Executive brief
NVIDIA Megatron Bridge is a library used for distributed training of large machine learning models. An attacker could exploit unsafe deserialization to execute arbitrary code, modify data, or steal sensitive information from systems running this software.
Technical details
The vulnerability exists in NVIDIA Megatron Bridge and involves unsafe deserialization of untrusted data. An attacker can supply malicious serialized objects that, when deserialized by the application, lead to arbitrary code execution. The attack vector and authentication requirements are not fully specified in the available information, but deserialization vulnerabilities typically occur when the application processes untrusted input without proper validation. A successful exploit can result in remote code execution, data tampering, and information disclosure depending on the application context and privileges.
Affected products
- NVIDIA Megatron Bridge
Timeline
- 2026-09-01: disclosed