IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 11.5.0 through 11.5.9 and 12.1.0 through 12.1.1 under specific configurations could allow an authenticated user to cause a denial of service due to insufficient release of allocated memory resources.

An issue has been discovered in GitLab CE/EE affecting all versions from 8.7 before 17.10.8, 17.11 before 17.11.4, and 18.0 before 18.0.2. Improper input validation in Tokens Names could be used to trigger a denial of service.

A Denial of Service (DoS) issue has been discovered in GitLab CE/EE affecting all up to 17.8.7, 17.9 prior to 17.9.6 and 17.10 prior to 17.10.4 A denial of service could occur upon injecting oversized payloads into CI pipeline exports.

An issue has been discovered in GitLab CE/EE affecting all versions from 8.13 before 17.10.7, 17.11 before 17.11.3, and 18.0 before 18.0.1. A lack of input validation in Board Names could be used to trigger a denial of service.

A Denial of Service (DoS) issue has been discovered in GitLab CE/EE affecting all versions starting from 7.14.1 prior to 17.3.7, 17.4 prior to 17.4.4, and 17.5 prior to 17.5.2. A denial of service could occur upon importing maliciously crafted content using the Fogbugz importer.

An issue has been discovered in GitLab CE/EE affecting all versions starting from 17.1 prior to 17.9.8, from 17.10 prior to 17.10.6, and from 17.11 prior to 17.11.2. It was possible to cause a DoS condition via GitHub import requests using a malicious crafted payload.

An issue has been discovered in GitLab CE/EE affecting all versions from 11.6 before 17.10.7, 17.11 before 17.11.3, and 18.0 before 18.0.1. A Discord webhook integration may cause DoS.

OpenFGA, an authorization/permission engine, is vulnerable to a denial of service attack in versions prior to 1.4.3. In some scenarios that depend on the model and tuples used, a call to `ListObjects` may not release memory properly. So when a sufficiently high number of those calls are executed, the OpenFGA server can create an `out of memory` error and terminate. Version 1.4.3 contains a patch for this issue.

There exists a security vulnerability in Jetty's ThreadLimitHandler.getRemote() which can be exploited by unauthorized users to cause remote denial-of-service (DoS) attack. By repeatedly sending crafted requests, attackers can trigger OutofMemory errors and exhaust the server's memory.

Jetty PushSessionCacheFilter can be exploited by unauthenticated users to launch remote DoS attacks by exhausting the server’s memory.

Marinus Pfund, member of the AXIS OS Bug Bounty Program, has found the VAPIX API alwaysmulti.cgi was vulnerable for file globbing which could lead to resource exhaustion of the Axis device. Axis has released patched AXIS OS versions for the highlighted flaw. Please refer to the Axis security advisory for more information and solution.

An issue has been discovered in GitLab CE/EE affecting all versions from 11.2 before 17.3.6, 17.4 before 17.4.3, and 17.5 before 17.5.1. A denial of service could occur via importing a malicious crafted XML manifest file.

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.

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.

In all Kubernetes versions prior to v1.11.8, v1.12.6, and v1.13.4, users that are authorized to make patch requests to the Kubernetes API Server can send a specially crafted patch of type "json-patch" (e.g. `kubectl patch --type json` or `"Content-Type: application/json-patch+json"`) that consumes excessive resources while processing, causing a Denial of Service on the API Server.

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).

lodash prior to 4.17.11 is affected by: CWE-400: Uncontrolled Resource Consumption. The impact is: Denial of service. The component is: Date handler. The attack vector is: Attacker provides very long strings, which the library attempts to match using a regular expression. The fixed version is: 4.17.11.

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.

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.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to a denial of service as the server may crash under certain conditions with a specially crafted query.

Mattermost versions 8.1.x before 8.1.12, 9.6.x before 9.6.1, 9.5.x before 9.5.3, 9.4.x before 9.4.5 fail to limit the number of active sessions, which allows an authenticated attacker to crash the server via repeated requests to the getSessions API after flooding the sessions table.

