CVE-2026-65120: NVIDIA TensorRT-LLM server-side request forgery

CVE-2026-65120 · Severity: high · CVSS 7.1 · Published 2026-10-27

NVIDIA TensorRT-LLM is a library for deploying and optimizing large language model inference on NVIDIA hardware. A server-side request forgery vulnerability allows an attacker to manipulate the application into making unintended network requests, potentially exposing sensitive information or gaining unauthorized access to internal systems.

Technologies: Nvidia TensorRT-LLM. Vendors: Nvidia.

Quick answers

Is CVE-2026-65120 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-65120 being exploited in the wild.
How severe is CVE-2026-65120?
High severity, with a CVSS score of 7.1, published 27 October 2026.
Which products and versions are affected?
NVIDIA TensorRT-LLM.
Is there a fix for CVE-2026-65120?
No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
How is CVE-2026-65120 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-65120?
Check whether you run Nvidia TensorRT-LLM. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

Technical details

A server-side request forgery (SSRF) vulnerability in TensorRT-LLM permits an attacker to trigger uncontrolled HTTP requests from the affected server. The vulnerability likely stems from insufficient validation of user-supplied URLs or parameters used in network operations. Successful exploitation could lead to information disclosure from internal resources, though specific attack vector details and authentication requirements are not fully documented.

Affected products

  • NVIDIA TensorRT-LLM

Timeline

  • 2026-10-27: disclosed

References

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