Incomplete List of Disallowed Inputs in Kibana Leading to Server-Side Request Forgery

Incomplete List of Disallowed Inputs (CWE-184) in Kibana can allow an authenticated attacker with access to the Reporting feature to bypass outbound request restrictions configured by an administrator, causing the reporting service to send requests to network destinations that should be denied by the configured security policy.

Missing Authorization in Kibana Leading to Unauthorized Information Disclosure

Missing Authorization (CWE-862) in Kibana can lead to unauthorized information disclosure via Privilege Abuse (CAPEC-122). A user with limited feature privileges can access workflow execution outputs in their Kibana space without the authorization required to do so through the documented API. The accessible data may include sensitive information returned by workflow steps, such as results from connected data sources that the caller would not otherwise be authorized to access.

Incorrect Authorization in Kibana Leading to Machine Learning Audit Log Integrity Compromise

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

Authorization Bypass Through User-Controlled Key in Kibana Leading to Information Disclosure

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

Uncontrolled Resource Consumption in Kibana Leading to Denial of Service

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

Missing Authorization in Kibana Leading to Information Disclosure

Missing Authorization (CWE-862) in Kibana can lead to unauthorized cross-space information disclosure via user-supplied input that circumvents space-level access control.

Improper Input Validation in Kibana Leading to Denial of Service

Improper Input Validation (CWE-20) in Kibana can lead to a denial of service via Input Data Manipulation (CAPEC-153). An authenticated user can submit a specially crafted Fleet policy input that is not correctly validated, which can render Fleet agent, server, and policy management functionality unavailable.

Allocation of Resources Without Limits or Throttling in Kibana Leading to Denial of Service

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 can submit a specially crafted bulk deletion request that causes excessive resource consumption, which may render Kibana unavailable.

Insertion of Sensitive Information into Log File in Kibana Leading to Information Disclosure

Insertion of Sensitive Information into Log File (CWE-532) in Kibana can lead to information disclosure. When the optional application performance monitoring (APM) instrumentation is enabled, sensitive request header values could be recorded in application logs, where they may be accessible to operators with log access.

Improper Output Neutralization for Logs in Kibana Leading to Log Injection

Improper Output Neutralization for Logs (CWE-117) in Kibana can lead to log injection via Log Injection-Tampering-Forging (CAPEC-93). An attacker can supply specially crafted input that is written to log files without proper neutralization. When the log files are subsequently viewed in a terminal that interprets control sequences, the injected content may alter the displayed log data.

Kibana Insertion of Sensitive Information into Log File

An issue was discovered by Elastic whereby sensitive information may be recorded in Kibana logs in the event of an error or in the event where debug level logging is enabled in Kibana. Elastic has released Kibana 8.11.2 which resolves this issue. The messages recorded in the log may contain Account credentials for the kibana_system user, API Keys, and credentials of Kibana end-users, Elastic Security package policy objects which can contain private keys, bearer token, and sessions of 3rd-party integrations and finally Authorization headers, client secrets, local file paths, and stack traces. The issue may occur in any Kibana instance running an affected version that could potentially receive an unexpected error when communicating to Elasticsearch causing it to include sensitive data into Kibana error logs. It could also occur under specific circumstances when debug level logging is enabled in Kibana. Note: It was found that the fix for ESA-2023-25 in Kibana 8.11.1 for a similar issue was incomplete.

Kibana versions 8.0.0 through 8.7.0 contain an arbitrary code execution flaw. An attacker with write access to Kibana yaml or env configuration could add a specific payload that will attempt to execute JavaScript code. This could lead to the attacker executing arbitrary commands on the host system with permissions of the Kibana process.

Server-Side Request Forgery (SSRF) in Kibana Leading to Unauthorized Network Access

Server-Side Request Forgery (CWE-918) in Kibana allows authenticated users with connector management privileges to bypass the operator-configured connection allowlist. By configuring a Webhook connector with a crafted target, an attacker can cause Kibana to issue outbound requests to destinations that the egress restriction controls were intended to block.

Uncontrolled Resource Consumption in Kibana Leading to Denial of Service

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated low-privileged user can cause Kibana to consume exponentially increasing amounts of memory by submitting a specially crafted Timelion visualization expression containing deeply chained function calls. The resulting data structure grows without bound, exhausting available memory and causing the Kibana service to crash and become unavailable to all users.

Uncontrolled Resource Consumption in Kibana Leading to Denial of Service

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user can send a specially crafted compressed request payload that is processed prior to authorization checks, causing excessive memory and CPU resource consumption that can result in a Kibana instance becoming unresponsive or crashing.

Server-Side Request Forgery (SSRF) in Kibana Leading to Unauthorized Network Access

Server-Side Request Forgery (CWE-918) in Kibana can allow an authenticated user with connector management privileges to bypass the operator-configured connector allowlist, causing the Kibana server to issue outbound requests to destinations the egress controls were intended to block.

Uncontrolled Resource Consumption in Kibana Leading to Denial of Service

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with viewer-level access can submit a request containing an oversized input value to an analytics collections management endpoint. Kibana will consume excessive CPU and memory resources while processing the request. This results in Kibana becoming unavailable to all users until the service is manually recovered.

Improper Input Validation in Kibana Fleet Leading to Privilege Escalation

Improper Input Validation (CWE-20) in the Kibana Fleet agent policy management feature can lead to privilege escalation. An authenticated user with Fleet management privileges can manipulate agent policy configuration by injecting values into a configuration override mechanism that is not adequately validated. An attacker can cause Elastic Agents to be issued API keys with elevated Elasticsearch privileges, potentially granting unauthorized read and write access to sensitive Elasticsearch security indices beyond what is intended for the Fleet management role.

Path Traversal in Kibana Leading to Unauthorized Deletion of User Accounts

A path traversal vulnerability was identified in Kibana's dashboard management functionality. An authenticated user with limited permissions could create a dashboard with a specially crafted identifier. When an administrator subsequently attempts to delete this dashboard through the Kibana interface, the deletion request is redirected to an unintended internal endpoint, potentially resulting in the unauthorized deletion of user accounts or other resources. Exploitation requires an administrator to perform a delete action on the maliciously crafted dashboard object.

Operation on a Resource after Expiration or Termination in Kibana Leading to Unauthorized File Access

Operation on a Resource after Expiration or Termination (CWE-672) in Kibana can lead to unauthorized information disclosure. A logic error in how expiration timestamps were validated allowed a time-bounded access token to remain usable beyond its intended validity window, enabling an unauthenticated actor in possession of the token to retrieve the associated content after expiration.