Executive brief
NVIDIA Megatron Bridge is a deep learning framework component used to train large AI models. An attacker could exploit a deserialization flaw to execute arbitrary code, modify data, or steal sensitive information from systems running the affected software.
Technical details
This vulnerability is a classic unsafe deserialization flaw in NVIDIA Megatron Bridge. The vulnerability allows an attacker to provide untrusted serialized data that, when deserialized, executes arbitrary code on the target system. The attack requires the ability to supply crafted input to the deserialization function, which could occur through network exposure, compromised data sources, or model loading operations. Successful exploitation can lead to remote code execution, data tampering, and information disclosure. Patches should be available from NVIDIA's security advisories.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed