Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-24165

CVE-2026-24165: NVIDIA BioNeMo RCE Vulnerability

CVE-2026-24165 is a deserialization flaw in NVIDIA BioNeMo that enables remote code execution, denial of service, and data tampering. This article covers the technical details, affected versions, impact, and mitigation.

Published:

CVE-2026-24165 Overview

NVIDIA BioNeMo contains an insecure deserialization vulnerability where a user could cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. This vulnerability is classified as CWE-502 (Deserialization of Untrusted Data), representing a significant security risk for organizations using BioNeMo in their AI/ML workflows.

Critical Impact

Successful exploitation could allow attackers to execute arbitrary code, cause denial of service, disclose sensitive information, or tamper with data in NVIDIA BioNeMo environments.

Affected Products

  • NVIDIA BioNeMo

Discovery Timeline

  • 2026-03-31 - CVE-2026-24165 published to NVD
  • 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-24165

Vulnerability Analysis

This vulnerability stems from improper handling of serialized data within NVIDIA BioNeMo. Deserialization vulnerabilities occur when an application processes untrusted serialized objects without proper validation, allowing attackers to inject malicious payloads that execute during the deserialization process.

The local attack vector requires user interaction, meaning an attacker would need to convince a user to process a malicious file or data stream. Once triggered, the vulnerability provides attackers with the potential for complete compromise of confidentiality, integrity, and availability of the affected system.

Root Cause

The root cause of CVE-2026-24165 is the deserialization of untrusted data (CWE-502). This occurs when NVIDIA BioNeMo deserializes data from an untrusted source without adequate validation or sanitization. In AI/ML frameworks like BioNeMo, serialized model files, configuration data, or checkpoint files may be processed without verifying their integrity or origin, creating an avenue for exploitation.

Attack Vector

The attack vector is local with required user interaction. An attacker would need to craft a malicious serialized payload and deliver it to a victim user. Common delivery methods include:

  • Maliciously crafted model checkpoint files
  • Poisoned configuration files shared through collaboration channels
  • Manipulated data files distributed through package repositories or shared storage

When the victim processes the malicious serialized data, the attacker's payload executes in the context of the BioNeMo application, potentially leading to code execution, data exfiltration, or system disruption.

The vulnerability manifests during the deserialization process where object instantiation occurs without proper type checking or content validation. For detailed technical information, refer to the NVIDIA Security Advisory.

Detection Methods for CVE-2026-24165

Indicators of Compromise

  • Unexpected process spawning or command execution originating from BioNeMo processes
  • Anomalous file system access patterns, particularly to sensitive directories or system files
  • Unusual network connections initiated by BioNeMo application components
  • Presence of unfamiliar or suspicious model checkpoint files with atypical structures

Detection Strategies

  • Monitor BioNeMo processes for unusual child process creation or shell command execution
  • Implement file integrity monitoring on directories containing model files and configurations
  • Deploy endpoint detection to identify deserialization attack patterns and suspicious object instantiation
  • Review application logs for deserialization errors or exceptions that may indicate exploitation attempts

Monitoring Recommendations

  • Enable verbose logging for BioNeMo operations involving file loading and model deserialization
  • Configure SIEM rules to correlate BioNeMo process activity with potential exploitation indicators
  • Establish baseline behavior for BioNeMo deployments to identify deviations indicative of compromise
  • Monitor for unusual data access patterns that may indicate information disclosure attempts

How to Mitigate CVE-2026-24165

Immediate Actions Required

  • Review and audit all model files, checkpoint data, and configuration files used with BioNeMo for suspicious content
  • Restrict BioNeMo installations to trusted networks and limit user access to authorized personnel only
  • Implement strict input validation for any external data processed by BioNeMo applications
  • Apply the principle of least privilege to BioNeMo deployments, limiting file system and network access

Patch Information

NVIDIA has released a security advisory addressing this vulnerability. Organizations should review the NVIDIA Customer Support FAQ for specific patch information and update instructions. Apply vendor-provided patches as soon as they become available to remediate this vulnerability.

Workarounds

  • Only process model files and serialized data from trusted, verified sources
  • Implement code signing and integrity verification for all model artifacts and checkpoint files
  • Consider sandboxing BioNeMo deployments to limit the impact of potential exploitation
  • Disable or restrict deserialization of complex object types where not strictly required
bash
# Example: Restrict file permissions on BioNeMo data directories
chmod 750 /path/to/bionemo/models
chown -R bionemo_user:bionemo_group /path/to/bionemo/data
# Ensure only authorized users can modify model files

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.