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.

This vulnerability exists in the Wave 2.0 due to missing rate limiting on OTP requests in an API endpoint. An authenticated remote attacker could exploit this vulnerability by sending multiple OTP request through vulnerable API endpoint which could lead to the OTP bombing/flooding on the targeted system.

A denial of service (DoS) vulnerability was found in OpenShift. This flaw allows attackers to exploit the GraphQL batching functionality. The vulnerability arises when multiple queries can be sent within a single request, enabling an attacker to submit a request containing thousands of aliases in one query. This issue causes excessive resource consumption, leading to application unavailability for legitimate users.

uri-js is a module that tries to fully implement RFC 3986. One of these features is validating whether or not a supplied URL is valid or not. To do this, uri-js uses a regular expression, This regular expression is vulnerable to redos. This causes the program to hang and the CPU to idle at 100% usage while uri-js is trying to validate if the supplied URL is valid or not. To check if you're vulnerable, look for a call to `require("uri-js").parse()` where a user is able to send their own input. This affects uri-js 2.1.1 and earlier.

An uncontrolled resource consumption vulnerability was discovered in HAProxy which could crash the service. This issue could allow an authenticated remote attacker to run a specially crafted malicious server in an OpenShift cluster. The biggest impact is to availability.

Uncontrolled resource consumption in some Zoom Apps before version 6.2.0 may allow an authenticated user to conduct a denial of service via network access.

WordPress before 2.0.5 does not properly store a profile containing a string representation of a serialized object, which allows remote authenticated users to cause a denial of service (application crash) via a string that represents a (1) malformed or (2) large serialized object, because the object triggers automatic unserialization for display.

An issue has been discovered in GitLab CE/EE affecting all versions from 10.7 before 17.11.5, 18.0 before 18.0.3, and 18.1 before 18.1.1 that could have allowed authenticated attackers to create a DoS condition by sending crafted GraphQL requests.

CUBA Platform is a high level framework for enterprise applications development. Prior to version 7.2.23, the local file storage implementation does not restrict the size of uploaded files. An attacker could exploit this by uploading excessively large files, potentially causing the server to run out of space and return HTTP 500 error, resulting in a denial of service. This issue has been patched in version 7.2.23. A workaround is provided on the Jmix documentation website.

Mattermost versions 11.6.x <= 11.6.0, 11.5.x <= 11.5.2, 11.5.x <= 11.5.3, 11.4.x <= 11.4.4, 10.11.x <= 10.11.14 fail to validate the TIFF IFD offset in the image header before allocating memory, which allows authenticated users with file upload or posting permissions to cause a denial of service (server OOM) via uploading a crafted TIFF file or posting a URL that serves one.. Mattermost Advisory ID: MMSA-2026-00648

Allocation of Resources Without Limits or Throttling in GitHub repository ikus060/rdiffweb prior to 2.5.5.

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.

Foundry Artifacts was found to be vulnerable to a Denial Of Service attack due to disk being potentially filled up based on an user supplied argument (size).

Uncontrolled resource consumption in ekorRCI, allowing an attacker with low-privileged access to the web server to send continuous legitimate web requests to a functionality that is not properly validated, in order to cause a denial of service (DoS) on the device.

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.4R2-EVO, * 22.1 versions before 22.1R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47505 and CVE-2024-47508.

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.4R3-S7-EVO, * 22.1 versions before 22.1R3-S6-EVO, * 22.2 versions before 22.2R3-EVO,  * 22.3 versions before 22.3R3-EVO, * 22.4 versions before 22.4R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47508 and CVE-2024-47509.

Dell PowerScale OneFS versions 8.2.2.x through 9.9.0.0 contain an uncontrolled resource consumption vulnerability. A remote low privileged attacker could potentially exploit this vulnerability, leading to denial of service.

Nautobot is a Network Source of Truth and Network Automation Platform. Prior to 2.4.33 and 3.1.2, Nautobot UI object-bulk-rename endpoints (for example, /dcim/interfaces/rename/) were vulnerable to application-wide denial of service via maliciously crafted regular expressions in the find field in combination with the use_regex flag. This vulnerability is fixed in 2.4.33 and 3.1.2.

