Executive brief
NVIDIA Megatron Bridge is a distributed training framework used to build large-scale machine learning models. An attacker can exploit a deserialization flaw by supplying malicious serialized data, potentially executing arbitrary code, modifying training data, or accessing sensitive model information on affected systems.
Technical details
The vulnerability is a deserialization of untrusted data flaw in NVIDIA Megatron Bridge. An attacker can craft malicious serialized payloads that, when deserialized by the application, execute arbitrary code on the system. The attack requires the ability to provide untrusted data to the deserialization routine; depending on deployment context, this may be network-accessible. A successful exploit can lead to remote code execution, data tampering, and information disclosure. Patch availability is not confirmed in the advisory text.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed