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NVIDIA Triton Inference Server CVE-2026-24207

| EUVDEUVD-2026-31047 CRITICAL
Authentication Bypass Using an Alternate Path or Channel (CWE-288)
2026-05-20 nvidia GHSA-gfjf-7c33-r54h
9.8
CVSS 3.1 · Vendor: nvidia
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Severity by source

Vendor (nvidia) PRIMARY
9.8 CRITICAL
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Primary rating from Vendor (nvidia) · only source for this CVE.

CVSS VectorVendor: nvidia

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

1
Analysis Generated
May 20, 2026 - 04:00 vuln.today

DescriptionCVE.org

NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause an authentication bypass. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, denial of service, or information disclosure.

AnalysisAI

Authentication bypass in NVIDIA Triton Inference Server allows unauthenticated remote attackers to reach protected functionality over the network, potentially chaining to code execution, privilege escalation, data tampering, denial of service, or information disclosure. The CVSS 9.8 vector (AV:N/AC:L/PR:N/UI:N) reflects a critical severity issue affecting an AI/ML inference platform commonly deployed in production model-serving environments. No public exploit identified at time of analysis, and the CVE is not currently listed in CISA KEV.

Technical ContextAI

NVIDIA Triton Inference Server is an open-source inference-serving platform that hosts machine-learning models (TensorFlow, PyTorch, ONNX, TensorRT, etc.) and exposes them via HTTP/REST and gRPC endpoints, typically deployed in GPU-backed production environments. The root cause maps to CWE-288 (Authentication Bypass Using an Alternate Path or Channel), meaning the server enforces authentication on the primary code path but exposes an alternate route, endpoint, or interface that does not apply the same checks. Because Triton's network-facing surface includes model management, inference, and metrics APIs, an alternate-channel bypass can directly expose sensitive control-plane functionality. The affected CPE is cpe:2.3:a:nvidia:triton_inference_server with version data marked as wildcard in NVD, indicating exact affected ranges must be obtained from NVIDIA's advisory.

RemediationAI

Consult the NVIDIA security advisory at https://nvidia.custhelp.com/app/answers/detail/a_id/5828 and upgrade Triton Inference Server to the fixed release listed there; exact fix version is not enumerated in the provided NVD data so the vendor bulletin is authoritative. As compensating controls until patching is complete, restrict network exposure of the Triton HTTP (default 8000) and gRPC (default 8001) endpoints to trusted clients via firewall rules, security groups, or service mesh policies - accepting the trade-off that legitimate remote inference clients must be allow-listed; place Triton behind an authenticating reverse proxy (e.g., NGINX, Envoy, or a cloud API gateway enforcing mTLS or OIDC) so the alternate-channel bypass cannot be reached directly, noting added latency and operational complexity; and disable or block the model-control endpoints (model load/unload APIs) if not required for runtime operations, recognizing this prevents dynamic model updates. Monitor inference and management endpoints for anomalous requests from unexpected sources.

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CVE-2026-24207 vulnerability details – vuln.today

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