Executive brief
NVIDIA Megatron Bridge is a library used for training large distributed machine learning models. An attacker could exploit an unsafe deserialization vulnerability to execute arbitrary code, tamper with model data, or steal sensitive information from systems running the affected software.
Technical details
The vulnerability is a deserialization of untrusted data (CWE-502) in NVIDIA Megatron Bridge. An attacker with network access or the ability to provide a malicious serialized object can trigger unsafe deserialization, leading to remote code execution. The attack requires the application to deserialize attacker-controlled data without proper validation. Successful exploitation results in code execution with the privileges of the running process, enabling data tampering and information disclosure. Patches should be available from NVIDIA.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed