CVE-2025-33183: NVIDIA Isaac-GR00T N1.5 · Code Injection
Affects NVIDIA Isaac-GR00T N1.5Source CVE Database V5
Not known to be exploited · CVSS 7.8 High.
Data as of 26 Oct 2026, 14:05 UTC
- 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:HExploitation evidence
Disclosed: evidence found.
CVE published 18 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
- Immediately apply the patch or update that includes code commit 7f53666 to all affected NVIDIA Isaac-GR00T N1.5 installations.
- Restrict local access to systems running Isaac-GR00T to trusted users only, employing strict access controls and user account management.
- Implement robust monitoring and logging of local activities on affected systems to detect suspicious behavior indicative of code injection attempts.
- Use application whitelisting and integrity verification tools to detect unauthorized code execution or modifications.
- Conduct regular security audits and vulnerability assessments focusing on local privilege escalation vectors.
- Educate internal users and administrators about the risks of local code injection and the importance of maintaining strict access policies.
- Isolate critical AI and robotics systems from general-purpose networks to limit lateral movement opportunities.
- Employ endpoint detection and response (EDR) solutions capable of identifying anomalous process behavior related to code injection.
- Review and harden Python component configurations and dependencies within Isaac-GR00T to reduce attack surface.
- 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.