IBM Aspera Shares 1.9.0 through 1.10.0 PL6 does not properly rate limit the frequency that an authenticated user can send emails, which could result in email flooding or a denial of service.

An issue the background management system of Shanxi Internet Chuangxiang Technology Co., Ltd v1.0.1 allows a remote attacker to cause a denial of service via the index.html component.

A vulnerability has been identified in SIMATIC RTLS Locating Manager (6GT2780-0DA00) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA30) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA30) (All versions < V3.0.1.1). The affected application does not properly limit the size of specific logs. This could allow an unauthenticated remote attacker to exhaust system resources by creating a great number of log entries which could potentially lead to a denial of service condition. A successful exploitation requires the attacker to have access to specific SIMATIC RTLS Locating Manager Clients in the deployment.

Cyrus IMAP before 3.8.3 and 3.10.x before 3.10.0-rc1 allows authenticated attackers to cause unbounded memory allocation by sending many LITERALs in a single command.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to a denial of service, under specific configurations, as the server may crash when using a specially crafted SQL statement by an authenticated user.

IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to a denial of service as the server may crash when using a specially crafted query on certain columnar tables by an authenticated user. IBM X-Force ID: 287613.

Synapse is an open-source Matrix homeserver. A remote Matrix user with malicious intent, sharing a room with Synapse instances before 1.105.1, can dispatch specially crafted events to exploit a weakness in the V2 state resolution algorithm. This can induce high CPU consumption and accumulate excessive data in the database of such instances, resulting in a denial of service. Servers in private federations, or those that do not federate, are not affected. Server administrators should upgrade to 1.105.1 or later. Some workarounds are available. One can ban the malicious users or ACL block servers from the rooms and/or leave the room and purge the room using the admin API.

Mattermost Server versions 9.5.x before 9.5.2, 9.4.x before 9.4.4, 9.3.x before 9.3.3, 8.1.x before 8.1.11 don't limit the number of user preferences which allows an attacker to send a large number of user preferences potentially causing denial of service.

IBM Db2 for Linux, UNIX and Windows (includes DB2 Connect Server) 10.5, 11.1, and 11.5 is vulnerable to denial of service with a specially crafted query under certain conditions. IBM X-Force ID: 285246.

Resource Exhaustion in Mattermost Server versions 8.1.x before 8.1.10 fails to limit the size of the payload that can be read and parsed allowing an attacker to send a very large email payload and crash the server.

An issue has been discovered in GitLab CE/EE affecting all versions before 16.8.5, all versions starting from 16.9 before 16.9.3, all versions starting from 16.10 before 16.10.1. It was possible for an attacker to cause a denial of service using malicious crafted description parameter for labels.

An issue has been discovered in GitLab CE/EE affecting all versions before 16.10.6, version 16.11 before 16.11.3, and 17.0 before 17.0.1. A runner registered with a crafted description has the potential to disrupt the loading of targeted GitLab web resources.

The Image Uploader module in Liferay Portal 7.2.0 through 7.4.3.15, and older unsupported versions, and Liferay DXP 7.4 before update 16, 7.3 before update 4, 7.2 before fix pack 19, and older unsupported versions relies on a request parameter to limit the size of files that can be uploaded, which allows remote authenticated users to upload arbitrarily large files to the system's temp folder by modifying the `maxFileSize` parameter.

Bref enable serverless PHP on AWS Lambda. When Bref is used with the Event-Driven Function runtime and the handler is a `RequestHandlerInterface`, then the Lambda event is converted to a PSR7 object. During the conversion process, if the request is a MultiPart, each part is parsed and for each which contains a file, it is extracted and saved in `/tmp` with a random filename starting with `bref_upload_`. The flow mimics what plain PHP does but it does not delete the temporary files when the request has been processed. An attacker could fill the Lambda instance disk by performing multiple MultiPart requests containing files. This vulnerability is patched in 2.1.13.

