NVIDIA TensorRT-LLM up to 1.3.0 rc12 Code Generation information disclosure

Summaryinfo

A vulnerability was found in NVIDIA TensorRT-LLM up to 1.3.0 rc12. It has been rated as problematic. This impacts an unknown function of the component Code Generation. Performing a manipulation results in information disclosure. This vulnerability was named CVE-2026-24226. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in NVIDIA TensorRT-LLM up to 1.3.0 rc12. It has been classified as problematic. This affects an unknown function of the component Code Generation. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

NVIDIA TensorRT-LLM for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.

This vulnerability is uniquely identified as CVE-2026-24226 since 01/21/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• NVIDIA

Name

• TensorRT-LLM

Version

• 1.3.0 rc12

License

• commercial

Website

• Vendor: https://www.nvidia.com/

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Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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