CVE-2026-93538 (GCVE-0-2026-93538)
Vulnerability from cvelistv5 – Published: 2026-09-28 14:10 – Updated: 2026-09-28 16:22
VLAI
EPSS
VEX
Title
Cross-tenant BundleDeployment and Secret disclosure via spoofed cluster labels during agent-initiated registration in Fleet
Summary
A cross-tenant authorization issue was discovered in SUSE Rancher Fleet. During agent-initiated cluster registration, cluster labels supplied by the registering agent, including labels in the reserved management.cattle.io/ namespace such as the cluster display name label, were applied to the resulting upstream Cluster object. Because Fleet resolves GitRepo and Bundle targets from those cluster labels, a party able to register a cluster into a Fleet workspace namespace shared with other tenants could cause its own cluster to satisfy targeting rules that administrators intended for a different cluster.
This affects SUSE Rancher Fleet 0.16 before 0.16.1, 0.15 before 0.15.6, 0.14 before 0.14.10, 0.13 before 0.13.15, 0.12 before 0.12.19 and older versions.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-28 15:46 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/rancher/fleet/security/advisor… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SUSE | Rancher |
Affected:
0.16.0 , < 0.16.1
(semver)
Affected: 0.15.0 , < 0.15.6 (semver) Affected: 0.14.0 , < 0.14.10 (semver) Affected: 0.13.0 , < 0.13.15 (semver) Affected: 0.12.0 , < 0.12.19 (semver) cpe:2.3:a:suse:rancher:*:*:*:*:*:*:*:* cpe:2.3:a:suse:rancher:*:*:*:*:*:*:*:* cpe:2.3:a:suse:rancher:*:*:*:*:*:*:*:* cpe:2.3:a:suse:rancher:*:*:*:*:*:*:*:* cpe:2.3:a:suse:rancher:*:*:*:*:*:*:*:* |
Date Public
2026-09-28 14:05
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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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