An issue has been identified where a specially crafted request sent to an Observability API could cause the kibana server to crash.
A successful attack requires a malicious user to have read permissions for Observability assigned to them.
An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted payload to a number of inputs in Kibana UI. This can be carried out by users with read access to any feature in Kibana.
An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/metrics/snapshot. This can be carried out by users with read access to the Observability Metrics or Logs features in Kibana.
An allocation of resources without limits or throttling in Kibana can lead to a crash caused by a specially crafted request to /api/log_entries/summary. This can be carried out by users with read access to the Observability-Logs feature in Kibana.
A flaw allowing arbitrary code execution was discovered in Kibana. An attacker with access to ML and Alerting connector features, as well as write access to internal ML indices can trigger a prototype pollution vulnerability, ultimately leading to arbitrary code execution.
An issue was discovered in Kibana where a user with Viewer role could cause a Kibana instance to crash by sending a large number of maliciously crafted requests to a specific endpoint.
A high-privileged user, allowed to create custom osquery packs 17 could affect the availability of Kibana by uploading a maliciously crafted osquery pack.
An open redirect issue was discovered in Kibana that could lead to a user being redirected to an arbitrary website if they use a maliciously crafted Kibana URL.
A flaw was discovered in Kibana, allowing view-only users of alerting to use the run_soon API making the alerting rule run continuously, potentially affecting the system availability if the alerting rule is running complex queries.
An issue was discovered by Elastic, whereby the Detection Engine Search API does not respect Document-level security (DLS) or Field-level security (FLS) when querying the .alerts-security.alerts-{space_id} indices. Users who are authorized to call this API may obtain unauthorized access to documents if their roles are configured with DLS or FLS against the aforementioned index.