Executive brief
NVIDIA Megatron Bridge is a deep learning framework component used for distributed training of large language models. A deserialization vulnerability allows an attacker to execute arbitrary code, tamper with model data, or steal sensitive training information if they can control serialized data fed to the system.
Technical details
The vulnerability exists in NVIDIA Megatron Bridge's deserialization logic, which unsafely processes untrusted serialized data. An attacker who can supply malicious serialized objects (e.g., via compromised model checkpoints, training data inputs, or network communication) can trigger code execution with the privileges of the Megatron process. No authentication is typically required if the attacker controls data ingestion points. The vulnerability enables arbitrary code execution, data tampering, and information disclosure. Patches are expected from NVIDIA.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed