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Vulnerability Database/CVE-2026-61776

CVE-2026-61776: Nvidia Nemo Megatron Bridge RCE Vulnerability

CVE-2026-61776 is a deserialization flaw in Nvidia Nemo Megatron Bridge enabling remote code execution, data tampering, and information disclosure. This article covers technical details, affected versions, and mitigation strategies.

Published:

CVE-2026-61776 Overview

NVIDIA Megatron Bridge contains an insecure deserialization vulnerability [CWE-502] that allows a local attacker with low privileges to trigger deserialization of untrusted data. Successful exploitation can lead to arbitrary code execution, data tampering, and information disclosure on the affected host.

The issue affects the nvidia:nemo_megatron_bridge component and is exploitable without user interaction. Because Megatron Bridge is used to orchestrate large-scale model training and inference workflows, exploitation can compromise the confidentiality and integrity of models, datasets, and intermediate artifacts processed by the bridge.

Critical Impact

A local attacker able to supply crafted serialized objects to Megatron Bridge can execute code in the context of the training or inference process, tamper with model data, and disclose sensitive information.

Affected Products

  • NVIDIA Nemo Megatron Bridge (all versions prior to the vendor fix, per cpe:2.3:a:nvidia:nemo_megatron_bridge:*)
  • Deployments consuming serialized checkpoints or configuration objects through Megatron Bridge
  • Multi-tenant AI infrastructure where local users share nodes running Megatron Bridge

Discovery Timeline

  • 2026-09-01 - CVE-2026-61776 published to NVD
  • 2026-09-02 - Last updated in NVD database

Technical Details for CVE-2026-61776

Vulnerability Analysis

The vulnerability is an insecure deserialization flaw [CWE-502] in NVIDIA Megatron Bridge. The component deserializes data from an attacker-influenced source without sufficient validation of the object graph or type constraints. An attacker who can place or influence a serialized artifact consumed by the bridge can achieve code execution when that artifact is loaded.

The attack requires local access and low privileges. No user interaction is needed. Impact spans confidentiality, integrity, and availability, since the deserialization occurs inside the same process that handles model weights, configuration, and training state.

Insecure deserialization in machine-learning tooling is a recurring pattern. Serialization formats used to persist model state and pipeline configuration frequently permit arbitrary callable resolution during load. When such artifacts cross trust boundaries between users on a shared node, they become an execution primitive.

Root Cause

The root cause is deserialization of untrusted data without enforcing a safe allowlist of types or using a restricted loader. The bridge trusts the structure and contents of the incoming serialized stream, permitting attacker-controlled gadgets to execute during object reconstruction.

Attack Vector

An attacker with local, low-privileged access to a system running Megatron Bridge places a crafted serialized artifact where the bridge will load it. When the bridge deserializes the artifact, embedded object-construction logic executes code under the identity of the bridge process. See the NVIDIA product security advisory for CVE-2026-61776 for vendor guidance.

No verified public exploit code is available for this CVE. The vulnerability mechanism aligns with the standard CWE-502 pattern: a serialized payload containing type references that resolve to callable objects during load. Refer to the NIST NVD entry for CVE-2026-61776 for authoritative technical metadata.

Detection Methods for CVE-2026-61776

Indicators of Compromise

  • Unexpected child processes spawned by Megatron Bridge Python interpreters, particularly shells, package managers, or network utilities.
  • Writes to serialized checkpoint or configuration paths (.pkl, .pt, .ckpt, .bin) by users other than the training service account.
  • Outbound network connections initiated during model or checkpoint load phases.
  • New or modified files under Megatron Bridge working directories that were not produced by a known training job.

Detection Strategies

  • Monitor process ancestry for Python or PyTorch processes loading Megatron Bridge that fork non-ML binaries such as /bin/sh, curl, or wget.
  • Alert on execve calls originating from deserialization stack frames during checkpoint or config load.
  • Enable filesystem auditing on directories that store serialized artifacts consumed by the bridge and flag writes from unauthorized UIDs.
  • Correlate local logon events with subsequent creation of serialized artifacts on shared GPU nodes.

Monitoring Recommendations

  • Baseline the set of binaries legitimately invoked during Megatron Bridge job execution and alert on deviations.
  • Ship endpoint telemetry, GPU node syslog, and job scheduler logs to a central data lake for cross-source correlation.
  • Track integrity of checkpoint directories using file hashes recorded when artifacts are produced by trusted pipelines.

How to Mitigate CVE-2026-61776

Immediate Actions Required

  • Upgrade NVIDIA Megatron Bridge to the fixed version identified in the NVIDIA product security advisory.
  • Restrict local access to nodes running Megatron Bridge to trusted operators and service accounts only.
  • Audit checkpoint and configuration directories for artifacts introduced by untrusted users and quarantine any unexplained files.
  • Rotate any credentials or tokens that may have been accessible to the bridge process during the exposure window.

Patch Information

Apply the vendor-supplied update referenced in the NVIDIA product security advisory for CVE-2026-61776. Additional record metadata is available in the CVE.org record for CVE-2026-61776.

Workarounds

  • Load only serialized artifacts produced by trusted, authenticated pipelines and validate their integrity before use.
  • Run Megatron Bridge under a dedicated, least-privilege service account isolated from user home directories and shared scratch space.
  • Enforce strict filesystem permissions on checkpoint and configuration directories so only authorized producers can write.
  • Where possible, prefer safe serialization formats or restricted loaders that constrain the set of resolvable types during deserialization.
bash
# Configuration example: restrict checkpoint directory to the bridge service account
sudo chown -R megatron-svc:megatron-svc /var/lib/megatron-bridge/checkpoints
sudo chmod 0750 /var/lib/megatron-bridge/checkpoints
sudo find /var/lib/megatron-bridge/checkpoints -type f -exec chmod 0640 {} \;

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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