CVE-2025-33210: NVIDIA Isaac Lab · Deserialization of Untrusted Data
Affects NVIDIA Isaac LabSource CVE Database V5
Not known to be exploited · CVSS 9.0 Critical : upgrade to 2.3.0 as a priority.
Data as of 26 Oct 2026, 17:16 UTC
- 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 2.3.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 16 Dec 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
Upgrade NVIDIA Isaac Lab to 2.3.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| NVIDIA Isaac Lab | Affected
| Fixed in
|
AI-suggested
- Immediately upgrade NVIDIA Isaac Lab to version 2.3.0 or later once available, as this version addresses the deserialization vulnerability.
- Until patching is possible, restrict network access to Isaac Lab instances, limiting exposure to trusted networks and users only.
- Implement strict input validation and sanitization to prevent untrusted data from being deserialized.
- Employ application-layer firewalls or intrusion detection systems to monitor and block suspicious deserialization attempts.
- Educate users about the risks of interacting with untrusted data or files, reducing the likelihood of successful user interaction exploitation.
- Conduct regular security audits and code reviews focusing on deserialization processes within custom extensions or integrations with Isaac Lab.
- Use network segmentation to isolate critical robotic systems from general IT infrastructure, minimizing the blast radius of any compromise.
Description
CVE-2025-33210 is a critical deserialization vulnerability in NVIDIA Isaac Lab versions prior to 2.3.0. Exploiting this flaw allows an attacker with limited privileges and requiring user interaction to execute arbitrary code, impacting confidentiality, integrity, and availability. The vulnerability arises from unsafe deserialization of untrusted data (CWE-502). Although no known exploits are currently in the wild, the high CVSS score (9.0) indicates severe risk. European organizations using NVIDIA Isaac Lab, especially in robotics and AI research sectors, face significant threats. Mitigation requires upgrading to version 2.3.