Improper Neutralization of Input During Web Page Generation (CWE-79) in Kibana can lead to stored HTML injection. A user with write access to an Elasticsearch index could persist crafted markup which, when subsequently rendered through an affected Kibana view by another user, was not sufficiently sanitized. Successful exploitation could result in unauthorized UI manipulation and outbound network requests issued from the viewing user's browser session.

elastic

phpMyFAQ before 4.1.2 contains an insufficient authorization vulnerability in admin-api routes that allows authenticated ordinary users to access administrative endpoints by only checking login status instead of verifying backend privileges. Attackers with valid frontend user accounts can access sensitive backend operational information including dashboard versions, LDAP configuration, Elasticsearch statistics, and health-check data.

The nexent v1.7.5.2 backend service contains an unauthorized arbitrary file deletion vulnerability in its ElasticSearch service interface. The DELETE /{index_name}/documents endpoint lacks proper authentication and authorization controls and does not validate the user-supplied path_or_url parameter. This allows unauthenticated remote attackers to send crafted requests that trigger the deletion of arbitrary documents from ElasticSearch indices and corresponding files from the MinIO storage system. Successful exploitation leads to data destruction and denial of service.

nexent

The Elasticsearch logging provider, when configured with a `host` URL that embeds credentials (for example `https://user:password@server.example.com:9200`), wrote the full host URL — including the embedded credentials — into task logs. Any user with task-log read permission could harvest the backend credentials. Users are advised to upgrade to `apache-airflow-providers-elasticsearch` 6.5.3 or later and, as a defense-in-depth measure, configure the backend credentials via a secret backend rather than embedding them in the `[elasticsearch] host` URL.

apache

When configured to use an SSL bundle, Spring Boot's Elasticsearch auto-configuration does not perform hostname verification when connecting to the Elasticsearch server. Affected: Spring Boot 4.0.0–4.0.5; upgrade to 4.0.6 or later per vendor advisory.

vmware

Mahara before 25.04.2 and 24.04.11 are vulnerable to displaying results that can trigger XSS via a malicious search query string. This occurs in the 'search site' feature when using the Elasticsearch7 search plugin. The Elasticsearch function does not properly sanitize input in the query parameter.

Execution with Unnecessary Privileges (CWE-250) in Kibana’s Fleet plugin debug route handlers can lead reading index data beyond their direct Elasticsearch RBAC scope via Privilege Abuse (CAPEC-122). This requires an authenticated Kibana user with Fleet sub-feature privileges (such as agents, agent policies, and settings management).

elastic

A vulnerability was determined in Dataease SQLbot up to 1.6.0. This issue affects the function get_es_data_by_http of the file backend/apps/db/es_engine.py of the component Elasticsearch Handler. This manipulation of the argument address causes server-side request forgery. The attack may be initiated remotely. The exploit has been publicly disclosed and may be utilized. Upgrading to version 1.7.0 is capable of addressing this issue. You should upgrade the affected component. The vendor was contacted early about this disclosure.

ImpactWhen an application passes user-controlled input to the upgrade option of client.request(), an attacker can inject CRLF sequences (\r\n) to: * Inject arbitrary HTTP headers * Terminate the HTTP request prematurely and smuggle raw data to non-HTTP services (Redis, Memcached, Elasticsearch) The vulnerability exists because undici writes the upgrade value directly to the socket without validating for invalid header characters: // lib/dispatcher/client-h1.js:1121 if (upgrade) { header += `connection: upgrade\r\nupgrade: ${upgrade}\r\n` }

nodejs

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can allow an authenticated user with snapshot restore privileges to cause Excessive Allocation (CAPEC-130) of memory and a denial of service (DoS) via crafted HTTP request.

elastic

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can allow a low-privileged authenticated user to cause Excessive Allocation (CAPEC-130) causing a persistent denial of service (OOM crash) via submission of oversized user settings data.

elastic

Improper Authentication in Elasticsearch PKI realm can lead to user impersonation via specially crafted client certificates. A malicious actor would need to have such a crafted client certificate signed by a legitimate, trusted Certificate Authority.

elastic

Fluent Bit in_http, in_splunk, and in_elasticsearch input plugins contain a flaw in the tag_key validation logic that fails to enforce exact key-length matching. This allows crafted inputs where a tag prefix is incorrectly treated as a full match. A remote attacker with authenticated or exposed access to these input endpoints can exploit this behavior to manipulate tags and redirect records to unintended destinations. This compromises the authenticity of ingested logs and can allow injection of forged data, alert flooding and routing manipulation.

treasuredata

Fluent Bit in_http, in_splunk, and in_elasticsearch input plugins fail to sanitize tag_key inputs. An attacker with network access or the ability to write records into Splunk or Elasticsearch can supply tag_key values containing special characters such as newlines or ../ that are treated as valid tags. Because tags influence routing and some outputs derive filenames or contents from tags, this can allow newline injection, path traversal, forged record injection, or log misrouting, impacting data integrity and log routing.

treasuredata

Insertion of sensitive information in log file in Elasticsearch can lead to loss of confidentiality under specific preconditions when auditing requests to the reindex API https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-reindex

elastic

Nagios Log Server before 2024R1.3.2 allows authenticated users (with read-only API access) to stop the Elasticsearch service via a /nagioslogserver/index.php/api/system/stop?subsystem=elasticsearch call. The service stops even though "message": "Could not stop elasticsearch" is in the API response. This is GL:NLS#474.

nagios

CubeAPM nightly-2025-08-01-1 allow unauthenticated attackers to inject arbitrary log entries into production systems via the /api/logs/insert/elasticsearch/_bulk endpoint. This endpoint accepts bulk log data without requiring authentication or input validation, allowing remote attackers to perform unauthorized log injection. Exploitation may lead to false log entries, log poisoning, alert obfuscation, and potential performance degradation of the observability pipeline. The issue is present in the core CubeAPM platform and is not limited to specific deployment configurations.

CISA Thorium does not validate TLS certificates when connecting to Elasticsearch. An unauthenticated attacker with access to a Thorium cluster could impersonate the Elasticsearch service. Fixed in 1.1.2.

cisa

diskover-web v2.3.0 Community Edition is vulnerable to multiple boolean-based blind SQL injection flaws in its Elasticsearch configuration form. Unsanitized user input in POST parameters such as ES_PASS, ES_MAXSIZE, ES_TRANSLOGSIZE, ES_TIMEOUT, ES_USER, ES_HOST, ES_PORT, ES_SCROLLSIZE, ES_CHUNKSIZE and others can be crafted to inject arbitrary SQLite expressions wrapped in JSON functions. By exploiting these injection points, an attacker can infer or extract sensitive information from the underlying database without authentication. This issue stems from improper input validation and parameterization in the application's JSON-based query construction.

diskoverdata

Uncontrolled Resource Consumption in Elasticsearch while evaluating specifically crafted search templates with Mustache functions can lead to Denial of Service by causing the Elasticsearch node to crash.

elastic

An issue was discovered in Elasticsearch, where a large recursion using the Well-KnownText formatted string with nested GeometryCollection objects could cause a stackoverflow.

elastic

A flaw was discovered in Elasticsearch, where a large recursion using the innerForbidCircularReferences function of the PatternBank class could cause the Elasticsearch node to crash. A successful attack requires a malicious user to have read_pipeline Elasticsearch cluster privilege assigned to them.

elastic