ZeroHour

CVE-2026-16497

moderate

Excessive Iteration DoS in NVIDIA Triton Inference Server for Linux

CVSS 3.1
7.5 high
EPSS
<1%p36
Published
()
Modified
AI analysis

NVIDIA Triton Inference Server for Linux contains an excessive iteration flaw (CWE-834), in which a code loop can iterate far more times than intended when processing attacker-controlled input. Because the vulnerability is reachable over the network with no privileges or user interaction required (per the CVSS vector), a remote, unauthenticated attacker can trigger it by sending crafted requests to an exposed Triton inference endpoint. A successful exploit causes high impact to availability only, allowing the attacker to deny service to the inference server; confidentiality and integrity are not affected. Anyone running NVIDIA Triton Inference Server on Linux is potentially affected, most notably operators exposing Triton's HTTP/gRPC endpoints to untrusted networks. No public proof-of-concept, KEV listing, or confirmed in-the-wild exploitation is known, and EPSS suggests a low (0.4%) 30-day exploitation probability.

What to do: Upgrade Triton Inference Server to the patched release identified in NVIDIA's security bulletin for CVE-2026-16497, as no fixed version is specified in the available data. Until patching, restrict network access to Triton's HTTP/gRPC inference endpoints to trusted clients via firewall rules or a reverse proxy, since the flaw is exploitable by unauthenticated network requests. Note that this is a denial-of-service issue, so prioritize patching for inference services with strict availability requirements.

Affected
NVIDIA Triton Inference Server (Linux)
Estimated exposure
moderateon the order of thousands to tens of thousands of deployments (widely used inference server, but typically deployed behind internal load balancers rather than… — Triton Inference Server is a widely adopted open-source inference platform commonly deployed in Kubernetes and cloud ML stacks, but it is usually fronted by internal gateways, so the installed base is large while directly exposed instances…

Order-of-magnitude estimate by the model from install counts, market share and public scan data it knows; verify before quoting.

Description

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker could cause excessive iteration. A successful exploit of this vulnerability might lead to denial of service.

Weakness
CWE-834
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

In the news

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