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CVE-2025-23298VulnerabilityPublished

CVE-2025-23298: 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
0.7% chance of exploitation in 30 days – higher than 55% 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 13 Aug 2025

  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

AI-suggested

1. Immediate update or patch: Organizations should verify if their NVIDIA Merlin Transformers4Rec installations include the code commit b7eaea5 or later. If not, they must update to the patched version as soon as possible. 2. Restrict local access: Since the attack vector is local, enforce strict access controls and limit user privileges on systems running the vulnerable software. 3. Monitor and audit: Implement enhanced logging and monitoring to detect unusual code execution or privilege escalation attempts related to the affected components. 4. Dependency management: Review and harden the Python dependency management process to prevent introduction of vulnerable packages. Use tools to scan for known vulnerabilities in dependencies regularly. 5. Network segmentation: Isolate systems running Merlin Transformers4Rec to reduce risk from lateral movement if an attacker gains initial access. 6. Incident response readiness: Prepare to respond to potential exploitation attempts, including forensic analysis and containment strategies. 7. Educate developers and operators about secure coding and deployment practices to minimize risks from code injection vulnerabilities in AI frameworks.

Description

NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

References

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