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VulnerabilityPublished

CVE-2025-33240: NVIDIA Megatron-Bridge · Code Injection

Affects NVIDIA Megatron-BridgeSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 13% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 18 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
NVIDIAMegatron-BridgeAffected
  • =All versions prior to 0.2.2
Fixed in–

AI-suggested

  1. Upgrade NVIDIA Megatron-Bridge to version 0.2.2 or later as soon as the patch is available to eliminate the vulnerability.
  2. Restrict access to systems running Megatron-Bridge to trusted personnel only, implementing strict role-based access controls to minimize the risk of local exploitation.
  3. Implement rigorous input validation and sanitization in any custom scripts or tutorials that interact with Megatron-Bridge components to prevent injection of malicious code.
  4. Monitor system logs and user activities for unusual behavior indicative of privilege escalation or code execution attempts.
  5. Employ endpoint detection and response (EDR) solutions to detect and block suspicious local activities.
  6. Conduct regular security training for staff with access to vulnerable systems to raise awareness about the risks of local exploitation.
  7. Isolate AI training environments from general-purpose networks to limit lateral movement opportunities.
  8. Review and harden system configurations and permissions to reduce the attack surface related to local privilege escalation.

Description

NVIDIA Megatron Bridge contains a vulnerability in a data shuffling tutorial, where malicious input could cause a code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

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