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CVE-2025-33233VulnerabilityPublished

CVE-2025-33233: NVIDIA Merlin Transformers4Rec · Code Injection

Affects NVIDIA Merlin Transformers4RecSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 06:26 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 14% 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 20 Jan 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
NVIDIAMerlin Transformers4RecAffected
  • =All code branches that do not include commit 27ddd49
Fixed in–

AI-suggested

To mitigate CVE-2025-33233, European organizations should immediately identify deployments of NVIDIA Merlin Transformers4Rec and verify if they are running versions prior to the commit 27ddd49. Applying the patch or updating to a version containing this commit is the most effective mitigation. In environments where immediate patching is not feasible, organizations should restrict local access to systems running Transformers4Rec, enforce strict access controls, and monitor for unusual local activity. Implementing application whitelisting and integrity monitoring can help detect unauthorized code execution attempts. Additionally, auditing and sanitizing any inputs or data that could influence code generation within the application is critical to prevent injection. Organizations should also review and harden privilege management to limit the impact of potential escalation. Finally, maintaining up-to-date threat intelligence and preparing incident response plans specific to AI/ML infrastructure vulnerabilities will enhance resilience.

Description

CVE-2025-33233 is a high-severity code injection vulnerability in NVIDIA Merlin Transformers4Rec affecting all versions prior to commit 27ddd49. It allows an attacker with local privileges and low complexity to execute arbitrary code without user interaction, potentially leading to privilege escalation, information disclosure, and data tampering. The vulnerability arises from improper control over code generation (CWE-94). Although no known exploits are currently in the wild, the impact on confidentiality, integrity, and availability is high. European organizations using Merlin Transformers4Rec in AI/ML recommendation systems should prioritize patching or mitigating this flaw. Countries with significant AI technology adoption and NVIDIA product usage, such as Germany, France, and the UK, are most at risk. Mitigation involves applying the fixed commit, restricting local access, and auditing code inputs. Given the CVSS 7.8 score, the threat is classified as high severity.

References

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