Executive brief
NVIDIA Megatron Bridge is a library used in distributed machine learning workloads for bridging communication between training components. A deserialization vulnerability allows attackers to inject malicious serialized data that could execute arbitrary code, tamper with training data, or steal sensitive model and configuration information during an active training session.
Technical details
The vulnerability is rooted in unsafe deserialization of untrusted data within NVIDIA Megatron Bridge, a distributed training framework component. An attacker who can supply malicious serialized objects to the deserialization routine can achieve remote code execution, data modification, or information disclosure. Attack preconditions likely include network access to the bridge component or the ability to inject data into the communication channel; no authentication bypass is indicated. The vulnerability impacts the integrity and confidentiality of machine learning training pipelines. Patches are expected to be available through NVIDIA's security advisory process.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed