CVE-2026-53805: Deserialization of Untrusted Data in nv-tlabs GEN3C
NVIDIA Spatial Intelligence Lab's (SIL) GEN3C contains an unauthenticated remote code execution vulnerability in the inference API server where the /request-inference and /seed-model endpoints deserialize raw HTTP request bodies using Python's pickle.loads() without authentication or input validation. Attackers can supply a crafted payload containing a __reduce__ gadget to the inference API port to achieve remote code execution as the inference process.
AI Analysis
Technical Summary
CVE-2026-53805 describes a critical vulnerability in nv-tlabs GEN3C where the inference API server endpoints /request-inference and /seed-model deserialize untrusted data using Python's pickle.loads() without authentication or validation. This unsafe deserialization enables unauthenticated attackers to achieve remote code execution by supplying a malicious payload containing a __reduce__ gadget. The vulnerability affects the inference process directly and does not require user interaction or privileges. The CVSS 4.0 base score is 9.3, reflecting network attack vector, no required privileges or user interaction, and high impact on confidentiality, integrity, and availability. No patch or vendor advisory is currently available, and the product is not a cloud service, so remediation depends on vendor action or user mitigation.
Potential Impact
Successful exploitation allows unauthenticated remote attackers to execute arbitrary code on the inference API server process, potentially leading to full compromise of the affected system. This impacts confidentiality, integrity, and availability of the system running GEN3C. The vulnerability is critical due to its unauthenticated remote code execution nature and the lack of input validation on deserialization.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider restricting network access to the inference API endpoints and avoid exposing them to untrusted networks. Implementing network-level controls or application-layer filtering to block or validate incoming requests may reduce risk. Monitor vendor communications for updates on patches or official mitigations.
CVE-2026-53805: Deserialization of Untrusted Data in nv-tlabs GEN3C
Description
NVIDIA Spatial Intelligence Lab's (SIL) GEN3C contains an unauthenticated remote code execution vulnerability in the inference API server where the /request-inference and /seed-model endpoints deserialize raw HTTP request bodies using Python's pickle.loads() without authentication or input validation. Attackers can supply a crafted payload containing a __reduce__ gadget to the inference API port to achieve remote code execution as the inference process.
CVSS v4.0
Score 9.3critical
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-53805 describes a critical vulnerability in nv-tlabs GEN3C where the inference API server endpoints /request-inference and /seed-model deserialize untrusted data using Python's pickle.loads() without authentication or validation. This unsafe deserialization enables unauthenticated attackers to achieve remote code execution by supplying a malicious payload containing a __reduce__ gadget. The vulnerability affects the inference process directly and does not require user interaction or privileges. The CVSS 4.0 base score is 9.3, reflecting network attack vector, no required privileges or user interaction, and high impact on confidentiality, integrity, and availability. No patch or vendor advisory is currently available, and the product is not a cloud service, so remediation depends on vendor action or user mitigation.
Potential Impact
Successful exploitation allows unauthenticated remote attackers to execute arbitrary code on the inference API server process, potentially leading to full compromise of the affected system. This impacts confidentiality, integrity, and availability of the system running GEN3C. The vulnerability is critical due to its unauthenticated remote code execution nature and the lack of input validation on deserialization.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider restricting network access to the inference API endpoints and avoid exposing them to untrusted networks. Implementing network-level controls or application-layer filtering to block or validate incoming requests may reduce risk. Monitor vendor communications for updates on patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-06-10T20:14:32.829Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a32dadcf198dc38c1cefc7e
Added to database: 06/17/2026, 17:35:24 UTC
Last enriched: 07/15/2026, 10:11:41 UTC
Last updated: 08/01/2026, 12:28:38 UTC
Views: 182
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