An Allocation of Resources Without Limits or Throttling vulnerability in the PFE management daemon (evo-pfemand) of Juniper Networks Junos OS Evolved allows an authenticated, network-based attacker to cause an FPC crash leading to a Denial of Service (DoS).When specific SNMP GET operations or specific low-priviledged CLI commands are executed, a GUID resource leak will occur, eventually leading to exhaustion and resulting in FPCs to hang. Affected FPCs need to be manually restarted to recover. GUID exhaustion will trigger a syslog message like one of the following: evo-pfemand[<pid>]: get_next_guid: Ran out of Guid Space ... evo-aftmand-zx[<pid>]: get_next_guid: Ran out of Guid Space ... The leak can be monitored by running the following command and taking note of the values in the rightmost column labeled Guids: user@host> show platform application-info allocations app evo-pfemand/evo-pfemand In case one or more of these values are constantly increasing the leak is happening. This issue affects Junos OS Evolved: * All versions before 21.2R3-S8-EVO, * 21.3 versions before 21.3R3-EVO; * 21.4 versions before 22.1R2-EVO, * 22.1 versions before 22.1R1-S1-EVO, 22.1R2-EVO. Please note that this issue is similar to, but different from CVE-2024-47505 and CVE-2024-47509.

IBM Security Verify Information Queue 10.0.5, 10.0.6, 10.0.7, and 10.0.8 could allow a remote user to cause a denial of service due to improper handling of special characters that could lead to uncontrolled resource consumption.

An allocation of resources without limits or throttling vulnerability has been reported to affect File Station 5. If a remote attacker gains a user account, they can then exploit the vulnerability to prevent other systems, applications, or processes from accessing the same type of resource. We have already fixed the vulnerability in the following version: File Station 5 5.5.6.4907 and later

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.

When an application opts into DelegatingDeserializer, a producer can grow the consumer's heap without bound by sending records with unique random spring.kafka.serialization.selector header values, eventually causing GC thrash and OutOfMemoryError. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.

OpenClaw before 2026.4.8 contains improper input validation in base64 decode paths that allocate memory before enforcing decoded-size limits. Attackers can exploit multiple code paths to cause memory exhaustion or denial of service through crafted base64-encoded input.

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.

IBM WebSphere Application Server Admin Console 7.5, 8.0, 8.5, and 9.0 is vulnerable to a potential denial of service, caused by improper parameter parsing. A remote attacker could exploit this to consume all available CPU resources. IBM X-Force ID: 157380.

Multiple Denial of Service (DoS) conditions has been discovered in GitLab CE/EE affecting all versions starting from 1.0 prior to 16.11.5, starting from 17.0 prior to 17.0.3, and starting from 17.1 prior to 17.1.1 which allowed an attacker to cause resource exhaustion via banzai pipeline.

OpenClaw before 2026.3.31 contains a resource exhaustion vulnerability in media downloads that bypasses core safety limits for file size, count, and cleanup operations. Attackers can exhaust disk space by downloading media files without triggering intended safety restrictions, causing availability impact.

An issue has been discovered in GitLab CE/EE affecting all versions starting from 15.4 prior to 16.9.7, starting from 16.10 prior to 16.10.5, and starting from 16.11 prior to 16.11.2 where abusing the API to filter branch and tags could lead to Denial of Service.

Tekton Pipelines project provides k8s-style resources for declaring CI/CD-style pipelines. Starting in version 1.0.0 and prior to versions 1.0.2, 1.3.4, 1.6.2, 1.9.3, and 1.11.1, the HTTP resolver's FetchHttpResource function calls io.ReadAll(resp.Body) with no response body size limit. Any tenant with permission to create TaskRuns or PipelineRuns that reference the HTTP resolver can point it at an attacker-controlled HTTP server that returns a very large response body within the 1-minute timeout window, causing the tekton-pipelines-resolvers pod to be OOM-killed by Kubernetes. Because all resolver types (Git, Hub, Bundle, Cluster, HTTP) run in the same pod, crashing this pod denies resolution service to the entire cluster. Repeated exploitation causes a sustained crash loop. The same vulnerable code path is reached by both the deprecated pkg/resolution/resolver/http and the current pkg/remoteresolution/resolver/http implementations. Versions 1.0.2, 1.3.4, 1.6.2, 1.9.3, and 1.11.1 fix the issue.

In Concrete CMS (formerly concrete5) below 8.5.10 and between 9.0.0 and 9.1.2, the authTypeConcreteCookieMap table can be filled up causing a denial of service (high load).

OOM error is possible while attempting to add infinite amount of functions to Function Registry. Affected Spring Products and Versions: Spring Cloud Function 3.2.x: versions prior to 3.2.16 Spring Cloud Function 4.1.x: versions prior to 4.1.10 Spring Cloud Function 4.2.x: versions prior to 4.2.6 Spring Cloud Function 4.3.x: versions prior to 4.3.3 Spring Cloud Function 5.0.x: versions prior to 5.0.2 Older, unsupported versions are also affected.

In Splunk Enterprise versions below 8.1.12, 8.2.9, and 9.0.2, a remote user who can create search macros and schedule search reports can cause a denial of service through the use of specially crafted search macros.

