Executive brief
NVIDIA Megatron Bridge is a distributed training framework used to parallelize large machine learning models across multiple GPUs and nodes. The framework contains a deserialization vulnerability that could allow an attacker to execute arbitrary code, tamper with model data, or steal sensitive information from the training environment.
Technical details
The vulnerability is caused by unsafe deserialization of untrusted data in NVIDIA Megatron Bridge. An attacker can craft malicious serialized payloads that, when deserialized by the application, lead to remote code execution. The attack vector and preconditions (e.g., whether network access, authentication, or user interaction is required) are not fully specified in the advisory. A successful exploit enables code execution, data tampering, and information disclosure within the context of the affected process. Patches or mitigations are not detailed in the provided advisory text.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed