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Vulnerability Database/CVE-2026-24248

CVE-2026-24248: Nvidia Nemo Megatron Bridge RCE Flaw

CVE-2026-24248 is a remote code execution vulnerability in Nvidia Nemo Megatron Bridge caused by improper code generation control. Attackers can execute code and escalate privileges. This article covers technical details.

Published:

CVE-2026-24248 Overview

CVE-2026-24248 affects NVIDIA Megatron Bridge for Linux. The vulnerability stems from improper control of code generation [CWE-94]. An attacker with local access can trigger the flaw when a user interacts with malicious input processed by the affected component.

Successful exploitation can lead to arbitrary code execution, privilege escalation, data tampering, and information disclosure. NVIDIA published the advisory in its product security repository, and the record was added to NVD on July 1, 2026.

Critical Impact

Local attackers can execute arbitrary code, escalate privileges, tamper with data, and access sensitive information on systems running NVIDIA Megatron Bridge for Linux.

Affected Products

  • NVIDIA NeMo Megatron Bridge (all versions prior to the fixed release)
  • Linux kernel-based host systems running the affected package
  • AI/ML workloads and pipelines built on Megatron Bridge components

Discovery Timeline

  • 2026-07-01 - CVE-2026-24248 published to NVD
  • 2026-07-02 - Last updated in NVD database

Technical Details for CVE-2026-24248

Vulnerability Analysis

CVE-2026-24248 is an improper control of code generation issue classified under [CWE-94]. The affected component processes input that influences generated or executed code paths without sufficient validation or sandboxing.

When a user loads or executes attacker-controlled content through the Megatron Bridge workflow, the code generation logic incorporates that input into an executable context. This lets the attacker introduce logic that the runtime executes with the privileges of the invoking user.

The attack requires local access and user interaction. However, in typical AI/ML environments, model files, configuration artifacts, and training scripts are shared across teams and repositories, expanding the practical attack surface.

Root Cause

The root cause is insufficient validation of inputs that flow into code construction paths within NVIDIA NeMo Megatron Bridge. The component treats untrusted content as trusted code, enabling injection into the execution pipeline. NVIDIA's advisory in the NVIDIA product security repository documents the affected code path and fix.

Attack Vector

Exploitation requires local access to the target system and user interaction. An attacker stages a malicious artifact — a crafted configuration, model bundle, or script consumed by Megatron Bridge. When a legitimate user loads the artifact, the bridge processes it and executes attacker-controlled code in the user's context.

The scope remains unchanged, but confidentiality, integrity, and availability are each fully impacted. On multi-user AI training hosts, this can pivot into privilege escalation and lateral movement across shared workloads.

No public proof-of-concept, exploit code, or CISA KEV listing exists for CVE-2026-24248 at the time of publication. Refer to the NVD entry for CVE-2026-24248 for updates.

Detection Methods for CVE-2026-24248

Indicators of Compromise

  • Unexpected child processes spawned by Megatron Bridge Python interpreters or worker processes
  • Anomalous file writes under model, checkpoint, or configuration directories consumed by the bridge
  • Outbound network connections from AI/ML training hosts to unfamiliar destinations after loading third-party artifacts
  • Modifications to PYTHONPATH, LD_PRELOAD, or user shell profiles on hosts running Megatron Bridge

Detection Strategies

  • Monitor process lineage for Megatron Bridge processes invoking shells, compilers, or scripting interpreters outside expected training workflows
  • Alert on ingestion of model bundles or configuration files from untrusted or unsigned sources
  • Correlate user interaction events (artifact loading, notebook execution) with subsequent code execution and file system changes

Monitoring Recommendations

  • Enable audit logging for artifact loading events within Megatron Bridge and adjacent NeMo tooling
  • Track integrity of installed NVIDIA NeMo Megatron Bridge packages and their dependencies
  • Log and review all commands executed under service accounts and user accounts running AI/ML workloads

How to Mitigate CVE-2026-24248

Immediate Actions Required

  • Upgrade NVIDIA NeMo Megatron Bridge to the fixed version listed in the NVIDIA security advisory
  • Inventory all hosts running Megatron Bridge and prioritize patching on shared or internet-adjacent training systems
  • Restrict access to model artifacts, configuration files, and scripts consumed by Megatron Bridge to trusted users only
  • Validate the provenance and integrity of any third-party model bundles before loading

Patch Information

NVIDIA has published a security bulletin at the NVIDIA product-security repository entry 5841. Apply the vendor-supplied update for NeMo Megatron Bridge. Additional record details are available at the CVE.org record for CVE-2026-24248.

Workarounds

  • Run Megatron Bridge workloads under least-privileged, non-root service accounts isolated from sensitive data
  • Execute untrusted or externally sourced artifacts inside containerized or sandboxed environments with restricted file system and network access
  • Enforce code signing or checksum validation on model bundles and configuration files before ingestion
  • Disable or restrict interactive workflows that load user-supplied artifacts on shared training hosts until patched
bash
# Verify installed NeMo Megatron Bridge version and upgrade
pip show nemo-megatron-bridge
pip install --upgrade nemo-megatron-bridge

# Run workloads under an isolated, non-privileged user
sudo useradd -r -s /usr/sbin/nologin megatron-svc
sudo -u megatron-svc python -m nemo.megatron_bridge <args>

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

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