FKIE_CVE-2025-23321
Vulnerability from fkie_nvd - Published: 2025-08-06 13:15 - Updated: 2026-06-17 08:53
Severity
Summary
NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@nvidia.com | https://nvd.nist.gov/vuln/detail/CVE-2025-23321 | US Government Resource | |
| psirt@nvidia.com | https://nvidia.custhelp.com/app/answers/detail/a_id/5687 | Vendor Advisory | |
| psirt@nvidia.com | https://www.cve.org/CVERecord?id=CVE-2025-23321 | Third Party Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| nvidia | triton_inference_server | * | |
| linux | linux_kernel | - | |
| microsoft | windows | - |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"platforms": [
"Windows",
"Linux"
],
"product": "Triton Inference Server",
"vendor": "NVIDIA",
"versions": [
{
"status": "affected",
"version": "All versions prior to 25.07"
}
]
}
],
"source": "psirt@nvidia.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:nvidia:triton_inference_server:*:*:*:*:*:*:*:*",
"matchCriteriaId": "2168003B-4C9F-4733-89F5-EA17B1228F95",
"versionEndExcluding": "25.07",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
},
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:linux:linux_kernel:-:*:*:*:*:*:*:*",
"matchCriteriaId": "703AF700-7A70-47E2-BC3A-7FD03B3CA9C1",
"vulnerable": false
},
{
"criteria": "cpe:2.3:o:microsoft:windows:-:*:*:*:*:*:*:*",
"matchCriteriaId": "A2572D17-1DE6-457B-99CC-64AFD54487EA",
"vulnerable": false
}
],
"negate": false,
"operator": "OR"
}
],
"operator": "AND"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero issue by issuing an invalid request. A successful exploit of this vulnerability might lead to denial of service."
},
{
"lang": "es",
"value": "NVIDIA Triton Inference Server para Windows y Linux contiene una vulnerabilidad que permite a un usuario causar una divisi\u00f3n por cero al emitir una solicitud no v\u00e1lida. Explotar esta vulnerabilidad podr\u00eda provocar una denegaci\u00f3n de servicio."
}
],
"id": "CVE-2025-23321",
"lastModified": "2026-06-17T08:53:29.770",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "psirt@nvidia.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-23321",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-08-06T14:37:25.301001Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-08-06T13:15:39.787",
"references": [
{
"source": "psirt@nvidia.com",
"tags": [
"US Government Resource"
],
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-23321"
},
{
"source": "psirt@nvidia.com",
"tags": [
"Vendor Advisory"
],
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5687"
},
{
"source": "psirt@nvidia.com",
"tags": [
"Third Party Advisory"
],
"url": "https://www.cve.org/CVERecord?id=CVE-2025-23321"
}
],
"sourceIdentifier": "psirt@nvidia.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-369"
}
],
"source": "psirt@nvidia.com",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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.
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