/detail/a_id/5648 -
New CVE Received by [email protected]
May. 01, 2025
Action Type Old Value New Value Added Description NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering. Added CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H Added CWE CWE-502 Added Reference https://nvidia.custhelp.com/app/answers/detail/a_id/5648
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-23245 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-23245
weaknesses.