FKIE_CVE-2026-45723
Vulnerability from fkie_nvd - Published: 2026-09-17 20:16 - Updated: 2026-09-18 21:16
Severity
Summary
Omni manages Kubernetes on bare metal, virtual machines, or in a cloud. Prior to 1.6.6 and 1.7.3, managementServer.CreateSchematic in internal/backend/grpc/schematics.go passes the caller-controlled TalosVersion field to imageFactoryClient.OverlaysVersions without validating it as a version. An authenticated Operator can submit traversal segments in TalosVersion, and url.URL.JoinPath normalizes them into unintended paths on the configured image-factory host. Omni then issues HTTP GET requests to those paths and reflects error-body content, enabling same-host endpoint probing and possible disclosure of internal diagnostics while preventing redirection to another host or write requests. This issue is fixed in versions 1.6.6 and 1.7.3.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "omni",
"vendor": "siderolabs",
"versions": [
{
"status": "affected",
"version": "\u003c 1.6.6"
},
{
"status": "affected",
"version": "\u003e= 1.7.0, \u003c 1.7.3"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Omni manages Kubernetes on bare metal, virtual machines, or in a cloud. Prior to 1.6.6 and 1.7.3, managementServer.CreateSchematic in internal/backend/grpc/schematics.go passes the caller-controlled TalosVersion field to imageFactoryClient.OverlaysVersions without validating it as a version. An authenticated Operator can submit traversal segments in TalosVersion, and url.URL.JoinPath normalizes them into unintended paths on the configured image-factory host. Omni then issues HTTP GET requests to those paths and reflects error-body content, enabling same-host endpoint probing and possible disclosure of internal diagnostics while preventing redirection to another host or write requests. This issue is fixed in versions 1.6.6 and 1.7.3."
}
],
"id": "CVE-2026-45723",
"lastModified": "2026-09-18T21:16:59.470",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 2.7,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-45723",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-18T20:10:42.448358Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-17T20:16:49.347",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/commit/13c3f289789842e1fd954d98babb34b94eea1192"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/commit/3e69e80802624bf322f16aa499d5eafca16d0025"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/commit/9426c2cabccaa1d442bc8ebf28c16cae2d7c6ff7"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/pull/2817"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/releases/tag/v1.6.6"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/releases/tag/v1.7.3"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/siderolabs/omni/security/advisories/GHSA-c66c-vq6w-fvh5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
},
{
"lang": "en",
"value": "CWE-22"
},
{
"lang": "en",
"value": "CWE-209"
},
{
"lang": "en",
"value": "CWE-441"
},
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.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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