Vulnerabilities
Vulnerable Software
Elastic:  >> Kibana  >> 8.9.1  Security Vulnerabilities
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user with low-level permissions could submit a specially crafted request that causes excessive resource consumption, which may render Kibana unavailable.
CVSS Score
6.5
EPSS Score
0.003
Published
2026-09-01
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to unauthorized data modification via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). Under certain conditions, an authenticated user could reference another user's AI Assistant conversation identifier to access or modify a conversation they do not own. Successful exploitation requires knowledge of a hard-to-guess identifier.
CVSS Score
4.2
EPSS Score
0.001
Published
2026-08-25
Missing Authorization (CWE-862) in Kibana can lead to cross-space information disclosure and unauthorized data modification via Privilege Abuse (CAPEC-122). Kibana Machine Learning carries out its Elasticsearch operations with elevated internal permissions and relies on a per-request space filter to keep the machine learning data of one space separated from another. Part of the Machine Learning functionality did not apply that filter, so operations issued from one space were carried out against the machine learning data of every space in the deployment.
CVSS Score
7.1
EPSS Score
0.002
Published
2026-08-13
Improper Control of Generation of Code ('Code Injection') (CWE-94) in Fleet Server can lead to the execution of attacker-supplied script content via Code Injection (CAPEC-242). Kibana accepted an identifier for an output configuration without restricting it to safe characters. That identifier is later placed into a server-side script that Fleet Server builds as part of routine agent policy processing, so script syntax embedded in the identifier became part of the script that was executed rather than being treated as data.
CVSS Score
6.5
EPSS Score
0.004
Published
2026-08-13
Relative Path Traversal (CWE-23) in Kibana can lead to the unauthorized deletion of Kibana resources via Relative Path Traversal (CAPEC-139). Kibana Fleet accepted a user-supplied identifier for a Fleet Server host configuration without rejecting relative traversal sequences. The identifier is stored as provided and is later incorporated into the request that Kibana issues when that configuration is removed.
CVSS Score
7.3
EPSS Score
0.003
Published
2026-08-13
Missing Authorization (CWE-862) in Kibana can lead to unauthorized execution of Osquery and Elastic Defend response actions on managed hosts via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A Kibana user who is able to author and evaluate Elastic Security detection rules can cause response actions to be carried out against enrolled agents without holding the Osquery live query privileges or the Elastic Defend response action privileges that normally govern those capabilities. Depending on the response action involved, this can result in disclosure of information from the affected hosts or in unauthorized changes to their state.
CVSS Score
8.1
EPSS Score
0.003
Published
2026-08-13
Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat.
CVSS Score
6.5
EPSS Score
0.003
Published
2026-08-13
The state that Kibana stores for an Observability Onboarding flow is not bound to the user who created the flow, and the routes that read and update that state do not verify ownership. An authenticated user who holds only generic read access to the space can therefore discover the onboarding flows of other users, read their onboarding state, and write arbitrary progress data into them. A tampered flow can also cause the owner's onboarding view to fail with a server error.
CVSS Score
7.6
EPSS Score
0.002
Published
2026-08-13
A lower privileged user who holds only the privilege to read agent policies can read the entire configuration of a configured Fleet proxy. This would normally require the Fleet privilege to read settings.The proxy configuration possibly contains proxy authentication credentials and private key material that they should not be authorized to view.
CVSS Score
7.7
EPSS Score
0.003
Published
2026-08-13
A Kibana Machine Learning capability that removes a saved object from the current space accepts machine learning trained models as a target, but it verifies only the privileges that apply to anomaly detection jobs and data frame analytics jobs. A user whose role grants create anomaly detection jobs and data frame analytics jobs without the trained model privilege can therefore remove a trained model from a space. The model itself is not deleted and remains available in its other spaces, and the change can be reversed by a suitably privileged user.
CVSS Score
4.3
EPSS Score
0.002
Published
2026-08-13


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