Executive brief
NVIDIA Megatron Bridge is a machine learning framework component used to optimize model training and inference. A deserialization vulnerability allows an attacker to execute arbitrary code, modify data, or steal sensitive information if they can supply malicious serialized input to the system.
Technical details
The vulnerability is a classic unsafe deserialization flaw in NVIDIA Megatron Bridge, where untrusted data is deserialized without proper validation. An attacker who can provide a malicious serialized payload—likely through a network interface or file input—can achieve remote code execution, data tampering, or information disclosure. The attack requires the ability to influence serialized data fed to the framework, but does not appear to require authentication. A patch is expected from NVIDIA.
Affected products
- NVIDIA Megatron Bridge <UNKNOWN>
Timeline
- 2026-09-01: disclosed