Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||||||||
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| Elastic | Kibana | unaffected |
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Configuration 1 [-]
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No data.
| Vendor | Product | Versions | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Elastic | Kibana |
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No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.419% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| CPEs | cpe:2.3:a:elastic:kibana:*:*:*:*:*:*:*:* cpe:2.3:a:elastic:kibana:9.5.0:*:*:*:*:*:*:* |
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Elastic
Elastic kibana |
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| Vendors & Products |
Elastic
Elastic kibana |
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| Metrics |
ssvc
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| Type | Values Removed | Values Added |
|---|---|---|
| Description | Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized cross-space access via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). The result is disclosure of inference output from a trained model in a different space that the user is not authorized to list, read, or use, which exposes the behavior of a model. The same pattern also reached the deployment stop and deployment update operations, allowing an active trained model deployment in another space to be stopped or to have its allocated resources altered. | |
| Title | Authorization Bypass Through User-Controlled Key in Kibana Leading to Cross-Space Access to Machine Learning Trained Models | |
| Weaknesses | CWE-639 | |
| References |
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| Metrics |
cvssV3_1
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