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Vulnerability Database/CVE-2026-24249

CVE-2026-24249: Nvidia Nemo Megatron Bridge RCE Flaw

CVE-2026-24249 is a remote code execution vulnerability in Nvidia Nemo Megatron Bridge caused by unsafe deserialization. Attackers can exploit this to execute code and escalate privileges. Learn the technical details.

Published:

CVE-2026-24249 Overview

CVE-2026-24249 affects NVIDIA Megatron Bridge for Linux. The vulnerability allows an attacker to trigger deserialization of untrusted data within the affected component. Successful exploitation can lead to code execution, privilege escalation, data tampering, and information disclosure.

The issue is classified under [CWE-94] (Improper Control of Generation of Code). It carries a CVSS 3.1 base score of 7.8 and requires local access with low privileges. No user interaction is required. NVIDIA published the advisory through its product-security repository.

Critical Impact

An authenticated local attacker can execute arbitrary code, escalate privileges, and access or modify sensitive data processed by the Megatron Bridge component.

Affected Products

  • NVIDIA NeMo Megatron Bridge for Linux (all versions prior to the fixed release)
  • Linux kernel environments running the affected package
  • Systems that load serialized data via the Megatron Bridge interface

Discovery Timeline

  • 2026-07-01 - CVE-2026-24249 published to NVD
  • 2026-07-02 - Last updated in NVD database

Technical Details for CVE-2026-24249

Vulnerability Analysis

The vulnerability resides in how NVIDIA Megatron Bridge processes serialized objects. The component deserializes data from sources that are not sufficiently validated. When the deserialization routine reconstructs objects, it can invoke constructors or magic methods that trigger arbitrary code paths.

Because the Megatron Bridge runs in the context of a local user session, code executed through the deserialization primitive inherits that user's privileges. In machine learning workflows, that context often includes access to GPU resources, model checkpoints, and training datasets. The scope covers confidentiality, integrity, and availability equally.

The attack requires local access, meaning the adversary must already have a foothold or valid low-privilege credentials on the host. This aligns with insider risk, compromised developer workstations, and multi-tenant training clusters.

Root Cause

The root cause is insecure deserialization [CWE-94]. The affected code path accepts serialized input without integrity verification or a strict allow-list of permitted classes. Attacker-controlled serialized payloads therefore drive object reconstruction inside the trusted process.

Attack Vector

The attack vector is Local (AV:L). An attacker with a shell or an ability to write files consumable by the Megatron Bridge crafts a malicious serialized payload. When the Bridge loads the payload, the deserialization primitive executes attacker code with the privileges of the running process. In shared research environments, this can be used to pivot between users or tenants.

No verified public exploit or proof-of-concept is available at the time of publication. See the NVIDIA product-security advisory for vendor-supplied technical details.

Detection Methods for CVE-2026-24249

Indicators of Compromise

  • Unexpected child processes spawned by Megatron Bridge Python interpreters or worker processes
  • Serialized files (.pkl, .pt, .bin) written to Bridge input directories from non-standard user accounts
  • Outbound network connections initiated by ML training processes to non-approved destinations
  • Modifications to model checkpoints or configuration files outside of scheduled training windows

Detection Strategies

  • Monitor process lineage for shell interpreters (/bin/sh, /bin/bash, python -c) spawned by Megatron Bridge components
  • Alert on filesystem writes to Bridge input paths by users other than the service account
  • Instrument Python runtimes to log invocations of pickle.load, torch.load, and similar deserialization APIs
  • Correlate GPU workload telemetry with authentication events to spot unauthorized job submissions

Monitoring Recommendations

  • Enable Linux audit rules on directories used by Megatron Bridge for read and execute events
  • Forward host telemetry to a centralized analytics platform with retention for post-incident review
  • Baseline expected command lines for training jobs and alert on deviations
  • Track privilege transitions on hosts running the Bridge to identify escalation attempts

How to Mitigate CVE-2026-24249

Immediate Actions Required

  • Apply the fixed release of NVIDIA NeMo Megatron Bridge referenced in the NVIDIA product-security advisory
  • Restrict local access to hosts running Megatron Bridge to trusted operators only
  • Audit existing serialized artifacts in Bridge working directories and quarantine unknown files
  • Rotate credentials and tokens accessible from the Bridge process context

Patch Information

NVIDIA has published the security bulletin for this issue in the NVIDIA/product-security GitHub repository under bulletin 2026/5841. Administrators should upgrade to the patched version documented in that advisory. Confirm the installed package version after upgrade and validate that Bridge configuration files were not altered during exploitation attempts.

Workarounds

  • Run Megatron Bridge under a dedicated low-privilege service account with no interactive login
  • Restrict filesystem permissions on Bridge input directories to a single writer identity
  • Isolate training hosts on segmented networks with egress filtering to approved model registries
  • Disable ingestion of serialized artifacts from untrusted sources until the patched version is deployed
bash
# Configuration example: restrict Bridge input directory to service account
sudo chown -R megatron-svc:megatron-svc /opt/megatron-bridge/input
sudo chmod 700 /opt/megatron-bridge/input
sudo auditctl -w /opt/megatron-bridge/input -p wa -k megatron_bridge_writes

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

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