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NVIDIA TensorRT-LLM CVE-2026-24229

| EUVDEUVD-2026-44460 HIGH
Missing Authentication for Critical Function (CWE-306)
2026-07-14 nvidia GHSA-6297-xg77-3cg9
7.3
CVSS 3.1 · Vendor: nvidia
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Severity by source

Vendor (nvidia) PRIMARY
7.3 HIGH
AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
vuln.today AI
7.3 HIGH

Concur with NVIDIA: AV:L since the FastAPI orchestrator is a local/internal control interface, PR:N/UI:N for missing authentication, high confidentiality from state read, low integrity/availability from tampering and DoS.

3.1 AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
4.0 AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (nvidia).

CVSS VectorVendor: nvidia

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

Lifecycle Timeline

2
Analysis Generated
Jul 14, 2026 - 21:23 vuln.today
CVE Published
Jul 14, 2026 - 20:04 cve.org
HIGH 7.3

DescriptionCVE.org

NVIDIA TensorRT-LLM for Linux contains a vulnerability in the disaggregated orchestrator component, where an attacker could read, write, or delete internal cluster state by sending requests to the FastAPI server. A successful exploit of this vulnerability might lead to information disclosure, data tampering, and denial of service.

AnalysisAI

Missing authentication in NVIDIA TensorRT-LLM for Linux lets an attacker reach the disaggregated orchestrator's FastAPI server directly and read, write, or delete internal cluster state, resulting in information disclosure, data tampering, and denial of service. The flaw (CWE-306) affects the orchestration layer that coordinates disaggregated prefill/decode inference workers. No public exploit identified at time of analysis, and the CVSS 3.1 base score is 7.3 with a local attack vector despite the request-based nature of the issue.

Technical ContextAI

TensorRT-LLM is NVIDIA's library for optimizing and serving large language model inference on GPUs. Its disaggregated serving mode splits the inference pipeline (e.g., prefill and decode phases) across separate worker processes coordinated by an orchestrator that exposes a FastAPI (Python ASGI) HTTP control interface. The root cause is CWE-306 (Missing Authentication for a Critical Function): the orchestrator's FastAPI endpoints that manage internal cluster state accept requests without verifying caller identity, so any party able to reach the server can invoke state-changing operations. The affected component is identified by CPE cpe:2.3:a:nvidia:tensorrt-llm:*:*:*:*:*:*:*:* covering the TensorRT-LLM application across versions.

RemediationAI

No vendor-released patch version was identified in the available data, so upgrade to the fixed NVIDIA TensorRT-LLM release once NVIDIA publishes it via its product security bulletin (start from the NVD record at https://nvd.nist.gov/vuln/detail/CVE-2026-24229 and NVIDIA's advisory portal). As compensating controls in the interim: bind the disaggregated orchestrator's FastAPI server to localhost or a private management interface only rather than 0.0.0.0, and place it behind an authenticating reverse proxy or mutual-TLS gateway so unauthenticated state operations cannot be invoked directly; restrict network access to the orchestrator port using host firewall rules or Kubernetes NetworkPolicies so only trusted inference workers can reach it; and run TensorRT-LLM disaggregated serving on isolated, single-tenant nodes. The trade-off is that requiring authentication or proxying may add latency and configuration overhead to the orchestrator control path and could break worker-to-orchestrator communication if the trust boundaries are not configured to match your deployment.

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CVE-2026-24229 vulnerability details – vuln.today

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