CVE-2026-61768: NVIDIA Megatron Bridge unsafe deserialization

CVE-2026-61768 · Severity: high · CVSS 7.8 · Published 2026-09-01

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.

Technologies: Nvidia Megatron-Bridge, Nvidia Nemo Megatron Bridge. Vendors: Nvidia.

Quick answers

Is CVE-2026-61768 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-61768 being exploited in the wild.
How severe is CVE-2026-61768?
High severity, with a CVSS score of 7.8, published 1 September 2026.
Which products and versions are affected?
NVIDIA Megatron Bridge.
Is there a fix for CVE-2026-61768?
No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
How is CVE-2026-61768 attacked?
It is attacked over the network.
Am I affected by CVE-2026-61768?
Check whether you run Nvidia Megatron-Bridge or Nvidia Nemo Megatron Bridge. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

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

References

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