CVE-2022-42268
Published: 13 January 2023
Summary
CVE-2022-42268 is a high-severity Injection (CWE-74) vulnerability in Nvidia Nvidia Isaac Sim. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 45.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-45343
Vulnerability details
Omniverse Kit contains a vulnerability in the reference applications Create, Audio2Face, Isaac Sim, View, Code, and Machinima. These applications allow executable Python code to be embedded in Universal Scene Description (USD) files to customize all aspects of a scene. If…
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a user opens a USD file that contains embedded Python code in one of these applications, the embedded Python code automatically runs with the privileges of the user who opened the file. As a result, an unprivileged remote attacker could craft a USD file containing malicious Python code and persuade a local user to open the file, which may lead to information disclosure, data tampering, and denial of service.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.