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VulnerabilityPublished

CVE-2026-24159: NVIDIA NeMo Framework · Deserialization of Untrusted Data

Affects NVIDIA NeMo FrameworkSource CVE Database V5

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Not known to be exploited · CVSS 7.8 High : upgrade to 2.6.2 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 51% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.6.2
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 24 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 30 Oct 2026.

What to do

Upgrade nemo-framework to 2.6.2.

Affected software

ProductAffectedFixed in
NVIDIANeMo FrameworkAffected
  • =All versions prior to 2.6.2
Fixed in–
PyPInemo-frameworkpkg:pypi/nemo-frameworkOther threatsAffected
  • <2.6.2
Fixed in
  • 2.6.2

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2026-24159, organizations should immediately upgrade the NVIDIA NeMo Framework to version 2.6.2 or later, where the vulnerability has been addressed. Until patching is possible, restrict access to systems running NeMo to trusted users only, minimizing the risk of local exploitation. Implement strict access controls and monitoring on environments where NeMo is deployed, including containerized or cloud-based AI development platforms. Employ application whitelisting and endpoint detection to identify and block suspicious activities related to deserialization processes. Review and harden serialization and deserialization practices in custom extensions or integrations with NeMo, ensuring that only trusted data is processed. Conduct regular security audits and penetration testing focused on AI development environments. Additionally, segregate AI development environments from critical production systems to limit potential lateral movement in case of compromise. Maintain up-to-date backups of AI models and datasets to recover from potential tampering or data loss.

Description

NVIDIA NeMo Framework contains a vulnerability where an attacker may cause remote code execution. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure and data tampering.

References

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