Kibana versions before 7.12.1 contain a denial of service vulnerability was found in the webhook actions due to a lack of timeout or a limit on the request size. An attacker with permissions to create webhook actions could drain the Kibana host connection pool, making Kibana unavailable for all other users.

Uncontrolled Resource Consumption (CWE-400) in the Timelion component in Kibana can lead Denial of Service via Input Data Manipulation (CAPEC-153)

Improper Input Validation (CWE-20) in the internal Content Connectors search endpoint in Kibana can lead Denial of Service via Input Data Manipulation (CAPEC-153)

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted request. This causes the application to perform redundant processing operations that continuously consume system resources until service degradation or complete unavailability occurs.

Improper Input Validation (CWE-20) in Kibana's Email Connector can allow an attacker to cause an Excessive Allocation (CAPEC-130) through a specially crafted email address parameter. This requires an attacker to have authenticated access with view-level privileges sufficient to execute connector actions. The application attempts to process specially crafted email format, resulting in complete service unavailability for all users until manual restart is performed.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana Fleet can lead to Excessive Allocation (CAPEC-130) via a specially crafted bulk retrieval request. This requires an attacker to have low-level privileges equivalent to the viewer role, which grants read access to agent policies. The crafted request can cause the application to perform redundant database retrieval operations that immediately consume memory until the server crashes and becomes unavailable to all users.

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.

Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can allow a low-privileged authenticated user to cause Excessive Allocation (CAPEC-130) of computing resources and a denial of service (DoS) of the Kibana process via a crafted HTTP request.

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.

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 Elasticsearch can lead to an OutOfMemoryError exception resulting in a crash via a specially crafted query using an SQL function.

A flaw was discovered in Elasticsearch, affecting the _search API that allowed a specially crafted query string to cause a Stack Overflow and ultimately a Denial of Service.

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 request to /api/log_entries/summary. This can be carried out by users with read access to the Observability-Logs feature in Kibana.

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.

A flaw (CVE-2022-38900) was discovered in one of Kibana’s third party dependencies, that could allow an authenticated user to perform a request that crashes the Kibana server process.

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.

It was identified that malformed scripts used in the script processor of an Ingest Pipeline could cause an Elasticsearch node to crash when calling the Simulate Pipeline API.

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.

Improper Validation of Specified Index, Position, or Offset in Input (CWE-1285) in Filebeat Syslog parser and the Libbeat Dissect processor can allow a user to trigger a Buffer Overflow (CAPEC-100) and cause a denial of service (panic/crash) of the Filebeat process via either a malformed Syslog message or a malicious tokenizer pattern in the Dissect configuration.

Inconsistent object size validation in time series processing logic may result in later processing of oversized BSON documents leading to an assert failing and process termination. This issue impacts MongoDB Server v7.0 versions prior to 7.0.26, v8.0 versions prior to 8.0.16 and MongoDB server v8.2 versions prior to 8.2.1.

An issue has been discovered in GitLab CE/EE affecting all versions from 10.7 before 18.1.6, 18.2 before 18.2.6, and 18.3 before 18.3.2 that could have allowed authenticated users to disrupt access to token listings and related administrative operations by creating tokens with excessively large names.

IBM InfoSphere Information Server 11.7 could allow an authenticated user to GUI to not load or stop working due to improper input validation.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 12.1.0 through 12.1.3 could allow an authenticated user to cause a denial of service due to improper neutralization of special elements in data query logic with federated objects.

Unrestricted file size limit can lead to DoS in tooljet/tooljet <1.27 by allowing a logged in attacker to upload profile pictures over 2MB.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) could allow a user to cause a denial of service due to improper neutralization of special elements in data query logic.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) could allow a user to cause a denial of service due to insufficient validation of special elements in data query logic.

IBM Controller 11.1.0 through 11.1.1 and IBM Cognos Controller 11.0.0 through 11.0.1 FP6 could allow an authenticated user to cause a denial of service due to improper validation of a specified quantity size input.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 12.1.0 - 12.1.3 could allow a local user to cause a denial of service due to improper neutralization of special elements in data query logic.

IBM® Db2® is vulnerable to a denial of service with a specially crafted query that uses ALTER TABLE operations.

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) could allow an authenticated user to cause a denial of service due to excessive use of a global variable.

IBM Cloud Pak For Business Automation 25.0.0, 24.0.1, and 24.0.0 could allow an authenticated user to cause a denial of service due to the improper validation of input length.

The Eaton Foreseer software provides multiple customizable input fields for the users to configure parameters in the tool like alarms, reports, etc. Some of these input fields were not checking the length and bounds of the entered value. The exploit of this security flaw by a bad actor may result in excessive memory consumption or integer overflow.

Improper input validation in some Zoom clients may allow an authenticated user to conduct a denial of service via network access.

A lack of length validation in GitLab CE/EE affecting all versions from 12.4 before 15.6.7, 15.7 before 15.7.6, and 15.8 before 15.8.1 allows an authenticated attacker to create a large Issue description via GraphQL which, when repeatedly requested, saturates CPU usage.

A lack of length validation in Snippet descriptions in GitLab CE/EE affecting all versions prior to 15.1.6, 15.2 prior to 15.2.4 and 15.3 prior to 15.3.2 allows an authenticated attacker to create a maliciously large Snippet which when requested with or without authentication places excessive load on the server, potential leading to Denial of Service.

NVIDIA’s distribution of the Data Plane Development Kit (MLNX_DPDK) contains a vulnerability in the network stack, where error recovery is not handled properly, which can allow a remote attacker to cause denial of service and some impact to data integrity and confidentiality.

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5.0 through 11.5.9 and 12.1.0 through 12.1.3 could allow an authenticated user to cause a denial of service due to improper neutralization of special elements in data query logic