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VulnerabilityPublished

CVE-2025-33183: NVIDIA Isaac-GR00T N1.5 · Code Injection

Affects NVIDIA Isaac-GR00T N1.5Source CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 41% 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 Nov 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 26 Oct 2026.

What to do

AI-suggested

  1. Immediately apply the patch or update that includes code commit 7f53666 to all affected NVIDIA Isaac-GR00T N1.5 installations.
  2. Restrict local access to systems running Isaac-GR00T to trusted users only, employing strict access controls and user account management.
  3. Implement robust monitoring and logging of local activities on affected systems to detect suspicious behavior indicative of code injection attempts.
  4. Use application whitelisting and integrity verification tools to detect unauthorized code execution or modifications.
  5. Conduct regular security audits and vulnerability assessments focusing on local privilege escalation vectors.
  6. Educate internal users and administrators about the risks of local code injection and the importance of maintaining strict access policies.
  7. Isolate critical AI and robotics systems from general-purpose networks to limit lateral movement opportunities.
  8. Employ endpoint detection and response (EDR) solutions capable of identifying anomalous process behavior related to code injection.
  9. Review and harden Python component configurations and dependencies within Isaac-GR00T to reduce attack surface.
  10. Prepare incident response plans specifically addressing potential exploitation scenarios of this vulnerability.

Description

NVIDIA Isaac-GR00T for all platforms contains a vulnerability in a Python component, 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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