In Spring AI, a malicious PDF file can be crafted that triggers the allocation of unreasonable amounts of memory when handled by `ForkPDFLayoutTextStripper`. Affected versions: Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)

In Splunk Enterprise versions below 8.2.9, 8.1.12, and 9.0.2, sending a malformed file through the Splunk-to-Splunk (S2S) or HTTP Event Collector (HEC) protocols to an indexer results in a blockage or denial-of-service preventing further indexing.

Attacker can upload a malicious Sieve script over ManageSieve service (or locally) to bypass configured CPU time limits for Sieve up to 130 times of the configured limit. Attacker can use this to degrade server performance and bypass configured CPU time limits for Sieve scripts. Install fixed version, or alternatively prevent direct access to Sieve scripts via ManageSieve or local access. No publicly available exploits are known.

MinIO is a high-performance object storage system. From RELEASE.2018-08-18T03-49-57Z to before RELEASE.2025-12-20T04-58-37Z, MinIO's S3 Select feature is vulnerable to memory exhaustion when processing CSV files containing lines longer than available memory. The CSV reader's nextSplit() function calls bufio.Reader.ReadBytes('\n') with no size limit, buffering the entire input in memory until a newline is found. A CSV file with no newline characters causes the entire contents to be read into a single allocation, leading to an OOM crash of the MinIO server process. This is exploitable by any authenticated user with s3:PutObject and s3:GetObject permissions. The attack is especially practical when combined with compression: a ~2 MB gzip-compressed CSV can decompress to gigabytes of data without newlines, allowing a small upload to cause large memory consumption on the server. However, compression is not required — a sufficiently large uncompressed CSV with no newlines triggers the same issue.

A vulnerable regular expression pattern in GitLab CE/EE since version 8.15 before 14.3.6, all versions starting from 14.4 before 14.4.4, all versions starting from 14.5 before 14.5.2, allows an attacker to cause uncontrolled resource consumption leading to Denial of Service via specially crafted deploy Slash commands

vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The num_frames parameter (default: 32), which is enforced by the load_bytes() code path, is completely bypassed in the video/jpeg base64 path. An attacker can send a single API request containing thousands of comma-separated base64-encoded JPEG frames, causing the server to decode all frames into memory and crash with OOM. This vulnerability is fixed in 0.19.0.

A missing upper-bound check in the udpif_set_threads() function of Open vSwitch v3.6.90 allows an attacker with OVSDB write access to request an excessive number of handler or revalidation threads. This can cause a denial of service (DoS) via resource exhaustion.

vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionRequest Pydantic models, an unauthenticated attacker can send a single HTTP request with an astronomically large n value. This completely blocks the Python asyncio event loop and causes immediate Out-Of-Memory crashes by allocating millions of request object copies in the heap before the request even reaches the scheduling queue. This vulnerability is fixed in 0.19.0.

Jellyfin is an open source self hosted media server. Versions prior to 10.11.7 contain a denial of service vulnerability in the SyncPlay group creation endpoint (POST /SyncPlay/New), where an authenticated user can create groups with names of unlimited size due to insufficient input validation. By sending large payloads combined with arbitrary group IDs, an attacker can lock out the endpoint for other clients attempting to join SyncPlay groups and significantly increase the memory usage of the Jellyfin process, potentially leading to an out-of-memory crash. This issue has been fixed in version 10.11.7.

A flaw was found in freeradius. A malicious RADIUS client or home server can send a malformed abinary attribute which can cause the server to crash.

In Splunk Enterprise versions below 9.3.1, 9.2.3, and 9.1.6 and Splunk Cloud Platform versions below 9.2.2403.107, 9.1.2312.204, and 9.1.2312.111, a low-privileged user that does not hold the "admin" or "power" Splunk roles could craft a search query with an improperly formatted "INGEST_EVAL" parameter as part of a [Field Transformation](https://docs.splunk.com/Documentation/Splunk/latest/Knowledge/Managefieldtransforms) which could crash the Splunk daemon (splunkd).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Active Storage allows users to attach cloud and local files in Rails applications. Prior to versions 8.1.2.1, 8.0.4.1, and 7.2.3.1 Active Storage's proxy controller does not limit the number of byte ranges in an HTTP Range header. A request with thousands of small ranges causes disproportionate CPU usage compared to a normal request for the same file, possibly resulting in a DoS vulnerability. Versions 8.1.2.1, 8.0.4.1, and 7.2.3.1 contain a patch.

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).

In BIG-IP versions 17.0.x before 17.0.0.1, 16.1.x before 16.1.3.1, 15.1.x before 15.1.7, 14.1.x before 14.1.5.1, and all versions of 13.1.x, and BIG-IQ all versions of 8.x and 7.x, an authenticated iControl REST user can cause an increase in memory resource utilization, via undisclosed requests.