CVE-2026-45723 (GCVE-0-2026-45723)
Vulnerability from cvelistv5 – Published: 2026-09-17 19:39 – Updated: 2026-09-18 20:13
VLAI
EPSS
VEX
Title
Omni: Operator can traverse image-factory API paths via unsanitized `talos_version` in CreateSchematic
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.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-18 20:10 UTC
CWE
- CWE-20 - Improper Input Validation
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
- CWE-209 - Generation of Error Message Containing Sensitive Information
- CWE-441 - Unintended Proxy or Intermediary ('Confused Deputy')
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/siderolabs/omni/security/advis… | x_refsource_CONFIRM |
| https://github.com/siderolabs/omni/pull/2817 | x_refsource_MISC |
| https://github.com/siderolabs/omni/commit/13c3f28… | x_refsource_MISC |
| https://github.com/siderolabs/omni/commit/3e69e80… | x_refsource_MISC |
| https://github.com/siderolabs/omni/commit/9426c2c… | x_refsource_MISC |
| https://github.com/siderolabs/omni/releases/tag/v1.6.6 | x_refsource_MISC |
| https://github.com/siderolabs/omni/releases/tag/v1.7.3 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| siderolabs | omni |
Affected:
< 1.6.6
Affected: >= 1.7.0, < 1.7.3 |
guessed |
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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
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