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.

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)

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.

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.

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to a denial of service via Excessive Allocation (CAPEC-130). An authenticated user can submit a specially crafted query that causes excessive resource consumption while the request is processed, which may render the affected node unavailable.

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.

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.

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.

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.

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.

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.

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.

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 Fleet Server can lead to a denial of service via Excessive Allocation (CAPEC-130). An attacker can submit a specially crafted request to an upload endpoint that causes excessive memory consumption, which may render Fleet Server unavailable.

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.

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.

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.

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 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.

Improper Validation of Specified Quantity in Input (CWE-1284) in Kibana can allow an authenticated attacker with view-only privileges to cause a Denial of Service via Input Data Manipulation (CAPEC-153). An attacker can send a specially crafted, malformed payload causing excessive resource consumption and resulting in Kibana becoming unresponsive or crashing.

Improper Validation of Specified Quantity in Input (CWE-1284) in the Timelion visualization plugin in Kibana can lead Denial of Service via Excessive Allocation (CAPEC-130). The vulnerability allows an authenticated user to send a specially crafted Timelion expression that overwrites internal series data properties with an excessively large quantity value.

Uncontrolled Resource Consumption (CWE-400) in the Timelion component 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 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.

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.

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.

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.

In Elasticsearch versions before 7.13.3 and 6.8.17 an uncontrolled recursion vulnerability that could lead to a denial of service attack was identified in the Elasticsearch Grok parser. A user with the ability to submit arbitrary queries to Elasticsearch could create a malicious Grok query that will crash the Elasticsearch node.

When the Elastic APM agent for Python versions before 5.1.0 is run as a CGI script, there is a variable name clash flaw if a remote attacker can control the proxy header. This could result in an attacker redirecting collected APM data to a proxy of their choosing.

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.

In etcd before versions 3.3.23 and 3.4.10, a large slice causes panic in decodeRecord method. The size of a record is stored in the length field of a WAL file and no additional validation is done on this data. Therefore, it is possible to forge an extremely large frame size that can unintentionally panic at the expense of any RAFT participant trying to decode the WAL.

HAX CMS NodeJs allows users to manage their microsite universe with a NodeJs backend. In versions 11.0.8 and below, the HAX CMS NodeJS application crashes when an authenticated attacker provides an API request lacking required URL parameters. This vulnerability affects the listFiles and saveFiles endpoints. This vulnerability exists because the application does not properly handle exceptions which occur as a result of changes to user-modifiable URL parameters. This is fixed in version 11.0.9.

Improper input validation in Windows Local Security Authority Subsystem Service (LSASS) allows an authorized attacker to deny service over a network.

Laminas Diactoros provides PSR HTTP Message implementations. In versions 2.18.0 and prior, 2.19.0, 2.20.0, 2.21.0, 2.22.0, 2.23.0, 2.24.0, and 2.25.0, users who create HTTP requests or responses using laminas/laminas-diactoros, when providing a newline at the start or end of a header key or value, can cause an invalid message. This can lead to denial of service vectors or application errors. The problem has been patched in following versions 2.18.1, 2.19.1, 2.20.1, 2.21.1, 2.22.1, 2.23.1, 2.24.1, and 2.25.1. As a workaround, validate HTTP header keys and/or values, and if using user-supplied values, filter them to strip off leading or trailing newline characters before calling `withHeader()`.

In a CVX cluster, an EOS switch connected to a CVX server is not resilient to certain malformed messages received from the connected CVX server. Similarly, the CVX server is not resilient to certain malformed messages received from the connected EOS switch. This leads to either a Sysdb agent crash on the EOS device causing a soft reset of the switch or agent crashes on the CVX server causing instability of the CVX cluster. An attacker could use this behavior to create a denial of service (DoS) scenario. Note that this would require the attacker to already have a high privilege access to the connected device to be able to send custom TCP packets. EOS switches that are not connected to a CVX server are not impacted.

IBM Watson Knowledge Catalog on Cloud Pak for Data 4.0 could allow an authenticated user send a specially crafted request that could cause a denial of service. IBM X-Force ID: 251704.

An improper input validation vulnerability in the TLS certificate generation function allows an attacker to cause a Denial-of-Service (DoS) condition which can only be reverted via a factory reset. This issue affects: Lanner Inc IAC-AST2500A standard firmware version 1.10.0.

Nessus versions 8.6.0 and earlier were found to contain a Denial of Service vulnerability due to improper validation of specific imported scan types. An authenticated, remote attacker could potentially exploit this vulnerability to cause a Nessus scanner to become temporarily unresponsive.

IBM Security Verify Access 10.0.0, 10.0.1, 10.0.2, 10.0.3, 10.0.4, and 10.0.5 could allow an attacker to crash the webseald process using specially crafted HTTP requests resulting in loss of access to the system. IBM X-Force ID: 247635.

TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model (Check Failed) and can be used to trigger a denial of service attack. A proof of concept can be constructed with the `Convolution3DTranspose` function. This Convolution3DTranspose layer is a very common API in modern neural networks. The ML models containing such vulnerable components could be deployed in ML applications or as cloud services. This failure could be potentially used to trigger a denial of service attack on ML cloud services. An attacker must have privilege to provide input to a `Convolution3DTranspose` call. This issue has been patched and users are advised to upgrade to version 2.11.1. There are no known workarounds for this vulnerability.

Windows CryptoAPI Denial of Service Vulnerability

vLLM is an inference and serving engine for large language models (LLMs). In version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue.

Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows an attacker to cause a service disruption by manipulating the run_id parameter. This vulnerability is considered low since it requires an authenticated user to exploit it. It is recommended to upgrade to a version that is not affected

A Denial of Service vulnerability exists in the ITMS workflow process manager login window in Symantec IT Management Suite 8.0.

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5 CLI is vulnerable to a denial of service when a specially crafted request is used. IBM X-Force ID: 268073.

In Octopus Deploy before 2019.10.6, an authenticated user with TeamEdit permission could send a malformed Team API request that bypasses input validation and causes an application level denial of service condition. (The fix for this was also backported to LTS 2019.9.8 and LTS 2019.6.14.)

Improper syscall input validation in the ASP Bootloader may allow a privileged attacker to read memory out-of-bounds, potentially leading to a denial-of-service.