Executive brief
NVIDIA Megatron Bridge is a distributed training framework used to parallelize large machine learning models across multiple GPUs. An attacker can exploit an unsafe deserialization vulnerability to execute arbitrary code, modify data, or steal sensitive information without authentication.
Technical details
The vulnerability is a classic unsafe deserialization flaw in NVIDIA Megatron Bridge that allows an attacker to deserialize untrusted data. The vulnerable component accepts serialized objects from the network without proper validation, enabling an unauthenticated attacker to craft malicious payloads that execute arbitrary code during deserialization. The attack requires network access to the affected service but no authentication. A successful exploit results in remote code execution, data tampering, and information disclosure on the target system.
Affected products
- NVIDIA Megatron Bridge <UNKNOWN>
Timeline
- 2026-09-01: disclosed