Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessDiscover exposed Triton endpoint
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DeliveryCraft request with traversal sequence in path parameter
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ExploitSubmit to HTTP or gRPC inference API
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ExecutionTriton processes unsanitized path
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PersistServer crash or hang
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ImpactSustained denial of service to model consumers
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A01:2025 - Broken Access Control
ASVS 5.0
V5 - File Handling Path canonicalization, traversal prevention
MITRE ATT&CK
2 techniques across 2 tactics: Discovery, Collection The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Required: network reachability to the Triton Inference Server's HTTP/REST or gRPC inference API (default ports 8000 and 8001) and the ability to submit requests whose path-bearing parameters (e.g., model name or file references) are processed by the vulnerable handler. No authentication, no user interaction, and no elevated privileges are needed (CVSS PR:N/UI:N), so any client that can reach the service can attempt exploitation. Limiting factors: Triton is most often deployed inside private clusters or behind authenticated gateways, so direct internet exposure is the dominant gating condition; the vendor description does not specify whether a particular backend, model repository layout, or non-default configuration narrows the vulnerable code path, so worst case is assumed to be any reachable default-configured instance. |
| Impact | The CVSS 3.1 vector AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H indicates a network-reachable, low-complexity, unauthenticated, no-user-interaction attack with high availability impact only - a clean DoS primitive. No EPSS score, KEV listing, or SSVC decision was provided in the input, so probability of exploitation in the wild and CISA-tracked active exploitation status cannot be confirmed; absence of those signals is not the same as low risk. There is no public exploit identified at time of analysis. Real-world priority depends heavily on exposure: Triton instances are typically deployed behind authenticated gateways or inside trusted clusters, so internet-exposed instances are the principal risk surface. The 7.5 score may overstate risk for properly segmented deployments and understate it for shops that expose Triton directly; verify exposure before prioritizing. |
| Exploit ScenarioDerived | An attacker who can reach the Triton HTTP or gRPC inference endpoint sends a crafted request whose model-name or file-path field contains traversal sequences pointing outside the model repository, causing Triton to attempt to access an unintended path and crash or hang the worker, taking the model-serving tier offline. Repeated requests sustain the outage, disrupting any downstream application that depends on real-time inference. No public exploit has been identified at time of analysis, but the AC:L/PR:N profile means a working PoC would be straightforward to develop once specifics surface. |
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Alert meAnalysisAIv1 – May 20, 2026
Denial of service in NVIDIA Triton Inference Server can be triggered remotely without authentication via a path traversal flaw (CWE-22), enabling unauthenticated network attackers to disrupt model-serving availability. The CVSS 7.5 score reflects high availability impact with no confidentiality or integrity loss, and no public exploit has been identified at time of analysis.
RemediationAI
Patch available per vendor advisory - consult NVIDIA's security bulletin at https://nvidia.custhelp.com/app/answers/detail/a_id/5828 for the exact fixed version and upgrade to it as the primary remediation; corroborating records are at https://nvd.nist.gov/vuln/detail/CVE-2026-24209 and https://www.cve.org/CVERecord?id=CVE-2026-24209. Until the patched build is deployed, restrict network reachability of Triton's HTTP/REST (default 8000) and gRPC (default 8001) endpoints to trusted clients via firewall or service-mesh policy (trade-off: breaks any direct external integrations), place Triton behind an authenticating reverse proxy or API gateway that strips traversal sequences such as '../' and URL-encoded variants from path/model-name parameters (trade-off: may require request-shape changes for legitimate clients), and run Triton as an unprivileged user inside a container with a read-only model repository mount to limit the blast radius of any file reference (trade-off: requires deployment changes and may affect dynamic model loading). Monitor Triton logs for repeated 4xx/5xx spikes and process restarts as early indicators of DoS probing.
Affected VersionsENISA
Affects your stack
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Technical ContextAI · show details
NVIDIA Triton Inference Server is an open-source inference-serving platform used to deploy AI/ML models (TensorFlow, PyTorch, ONNX, TensorRT, etc.) at scale via HTTP/REST and gRPC endpoints, commonly fronting GPU-backed model repositories in production ML pipelines. The root cause is CWE-22 (Improper Limitation of a Pathname to a Restricted Directory - 'Path Traversal'), meaning user-controlled input referencing filesystem paths is not sufficiently sanitized, allowing references outside an intended directory. In Triton, such input typically flows through model-name, model-repository, or file-handling parameters in the inference API, where traversal sequences can be abused to reference unintended files and crash or hang the server. The single CPE entry (cpe:2.3:a:nvidia:triton_inference_server:*:*:*) confirms the product scope but does not narrow specific versions.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Primary rating from Vendor (nvidia) · only source for this CVE.
CVSS VectorVendor: nvidia
DescriptionCVE.org
NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause a path traversal issue. A successful exploit of this vulnerability might lead to denial of service.
Executive ViewAI
NVIDIA Triton Inference Server contains a denial-of-service vulnerability (CVE-2026-24209) exploitable without authentication, creating availability risk for AI/ML model-serving infrastructure. Organizations relying on Triton for production inference workloads face potential service disruption from remote attackers, with no patch currently available.
No vendor-released patch identified at time of analysis. Interim mitigations: enforce network segmentation (restrict Triton to trusted internal networks), implement WAF or reverse-proxy request filtering to block path traversal payloads, apply rate-limiting and resource quotas to reduce DoS impact, enable comprehensive logging and alerting on failed requests and availability anomalies, maintain redundant inference capacity to absorb partial service degradation.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Path traversal exploits occur when applications use user-controlled input to construct file system paths without proper validation.
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
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EUVD-2026-31051
GHSA-mf6v-qv54-r9qj
NVD
CVE.org
EPSS
Vulnrichment
Exploit-DB