FKIE_CVE-2026-54446
Vulnerability from fkie_nvd - Published: 2026-09-17 18:16 - Updated: 2026-09-17 20:16
Severity
Summary
NetLicensing MCP Server is a natural-language interface that enables agentic applications to manage the software-licensing lifecycle in Labs64 NetLicensing. Prior to 0.1.6, network-reachable HTTP transport requests to /mcp that omit x-netlicensing-api-key, Authorization: Bearer, and the apikey query parameter pass through ApiKeyMiddleware in src/netlicensing_mcp/server.py without authentication. The downstream api_key_ctx in src/netlicensing_mcp/client.py then falls back to the operator's NETLICENSING_API_KEY and authenticates upstream NetLicensing REST API calls under the operator account. An unauthenticated attacker can invoke MCP tools to enumerate products, licenses, licensees, and transactions, create or modify licensing objects, perform validations, and execute destructive delete operations. The issue affects HTTP deployments configured with a server-side key and does not require user interaction. This issue is fixed in version 0.1.6.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "NetLicensing-MCP",
"vendor": "Labs64",
"versions": [
{
"status": "affected",
"version": "\u003c 0.1.6"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "NetLicensing MCP Server is a natural-language interface that enables agentic applications to manage the software-licensing lifecycle in Labs64 NetLicensing. Prior to 0.1.6, network-reachable HTTP transport requests to /mcp that omit x-netlicensing-api-key, Authorization: Bearer, and the apikey query parameter pass through ApiKeyMiddleware in src/netlicensing_mcp/server.py without authentication. The downstream api_key_ctx in src/netlicensing_mcp/client.py then falls back to the operator\u0027s NETLICENSING_API_KEY and authenticates upstream NetLicensing REST API calls under the operator account. An unauthenticated attacker can invoke MCP tools to enumerate products, licenses, licensees, and transactions, create or modify licensing objects, perform validations, and execute destructive delete operations. The issue affects HTTP deployments configured with a server-side key and does not require user interaction. This issue is fixed in version 0.1.6."
}
],
"id": "CVE-2026-54446",
"lastModified": "2026-09-17T20:16:50.843",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 5.9,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54446",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-17T19:14:20.238640Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-17T18:16:46.040",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/Labs64/NetLicensing-MCP/commit/fbbb1d5ff88eb5400ec933a84e75601ebee48927"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Labs64/NetLicensing-MCP/releases/tag/0.1.6"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Labs64/NetLicensing-MCP/security/advisories/GHSA-x9vc-9ffq-p3gj"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/Labs64/NetLicensing-MCP/security/advisories/GHSA-x9vc-9ffq-p3gj"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-306"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
Loading…
Loading…
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.
Loading…
Loading…
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.
Loading…
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.
Loading…