Vulnerability-Lookup

GHSA-478C-RJ3V-9229

Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-17 18:35

Details

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.

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-53805"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-17T18:18:05Z",
    "severity": "CRITICAL"
  },
  "details": "NVIDIA Spatial Intelligence Lab\u0027s (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\u0027s 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.",
  "id": "GHSA-478c-rj3v-9229",
  "modified": "2026-06-17T18:35:58Z",
  "published": "2026-06-17T18:35:58Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53805"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nv-tlabs/GEN3C/pull/62"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nv-tlabs/GEN3C/pull/63"
    },
    {
      "type": "WEB",
      "url": "https://github.com/nv-tlabs/GEN3C/commit/db2ffe12ced12ddafcec5e0422ee46ce8520746b"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/nvidia-sil-gen3c-unauthenticated-rce-via-pickle-deserialization-in-inference-api"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-53805 (GCVE-0-2026-53805)

Vulnerability from cvelistv5 – Published: 2026-06-17 16:44 – Updated: 2026-07-14 21:33 X_Open Source

Title

NVIDIA SIL GEN3C Unauthenticated RCE via Pickle Deserialization in Inference API

Summary

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.

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

9.8 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-17 18:12 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

VulnCheck mitre root

References

4 references

URL	Tags
https://github.com/nv-tlabs/GEN3C/pull/62	issue-tracking
https://github.com/nv-tlabs/GEN3C/pull/63	issue-tracking
https://github.com/nv-tlabs/GEN3C/commit/db2ffe12…	patch
https://www.vulncheck.com/advisories/nvidia-sil-g…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
nv-tlabs	GEN3C	Affected: 0 , < db2ffe12ced12ddafcec5e0422ee46ce8520746b (git)

Date Public

2026-06-11 00:00

Credits

Valentin Lobstein (Chocapikk) VulnCheck

Show details on NVD website

JSON

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.