Opencast is free and open source software for automated video capture and distribution. First noticed in Opencast 13 and 14, Opencast's Elasticsearch integration may generate syntactically invalid Elasticsearch queries in relation to previously acceptable search queries. From Opencast version 11.4 and newer, Elasticsearch queries are retried a configurable number of times in the case of error to handle temporary losses of connection to Elasticsearch. These invalid queries would fail, causing the retry mechanism to begin requerying with the same syntactically invalid query immediately, in an infinite loop. This causes a massive increase in log size which can in some cases cause a denial of service due to disk exhaustion. Opencast 13.10 and Opencast 14.3 contain patches which address the base issue, with Opencast 16.7 containing changes which harmonize the search behaviour between the admin UI and external API. Users are strongly recommended to upgrade as soon as possible if running versions prior to 13.10 or 14.3. While the relevant endpoints require (by default) `ROLE_ADMIN` or `ROLE_API_SERIES_VIEW`, the problem queries are otherwise innocuous. This issue could be easily triggered by normal administrative work on an affected Opencast system. Those who run a version newer than 13.10 and 14.3 and see different results when searching in their admin UI vs your external API or LMS, may resolve the issue by upgrading to 16.7. No known workarounds for the vulnerability are available.

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.

Mattermost versions 8.1.x <= 8.1.10, 9.6.x <= 9.6.0, 9.5.x <= 9.5.2 and 8.1.x <= 8.1.11 fail to limit the size of a request path that includes user inputs which allows an attacker to cause excessive resource consumption, possibly leading to a DoS via sending large request paths

Helm is a tool for managing Charts. Charts are packages of pre-configured Kubernetes resources. Fuzz testing, provided by the CNCF, identified input to functions in the _strvals_ package that can cause an out of memory panic. The _strvals_ package contains a parser that turns strings in to Go structures. The _strvals_ package converts these strings into structures Go can work with. Some string inputs can cause array data structures to be created causing an out of memory panic. Applications that use the _strvals_ package in the Helm SDK to parse user supplied input can suffer a Denial of Service when that input causes a panic that cannot be recovered from. The Helm Client will panic with input to `--set`, `--set-string`, and other value setting flags that causes an out of memory panic. Helm is not a long running service so the panic will not affect future uses of the Helm client. This issue has been resolved in 3.9.4. SDK users can validate strings supplied by users won't create large arrays causing significant memory usage before passing them to the _strvals_ functions.

Teamplus Pro community discussion function has an ‘allocation of resource without limits or throttling’ vulnerability. A remote attacker with general user privilege posting a thread with large content can cause the receiving client device to allocate too much memory, leading to abnormal termination of this client’s Teamplus Pro application.

Allocation of Resources Without Limits or Throttling in GitHub repository nocodb/nocodb prior to 0.92.0.

IBM Cognos Analytics Mobile Server 11.1.7, 11.2.4, and 12.0.0 is vulnerable to Denial of Service due to due to weak or absence of rate limiting. By making unlimited http requests, it is possible for a single user to exhaust server resources over a period of time making service unavailable for other legitimate users. IBM X-Force ID: 230510.

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.

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.

Mealie is a self hosted recipe manager and meal planner. Prior to 1.4.0, the safe_scrape_html function utilizes a user-controlled URL to issue a request to a remote server, however these requests are not rate-limited. While there are efforts to prevent DDoS by implementing a timeout on requests, it is possible for an attacker to issue a large number of requests to the server which will be handled in batches based on the configuration of the Mealie server. The chunking of responses is helpful for mitigating memory exhaustion on the Mealie server, however a single request to an arbitrarily large external file (e.g. a Debian ISO) is often sufficient to completely saturate a CPU core assigned to the Mealie container. Without rate limiting in place, it is possible to not only sustain traffic against an external target indefinitely, but also to exhaust the CPU resources assigned to the Mealie container. This vulnerability is fixed in 1.4.0.