A flaw was discovered in Elasticsearch, where processing a document in a deeply nested pipeline on an ingest node could cause the Elasticsearch node to crash.

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.

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

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

An issue has been identified with how Elasticsearch handled incoming requests on the HTTP layer. An unauthenticated user could force an Elasticsearch node to exit with an OutOfMemory error by sending a moderate number of malformed HTTP requests. The issue was identified by Elastic Engineering and we have no indication that the issue is known or that it is being exploited in the wild.

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.

Packetbeat versions prior to 5.6.4 are affected by a denial of service flaw in the PostgreSQL protocol handler. If Packetbeat is listening for PostgreSQL traffic and a user is able to send arbitrary network traffic to the monitored port, the attacker could prevent Packetbeat from properly logging other PostgreSQL traffic.

Logstash versions prior to 2.3.3, when using the Netflow Codec plugin, a remote attacker crafting malicious Netflow v5, Netflow v9 or IPFIX packets could perform a denial of service attack on the Logstash instance. The errors resulting from these crafted inputs are not handled by the codec and can cause the Logstash process to exit.

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.

Kibana versions prior to 5.2.1 configured for SSL client access, file descriptors will fail to be cleaned up after certain requests and will accumulate over time until the process crashes.

A Denial of Service flaw was discovered in Elasticsearch. Using this vulnerability, an unauthenticated attacker could forcibly shut down an Elasticsearch node with a specifically formatted network request.

Inefficient Regular Expression Complexity (CWE-1333) in the AI Inference Anonymization Engine in Kibana can lead Denial of Service via Regular Expression Exponential Blowup (CAPEC-492).

Improper Validation of Array Index (CWE-129) in the PostgreSQL protocol parser in Packetbeat can lead Denial of Service via Input Data Manipulation (CAPEC-153). An attacker can send a specially crafted packet causing a Go runtime panic that terminates the Packetbeat process. This vulnerability requires the pgsql protocol to be explicitly enabled and configured to monitor traffic on the targeted port.

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)

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.

Improper Validation of Array Index (CWE-129) exists in Metricbeat can allow an attacker to cause a Denial of Service through Input Data Manipulation (CAPEC-153) via specially crafted, malformed payloads sent to the Graphite server metricset or Zookeeper server metricset. Additionally, Improper Input Validation (CWE-20) exists in the Prometheus helper module that can allow an attacker to cause a Denial of Service through Input Data Manipulation (CAPEC-153) via specially crafted, malformed metric data.

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated low-privileged user can exploit an uncontrolled resource consumption vulnerability in Kibana's Canvas functionality by sending a specially crafted request, causing the Kibana server process to terminate and resulting in a denial of service for all users of the affected Kibana instance.

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.

Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Exponential Data Expansion (CAPEC-197). An authenticated user may submit a specially crafted query to the ES|QL engine that causes exponential CPU consumption during query evaluation. Because the resource exhaustion persists beyond query completion, repeated requests can fully exhaust the available query worker resources, rendering ES|QL queries unavailable until the node is restarted.

Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). A user with search privileges can submit a specially crafted search request that causes a data node to exhaust available heap memory, resulting in node unavailability and cluster degradation. An attacker could leverage this vulnerability to cause cluster downtime requiring manual intervention to restore service.

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user with permission to execute EQL sequence queries against an index they control can send a specially crafted query that triggers excessive memory consumption, causing the Elasticsearch node to crash.

A high-privileged user, allowed to create custom osquery packs 17 could affect the availability of Kibana by uploading a maliciously crafted osquery pack.

Uncontrolled Resource Consumption (CWE-400) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted bulk request that causes sustained high CPU consumption, which can render the affected node unable to process requests.

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.

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.

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.

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.

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 (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.

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with access to the automatic import feature can submit specially crafted requests with excessively large input values. When multiple such requests are sent concurrently, the backend services become unstable, resulting in service disruption and deployment unavailability for all users.

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user holding a low-privileged role can submit a specially crafted, oversized payload to an internal Kibana API, causing the Kibana process to exhaust available resources and become unresponsive to all users until the service recovers or is restarted.

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.

Kibana versions before 6.8.11 and 7.8.1 contain a denial of service (DoS) flaw in Timelion. An attacker can construct a URL that when viewed by a Kibana user can lead to the Kibana process consuming large amounts of CPU and becoming unresponsive.

ReadWEBPImage in coders/webp.c in ImageMagick 7.0.6-5 has an issue where memory allocation is excessive because it depends only on a length field in a header.

The O-RAN E2T I-Release Prometheus metric Increment function can crash in sctpThread.cpp for message.peerInfo->counters[IN_INITI][MSG_COUNTER][ProcedureCode_id_E2setup]->Increment().

In Eclipse Parsson published Maven Central artifacts before version 1.1.8, the JSON parser did not enforce a default maximum on the number of characters consumed while parsing a single JSON document. Applications that parse attacker- controlled JSON can be forced to consume excessive CPU and memory by processing very large documents, including large arrays, objects, strings, numbers, whitespace, or nested structures, resulting in a denial of service. Eclipse Parsson 1.1.8 introduces a configurable maximum parsing limit with a default limit of 15 million parser-consumed characters.

Denial-of-service due to invalid pointer in the Audio/Video: Web Codecs component. This vulnerability was fixed in Firefox 151, Firefox ESR 140.11, Thunderbird 151, and Thunderbird 140.11.

In ImageMagick 7.0.6-6, a memory exhaustion vulnerability was found in the function format8BIM, which allows attackers to cause a denial of service.

Yet Another Reverse Proxy (YARP) Denial of Service Vulnerability

Bitcoin Core before 24.1, when debug mode is not used, allows attackers to cause a denial of service (e.g., CPU consumption) because draining the inventory-to-send queue is inefficient, as exploited in the wild in May 2023.

When the BIG-IP APM 14.1.0-14.1.2, 14.0.0-14.0.1, 13.1.0-13.1.3.1, 12.1.0-12.1.4.1, or 11.5.1-11.6.5 system processes certain requests, the APD/APMD daemon may consume excessive resources.

IBM WebSphere Application Server 9.0, and 8.5 and IBM WebSphere Application Server - Liberty 17.0.0.3 through 26.0.0.6 are vulnerable to a denial of service, caused by sending a specially-crafted request. A remote attacker could exploit this vulnerability to cause the server to consume memory resources.

On BIG-IP 15.0.0-15.0.1, 14.1.0-14.1.0.5, 14.0.0-14.0.0.4, 13.1.0-13.1.1.5, 12.1.0-12.1.4.1, and 11.5.1-11.6.5, under certain conditions, TMM may consume excessive resources when processing traffic for a Virtual Server with the FIX (Financial Information eXchange) profile applied.

Remote prevention of access to cellular service with no user interaction (for example, crashing the cellular radio service with a malformed packet)

On versions 15.0.0-15.0.1.1, 14.1.0-14.1.2.2, 14.0.0-14.0.1, 13.1.0-13.1.3.2, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, BIG-IP virtual servers with Loose Initiation enabled on a FastL4 profile may be subject to excessive flow usage under undisclosed conditions.

Transient DOS in WLAN Firmware while parsing a NAN management frame.

IBM Langflow OSS 1.0.0 through 1.9.0 could allow a denial of service due to uncontrolled resource consumption.