CVE-2025-33183: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA NVIDIA Isaac-GR00T N1.5
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.
AI Analysis
Technical Summary
CVE-2025-33183 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code) found in NVIDIA Isaac-GR00T N1.5, a platform used for robotics and AI development. The flaw exists in a Python component responsible for code generation, where insufficient validation or sanitization allows an attacker to inject and execute arbitrary code. This vulnerability can be exploited by an attacker with local access and low privileges, without requiring user interaction, to escalate privileges and execute malicious code with higher system rights. The impact includes potential full system compromise, data tampering, and information disclosure. The CVSS v3.1 score is 7.8, indicating high severity, with attack vector local, low attack complexity, privileges required low, no user interaction, and high impact on confidentiality, integrity, and availability. No public exploits have been reported yet, but the vulnerability is critical for environments relying on Isaac-GR00T for automation and AI tasks. The issue affects all versions prior to the inclusion of code commit 7f53666, which presumably contains the fix. Due to the nature of the vulnerability, attackers could leverage it to gain unauthorized control over affected systems, potentially disrupting operations or stealing sensitive data.
Potential Impact
For European organizations, especially those involved in robotics, AI research, and industrial automation using NVIDIA Isaac-GR00T, this vulnerability poses a significant risk. Exploitation could lead to unauthorized code execution, allowing attackers to manipulate robotic processes, disrupt manufacturing lines, or exfiltrate sensitive intellectual property. The integrity and availability of critical systems could be compromised, leading to operational downtime and financial losses. Additionally, the potential for privilege escalation increases the risk of persistent threats within networks. Given the increasing adoption of AI and robotics in sectors such as automotive manufacturing, aerospace, and research institutions across Europe, the impact could be widespread. Organizations handling sensitive data or critical infrastructure should consider this vulnerability a high priority to mitigate.
Mitigation Recommendations
1. Apply the patch containing code commit 7f53666 as soon as it becomes available from NVIDIA to remediate the vulnerability. 2. Restrict local access to systems running NVIDIA Isaac-GR00T to trusted personnel only, minimizing the risk of local exploitation. 3. Implement strict access controls and monitoring on systems to detect unusual code execution or privilege escalation attempts. 4. Employ application whitelisting and runtime application self-protection (RASP) techniques to prevent unauthorized code injection. 5. Conduct regular security audits and vulnerability assessments on AI and robotics platforms. 6. Isolate critical systems running Isaac-GR00T from general enterprise networks to limit lateral movement in case of compromise. 7. Educate staff on the risks of local access vulnerabilities and enforce strong endpoint security policies. 8. Monitor vendor advisories for updates or additional mitigations related to this CVE.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Belgium, Finland
CVE-2025-33183: CWE-94 Improper Control of Generation of Code ('Code Injection') in NVIDIA NVIDIA Isaac-GR00T N1.5
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.
AI-Powered Analysis
Technical Analysis
CVE-2025-33183 is a vulnerability classified under CWE-94 (Improper Control of Generation of Code) found in NVIDIA Isaac-GR00T N1.5, a platform used for robotics and AI development. The flaw exists in a Python component responsible for code generation, where insufficient validation or sanitization allows an attacker to inject and execute arbitrary code. This vulnerability can be exploited by an attacker with local access and low privileges, without requiring user interaction, to escalate privileges and execute malicious code with higher system rights. The impact includes potential full system compromise, data tampering, and information disclosure. The CVSS v3.1 score is 7.8, indicating high severity, with attack vector local, low attack complexity, privileges required low, no user interaction, and high impact on confidentiality, integrity, and availability. No public exploits have been reported yet, but the vulnerability is critical for environments relying on Isaac-GR00T for automation and AI tasks. The issue affects all versions prior to the inclusion of code commit 7f53666, which presumably contains the fix. Due to the nature of the vulnerability, attackers could leverage it to gain unauthorized control over affected systems, potentially disrupting operations or stealing sensitive data.
Potential Impact
For European organizations, especially those involved in robotics, AI research, and industrial automation using NVIDIA Isaac-GR00T, this vulnerability poses a significant risk. Exploitation could lead to unauthorized code execution, allowing attackers to manipulate robotic processes, disrupt manufacturing lines, or exfiltrate sensitive intellectual property. The integrity and availability of critical systems could be compromised, leading to operational downtime and financial losses. Additionally, the potential for privilege escalation increases the risk of persistent threats within networks. Given the increasing adoption of AI and robotics in sectors such as automotive manufacturing, aerospace, and research institutions across Europe, the impact could be widespread. Organizations handling sensitive data or critical infrastructure should consider this vulnerability a high priority to mitigate.
Mitigation Recommendations
1. Apply the patch containing code commit 7f53666 as soon as it becomes available from NVIDIA to remediate the vulnerability. 2. Restrict local access to systems running NVIDIA Isaac-GR00T to trusted personnel only, minimizing the risk of local exploitation. 3. Implement strict access controls and monitoring on systems to detect unusual code execution or privilege escalation attempts. 4. Employ application whitelisting and runtime application self-protection (RASP) techniques to prevent unauthorized code injection. 5. Conduct regular security audits and vulnerability assessments on AI and robotics platforms. 6. Isolate critical systems running Isaac-GR00T from general enterprise networks to limit lateral movement in case of compromise. 7. Educate staff on the risks of local access vulnerabilities and enforce strong endpoint security policies. 8. Monitor vendor advisories for updates or additional mitigations related to this CVE.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- nvidia
- Date Reserved
- 2025-04-15T18:51:02.257Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 691ca896209f2030fa0168e2
Added to database: 11/18/2025, 5:10:46 PM
Last enriched: 11/18/2025, 5:20:22 PM
Last updated: 11/22/2025, 7:45:16 AM
Views: 6
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