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

Source: https://junglewise.ai/threats/cve-2026-65120-nvidia-tensorrt-llm-contains-a-vulnerability-where-an-attacker  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-10-27. Updated: 2026-10-27  
License: CC BY 4.0 with a link back

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](https://junglewise.ai/threats/technologies/tensorrt-llm). Vendors: [Nvidia](https://junglewise.ai/threats/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

- [https://github.com/NVIDIA/product-security/tree/main/2026/5883](https://github.com/NVIDIA/product-security/tree/main/2026/5883)
- [https://www.cve.org/CVERecord?id=CVE-2026-65120](https://www.cve.org/CVERecord?id=CVE-2026-65120)

## Related threats

- [NVIDIA TensorRT-LLM untrusted tokenizer loading in KvCacheAwareRouter](https://junglewise.ai/threats/cve-2026-65119-nvidia-tensorrt-llm-for-any-platform-contains-a-vulnerability-in)
- [NVIDIA TensorRT-LLM server-side request forgery](https://junglewise.ai/threats/cve-2026-24269-nvidia-tensorrt-llm-contains-a-vulnerability-where-an-attacker)
- [NVIDIA TensorRT-LLM denial of service in OpenAI-compatible API](https://junglewise.ai/threats/cve-2026-47475-nvidia-tensorrt-llm-denial-of-service-in-openai-compatible-api)
- [NVIDIA TensorRT-LLM write-what-where condition](https://junglewise.ai/threats/cve-2026-47473-nvidia-tensorrt-llm-write-what-where-condition)
- [NVIDIA TensorRT-LLM deserialization in IPC layer](https://junglewise.ai/threats/cve-2026-47472-nvidia-tensorrt-llm-deserialization-in-ipc-layer)