# CVE-2026-47471: NVIDIA TensorRT-LLM heap buffer overflow in tensor deserialization

Source: https://junglewise.ai/threats/cve-2026-47471-nvidia-tensorrt-llm-heap-buffer-overflow-in-tensor  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-14. Updated: 2026-07-14  
License: CC BY 4.0 with a link back

CVE-2026-47471 · Severity: high · CVSS 7.5 · Published 2026-07-14

NVIDIA TensorRT-LLM, a library used to optimize the performance of Large Language Models (LLMs), contains a security vulnerability in how it processes data. An attacker with access to the local network could provide a specially crafted file that causes the system to crash or potentially allows unauthorized access to sensitive information. This could lead to service disruptions or the theft of proprietary data handled by the AI model.

Technologies: [Nvidia TensorRT-LLM](https://junglewise.ai/threats/technologies/tensorrt-llm). Vendors: [Nvidia](https://junglewise.ai/threats/vendors/nvidia).

## Quick answers

**Is CVE-2026-47471 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-47471 being exploited in the wild.

**How severe is CVE-2026-47471?** High severity, with a CVSS score of 7.5, published 14 July 2026.

**Which products and versions are affected?** Nvidia TensorRT-LLM up to and including v1.3.0 rc16.

**Is there a fix for CVE-2026-47471?** 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-2026-47471 attacked?** It is attacked from the adjacent network, in a software library.

**Am I affected by CVE-2026-47471?** Check whether you run Nvidia TensorRT-LLM at an affected version. 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 heap-based buffer overflow vulnerability (CWE-122) exists in NVIDIA TensorRT-LLM during the tensor deserialization process. The flaw is triggered when the library processes a maliciously crafted tensor, leading to memory corruption. The attack vector is classified as 'Adjacent,' meaning the attacker must be on the same local network or subnet as the target. While the attack complexity is high and requires no user interaction or privileges, a successful exploit allows for arbitrary code execution, data modification, or a complete denial of service. The vulnerability affects versions up to and including v1.3.0 rc16.

## Affected products

- NVIDIA TensorRT-LLM up to and including v1.3.0 rc16

## Timeline

- 2026-07-14: disclosed: Initial publication of CVE-2026-47471 by NVIDIA

## References

- [https://www.cve.org/CVERecord?id=CVE-2026-47471](https://www.cve.org/CVERecord?id=CVE-2026-47471)

## Related threats

- [NVIDIA TensorRT-LLM server-side request forgery](https://junglewise.ai/threats/cve-2026-65120-nvidia-tensorrt-llm-contains-a-vulnerability-where-an-attacker)
- [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)